Digital Consumer Behavior: dependence, relative reinforcing value and literacy in the context of social media apps and mobile advertising

ilustraciones

Autores:: Robayo Pinzón, Oscar Javier

Tipo de recurso:: Doctoral thesis

Fecha de publicación:: 2023

Institución:: Universidad Nacional de Colombia

Repositorio:: Universidad Nacional de Colombia

Idioma:: eng

id	UNACIONAL2_003bc03e6a4038509da2b814f93de6d1
oai_identifier_str	oai:repositorio.unal.edu.co:unal/84120
network_acronym_str	UNACIONAL2
network_name_str	Universidad Nacional de Colombia
repository_id_str
dc.title.eng.fl_str_mv	Digital Consumer Behavior: dependence, relative reinforcing value and literacy in the context of social media apps and mobile advertising
dc.title.translated.spa.fl_str_mv	Comportamiento del consumidor digital: dependencia, valor del refuerzo relativo y alfabetización en el contexto de las aplicaciones de redes sociales y la publicidad móvil
title	Digital Consumer Behavior: dependence, relative reinforcing value and literacy in the context of social media apps and mobile advertising
spellingShingle	Digital Consumer Behavior: dependence, relative reinforcing value and literacy in the context of social media apps and mobile advertising 300 - Ciencias sociales::305 - Grupos sociales COMPORTAMIENTO DEL CONSUMIDOR REDES SOCIALES PUBLICIDAD POR INTERNET Consumer behavior Social Networks Internet advertising Temporal discounting Behavioral economics Advertising literacy Social media Mobile advertising Cross-cultural Descuento temporal Economía conductual Alfabetización publicitaria Redes sociales Publicidad móvil Interculturalidad
title_short	Digital Consumer Behavior: dependence, relative reinforcing value and literacy in the context of social media apps and mobile advertising
title_full	Digital Consumer Behavior: dependence, relative reinforcing value and literacy in the context of social media apps and mobile advertising
title_fullStr	Digital Consumer Behavior: dependence, relative reinforcing value and literacy in the context of social media apps and mobile advertising
title_full_unstemmed	Digital Consumer Behavior: dependence, relative reinforcing value and literacy in the context of social media apps and mobile advertising
title_sort	Digital Consumer Behavior: dependence, relative reinforcing value and literacy in the context of social media apps and mobile advertising
dc.creator.fl_str_mv	Robayo Pinzón, Oscar Javier
dc.contributor.advisor.none.fl_str_mv	Rojas Berrio, Sandra Patricia Montoya Restrepo, Luz Alexandra
dc.contributor.author.none.fl_str_mv	Robayo Pinzón, Oscar Javier
dc.contributor.researchgroup.spa.fl_str_mv	Management and Marketing (M&M)
dc.contributor.orcid.spa.fl_str_mv	Robayo-Pinzon, Oscar [0000-0002-1475-2460]
dc.subject.ddc.spa.fl_str_mv	300 - Ciencias sociales::305 - Grupos sociales
topic	300 - Ciencias sociales::305 - Grupos sociales COMPORTAMIENTO DEL CONSUMIDOR REDES SOCIALES PUBLICIDAD POR INTERNET Consumer behavior Social Networks Internet advertising Temporal discounting Behavioral economics Advertising literacy Social media Mobile advertising Cross-cultural Descuento temporal Economía conductual Alfabetización publicitaria Redes sociales Publicidad móvil Interculturalidad
dc.subject.lemb.spa.fl_str_mv	COMPORTAMIENTO DEL CONSUMIDOR REDES SOCIALES PUBLICIDAD POR INTERNET
dc.subject.lemb.eng.fl_str_mv	Consumer behavior Social Networks Internet advertising
dc.subject.proposal.eng.fl_str_mv	Temporal discounting Behavioral economics Advertising literacy Social media Mobile advertising Cross-cultural
dc.subject.proposal.spa.fl_str_mv	Descuento temporal Economía conductual Alfabetización publicitaria Redes sociales Publicidad móvil Interculturalidad
description	ilustraciones
publishDate	2023
dc.date.accessioned.none.fl_str_mv	2023-06-30T20:16:41Z
dc.date.available.none.fl_str_mv	2023-06-30T20:16:41Z
dc.date.issued.none.fl_str_mv	2023-06-29
dc.type.spa.fl_str_mv	Trabajo de grado - Doctorado
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/doctoralThesis
dc.type.version.spa.fl_str_mv	info:eu-repo/semantics/acceptedVersion
dc.type.coar.spa.fl_str_mv	http://purl.org/coar/resource_type/c_db06
dc.type.content.spa.fl_str_mv	Text
dc.type.redcol.spa.fl_str_mv	http://purl.org/redcol/resource_type/TD
format	http://purl.org/coar/resource_type/c_db06
status_str	acceptedVersion
dc.identifier.uri.none.fl_str_mv	https://repositorio.unal.edu.co/handle/unal/84120
dc.identifier.instname.spa.fl_str_mv	Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv	Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv	https://repositorio.unal.edu.co/
url	https://repositorio.unal.edu.co/handle/unal/84120 https://repositorio.unal.edu.co/
identifier_str_mv	Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv	eng
language	eng
dc.relation.references.spa.fl_str_mv	Abbasi, I. S. (2019). Social media addiction in romantic relationships: Does user’s age influence vulnerability to social media infidelity? Personality and Individual Differences, 139, 277–280. https://doi.org/https://doi.org/10.1016/j.paid.2018.10.038 Abi-Jaoude, E., Naylor, K. T., & Pignatiello, A. (2020). Smartphones, social media use and youth mental health. CMAJ, 192(6), E136–E141. https://doi.org/10.1503/cmaj.190434 Achterberg, M., Dobbelaar, S., Boer, O. D., & Crone, E. A. (2021). Perceived stress as mediator for longitudinal effects of the COVID-19 lockdown on wellbeing of parents and children. Scientific Reports, 11(1), 1–14. https://doi.org/10.1038/s41598-021-81720-8 Acuff, S. F., MacKillop, J., & Murphy, J. G. (2018). Applying behavioral economic theory to problematic Internet use: An initial investigation. Psychology of Addictive Behaviors, 32(7), 846–857. https://doi.org/10.1037/adb0000404 Agnew, R. S. (2001). Building on the foundation of general strain theory: Specifying the types of strain most likely to lead to crime and delinquency. Journal of Research In Crime and Delinquency, 36, 123–155. Akers, R. L. (1991). Addiction: The Troublesome Concept. Journal of Drug Issues, 21(4), 777–793. https://doi.org/10.1177/002204269102100407 Alessi, S. M., & Petry, N. M. (2003). Pathological gambling severity is associated with impulsivity in a delay discounting procedure. Behavioural Processes, 64(3), 345–354. https://doi.org/10.1016/S0376-6357(03)00150-5 Almenara, J. C., Pérez, S. M., Ortiz, R. V, Nuñez, J. P. L., Hernandez, M. L. O., & López, I. H. (2020). Students addiction to online social networks: A study in the latin american context . Revista Complutense de Educacion, 31(1), 1–12. https://doi.org/10.5209/rced.61722 Anderson, J., & Bower, G. (1973). Human Associative Memory. Winston and Sons. App Annie Intelligence. (2017). Top Predictions for the App Economy in 2018. https://www.appannie.com/en/insights/market-data/predictions-app-economy-2018/ App Annie Intelligence. (2018). 2017 Retrospective: A Monumental Year for the App Economy. https://www.appannie.com/en/insights/market-data/app-annie-2017-retrospective/#download App Annie Intelligence. (2020). State of Mobile 2020. https://www.appannie.com/en/go/state-of-mobile-2020/ Arfer, K B, & Luhmann, C. C. (2015). The predictive accuracy of intertemporal-choice models. British Journal of Mathematical and Statistical Psychology, 68(2), 326–341. https://doi.org/10.1111/bmsp.12049 Arfer, Kodi B., & Luhmann, C. C. (2015). The predictive accuracy of intertemporal-choice models. British Journal of Mathematical and Statistical Psychology, 68(2), 326–341. https://doi.org/10.1111/bmsp.12049 Arora, A., & Chakraborty, P. (2020). Diagnosis, prevalence and effects of nomophobia – A review. Psychiatry Research, 288. https://doi.org/10.1016/j.psychres.2020.112975 Aschbrenner, K. A., Naslund, J. A., Tomlinson, E. F., Kinney, A., Pratt, S. I., & Brunette, M. F. (2019). Adolescents’ use of digital technologies and preferences for mobile health coaching in public mental health settings. Frontiers in Public Health, 7(JUL), 1–9. https://doi.org/10.3389/fpubh.2019.00178 Aslam, W., Arif, I., & Farhat, K. (2018). Smartphone dependence among students: Gender-based analysis. International Journal of Electronic Marketing and Retailing, 9(3), 269–287. https://doi.org/10.1504/IJEMR.2018.092696 Ba, H., Tally, W., & Tsikalas, K. (2002). Investigating children’s emerging digital literacies. Journal of Technology, Learning, and Assessment, 1(4), 1–49. https://www.scopus.com/inward/record.uri?eid=2-s2.0-3042582770&partnerID=40&md5=78dee15bf231eff926601c39b9014841 Baccarella, C. V, Wagner, T. F., Kietzmann, J. H., & McCarthy, I. P. (2018). Social media? It’s serious! Understanding the dark side of social media. European Management Journal, 36(4), 431–438. https://doi.org/https://doi.org/10.1016/j.emj.2018.07.002 Bae, S. M. (2019). The relationship between smartphone use for communication, social capital, and subjective well-being in Korean adolescents: Verification using multiple latent growth modeling. Children and Youth Services Review, 96, 93–99. https://doi.org/10.1016/j.childyouth.2018.11.032 Bakó, R., & Tőkés, G. E. (2018). Parental mediation and Romanian young children’s digital practices. Revista Română de Sociologie, 29(1–2), 23–36. Balasubramanian, S., Peterson, R. A., & Jarvenpaa, S. L. (2002). Exploring the implications of M-commerce for markets and marketing. Journal of the Academy of Marketing Science, 30(4), 348–361. https://doi.org/10.1177/009207002236910 Barnes, S. J, Pressey, A. D., & Scornavacca, E. (2019). Mobile ubiquity: Understanding the relationship between cognitive absorption, smartphone addiction and social network services. Computers in Human Behavior, 90, 246–258. https://doi.org/10.1016/j.chb.2018.09.013 Bassett, D. T., Irons, J. G., Schultz, N. R., & Correia, C. J. (2020). Initial validation of the Multiple-Choice procedure for measuring video game playing. Addiction Research and Theory, 28(4), 314–320. https://doi.org/10.1080/16066359.2019.1650350 Baumrind, D. (1968). Authoritarian versus authoritative parental control. Adolescence, Fall, 255–272. Bell, S., Clarke, R., Paterson, P., & Mounier-Jack, S. (2020). Parents’ and guardians’ views and experiences of accessing routine childhood vaccinations during the coronavirus (COVID-19) pandemic: A mixed methods study in England. PLoS ONE, 15(12), 1–18. https://doi.org/10.1371/journal.pone.0244049 Benson, T. A., Little, C. S., Henslee, A. M., & Correia, C. J. (2009). Effects of reinforcer magnitude and alternative reinforcer delay on preference for alcohol during a multiple-choice procedure. Drug and Alcohol Dependence, 100(1), 161–163. https://doi.org/https://doi.org/10.1016/j.drugalcdep.2008.09.005 Bickel, W. K., Pitcock, J. A., Yi, R., & Angtuaco, E. J. C. (2009). Congruence of BOLD response across intertemporal choice conditions: Fictive and real money gains and losses. Journal of Neuroscience, 29(27), 8839–8846. https://doi.org/10.1523/JNEUROSCI.5319-08.2009 Bickel, W. K., & Marsch, L. A. (2001). Toward a behavioral economic understanding of drug dependence: Delay discounting processes. Addiction, 96(1), 73–86. https://doi.org/10.1046/j.1360-0443.2001.961736.x Bickel, W. K, Johnson, M. W., Koffarnus, M. N., MacKillop, J., & Murphy, J. G. (2014). The Behavioral Economics of Substance Use Disorders: Reinforcement Pathologies and Their Repair. Annual Review of Clinical Psychology, 10(1), 641–677. https://doi.org/10.1146/annurev-clinpsy-032813-153724 Billieux, J. (2012). Problematic use of the mobile phone: A literature review and a pathways model. Current Psychiatry Reviews, 8(4), 299–307. https://doi.org/10.2174/157340012803520522 Bishop, M. (2019). Consumer Informatics and Digital Health: Solutions for Health and Health Care. In N. Edmunds, C. Hass, & E. Holve (Eds.), Consumer Informatics and Digital Health: Solutions for Health and Health Care (pp. 61–86.). Springer. Błachnio, A., Przepiorka, A., & Pantic, I. (2016). Association between Facebook addiction, self-esteem and life satisfaction: A cross-sectional study. Computers in Human Behavior, 55, 701–705. https://doi.org/https://doi.org/10.1016/j.chb.2015.10.026 Blum-Ross, A., & Livingstone, S. (2016). Families and screen time: Current advice and emerging research. Media Policy Brief 17. London School of Economics and Political Science. http://eprints.lse.ac.uk/66927/1/Policy Brief 17- Families Screen Time.pdf Boelsen-Robinson, T., Backholer, K., & Peeters, A. (2016). Digital marketing of unhealthy foods to Australian children and adolescents. Health Promotion International, 31(3), 523–533. https://doi.org/10.1093/heapro/dav008 Boerman, S. C., & van Reijmersdal, E. A. (2020). Disclosing Influencer Marketing on YouTube to Children: The Moderating Role of Para-Social Relationship. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.03042 Boush, D. M., Friestad, M., & Rose, G. M. (1994). Adolescent Skepticism toward TV Advertising and Knowledge of Advertiser Tactics. Journal of Consumer Research, 21(1), 165–175. http://www.jstor.org/stable/2489748 Bruner, G. C., & Kumar, A. (2007). Attitude toward Location-based Advertising. Journal of Interactive Advertising, 7(2), 3–15. https://doi.org/10.1080/15252019.2007.10722127 Buono, F. D., Sprong, M. E., Lloyd, D. P., Cutter, C. J., Printz, D. M. B., Sullivan, R. M., & Moore, B. A. (2017). Delay Discounting of Video Game Players: Comparison of Time Duration among Gamers. Cyberpsychology, Behavior, and Social Networking, 20(2), 104–108. https://doi.org/10.1089/cyber.2016.0451 Busch, P. A., & McCarthy, S. (2021). Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area. Computers in Human Behavior, 114. https://doi.org/10.1016/j.chb.2020.106414 Butler, L. H., Irons, J. G., Bassett, D. T., & Correia, C. J. (2018). Using the Multiple-Choice Procedure to Measure the Relative Reinforcing Efficacy of Gambling: Initial Validity Evidence Among College Students. Journal of Gambling Studies, 34(2), 513–520. https://doi.org/10.1007/s10899-017-9716-0 Calvert, S. L. (2008). Children as consumers: Advertising and marketing. Future of Children, 18(1), 205–234. https://doi.org/10.1353/foc.0.0001 Calzada Pérez, M. (2018). Visual Rhetorical Figures in Cross-Cultural Consumer Behavior: The Impact of Moderating Factors in a Spanish Language Context. Journal of Current Issues and Research in Advertising, 39(1), 1–21. https://doi.org/10.1080/10641734.2017.1372320 CEPAL. (2018). La inversión extranjera directa en América Latina y El Caribe 2018. https://www.cepal.org/es/publicaciones/43689-la-inversion-extranjera-directaamerica-latina-caribe-2018 Chaffey, D. (2022). Global social media statistics research summary. Smart Insights. Chen, B., Liu, F., Ding, S., Ying, X., Wang, L., & Wen, Y. (2017). Gender differences in factors associated with smartphone addiction: A cross-sectional study among medical college students. BMC Psychiatry, 17(1). https://doi.org/10.1186/s12888-017-1503-z Chen, C. Y. (2018). Smartphone addiction: psychological and social factors predict the use and abuse of a social mobile application. In Information Communication and Society. https://doi.org/10.1080/1369118X.2018.1518469 Chen, Y., Zhu, S., Xu, H., & Zhou, Y. (2013). Children’s exposure to mobile in-app advertising: An analysis of content appropriateness. Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013, 196–203. https://doi.org/10.1109/SocialCom.2013.36 Cherif, E., & Lemoine, J. F. (2015). The effect of consistency between verbal and non verbal language of recommendation agent on consumer’s behaviors . 20th Symposium of the Association Information and Management 2015, AIM 2015. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84996602448&partnerID=40&md5=d7e1c8193eb66f20fc911cfb012b631c Cho, Y. G. (2020). Excessive and problematic smartphone use and poor mental health in adolescents. Korean Journal of Family Medicine, 41(2), 73–74. https://doi.org/10.4082/KJFM.41.2E Clarke, B., & Svanaes, S. (2014). Literature Review of Research on Online Food and Beverage Marketing to Children. https://www.asa.org.uk/asset/cd73763f-8619-4939-be6421d122566ea7/ Clarke III, I. (2008). Emerging Value Propositions For M-Commerce. Journal of Business Strategies, 25(2 SE-Research Articles), 41–57. https://doi.org/10.54155/jbs.25.2.41-57 ComScore Inc. (2018). Global Digital Future in Focus 2018. https://www.comscore.com/Insights/Presentations-and-Whitepapers/2018/Global-Digital-Future-in-Focus-2018 Confos, N., & Davis, T. (2016). Young consumer-brand relationship building potential using digital marketing. European Journal of Marketing, 50(11), 1993–2017. https://doi.org/10.1108/EJM-07-2015-0430 Cornish, L. (2014). ‘Mum, can I play on the internet?’ International Journal of Advertising, 33(3), 437–473. https://doi.org/10.2501/IJA-33-3-437-473 Correia, C. J., & Little, C. (2006). Use of a multiple-choice procedure with college student drinkers. Psychology of Addictive Behaviors, 20(4), 445–452. https://doi.org/10.1037/0893-164X.20.4.445 Creswell, J. (2013). Qualitative, quantitative, and mixed methods approaches. Research Design, 1–26. https://doi.org/10.2307/3152153 Critchfield, T. S., & Kollins, S. H. (2001). Temporal discounting: Basic research and theanalysis of socially important behavior. Journal of Applied Behavior Analysis, 34(1), 101–122. https://doi.org/10.1901/jaba.2001.34-101 Dalvi-Esfahani, M., Niknafs, A., Alaedini, Z., Barati Ahmadabadi, H., Kuss, D. J., & Ramayah, T. (2021). Social Media Addiction and Empathy: Moderating impact of personality traits among high school students. Telematics and Informatics, 57(October 2020), 101516. https://doi.org/10.1016/j.tele.2020.101516 DANE. (2018). Encuesta nacional de calidad de vida (ECV) 2018. https://www.dane.gov.co/files/investigaciones/condiciones_vida/calidad_vida/Presentacion_ECV_2018.pdf Data.ai. (2022). State of Mobile 2022. https://www.data.ai/en/go/state-of-mobile-2022/ Daugherty, J. R., & Brase, G. L. (2010). Taking time to be healthy: Predicting health behaviors with delay discounting and time perspective. Personality and Individual Differences, 48(2), 202–207. https://doi.org/10.1016/j.paid.2009.10.007 Davis, C., Patte, K., Curtis, C., & Reid, C. (2010). Immediate pleasures and future consequences. A neuropsychological study of binge eating and obesity. Appetite, 54(1), 208–213. https://doi.org/10.1016/j.appet.2009.11.002 De Jans, S, Van de Sompel, D., Hudders, L., & Cauberghe, V. (2019). Advertising targeting young children: an overview of 10 years of research (2006–2016). International Journal of Advertising, 38(2), 173–206. https://doi.org/10.1080/02650487.2017.1411056 De Jans, Steffi, & Hudders, L. (2020). Disclosure of Vlog Advertising Targeted to Children. Journal of Interactive Marketing, 52(1), 1–19. https://doi.org/10.1016/j.intmar.2020.03.003 De Pauw, P., Cauberghe, V., & Hudders, L. (2019). Taking Children’s Advertising Literacy to a Higher Level: A Multilevel Analysis Exploring the Influence of Parents, Peers, and Teachers. Communication Research, 46(8), 1197–1221. https://doi.org/10.1177/0093650218797876 Deloitte. (2019). Consumo móvil en Colombia. https://www2.deloitte.com/content/dam/Deloitte/co/Documents/consumer-business/Reporte consumo movil 2019.pdf Derks, D., & Bakker, A. B. (2014). Smartphone Use, Work-Home Interference, and Burnout: A Diary Study on the Role of Recovery. Applied Psychology, 63(3), 411–440. https://doi.org/10.1111/j.1464-0597.2012.00530.x Dixon, M. R., Jacobs, E. A., & Sanders, S. (2006). Contextual control of delay discounting by pathological gamblers. Journal of Applied Behavior Analysis, 39(4), 413–422. https://doi.org/10.1901/jaba.2006.173-05 Donati, M. A., Guido, C. A., De Meo, G., Spalice, A., Sanson, F., Beccari, C., & Primi, C. (2021). Gaming among Children and Adolescents during the COVID-19 Lockdown: The Role of Parents in Time Spent on Video Games and Gaming Disorder Symptoms. In International journal of environmental research and public health (Vol. 18, Issue 12). https://doi.org/10.3390/ijerph18126642 Esmaeili Rad, M., & Ahmadi, F. (2018). A new method to measure and decrease the online social networking addiction. In Asia-Pacific Psychiatry. https://doi.org/10.1111/appy.12330 Evans, N. J., Carlson, L., & Hoy, M. G. (2013). Coddling our kids: Can parenting style affect attitudes toward advergames? Journal of Advertising, 42(2–3), 228–240. https://doi.org/10.1080/00913367.2013.774602 Eyler, A. A., Schmidt, L., Beck, A., Gilbert, A., Kepper, M., & Mazzucca, S. (2021). Children’s Physical Activity and Screen Time during COVID-19 Pandemic: A Qualitative Exploration of Parent Perceptions. Health Behavior & Policy Review, 8(3), 236–246. https://doi.org/10.14485/HBPR.8.3.5 Family.TV, & Yeep! Kid´s Media. (2017). Consumo de medios de niños, adolescentes y padres en América Latina 2017. https://colombiadigital.net/actualidad/noticias/item/9673-cuanto-tiempo-pasan-los-ninos-latinoamericanos-conectados-a-internet.html/ Feijoo-Fernández, B., Sádaba-Chalezquer, C., & Bugueño-Ipinza, S. (2020). Anuncios entre vídeos, juegos y fotos. Impacto publicitario que recibe el menor a través del teléfono móvil. Profesional de La Información, 29(6 SE-Artículos de investigación / Research articles). https://doi.org/10.3145/epi.2020.nov.30 Feijoo, B., & Sádaba, C. (2020). Is my kid that naive? Parents’ perceptions of their children’s attitudes towards advertising on smartphones in Chile. Journal of Children and Media. https://doi.org/10.1080/17482798.2020.1866626 Feijoo, B., & Sádaba, C. (2022). When Ads Become Invisible: Minors’ Advertising Literacy While Using Mobile Phones. Media and Communication, 10(1), 339–349. https://doi.org/10.17645/mac.v10i1.4720 Folkvord, F., Lupiáñez-Villanueva, F., Codagnone, C., Bogliacino, F., Veltri, G., & Gaskell, G. (2017). Does a ‘protective’ message reduce the impact of an advergame promoting unhealthy foods to children? An experimental study in Spain and The Netherlands. Appetite, 112, 117–123. https://doi.org/10.1016/j.appet.2017.01.026 Foxall, G R. (2016). Addiction as consumer choice: exploring the cognitive dimension (First Edit). Routledge Taylor & Francis Group. Foxall, G R. (2018). Advanced Introduction to Consumer Behavior Analysis. Edward Elgar Publishing Ltd. Foxall, G R, & Sigurdsson, V. (2012). When loss rewards: The near-miss effect in slot machine gambling. Analysis of Gambling Behavior, 6, 5–22. Foxall, G. R. (2016). Addiction as consumer choice: exploring the cognitive dimension (First Edit). Routledge Taylor & Francis Group. Foxall, G. R. (2018). Advanced Introduction to Consumer Behavior Analysis. Edward Elgar Publishing Ltd. Foxall, G. R, & Sigurdsson, V. (2012). When loss rewards: The near-miss effect in slot machine gambling. Analysis of Gambling Behavior, 6, 5–22. Foxall, G. R. (1998). Radical behaviorist interpretation: Generating and evaluating an account of consumer behavior. The Behavior Analyst, 21(2), 321–354. https://doi.org/10.1007/BF03391971 Foxall, G. R. (2010). Invitation to Consumer Behavior Analysis. Journal of Organizational Behavior Management, 30(2), 92–109. https://doi.org/10.1080/01608061003756307 Franck, G. (2019). The economy of attention. Journal of Sociology, 55(1), 8–19. https://doi.org/10.1177/1440783318811778 Franks, J., Chenhall, R., & Keogh, L. (2018). The Facebook Sabbatical as a Cycle: Describing the Gendered Experience of Young Adults as They Navigate Disconnection and Reconnection. Social Media + Society, 4(3), 1–14. https://doi.org/10.1177/2056305118801995 Fransson, A., Chóliz, M., & Håkansson, A. (2018). Addiction-like mobile phone behavior - validation and association with problem gambling. Frontiers in Psychology, 9(MAY). https://doi.org/10.3389/fpsyg.2018.00655 Friestad, M., & Wright, P. (1994). The Persuasion Knowledge Model: How People Cope with Persuasion Attempts. Journal of Consumer Research, 21(1), 1–31. http://www.jstor.org/stable/2489738 Fritz, W., Sohn, S., & Seegebarth, B. (2017). Broadening the Perspective on Mobile Marketing: An Introduction. Psychology and Marketing, 34(2), 113–118. https://doi.org/10.1002/mar.20978 Galina, T., Urkmez, T., & Ralf, W. (2018). Cross-cultural variations in consumer behavior: A literature review of international studies. South East European Journal of Economics and Business, 13(2), 49–71. https://doi.org/10.2478/jeb-2018-0012 Gao, T., Li, J., Zhang, H., Gao, J., Kong, Y., Hu, Y., & Mei, S. (2018). The influence of alexithymia on mobile phone addiction: The role of depression, anxiety and stress. Journal of Affective Disorders, 225, 761–766. https://doi.org/10.1016/j.jad.2017.08.020 Ghai, S., Magis-Weinberg, L., Stoilova, M., Livingstone, S., & Orben, A. (2022). Social media and adolescent well-being in the Global South. Current Opinion in Psychology, 46, 101318. https://doi.org/https://doi.org/10.1016/j.copsyc.2022.101318 Gilroy, S. P., & Kaplan, B. A. (2020). Modeling Treatment-Related Decision-Making Using Applied Behavioral Economics: Caregiver Perspectives in Temporally-Extended Behavioral Treatments. Journal of Abnormal Child Psychology, 48(5), 607–618. https://doi.org/10.1007/s10802-020-00619-6 Gilroy, S. P., & Picardo, R. (2022). Applications of operant demand to treatment selection III: Consumer behavior analysis of treatment choice. Journal of the Experimental Analysis of Behavior. https://doi.org/10.1002/jeab.758 Gökçearslan, Ş., Mumcu, F. K., Haşlaman, T., & Çevik, Y. D. (2016). Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students. Computers in Human Behavior, 63, 639–649. https://doi.org/10.1016/j.chb.2016.05.091 Granato, D., de Araújo Calado, V. M., & Jarvis, B. (2014). Observations on the use of statistical methods in Food Science and Technology. Food Research International, 55, 137–149. https://doi.org/10.1016/j.foodres.2013.10.024 Gray, O. (2005). Responsible advertising in Europe. Young Consumers, 6(4), 19–23. https://doi.org/10.1108/17473610510701269 Greenwald, M. K., & Stitzer, M. L. (2000). Antinociceptive, subjective and behavioral effects of smoked marijuana in humans. Drug and Alcohol Dependence, 59(3), 261–275. https://doi.org/https://doi.org/10.1016/S0376-8716(99)00128-3 Grice, J., Barrett, P., Cota, L., Felix, C., Taylor, Z., Garner, S., Medellin, E., & Vest, A. (2017). Four bad habits of modern psychologists. Behavioral Sciences, 7(3). https://doi.org/10.3390/bs7030053 Griffiths, R. R., Troisi, J. R., Silverman, K., & Mumford, G. K. (1993). Multiple-choice procedure: an efficient approach for investigating drug reinforcement in humans. Behavioural Pharmacology, 4(1), 3–13. Grimaldi-Puyana, M., Fernández-Batanero, J. M., Fennell, C., & Sañudo, B. (2020). Associations of objectively-assessed smartphone use with physical activity, sedentary behavior, mood, and sleep quality in young adults: A cross-sectional study. International Journal of Environmental Research and Public Health, 17(10). https://doi.org/10.3390/ijerph17103499 Hair Jr., J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2013). Multi-Variate Data Analysis. Dolrling Kindersley. Hair Jr., J. F., Black, W., Babin, B., & Anderson, R. (2014). Multivariate Data Analysis: A Global Perspective (7th ed.). Pearson Education Limited. https://doi.org/10.1038/259433b0 Hair Jr., J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2013). Multi-Variate Data Analysis. Dolrling Kindersley. He, J., Van de Vijver, F. J. R., Fetvadjiev, V. H., Dominguez Espinosa, A., Adams, B., Alonso-Arbiol, I., Aydinli-Karakulak, A., Buzea, C., Dimitrova, R., Fortin, A., Hapunda, G., Ma, S., Sargautyte, R., Sim, S., Schachner, M. K., Suryani, A., Zeinoun, P., & Zhang, R. (2017). On Enhancing the Cross-Cultural Comparability of Likert-Scale Personality and Value Measures: A Comparison of Common Procedures. European Journal of Personality, 31(6), 642–657. https://doi.org/10.1002/per.2132 Hermeking, M. (2005). Culture and internet consumption: Contributions from cross-cultural marketing and advertising research. Journal of Computer-Mediated Communication, 11(1). https://doi.org/10.1111/j.1083-6101.2006.tb00310.x Herrewijn, L., De Jans, S., Hudders, L., & Cauberghe, V. (2021). Leveling up advertising literacy! Investigating the cognitive and motivational effectiveness of a digital game for learning aimed at improving children’s advertising literacy. Electronic Commerce Research and Applications, 46. https://doi.org/10.1016/j.elerap.2021.101036 Hoek, R. W., Rozendaal, E., van Schie, H. T., van Reijmersdal, E. A., & Buijzen, M. (2020). Testing the Effectiveness of a Disclosure in Activating Children’s Advertising Literacy in the Context of Embedded Advertising in Vlogs. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.00451 Holland, G., & Tiggemann, M. (2016). A systematic review of the impact of the use of social networking sites on body image and disordered eating outcomes. Body Image, 17, 100–110. https://doi.org/https://doi.org/10.1016/j.bodyim.2016.02.008 Hudders, L., & Cauberghe, V. (2018). The mediating role of advertising literacy and the moderating influence of parental mediation on how children of different ages react to brand placements. Journal of Consumer Behaviour, 17(2), 197–210. https://doi.org/10.1002/cb.1704 Hudders, L., de Pauw, P., Cauberghe, V., Panic, K., Zarouali, B., & Rozendaal, E. (2017). Shedding New Light on How Advertising Literacy Can Affect Children’s Processing of Embedded Advertising Formats: A Future Research Agenda. Journal of Advertising, 46(2), 333–349. https://doi.org/10.1080/00913367.2016.1269303 Hussain, Z., Griffiths, M. D., & Sheffield, D. (2017). An investigation into problematic smartphone use: The role of narcissism, anxiety, and personality factors. Journal of Behavioral Addictions, 6(3), 378–386. https://doi.org/10.1556/2006.6.2017.052 Huynh, A., & Wisk, L. E. (2022). Application of behavioral economics for understanding health behaviors among adolescents and young adults. Current Opinion in Pediatrics, 34(4), 326–333. https://doi.org/10.1097/MOP.0000000000001126 IFT. (2021). Las audiencias infantiles y el consumo de publicidad televisiva. http://www.ift.org.mx/sites/default/files/contenidogeneral/medios-y-contenidos-audiovisuales/audienciasinfantilesypublicidad202001.pdf INE. (2019). Encuesta sobre Equipamiento y Uso de Tecnologías de Información y Comunicación en los Hogares Año 2019. https://www.ine.es/prensa/tich_2019.pdf INEGI. (2019). Comunicado de prensa núm. 103/20. https://www.inegi.org.mx/contenidos/saladeprensa/boletines/2020/OtrTemEcon/ENDUTIH_2019.pdf Jayakumar, R., & Janaki, T. (2018). Role of Media in Child Development. In M. Rajakumar & A. Selvaraj (Eds.), Media and Child Development Vol I (First Edit, pp. 247–253). Lulu Publication. John, D. R. (1999). Consumer socialization of children: A retrospective look at twenty-five years of research. Journal of Consumer Research, 26(3), 183–213. https://doi.org/10.1086/209559 Jones, H. E., Garrett, B. E., & Griffiths, R. R. (1999). Subjective and Physiological Effects of Intravenous Nicotine and Cocaine in Cigarette Smoking Cocaine Abusers. Journal of Pharmacology and Experimental Therapeutics, 288, 188–197. Jun, S., & Choi, E. (2015). Academic stress and Internet addiction from general strain theory framework. Computers in Human Behavior, 49, 282–287. https://doi.org/10.1016/j.chb.2015.03.001 Junglas, I. A., & Watson, R. T. (2003). U-Commerce: A Conceptual Extension of E-Commerce and M-Commerce. ICIS. Kardefelt-Winther, D. (2014). A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use. Computers in Human Behavior, 31(1), 351–354. https://doi.org/10.1016/j.chb.2013.10.059 Keinan, A., & Kivetz, R. (2011). Productivity orientation and the consumption of collectable experiences. Journal of Consumer Research, 37(6), 935–950. https://doi.org/10.1086/657163 Kemp, S. (2020). Digital 2020: Global Digital Overview. https://datareportal.com/reports/digital-2020-global-digital-overview?utm_source=Reports&utm_medium=PDF&utm_campaign=Digital_2020&utm_content=Dual_Report_Promo_Slide Kemp, S. (2022a). Digital 2022: Colombia. Digital 2022: Colombia. https://datareportal.com/reports/digital-2022-colombia Kemp, S. (2022b). Digital 2022 Global Overview Report. https://kepios.com/reports Kim, K., Milne, G. R., & Bahl, S. (2018). Smart phone addiction and mindfulness: an intergenerational comparison. International Journal of Pharmaceutical and Healthcare Marketing, 12(1), 25–43. https://doi.org/10.1108/IJPHM-08-2016-0044 Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. https://www.inf.ufsc.br/~aldo.vw/kitchenham.pdf Kizgin, H., Jamal, A., Dey, B. L., & Rana, N. P. (2018). The Impact of Social Media on Consumers’ Acculturation and Purchase Intentions. Information Systems Frontiers, 20(3), 503–514. https://doi.org/10.1007/s10796-017-9817-4 Klein, D. A., Paradise, S. L., & Landis, C. A. (2020). Screening and Counseling Adolescents and Young Adults: A Framework for Comprehensive Care. American Family Physician, 101(3), 147–158. Kopp, K. (2018). Canadians Advance Bill to Limit the Marketing of Unhealthy Foods to Children, Including Online. The Center for Digital Democracy. https://www.democraticmedia.org/blog/canadians-advance-bill-limit-marketing-unhealthy-foods-children-including-online Kotrla Topić, M., Varga, V., & Jelovčić, S. (2021). Digital Technology Use during the COVID-19 Pandemic and Its Relations to Sleep Quality and Life Satisfaction in Children and Parents. Drustvena Istrazivanja, 30(2), 249–269. https://doi.org/10.5559/di.30.2.04 Krishnamurti, T., Ling Murtaugh, K., Van Nunen, L., Davis, A. L., Ipser, J., & Shoptaw, S. (2020). Spending money to make change: Association of methamphetamine abstinence and voucher spending among contingency management pilot participants in South Africa. Journal of Substance Abuse Treatment, 112, 60–67. https://doi.org/10.1016/j.jsat.2020.01.014 Kurz, C. F., & König, A. N. (2022). Predicting time preference from social media behavior. Future Generation Computer Systems, 130, 155–163. https://doi.org/10.1016/j.future.2021.12.017 Lachmann, B., Sindermann, C., Sariyska, R. Y., Luo, R., Melchers, M. C., Becker, B., Cooper, A. J., & Montag, C. (2018). The Role of Empathy and Life Satisfaction in Internet and Smartphone Use Disorder. Frontiers in Psychology, 9, 398. https://doi.org/10.3389/fpsyg.2018.00398 Lapierre, M. A., & Choi, E. (2021). Parental awareness of new online advertising techniques targeting children: an exploratory study of American parents. Young Consumers, 22(2), 290–305. https://doi.org/10.1108/YC-12-2020-1271 Laurence, P. G., Busin, Y., da Cunha Lima, H. S., & Macedo, E. C. (2020). Predictors of problematic smartphone use among university students. Psicologia: Reflexao e Critica, 33(1). https://doi.org/10.1186/s41155-020-00147-8 Lee, M., Han, M., & Pak, J. (2018). Analysis of behavioral characteristics of smartphone addiction using data mining. Applied Sciences (Switzerland), 8(7). https://doi.org/10.3390/app8071191 Lee, S., Kim, M., Mendoza, J. S., & McDonough, I. M. (2018). Addicted to cellphones: exploring the psychometric properties between the nomophobia questionnaire and obsessiveness in college students. Heliyon, 4(11). https://doi.org/10.1016/j.heliyon.2018.e00895 Lee, Y. K., Chang, C. T., Lin, Y., & Cheng, Z. H. (2014). The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress. Computers in Human Behavior, 31(1), 373–383. https://doi.org/10.1016/j.chb.2013.10.047 Levenson, J. C., Shensa, A., Sidani, J. E., Colditz, J. B., & Primack, B. A. (2016). The association between social media use and sleep disturbance among young adults. Preventive Medicine, 85, 36–41. https://doi.org/https://doi.org/10.1016/j.ypmed.2016.01.001 Lian, L., You, X., Huang, J., & Yang, R. (2016). Who overuses Smartphones? Roles of virtues and parenting style in Smartphone addiction among Chinese college students. Computers in Human Behavior, 65, 92–99. https://doi.org/10.1016/j.chb.2016.08.027 Little, D. R., & Smith, P. L. (2018). Replication is already mainstream: Lessons from small-N designs. The Behavioral and Brain Sciences, 41, e141. https://doi.org/10.1017/S0140525X18000766 Liu, Q. Q., Zhang, D. J., Yang, X. J., Zhang, C. Y., Fan, C. Y., & Zhou, Z. K. (2018). Perceived stress and mobile phone addiction in Chinese adolescents: A moderated mediation model. Computers in Human Behavior, 87, 247–253. https://doi.org/10.1016/j.chb.2018.06.006 Livingstone, S., Blum-Ross, A., Pavlick, J., & Ólafsson, K. (2018). In the digital home, how do parents support their children and who supports them? http://www.lse.ac.uk/media-and-communications/assets/documents/research/preparing-for-a-digital-future/P4DF-Survey-Report-1-In-the-digital-home.pdf Lopez-Fernandez, O., Männikkö, N., Kääriäinen, M., Griffiths, M. D., & Kuss, D. J. (2018). Mobile gaming and problematic smartphone use: A comparative study between Belgium and Finland. Journal of Behavioral Addictions, 7(1), 88–99. https://doi.org/10.1556/2006.6.2017.080 Lua, A. (2022). 20 Top social media sites to consider for your brand in 2022. London: Routledge. Macias, W. (2003). A Beginning Look at the Effects of Interactivity, Product Involvement and Web Experience on Comprehension: Brand Web Sites as Interactive Advertising. Journal of Current Issues & Research in Advertising, 25(2), 31–44. https://doi.org/10.1080/10641734.2003.10505147 MacKillop, J., Amlung, M. T., Few, L. R., Ray, L. A., Sweet, L. H., & Munafò, M. R. (2011). Delayed reward discounting and addictive behavior: A meta-analysis. Psychopharmacology, 216(3), 305–321. https://doi.org/10.1007/s00213-011-2229-0 Madden, G. J., & Johnson, P. S. (2010). A delay-discounting primer. In G. J. Madden & W. K. Bickel (Eds.), Impulsivity: The behavioral and neurological science of discounting (pp. 11–37). American Psychological Association. http://dx.doi.org/10.1037/12069-001 Madden, G. J., Petry, N. M., Badger, G. J., & Bickel, W. K. (1997). Impulsive and self-control choices in opioid-dependent patients and non-drug-using control participants: drug and monetary rewards. Experimental and Clinical Psychopharmacology, 5(3), 256—262. https://doi.org/10.1037//1064-1297.5.3.256 McDonald, J. A., Sroka, C., Olivares, E., Marin, M., Gurrola, M., & Sharkey, J. R. (2018). Patterns of screen time among rural Mexican-American children on the New Mexico-Mexico border. Preventing Chronic Disease, 15(9). https://doi.org/10.5888/pcd15.180070 Meng, H., Cao, H., Hao, R., Zhou, N., Liang, Y., Wu, L., Jiang, L., Ma, R., Li, B., Deng, L., Lin, Z., Lin, X., & Zhang, J. (2020). Smartphone use motivation and problematic smartphone use in a national representative sample of Chinese adolescents: The mediating roles of smartphone use time for various activities. Journal of Behavioral Addictions, 9(1), 163–174. https://doi.org/10.1556/2006.2020.00004 Mikeska, J., Harrison, R. L., Carlson, L., & Coryn, C. L. S. (2017). The influence of parental and communication style on consumer socialization: A meta-analysis informs marketing strategy considerations involving parent-child interventions. Journal of Advertising Research, 57(3), 319–334. https://doi.org/10.2501/JAR-2017-002 Moreno López, N. M., González Robles, A. C., & Torres Gómez, A. C. (2017). Alfabetización digital a padres de familia en el uso de las redes sociales . Alteridad. Revista de Educación, 12(1), 8–19. https://www.redalyc.org/articulo.oa?id=467751868001 Moreno, M., Riddle, K., Jenkins, M. C., Singh, A. P., Zhao, Q., & Eickhoff, J. (2022). Measuring Problematic Internet Use, Internet Gaming Disorder, and Social Media Addiction in Young Adults: Cross-sectional Survey Study. JMIR Public Health Surveill, 8(1), e27719. https://doi.org/10.2196/27719 Morris, C., Schofield, P., & Hirst, C. (2019). Exploration of the Factors Influencing Attitudes to Breastfeeding in Public. Journal of Human Lactation. https://doi.org/10.1177/0890334419878119 MSI (2020). Marketing Science Institute Research Priorities 2020-2022. https://www.msi.org/wp-content/uploads/2020/06/MSI_RP20-22.pdf MSI (2022). MSI Research Priorities 2022-2024. https://ua.thearf.org/wp-content/uploads/2022/10/MSI-2022-24-Research-Priorities-Final.pdf Muzellec, L., Feenstra, F., de Faultrier, B., & Boulay, J. (2016). Children’s experiences and parents’ perceptions of retailers’ mobile applications. International Journal of Retail and Distribution Management, 44(11), 1118–1131. https://doi.org/10.1108/IJRDM-11-2015-0169 Nahas, M., Hlais, S., Saberian, C., & Antoun, J. (2018). Problematic smartphone use among Lebanese adults aged 18–65 years using MPPUS-10. Computers in Human Behavior, 87, 348–353. https://doi.org/10.1016/j.chb.2018.06.009 Naumovska, L., Jovevski, D., & Brockova, K. (2020). Parental Awareness and Attitudes of Digital Media Advertising to Children. 7th International Conference on New Ideas in Management, Economics and Accounting. https://www.imeaconf.org/42-816/ Neeley, S., & Coffey, T. (2007). Understanding the “Four-Eyed, Four-Legged” Consumer: A Segmentation Analysis of U.S. Moms. Journal of Marketing Theory and Practice, 15(3), 251. https://www.jstor.org/stable/40470297 Nelson, M. R., Atkinson, L., Rademacher, M. A., & Ahn, R. (2017). How Media and Family Build Children’s Persuasion Knowledge. Journal of Current Issues and Research in Advertising, 38(2), 165–183. https://doi.org/10.1080/10641734.2017.1291383 Neslin, S. A., & Shankar, V. (2009). Key Issues in Multichannel Customer Management: Current Knowledge and Future Directions. Journal of Interactive Marketing, 23(1), 70–81. https://doi.org/https://doi.org/10.1016/j.intmar.2008.10.005 Newman, N., & Oates, C. J. (2014). Parental mediation of food marketing communications aimed at children. International Journal of Advertising, 33(3), 579–598. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907303450&partnerID=40&md5=81df0c208c2bf3f2ef97a8b0daf6764c Newzoo. (2017). The global market will reach $108.9 billion in 2017 with mobile taking 42%. https://newzoo.com/insights/articles/the-globalgames-%0Amarket-will-reach-108-9-billion-in-2017-with-mobiletaking-%0A42/ Normand, M. P. (2016). Less is more: Psychologists can learn more by studying fewer people. Frontiers in Psychology, 7(JUN). https://doi.org/10.3389/fpsyg.2016.00934 Nwabueze, C., Nweke, N., & Ejezie, L. (2014). Cross-Cultural Research Relevance in Public Relations: An Analytical Appraisal. https://doi.org/10.6084/m9.figshare.1126027 Odum, A. L., Baumann, A. A., & Rimington, D. D. (2006). Discounting of delayed hypothetical money and food: Effects of amount. Behavioural Processes, 73(3), 278–284. https://doi.org/10.1016/j.beproc.2006.06.008 Okazaki, S., & Mueller, B. (2007). Cross-cultural advertising research: where we have been and where we need to go. INTERNATIONAL MARKETING REVIEW, 24(5), 499–518. https://doi.org/10.1108/02651330710827960 Panova, T., & Carbonell, X. (2018). Is smartphone addiction really an addiction? Journal of Behavioral Addictions, 7(2), 252–259. https://doi.org/10.1556/2006.7.2018.49 Park, T., Shenoy, R., & Salvendy, G. (2008). Effective advertising on mobile phones: a literature review and presentation of results from 53 case studies. Behaviour & Information Technology, 27(5), 355–373. https://doi.org/10.1080/01449290600958882 Parreño, J. M., Sanz-Blas, S., Ruiz-Mafé, C., & Aldás-Manzano, J. (2013). Key factors of teenagers’ mobile advertising acceptance. Industrial Management and Data Systems, 113(5), 732–749. https://doi.org/10.1108/02635571311324179 Peng, Y., Zhou, H., Zhang, B., Mao, H., Hu, R., & Jiang, H. (2022). Perceived stress and mobile phone addiction among college students during the 2019 coronavirus disease: The mediating roles of rumination and the moderating role of self-control. Personality and Individual Differences, 185. https://doi.org/10.1016/j.paid.2021.111222 Peters, J., & Büchel, C. (2011). The neural mechanisms of inter-temporal decision-making: Understanding variability. Trends in Cognitive Sciences, 15(5), 227–239. https://doi.org/10.1016/j.tics.2011.03.002 Petry, N. M., Alessi, S. M., & Ledgerwood, D. M. (2012). Contingency management delivered by community therapists in outpatient settings. Drug and Alcohol Dependence, 122(1), 86–92. https://doi.org/https://doi.org/10.1016/j.drugalcdep.2011.09.015 Pires, C. M., Moura-Leite, R. C., Pereira, M. W. G., & Tang-Serquen, I. (2020). Corporate social responsibility from the consumer perspective: A cross-cultural study. Revista Brasileira de Marketing, 19(2), 334–360. https://doi.org/10.5585/REMARK.V19I2.17773 Plowman, L. (2015). Researching Young Children’s Everyday Uses of Technology in the Family Home. Interacting with Computers, 27(1), 36–46. https://doi.org/10.1093/iwc/iwu031 Rabin, C., & Bock, B. (2011). Desired features of smartphone applications promoting physical activity. Telemedicine Journal and E-Health : The Official Journal of the American Telemedicine Association, 17(10), 801–803. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858852464&partnerID=40&md5=c1dee4a514e7859ec861fafc9eaf5f03 Rachlin, H. (1997). Four teleological theories of addiction. Psychonomic Bulletin and Review, 4(4), 462–473. https://doi.org/10.3758/BF03214335 Radesky, J., Chassiakos, Y. R., Ameenuddin, N., Navsaria, D., & Council on Communication and Media. (2020). Digital advertising to children. Pediatrics, 146(1). https://doi.org/10.1542/peds.2020-1681 Rasmussen, E. B., Lawyer, S. R., & Reilly, W. (2010). Percent body fat is related to delay and probability discounting for food in humans. Behavioural Processes, 83(1), 23–30. https://doi.org/10.1016/j.beproc.2009.09.001 Razmus, W., Mazzoli, V., Acuti, D., & Grabner-Kräuter, S. (2020). Brand engagement in self-concept: a comparative study in Austria, Italy and Poland. Journal of Consumer Marketing, 37(7), 785–794. https://doi.org/10.1108/JCM-09-2019-3412 Reijmersdal, E. A. van, & Rozendaal, E. (2020). Transparency of digital native and embedded advertising: Opportunities and challenges for regulation and education. 45(3), 378–388. https://doi.org/doi:10.1515/commun-2019-0120 Reynolds, N. L., Simintiras, A. C., & Diamantopoulos, A. (2003). Theoretical justification of sampling choices in international marketing research: Key issues and quidelines for researchers. Journal of International Business Studies, 34(1), 80–89. https://doi.org/10.1057/palgrave.jibs.8400000 Risden, K., Czerwinski, M., Worley, S., Hamilton, L., Kubiniec, J., Hoffman, H., Mickel, N., & Loftus, E. (1998). Interactive Advertising: Patterns of Use and Effectiveness. https://www.microsoft.com/en-us/research/publication/interactive-advertising-patterns-of-use-and-effectiveness/ Robayo-Pinzon, O., Foxall, G. R., Montoya-Restrepo, L. A., & Rojas-Berrio, S. (2021). Does excessive use of smartphones and apps make us more impulsive? An approach from behavioural economics. Heliyon, 7(2), e06104. https://doi.org/10.1016/j.heliyon.2021.e06104 Robb, M. B., Bay, W., & Vennegaard, T. (2019). The new normal: Parents, teens, and mobile devices in Mexico. Common Sense. http://assets.uscannenberg.org/docs/new-normal/new-normal-full-report-mexico-english-2019.pdf Robertson, T. S., & Rossiter, J. R. (1974). Children and Commercial Persuasion: An Attribution Theory Analysis. Journal of Consumer Research, 1(1), 13–20. http://www.jstor.org/stable/2488950 Rodzon, K., Berry, M. S., & Odum, A. L. (2011). Within-subject comparison of degree of delay discounting using titrating and fixed sequence procedures. Behavioural Processes, 86(1), 164–167. https://doi.org/10.1016/j.beproc.2010.09.007 Rosa, F., Sillani, S., & Vasciaveo, M. (2017). Cross-Cultural Consumer Behavior: Use of Local Language for Market Communication—A Study in Region Friuli Venetia Giulia (Italy). Journal of Food Products Marketing, 23(6), 621–648. https://doi.org/10.1080/10454446.2015.1048029 Ross, D., Sharp, C., Vuchinich, R. E., & Spurrett, D. (2008). Midbrain Mutiny: The Picoeconomics and Neuroeconomics of Disordered Gambling: Economic Theory and Cognitive Science (Vol. 1). The MIT Press. https://econpapers.repec.org/RePEc:mtp:titles:0262517582 Roulston, K., & Martinez, B. (2016). Recruitment and Sampling in Consumer Research. In P. M. W. Hackett (Ed.), Qualitative Research Methods in Consumer Psychology: Ethnography and Culture (1st ed., p. 352). Routledge Taylor & Francis Group. Rozendaal, E., Buijzen, M., & Valkenburg, P. (2011). Children’s understanding of advertisers’ persuasive tactics. International Journal of Advertising, 30(2). https://doi.org/10.2501/IJA-30-2-329-350 Rozendaal, E., Lapierre, M. A., van Reijmersdal, E. A., & Buijzen, M. (2011). Reconsidering Advertising Literacy as a Defense Against Advertising Effects. Media Psychology, 14(4), 333–354. https://doi.org/10.1080/15213269.2011.620540 Rozgonjuk, D., Levine, J. C., Hall, B. J., & Elhai, J. D. (2018). The association between problematic smartphone use, depression and anxiety symptom severity, and objectively measured smartphone use over one week. Computers in Human Behavior, 87, 10–17. https://doi.org/10.1016/j.chb.2018.05.019 Rung, J. M., Argyle, T. M., Siri, J. L., & Madden, G. J. (2018). Choosing the right delay-discounting task: Completion times and rates of nonsystematic data. Behavioural Processes, 151, 119–125. https://doi.org/10.1016/j.beproc.2018.03.022 Sahin, C. (2017). The predictive level of social media addiction for life satisfaction: A study on university students. Turkish Online Journal of Educational Technology, 2017(December Special Issue INTE), 515–520. Samaha, M., & Hawi, N. S. (2016). Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Computers in Human Behavior, 57, 321–325. https://doi.org/10.1016/j.chb.2015.12.045 Sanz-Blas, S., Buzova, D., & Miquel-Romero, M. J. (2019). From Instagram overuse to instastress and emotional fatigue: the mediation of addiction. Spanish Journal of Marketing - ESIC, 23(2), 143–161. https://doi.org/10.1108/SJME-12-2018-0059 Sarun, K. T., Remesh Babu, K. R., Praveen, A. N., & Shelry, E. (2019). User Perspective Based APP Recommendation System. International Journal of Modern Electronics and Communication Engineering, 7(4), 63–70. Saunders, M., Lewis, P., & Thornhill, A. (2016). Research Methods for Business Students. Pearson Education Limited. https://books.google.com.co/books?id=HbEFvgEACAAJ Schierholz, R., Kolbe, L. M., & Brenner, W. (2007). Mobilizing customer relationship management: A journey from strategy to system design. Business Process Management Journal, 13(6), 830–852. https://doi.org/10.1108/14637150710834587 Shankar, V. (2016). Mobile Marketing: The Way Forward. Journal of Interactive Marketing, 34, 1–2. https://doi.org/10.1016/j.intmar.2016.03.005 Shankar, V., & Balasubramanian, S. (2009). Mobile Marketing: A Synthesis and Prognosis. Journal of Interactive Marketing, 23(2), 118–129. https://doi.org/10.1016/j.intmar.2009.02.002 Shankar, V., & Malthouse, E. C. (2006). Moving interactive marketing forward. Journal of Interactive Marketing, 20(1), 2–4. https://doi.org/10.1002/dir.20057 Shin, W. (2017). Active mediation of television, internet and mobile advertising. Young Consumers, 18(4), 378–392. https://doi.org/10.1108/YC-06-2017-00700 Simó-Sanz, C., Ballestar-Tarín, M. L., & Martínez-Sabater, A. (2018). Smartphone Addiction Inventory (SPAI): Translation, adaptation and validation of the tool in Spanish adult population. PLoS ONE, 13(10). https://doi.org/10.1371/journal.pone.0205389 Sin, L. Y., Cheung, G. W., & Lee, R. (1999). Methodology in Cross-Cultural Consumer Research: A Review and Critical Assessment. Journal of International Consumer Marketing, 11(4), 75–96. https://doi.org/10.1300/J046v11n04_05 Smith, P. B., & Bond, M. H. (1993). Social psychology across cultures. Harvester & Wheatsheaf. Smith, P. L., & Little, D. R. (2018). Small is beautiful: In defense of the small-N design. Psychonomic Bulletin & Review, 25(6), 2083–2101. https://doi.org/10.3758/s13423-018-1451-8 Soltero-González, L., & Gillanders, C. (2021). Rethinking Home-School Partnerships: Lessons Learned from Latinx Parents of Young Children During the COVID-19 Era. Early Childhood Education Journal, 49(5), 965–976. https://doi.org/10.1007/s10643-021-01210-4 Statista (2021a). Forecast of the number of smartphone users in the World from 2010 to 2025. https://www.statista.com/forecasts/1143723/smartphone-users-in-the-world Statista (2021b). Spending on advertising to children worldwide from 2012 to 2021. https://www.statista.com/statistics/750865/kids-advertising-spending-worldwide/ Statista (2022). Number of apps available in leading app stores as of 1st quarter 2022. https://www.statista.com/statistics/276623/number-of-apps-available-in-leading-app-stores/ Stephenson, J., & Limbrick, L. (2015). A Review of the Use of Touch-Screen Mobile Devices by People with Developmental Disabilities. Journal of Autism and Developmental Disorders, 45(12), 3777–3791. https://doi.org/10.1007/s10803-013-1878-8 Sultan, F., Rohm, A. J., & Gao, T. (2009). Factors Influencing Consumer Acceptance of Mobile Marketing: A Two-Country Study of Youth Markets. Journal of Interactive Marketing, 23(4), 308–320. https://doi.org/10.1016/j.intmar.2009.07.003 Sun, J., Liu, Q., & Yu, S. (2019). Child neglect, psychological abuse and smartphone addiction among Chinese adolescents: The roles of emotional intelligence and coping style. Computers in Human Behavior, 90, 74–83. https://doi.org/10.1016/j.chb.2018.08.032 Tähtinen, J. (2006). Mobile Advertising or Mobile Marketing. A Need for a New Concept. Tang, Z., Zhang, H., Yan, A., & Qu, C. (2017). Time is money: The decision making of smartphone high users in gain and loss intertemporal choice. Frontiers in Psychology, 8(MAR). https://doi.org/10.3389/fpsyg.2017.00363 Thaichon, P. (2017). Consumer socialization process: The role of age in children’s online shopping behavior. Journal of Retailing and Consumer Services, 34, 38–47. https://doi.org/10.1016/j.jretconser.2016.09.007 The CIU (2019). Mercado de Smartphones en México: Competencia y Diversidad de Alternativas para el Consumidor. https://www.theciu.com/publicaciones-2/2019/8/19/mercado-de-smartphones-en-mxico-competencia-y-diversidad-de-alternativas-para-el-consumidor Throuvala, M. A., Pontes, H. M., Tsaousis, I., Griffiths, M. D., Rennoldson, M., & Kuss, D. J. (2021). Exploring the Dimensions of Smartphone Distraction: Development, Validation, Measurement Invariance, and Latent Mean Differences of the Smartphone Distraction Scale (SDS). Frontiers in Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.642634 Tsang, M. M., Ho, S. C., & Liang, T. P. (2004). Consumer attitudes toward mobile advertising: An empirical study. International Journal of Electronic Commerce, 8(3), 65–78. https://www.scopus.com/inward/record.uri?eid=2-s2.0-2442516454&partnerID=40&md5=1042d0fd836ae8500806bb140cf4a77c Tutgun-ünal, A., & Deniz, L. (2015). Development of the Social Media Addiction Scale. AJIT-e: Bilişim Teknolojileri Online Dergisi, 6(21), 51–70. https://doi.org/10.5824/1309-1581.2015.4.004.x UNICEF & ITU. (2020). How many children and young people have internet access at home? Estimating digital connectivity during the COVID-19 pandemic. https://www.itu.int/en/ITU-D/Statistics/Documents/publications/UNICEF/How-many-children-and-young-people-have-internet-access-at-home-2020_v2final.pdf Van Dam, S., & Van Reijmersdal, E. A. (2019). Insights in adolescents’ advertising literacy, perceptions and responses regarding sponsored influencer videos and disclosures. Cyberpsychology, 13(2). https://doi.org/10.5817/CP2019-2-2 Vanwesenbeeck, I., Ponnet, K., & Walrave, M. (2017). Young adolescents’ advertising literacy and purchase intention in social network games: Influence of perspective taking and need for cognition. Journal of Consumer Behaviour, 16(1), 23–33. https://doi.org/10.1002/cb.1596 Vanwesenbeeck, I., Walrave, M., & Ponnet, K. (2016). Young Adolescents and Advertising on Social Network Games: A Structural Equation Model of Perceived Parental Media Mediation, Advertising Literacy, and Behavioral Intention. Journal of Advertising, 45(2), 183–197. https://doi.org/10.1080/00913367.2015.1123125 Wacks, Y., & Weinstein, A. M. (2021). Excessive Smartphone Use Is Associated With Health Problems in Adolescents and Young Adults. Frontiers in Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.669042 Waiguny, M. K. J., Nelson, M. R., & Terlutter, R. (2014). The Relationship of Persuasion Knowledge, Identification of Commercial Intent and Persuasion Outcomes in Advergames-the Role of Media Context and Presence. Journal of Consumer Policy, 37(2), 257–277. https://doi.org/10.1007/s10603-013-9227-z Walrave, M., & Heirman, W. (2013). Adolescents, Online Marketing and Privacy: Predicting Adolescents’ Willingness to Disclose Personal Information for Marketing Purposes. Children and Society, 27(6), 434–447. https://doi.org/10.1111/j.1099-0860.2011.00423.x Walsh, S. P., & White, K. M. (2007). Me, my mobile, and I: The role of self- and prototypical identity influences in the prediction of mobile phone behavior. Journal of Applied Social Psychology, 37(10), 2405–2434. https://doi.org/10.1111/j.1559-1816.2007.00264.x Walsh, S. P., White, K. M., & Young, R. M. (2010). Needing to connect: The effect of self and others on young people’s involvement with their mobile phones. Australian Journal of Psychology, 62(4), 194–203. https://doi.org/10.1080/00049530903567229 Wang, J., Wang, H., Lin, H., Richards, M., Yang, S., Liang, H., Chen, X., & Fu, C. (2021). Study problems and depressive symptoms in adolescents during the COVID-19 outbreak: poor parent-child relationship as a vulnerability. Globalization and Health, 17(1), 1–9. https://doi.org/10.1186/s12992-021-00693-5 Weinstein, A., & Siste, K. (2022). Editorial: Excessive and problematic smartphone usage. Frontiers in Psychiatry, 13. https://doi.org/10.3389/fpsyt.2022.972613 Weller, R. E., Cook III, E. W., Avsar, K. B., & Cox, J. E. (2008). Obese women show greater delay discounting than healthy-weight women. Appetite, 51(3), 563–569. https://doi.org/10.1016/j.appet.2008.04.010 Werling, A. M., Walitza, S., Grünblatt, E., & Drechsler, R. (2021). Media use before, during and after COVID-19 lockdown according to parents in a clinically referred sample in child and adolescent psychiatry: Results of an online survey in Switzerland. Comprehensive Psychiatry, 109(152260-). https://doi.org/10.1016/j.comppsych.2021.152260 Werner, A., Spiller, A., & Meyerding, S. G. (2020). The yoga of sustainable diets: Exploring consumers mind and spirit. Journal of Cleaner Production, 243. https://doi.org/10.1016/j.jclepro.2019.118473 West, R., Ash, C., Dapore, A., Kirby, B., Malley, K., & Zhu, S. (2021). Problematic smartphone use: The role of reward processing, depressive symptoms and self-control. Addictive Behaviors, 122. https://doi.org/10.1016/j.addbeh.2021.107015 Whelan, R., & McHugh, L. A. (2010). Temporal discounting of hypothetical monetary rewards by adolescents, adults, and older adults. The Psychological Record, 59, 6. Wilcockson, T. D., Ellis, D. A., & Shaw, H. (2018). Determining typical smartphone usage: What data do we need? Cyberpsychology, Behavior, and Social Networking, 21(6), 395–398. https://doi.org/10.1089/cyber.2017.0652 Wilmer, H. H., Sherman, L. E., & Chein, J. M. (2017). Smartphones and cognition: A review of research exploring the links between mobile technology habits and cognitive functioning. Frontiers in Psychology, 8(APR). https://doi.org/10.3389/fpsyg.2017.00605 Wisenblit, J. Z., Priluck, R., & Pirog, S. F. (2013). The influence of parental styles on children’s consumption. Journal of Consumer Marketing, 30(4), 320–327. https://doi.org/10.1108/JCM-02-2013-0465 Yang, Z., Kim, C., Laroche, M., & Lee, H. (2014). Parental style and consumer socialization among adolescents: A cross-cultural investigation. Journal of Business Research, 67(3), 228–236. https://doi.org/10.1016/j.jbusres.2013.05.008 Yildirim, C., & Correia, A. P. (2015). Exploring the dimensions of nomophobia: Development and validation of a self-reported questionnaire. Computers in Human Behavior, 49, 130–137. https://doi.org/10.1016/j.chb.2015.02.059 Yu, S., & Sussman, S. (2020). Does smartphone addiction fall on a continuum of addictive behaviors? International Journal of Environmental Research and Public Health, 17(2). https://doi.org/10.3390/ijerph17020422 Yuan, S. T., & Tsao, Y. W. (2003). A recommendation mechanism for contextualized mobile advertising. Expert Systems with Applications, 24(4), 399–414. https://doi.org/https://doi.org/10.1016/S0957-4174(02)00189-6 Zahrai, K., Veer, E., Ballantine, P. W., & Peter de Vries, H. (2022). Conceptualizing Self-control on Problematic Social Media Use. Australasian Marketing Journal, 30(1), 74–89. https://doi.org/10.1177/1839334921998866 Zhao, J., Jia, T., Wang, X., Xiao, Y., & Wu, X. (2022). Risk Factors Associated With Social Media Addiction: An Exploratory Study. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.837766 Zoller, E. (2003). Wireless Marketing Opportunities. London, UK, Ovum Research.
dc.rights.coar.fl_str_mv	http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv	Atribución-CompartirIgual 4.0 Internacional
dc.rights.uri.spa.fl_str_mv	http://creativecommons.org/licenses/by-sa/4.0/
dc.rights.accessrights.spa.fl_str_mv	info:eu-repo/semantics/openAccess
rights_invalid_str_mv	Atribución-CompartirIgual 4.0 Internacional http://creativecommons.org/licenses/by-sa/4.0/ http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv	openAccess
dc.format.extent.spa.fl_str_mv	xiii, 125 páginas
dc.format.mimetype.spa.fl_str_mv	application/pdf
dc.publisher.spa.fl_str_mv	Universidad Nacional de Colombia
dc.publisher.program.spa.fl_str_mv	Bogotá - Ingeniería - Doctorado en Ingeniería - Industria y Organizaciones
dc.publisher.faculty.spa.fl_str_mv	Facultad de Ingeniería
dc.publisher.place.spa.fl_str_mv	Bogotá, Colombia
dc.publisher.branch.spa.fl_str_mv	Universidad Nacional de Colombia - Sede Bogotá
institution	Universidad Nacional de Colombia
bitstream.url.fl_str_mv	https://repositorio.unal.edu.co/bitstream/unal/84120/1/license.txt https://repositorio.unal.edu.co/bitstream/unal/84120/2/79843140.2023.pdf https://repositorio.unal.edu.co/bitstream/unal/84120/3/79843140.2023.pdf.jpg
bitstream.checksum.fl_str_mv	eb34b1cf90b7e1103fc9dfd26be24b4a 33c59175ed448dc61457741bf08a1d80 783c5f9514552fccada8cbefbb94acd0
bitstream.checksumAlgorithm.fl_str_mv	MD5 MD5 MD5
repository.name.fl_str_mv	Repositorio Institucional Universidad Nacional de Colombia
repository.mail.fl_str_mv	repositorio_nal@unal.edu.co
_version_	1814089951123341312
spelling	Atribución-CompartirIgual 4.0 Internacionalhttp://creativecommons.org/licenses/by-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Rojas Berrio, Sandra Patricia7ef638b152815e676185fe950fc25485Montoya Restrepo, Luz Alexandraed58c2c5e55d210b2bc95b36343fdc79Robayo Pinzón, Oscar Javier89843f62c66daa16aec11d29b7615818Management and Marketing (M&M)Robayo-Pinzon, Oscar [0000-0002-1475-2460]2023-06-30T20:16:41Z2023-06-30T20:16:41Z2023-06-29https://repositorio.unal.edu.co/handle/unal/84120Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustracionesThe increased adoption and use of mobile devices by children, adolescents and young adults has led to research interest in the effects that social media apps and new digital advertising formats may have on these populations. The aim of this research was, first, to establish whether there is a relationship between the level of smartphone and app usage and a pattern of impulsive choice. Secondly, to identify the relative reinforcement value of a monetary reward versus different periods of social media use, and thirdly, to establish the level of advertising literacy on mobile devices. To develop this work, different methodologies were implemented, including the application of online questionnaires, intertemporal choice tasks and records of time spent using mobile apps from a panel of users. The results show, first, that app usage time does not predict choices in the intertemporal task, while perceived level of smartphone dependence was significantly related to average impulsive choices. Second, that levels of mobile digital literacy are low, as is parents' awareness of their role in the socialisation process of their children in the face of these new forms of advertising. And third, that the relative value of a monetary reinforcement is effective in modifying participants' preference for using social media apps. These results allow us to formulate conclusions and recommendations for organisational management at the level of social responsibility, self-regulation, human talent wellbeing and user relationship management policies.El incremento en la adopción y uso de los dispositivos móviles por parte de los niños, adolescentes y adultos jóvenes ha conllevado a un interés en la investigación sobre los efectos que pueden tener en estas poblaciones las apps de redes sociales y los nuevos formatos de publicidad digital. El objetivo de esta investigación consistió, en primer lugar, en establecer si existe una relación entre el nivel de uso del smartphone y las apps y un patrón de elección impulsivo. Segundo, identificar el valor relativo de refuerzo de una recompensa monetaria frente a diferentes períodos de uso de las redes sociales, y tercero, establecer el nivel de alfabetización publicitaria en dispositivos móviles. Para desarrollar este trabajo se aplicaron diferentes metodologías que incluyeron la aplicación de cuestionarios online, pruebas de elección intertemporal y registros de tiempo de uso de las apps móviles a partir de un panel de usuarios. Los resultados muestran, en primer lugar, que el tiempo de uso de las apps no permite predecir las elecciones en la tarea intertemporal, en tanto que el nivel de dependencia al smartphone percibido tuvo una relación significativa con el promedio de elecciones impulsivas. Segundo, que los niveles de alfabetización digital móvil son bajos, así como el nivel de consciencia que tienen los padres sobre su rol en el proceso de socialización de sus hijos frente a estas nuevas formas de publicidad. Y tercero, que el valor relativo de un refuerzo monetario resulta efectivo para modificar la preferencia de los participantes por el uso de las redes sociales. Estos resultados permiten formular conclusiones y recomendaciones para la gestión organizacional a nivel de responsabilidad social, autorregulación, bienestar del talento humano y políticas de gestión de las relaciones con los usuarios. (Texto tomado de la fuente)DoctoradoDoctor en IngenieríaPropuestas de valor y consumidorxiii, 125 páginasapplication/pdfengUniversidad Nacional de ColombiaBogotá - Ingeniería - Doctorado en Ingeniería - Industria y OrganizacionesFacultad de IngenieríaBogotá, ColombiaUniversidad Nacional de Colombia - Sede Bogotá300 - Ciencias sociales::305 - Grupos socialesCOMPORTAMIENTO DEL CONSUMIDORREDES SOCIALESPUBLICIDAD POR INTERNETConsumer behaviorSocial NetworksInternet advertisingTemporal discountingBehavioral economicsAdvertising literacySocial mediaMobile advertisingCross-culturalDescuento temporalEconomía conductualAlfabetización publicitariaRedes socialesPublicidad móvilInterculturalidadDigital Consumer Behavior: dependence, relative reinforcing value and literacy in the context of social media apps and mobile advertisingComportamiento del consumidor digital: dependencia, valor del refuerzo relativo y alfabetización en el contexto de las aplicaciones de redes sociales y la publicidad móvilTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06Texthttp://purl.org/redcol/resource_type/TDAbbasi, I. S. (2019). Social media addiction in romantic relationships: Does user’s age influence vulnerability to social media infidelity? Personality and Individual Differences, 139, 277–280. https://doi.org/https://doi.org/10.1016/j.paid.2018.10.038Abi-Jaoude, E., Naylor, K. T., & Pignatiello, A. (2020). Smartphones, social media use and youth mental health. CMAJ, 192(6), E136–E141. https://doi.org/10.1503/cmaj.190434Achterberg, M., Dobbelaar, S., Boer, O. D., & Crone, E. A. (2021). Perceived stress as mediator for longitudinal effects of the COVID-19 lockdown on wellbeing of parents and children. Scientific Reports, 11(1), 1–14. https://doi.org/10.1038/s41598-021-81720-8Acuff, S. F., MacKillop, J., & Murphy, J. G. (2018). Applying behavioral economic theory to problematic Internet use: An initial investigation. Psychology of Addictive Behaviors, 32(7), 846–857. https://doi.org/10.1037/adb0000404Agnew, R. S. (2001). Building on the foundation of general strain theory: Specifying the types of strain most likely to lead to crime and delinquency. Journal of Research In Crime and Delinquency, 36, 123–155.Akers, R. L. (1991). Addiction: The Troublesome Concept. Journal of Drug Issues, 21(4), 777–793. https://doi.org/10.1177/002204269102100407Alessi, S. M., & Petry, N. M. (2003). Pathological gambling severity is associated with impulsivity in a delay discounting procedure. Behavioural Processes, 64(3), 345–354. https://doi.org/10.1016/S0376-6357(03)00150-5Almenara, J. C., Pérez, S. M., Ortiz, R. V, Nuñez, J. P. L., Hernandez, M. L. O., & López, I. H. (2020). Students addiction to online social networks: A study in the latin american context . Revista Complutense de Educacion, 31(1), 1–12. https://doi.org/10.5209/rced.61722Anderson, J., & Bower, G. (1973). Human Associative Memory. Winston and Sons.App Annie Intelligence. (2017). Top Predictions for the App Economy in 2018. https://www.appannie.com/en/insights/market-data/predictions-app-economy-2018/App Annie Intelligence. (2018). 2017 Retrospective: A Monumental Year for the App Economy. https://www.appannie.com/en/insights/market-data/app-annie-2017-retrospective/#downloadApp Annie Intelligence. (2020). State of Mobile 2020. https://www.appannie.com/en/go/state-of-mobile-2020/Arfer, K B, & Luhmann, C. C. (2015). The predictive accuracy of intertemporal-choice models. British Journal of Mathematical and Statistical Psychology, 68(2), 326–341. https://doi.org/10.1111/bmsp.12049Arfer, Kodi B., & Luhmann, C. C. (2015). The predictive accuracy of intertemporal-choice models. British Journal of Mathematical and Statistical Psychology, 68(2), 326–341. https://doi.org/10.1111/bmsp.12049Arora, A., & Chakraborty, P. (2020). Diagnosis, prevalence and effects of nomophobia – A review. Psychiatry Research, 288. https://doi.org/10.1016/j.psychres.2020.112975Aschbrenner, K. A., Naslund, J. A., Tomlinson, E. F., Kinney, A., Pratt, S. I., & Brunette, M. F. (2019). Adolescents’ use of digital technologies and preferences for mobile health coaching in public mental health settings. Frontiers in Public Health, 7(JUL), 1–9. https://doi.org/10.3389/fpubh.2019.00178Aslam, W., Arif, I., & Farhat, K. (2018). Smartphone dependence among students: Gender-based analysis. International Journal of Electronic Marketing and Retailing, 9(3), 269–287. https://doi.org/10.1504/IJEMR.2018.092696Ba, H., Tally, W., & Tsikalas, K. (2002). Investigating children’s emerging digital literacies. Journal of Technology, Learning, and Assessment, 1(4), 1–49. https://www.scopus.com/inward/record.uri?eid=2-s2.0-3042582770&partnerID=40&md5=78dee15bf231eff926601c39b9014841Baccarella, C. V, Wagner, T. F., Kietzmann, J. H., & McCarthy, I. P. (2018). Social media? It’s serious! Understanding the dark side of social media. European Management Journal, 36(4), 431–438. https://doi.org/https://doi.org/10.1016/j.emj.2018.07.002Bae, S. M. (2019). The relationship between smartphone use for communication, social capital, and subjective well-being in Korean adolescents: Verification using multiple latent growth modeling. Children and Youth Services Review, 96, 93–99. https://doi.org/10.1016/j.childyouth.2018.11.032Bakó, R., & Tőkés, G. E. (2018). Parental mediation and Romanian young children’s digital practices. Revista Română de Sociologie, 29(1–2), 23–36.Balasubramanian, S., Peterson, R. A., & Jarvenpaa, S. L. (2002). Exploring the implications of M-commerce for markets and marketing. Journal of the Academy of Marketing Science, 30(4), 348–361. https://doi.org/10.1177/009207002236910Barnes, S. J, Pressey, A. D., & Scornavacca, E. (2019). Mobile ubiquity: Understanding the relationship between cognitive absorption, smartphone addiction and social network services. Computers in Human Behavior, 90, 246–258. https://doi.org/10.1016/j.chb.2018.09.013Bassett, D. T., Irons, J. G., Schultz, N. R., & Correia, C. J. (2020). Initial validation of the Multiple-Choice procedure for measuring video game playing. Addiction Research and Theory, 28(4), 314–320. https://doi.org/10.1080/16066359.2019.1650350Baumrind, D. (1968). Authoritarian versus authoritative parental control. Adolescence, Fall, 255–272.Bell, S., Clarke, R., Paterson, P., & Mounier-Jack, S. (2020). Parents’ and guardians’ views and experiences of accessing routine childhood vaccinations during the coronavirus (COVID-19) pandemic: A mixed methods study in England. PLoS ONE, 15(12), 1–18. https://doi.org/10.1371/journal.pone.0244049Benson, T. A., Little, C. S., Henslee, A. M., & Correia, C. J. (2009). Effects of reinforcer magnitude and alternative reinforcer delay on preference for alcohol during a multiple-choice procedure. Drug and Alcohol Dependence, 100(1), 161–163. https://doi.org/https://doi.org/10.1016/j.drugalcdep.2008.09.005Bickel, W. K., Pitcock, J. A., Yi, R., & Angtuaco, E. J. C. (2009). Congruence of BOLD response across intertemporal choice conditions: Fictive and real money gains and losses. Journal of Neuroscience, 29(27), 8839–8846. https://doi.org/10.1523/JNEUROSCI.5319-08.2009Bickel, W. K., & Marsch, L. A. (2001). Toward a behavioral economic understanding of drug dependence: Delay discounting processes. Addiction, 96(1), 73–86. https://doi.org/10.1046/j.1360-0443.2001.961736.xBickel, W. K, Johnson, M. W., Koffarnus, M. N., MacKillop, J., & Murphy, J. G. (2014). The Behavioral Economics of Substance Use Disorders: Reinforcement Pathologies and Their Repair. Annual Review of Clinical Psychology, 10(1), 641–677. https://doi.org/10.1146/annurev-clinpsy-032813-153724Billieux, J. (2012). Problematic use of the mobile phone: A literature review and a pathways model. Current Psychiatry Reviews, 8(4), 299–307. https://doi.org/10.2174/157340012803520522Bishop, M. (2019). Consumer Informatics and Digital Health: Solutions for Health and Health Care. In N. Edmunds, C. Hass, & E. Holve (Eds.), Consumer Informatics and Digital Health: Solutions for Health and Health Care (pp. 61–86.). Springer.Błachnio, A., Przepiorka, A., & Pantic, I. (2016). Association between Facebook addiction, self-esteem and life satisfaction: A cross-sectional study. Computers in Human Behavior, 55, 701–705. https://doi.org/https://doi.org/10.1016/j.chb.2015.10.026Blum-Ross, A., & Livingstone, S. (2016). Families and screen time: Current advice and emerging research. Media Policy Brief 17. London School of Economics and Political Science. http://eprints.lse.ac.uk/66927/1/Policy Brief 17- Families Screen Time.pdfBoelsen-Robinson, T., Backholer, K., & Peeters, A. (2016). Digital marketing of unhealthy foods to Australian children and adolescents. Health Promotion International, 31(3), 523–533. https://doi.org/10.1093/heapro/dav008Boerman, S. C., & van Reijmersdal, E. A. (2020). Disclosing Influencer Marketing on YouTube to Children: The Moderating Role of Para-Social Relationship. Frontiers in Psychology, 10. https://doi.org/10.3389/fpsyg.2019.03042Boush, D. M., Friestad, M., & Rose, G. M. (1994). Adolescent Skepticism toward TV Advertising and Knowledge of Advertiser Tactics. Journal of Consumer Research, 21(1), 165–175. http://www.jstor.org/stable/2489748Bruner, G. C., & Kumar, A. (2007). Attitude toward Location-based Advertising. Journal of Interactive Advertising, 7(2), 3–15. https://doi.org/10.1080/15252019.2007.10722127Buono, F. D., Sprong, M. E., Lloyd, D. P., Cutter, C. J., Printz, D. M. B., Sullivan, R. M., & Moore, B. A. (2017). Delay Discounting of Video Game Players: Comparison of Time Duration among Gamers. Cyberpsychology, Behavior, and Social Networking, 20(2), 104–108. https://doi.org/10.1089/cyber.2016.0451Busch, P. A., & McCarthy, S. (2021). Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area. Computers in Human Behavior, 114. https://doi.org/10.1016/j.chb.2020.106414Butler, L. H., Irons, J. G., Bassett, D. T., & Correia, C. J. (2018). Using the Multiple-Choice Procedure to Measure the Relative Reinforcing Efficacy of Gambling: Initial Validity Evidence Among College Students. Journal of Gambling Studies, 34(2), 513–520. https://doi.org/10.1007/s10899-017-9716-0Calvert, S. L. (2008). Children as consumers: Advertising and marketing. Future of Children, 18(1), 205–234. https://doi.org/10.1353/foc.0.0001Calzada Pérez, M. (2018). Visual Rhetorical Figures in Cross-Cultural Consumer Behavior: The Impact of Moderating Factors in a Spanish Language Context. Journal of Current Issues and Research in Advertising, 39(1), 1–21. https://doi.org/10.1080/10641734.2017.1372320CEPAL. (2018). La inversión extranjera directa en América Latina y El Caribe 2018. https://www.cepal.org/es/publicaciones/43689-la-inversion-extranjera-directaamerica-latina-caribe-2018Chaffey, D. (2022). Global social media statistics research summary. Smart Insights.Chen, B., Liu, F., Ding, S., Ying, X., Wang, L., & Wen, Y. (2017). Gender differences in factors associated with smartphone addiction: A cross-sectional study among medical college students. BMC Psychiatry, 17(1). https://doi.org/10.1186/s12888-017-1503-zChen, C. Y. (2018). Smartphone addiction: psychological and social factors predict the use and abuse of a social mobile application. In Information Communication and Society. https://doi.org/10.1080/1369118X.2018.1518469Chen, Y., Zhu, S., Xu, H., & Zhou, Y. (2013). Children’s exposure to mobile in-app advertising: An analysis of content appropriateness. Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013, 196–203. https://doi.org/10.1109/SocialCom.2013.36Cherif, E., & Lemoine, J. F. (2015). The effect of consistency between verbal and non verbal language of recommendation agent on consumer’s behaviors . 20th Symposium of the Association Information and Management 2015, AIM 2015. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84996602448&partnerID=40&md5=d7e1c8193eb66f20fc911cfb012b631cCho, Y. G. (2020). Excessive and problematic smartphone use and poor mental health in adolescents. Korean Journal of Family Medicine, 41(2), 73–74. https://doi.org/10.4082/KJFM.41.2EClarke, B., & Svanaes, S. (2014). Literature Review of Research on Online Food and Beverage Marketing to Children. https://www.asa.org.uk/asset/cd73763f-8619-4939-be6421d122566ea7/Clarke III, I. (2008). Emerging Value Propositions For M-Commerce. Journal of Business Strategies, 25(2 SE-Research Articles), 41–57. https://doi.org/10.54155/jbs.25.2.41-57ComScore Inc. (2018). Global Digital Future in Focus 2018. https://www.comscore.com/Insights/Presentations-and-Whitepapers/2018/Global-Digital-Future-in-Focus-2018Confos, N., & Davis, T. (2016). Young consumer-brand relationship building potential using digital marketing. European Journal of Marketing, 50(11), 1993–2017. https://doi.org/10.1108/EJM-07-2015-0430Cornish, L. (2014). ‘Mum, can I play on the internet?’ International Journal of Advertising, 33(3), 437–473. https://doi.org/10.2501/IJA-33-3-437-473Correia, C. J., & Little, C. (2006). Use of a multiple-choice procedure with college student drinkers. Psychology of Addictive Behaviors, 20(4), 445–452. https://doi.org/10.1037/0893-164X.20.4.445Creswell, J. (2013). Qualitative, quantitative, and mixed methods approaches. Research Design, 1–26. https://doi.org/10.2307/3152153Critchfield, T. S., & Kollins, S. H. (2001). Temporal discounting: Basic research and theanalysis of socially important behavior. Journal of Applied Behavior Analysis, 34(1), 101–122. https://doi.org/10.1901/jaba.2001.34-101Dalvi-Esfahani, M., Niknafs, A., Alaedini, Z., Barati Ahmadabadi, H., Kuss, D. J., & Ramayah, T. (2021). Social Media Addiction and Empathy: Moderating impact of personality traits among high school students. Telematics and Informatics, 57(October 2020), 101516. https://doi.org/10.1016/j.tele.2020.101516DANE. (2018). Encuesta nacional de calidad de vida (ECV) 2018. https://www.dane.gov.co/files/investigaciones/condiciones_vida/calidad_vida/Presentacion_ECV_2018.pdfData.ai. (2022). State of Mobile 2022. https://www.data.ai/en/go/state-of-mobile-2022/Daugherty, J. R., & Brase, G. L. (2010). Taking time to be healthy: Predicting health behaviors with delay discounting and time perspective. Personality and Individual Differences, 48(2), 202–207. https://doi.org/10.1016/j.paid.2009.10.007Davis, C., Patte, K., Curtis, C., & Reid, C. (2010). Immediate pleasures and future consequences. A neuropsychological study of binge eating and obesity. Appetite, 54(1), 208–213. https://doi.org/10.1016/j.appet.2009.11.002De Jans, S, Van de Sompel, D., Hudders, L., & Cauberghe, V. (2019). Advertising targeting young children: an overview of 10 years of research (2006–2016). International Journal of Advertising, 38(2), 173–206. https://doi.org/10.1080/02650487.2017.1411056De Jans, Steffi, & Hudders, L. (2020). Disclosure of Vlog Advertising Targeted to Children. Journal of Interactive Marketing, 52(1), 1–19. https://doi.org/10.1016/j.intmar.2020.03.003De Pauw, P., Cauberghe, V., & Hudders, L. (2019). Taking Children’s Advertising Literacy to a Higher Level: A Multilevel Analysis Exploring the Influence of Parents, Peers, and Teachers. Communication Research, 46(8), 1197–1221. https://doi.org/10.1177/0093650218797876Deloitte. (2019). Consumo móvil en Colombia. https://www2.deloitte.com/content/dam/Deloitte/co/Documents/consumer-business/Reporte consumo movil 2019.pdfDerks, D., & Bakker, A. B. (2014). Smartphone Use, Work-Home Interference, and Burnout: A Diary Study on the Role of Recovery. Applied Psychology, 63(3), 411–440. https://doi.org/10.1111/j.1464-0597.2012.00530.xDixon, M. R., Jacobs, E. A., & Sanders, S. (2006). Contextual control of delay discounting by pathological gamblers. Journal of Applied Behavior Analysis, 39(4), 413–422. https://doi.org/10.1901/jaba.2006.173-05Donati, M. A., Guido, C. A., De Meo, G., Spalice, A., Sanson, F., Beccari, C., & Primi, C. (2021). Gaming among Children and Adolescents during the COVID-19 Lockdown: The Role of Parents in Time Spent on Video Games and Gaming Disorder Symptoms. In International journal of environmental research and public health (Vol. 18, Issue 12). https://doi.org/10.3390/ijerph18126642Esmaeili Rad, M., & Ahmadi, F. (2018). A new method to measure and decrease the online social networking addiction. In Asia-Pacific Psychiatry. https://doi.org/10.1111/appy.12330Evans, N. J., Carlson, L., & Hoy, M. G. (2013). Coddling our kids: Can parenting style affect attitudes toward advergames? Journal of Advertising, 42(2–3), 228–240. https://doi.org/10.1080/00913367.2013.774602Eyler, A. A., Schmidt, L., Beck, A., Gilbert, A., Kepper, M., & Mazzucca, S. (2021). Children’s Physical Activity and Screen Time during COVID-19 Pandemic: A Qualitative Exploration of Parent Perceptions. Health Behavior & Policy Review, 8(3), 236–246. https://doi.org/10.14485/HBPR.8.3.5Family.TV, & Yeep! Kid´s Media. (2017). Consumo de medios de niños, adolescentes y padres en América Latina 2017. https://colombiadigital.net/actualidad/noticias/item/9673-cuanto-tiempo-pasan-los-ninos-latinoamericanos-conectados-a-internet.html/Feijoo-Fernández, B., Sádaba-Chalezquer, C., & Bugueño-Ipinza, S. (2020). Anuncios entre vídeos, juegos y fotos. Impacto publicitario que recibe el menor a través del teléfono móvil. Profesional de La Información, 29(6 SE-Artículos de investigación / Research articles). https://doi.org/10.3145/epi.2020.nov.30Feijoo, B., & Sádaba, C. (2020). Is my kid that naive? Parents’ perceptions of their children’s attitudes towards advertising on smartphones in Chile. Journal of Children and Media. https://doi.org/10.1080/17482798.2020.1866626Feijoo, B., & Sádaba, C. (2022). When Ads Become Invisible: Minors’ Advertising Literacy While Using Mobile Phones. Media and Communication, 10(1), 339–349. https://doi.org/10.17645/mac.v10i1.4720Folkvord, F., Lupiáñez-Villanueva, F., Codagnone, C., Bogliacino, F., Veltri, G., & Gaskell, G. (2017). Does a ‘protective’ message reduce the impact of an advergame promoting unhealthy foods to children? An experimental study in Spain and The Netherlands. Appetite, 112, 117–123. https://doi.org/10.1016/j.appet.2017.01.026Foxall, G R. (2016). Addiction as consumer choice: exploring the cognitive dimension (First Edit). Routledge Taylor & Francis Group.Foxall, G R. (2018). Advanced Introduction to Consumer Behavior Analysis. Edward Elgar Publishing Ltd.Foxall, G R, & Sigurdsson, V. (2012). When loss rewards: The near-miss effect in slot machine gambling. Analysis of Gambling Behavior, 6, 5–22.Foxall, G. R. (2016). Addiction as consumer choice: exploring the cognitive dimension (First Edit). Routledge Taylor & Francis Group.Foxall, G. R. (2018). Advanced Introduction to Consumer Behavior Analysis. Edward Elgar Publishing Ltd.Foxall, G. R, & Sigurdsson, V. (2012). When loss rewards: The near-miss effect in slot machine gambling. Analysis of Gambling Behavior, 6, 5–22.Foxall, G. R. (1998). Radical behaviorist interpretation: Generating and evaluating an account of consumer behavior. The Behavior Analyst, 21(2), 321–354. https://doi.org/10.1007/BF03391971Foxall, G. R. (2010). Invitation to Consumer Behavior Analysis. Journal of Organizational Behavior Management, 30(2), 92–109. https://doi.org/10.1080/01608061003756307Franck, G. (2019). The economy of attention. Journal of Sociology, 55(1), 8–19. https://doi.org/10.1177/1440783318811778Franks, J., Chenhall, R., & Keogh, L. (2018). The Facebook Sabbatical as a Cycle: Describing the Gendered Experience of Young Adults as They Navigate Disconnection and Reconnection. Social Media + Society, 4(3), 1–14. https://doi.org/10.1177/2056305118801995Fransson, A., Chóliz, M., & Håkansson, A. (2018). Addiction-like mobile phone behavior - validation and association with problem gambling. Frontiers in Psychology, 9(MAY). https://doi.org/10.3389/fpsyg.2018.00655Friestad, M., & Wright, P. (1994). The Persuasion Knowledge Model: How People Cope with Persuasion Attempts. Journal of Consumer Research, 21(1), 1–31. http://www.jstor.org/stable/2489738Fritz, W., Sohn, S., & Seegebarth, B. (2017). Broadening the Perspective on Mobile Marketing: An Introduction. Psychology and Marketing, 34(2), 113–118. https://doi.org/10.1002/mar.20978Galina, T., Urkmez, T., & Ralf, W. (2018). Cross-cultural variations in consumer behavior: A literature review of international studies. South East European Journal of Economics and Business, 13(2), 49–71. https://doi.org/10.2478/jeb-2018-0012Gao, T., Li, J., Zhang, H., Gao, J., Kong, Y., Hu, Y., & Mei, S. (2018). The influence of alexithymia on mobile phone addiction: The role of depression, anxiety and stress. Journal of Affective Disorders, 225, 761–766. https://doi.org/10.1016/j.jad.2017.08.020Ghai, S., Magis-Weinberg, L., Stoilova, M., Livingstone, S., & Orben, A. (2022). Social media and adolescent well-being in the Global South. Current Opinion in Psychology, 46, 101318. https://doi.org/https://doi.org/10.1016/j.copsyc.2022.101318Gilroy, S. P., & Kaplan, B. A. (2020). Modeling Treatment-Related Decision-Making Using Applied Behavioral Economics: Caregiver Perspectives in Temporally-Extended Behavioral Treatments. Journal of Abnormal Child Psychology, 48(5), 607–618. https://doi.org/10.1007/s10802-020-00619-6Gilroy, S. P., & Picardo, R. (2022). Applications of operant demand to treatment selection III: Consumer behavior analysis of treatment choice. Journal of the Experimental Analysis of Behavior. https://doi.org/10.1002/jeab.758Gökçearslan, Ş., Mumcu, F. K., Haşlaman, T., & Çevik, Y. D. (2016). Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students. Computers in Human Behavior, 63, 639–649. https://doi.org/10.1016/j.chb.2016.05.091Granato, D., de Araújo Calado, V. M., & Jarvis, B. (2014). Observations on the use of statistical methods in Food Science and Technology. Food Research International, 55, 137–149. https://doi.org/10.1016/j.foodres.2013.10.024Gray, O. (2005). Responsible advertising in Europe. Young Consumers, 6(4), 19–23. https://doi.org/10.1108/17473610510701269Greenwald, M. K., & Stitzer, M. L. (2000). Antinociceptive, subjective and behavioral effects of smoked marijuana in humans. Drug and Alcohol Dependence, 59(3), 261–275. https://doi.org/https://doi.org/10.1016/S0376-8716(99)00128-3Grice, J., Barrett, P., Cota, L., Felix, C., Taylor, Z., Garner, S., Medellin, E., & Vest, A. (2017). Four bad habits of modern psychologists. Behavioral Sciences, 7(3). https://doi.org/10.3390/bs7030053Griffiths, R. R., Troisi, J. R., Silverman, K., & Mumford, G. K. (1993). Multiple-choice procedure: an efficient approach for investigating drug reinforcement in humans. Behavioural Pharmacology, 4(1), 3–13.Grimaldi-Puyana, M., Fernández-Batanero, J. M., Fennell, C., & Sañudo, B. (2020). Associations of objectively-assessed smartphone use with physical activity, sedentary behavior, mood, and sleep quality in young adults: A cross-sectional study. International Journal of Environmental Research and Public Health, 17(10). https://doi.org/10.3390/ijerph17103499Hair Jr., J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2013). Multi-Variate Data Analysis. Dolrling Kindersley.Hair Jr., J. F., Black, W., Babin, B., & Anderson, R. (2014). Multivariate Data Analysis: A Global Perspective (7th ed.). Pearson Education Limited. https://doi.org/10.1038/259433b0Hair Jr., J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2013). Multi-Variate Data Analysis. Dolrling Kindersley.He, J., Van de Vijver, F. J. R., Fetvadjiev, V. H., Dominguez Espinosa, A., Adams, B., Alonso-Arbiol, I., Aydinli-Karakulak, A., Buzea, C., Dimitrova, R., Fortin, A., Hapunda, G., Ma, S., Sargautyte, R., Sim, S., Schachner, M. K., Suryani, A., Zeinoun, P., & Zhang, R. (2017). On Enhancing the Cross-Cultural Comparability of Likert-Scale Personality and Value Measures: A Comparison of Common Procedures. European Journal of Personality, 31(6), 642–657. https://doi.org/10.1002/per.2132Hermeking, M. (2005). Culture and internet consumption: Contributions from cross-cultural marketing and advertising research. Journal of Computer-Mediated Communication, 11(1). https://doi.org/10.1111/j.1083-6101.2006.tb00310.xHerrewijn, L., De Jans, S., Hudders, L., & Cauberghe, V. (2021). Leveling up advertising literacy! Investigating the cognitive and motivational effectiveness of a digital game for learning aimed at improving children’s advertising literacy. Electronic Commerce Research and Applications, 46. https://doi.org/10.1016/j.elerap.2021.101036Hoek, R. W., Rozendaal, E., van Schie, H. T., van Reijmersdal, E. A., & Buijzen, M. (2020). Testing the Effectiveness of a Disclosure in Activating Children’s Advertising Literacy in the Context of Embedded Advertising in Vlogs. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.00451Holland, G., & Tiggemann, M. (2016). A systematic review of the impact of the use of social networking sites on body image and disordered eating outcomes. Body Image, 17, 100–110. https://doi.org/https://doi.org/10.1016/j.bodyim.2016.02.008Hudders, L., & Cauberghe, V. (2018). The mediating role of advertising literacy and the moderating influence of parental mediation on how children of different ages react to brand placements. Journal of Consumer Behaviour, 17(2), 197–210. https://doi.org/10.1002/cb.1704Hudders, L., de Pauw, P., Cauberghe, V., Panic, K., Zarouali, B., & Rozendaal, E. (2017). Shedding New Light on How Advertising Literacy Can Affect Children’s Processing of Embedded Advertising Formats: A Future Research Agenda. Journal of Advertising, 46(2), 333–349. https://doi.org/10.1080/00913367.2016.1269303Hussain, Z., Griffiths, M. D., & Sheffield, D. (2017). An investigation into problematic smartphone use: The role of narcissism, anxiety, and personality factors. Journal of Behavioral Addictions, 6(3), 378–386. https://doi.org/10.1556/2006.6.2017.052Huynh, A., & Wisk, L. E. (2022). Application of behavioral economics for understanding health behaviors among adolescents and young adults. Current Opinion in Pediatrics, 34(4), 326–333. https://doi.org/10.1097/MOP.0000000000001126IFT. (2021). Las audiencias infantiles y el consumo de publicidad televisiva. http://www.ift.org.mx/sites/default/files/contenidogeneral/medios-y-contenidos-audiovisuales/audienciasinfantilesypublicidad202001.pdfINE. (2019). Encuesta sobre Equipamiento y Uso de Tecnologías de Información y Comunicación en los Hogares Año 2019. https://www.ine.es/prensa/tich_2019.pdfINEGI. (2019). Comunicado de prensa núm. 103/20. https://www.inegi.org.mx/contenidos/saladeprensa/boletines/2020/OtrTemEcon/ENDUTIH_2019.pdfJayakumar, R., & Janaki, T. (2018). Role of Media in Child Development. In M. Rajakumar & A. Selvaraj (Eds.), Media and Child Development Vol I (First Edit, pp. 247–253). Lulu Publication.John, D. R. (1999). Consumer socialization of children: A retrospective look at twenty-five years of research. Journal of Consumer Research, 26(3), 183–213. https://doi.org/10.1086/209559Jones, H. E., Garrett, B. E., & Griffiths, R. R. (1999). Subjective and Physiological Effects of Intravenous Nicotine and Cocaine in Cigarette Smoking Cocaine Abusers. Journal of Pharmacology and Experimental Therapeutics, 288, 188–197.Jun, S., & Choi, E. (2015). Academic stress and Internet addiction from general strain theory framework. Computers in Human Behavior, 49, 282–287. https://doi.org/10.1016/j.chb.2015.03.001Junglas, I. A., & Watson, R. T. (2003). U-Commerce: A Conceptual Extension of E-Commerce and M-Commerce. ICIS.Kardefelt-Winther, D. (2014). A conceptual and methodological critique of internet addiction research: Towards a model of compensatory internet use. Computers in Human Behavior, 31(1), 351–354. https://doi.org/10.1016/j.chb.2013.10.059Keinan, A., & Kivetz, R. (2011). Productivity orientation and the consumption of collectable experiences. Journal of Consumer Research, 37(6), 935–950. https://doi.org/10.1086/657163Kemp, S. (2020). Digital 2020: Global Digital Overview. https://datareportal.com/reports/digital-2020-global-digital-overview?utm_source=Reports&utm_medium=PDF&utm_campaign=Digital_2020&utm_content=Dual_Report_Promo_SlideKemp, S. (2022a). Digital 2022: Colombia. Digital 2022: Colombia. https://datareportal.com/reports/digital-2022-colombiaKemp, S. (2022b). Digital 2022 Global Overview Report. https://kepios.com/reportsKim, K., Milne, G. R., & Bahl, S. (2018). Smart phone addiction and mindfulness: an intergenerational comparison. International Journal of Pharmaceutical and Healthcare Marketing, 12(1), 25–43. https://doi.org/10.1108/IJPHM-08-2016-0044Kitchenham, B. (2004). Procedures for Performing Systematic Reviews. https://www.inf.ufsc.br/~aldo.vw/kitchenham.pdfKizgin, H., Jamal, A., Dey, B. L., & Rana, N. P. (2018). The Impact of Social Media on Consumers’ Acculturation and Purchase Intentions. Information Systems Frontiers, 20(3), 503–514. https://doi.org/10.1007/s10796-017-9817-4Klein, D. A., Paradise, S. L., & Landis, C. A. (2020). Screening and Counseling Adolescents and Young Adults: A Framework for Comprehensive Care. American Family Physician, 101(3), 147–158.Kopp, K. (2018). Canadians Advance Bill to Limit the Marketing of Unhealthy Foods to Children, Including Online. The Center for Digital Democracy. https://www.democraticmedia.org/blog/canadians-advance-bill-limit-marketing-unhealthy-foods-children-including-onlineKotrla Topić, M., Varga, V., & Jelovčić, S. (2021). Digital Technology Use during the COVID-19 Pandemic and Its Relations to Sleep Quality and Life Satisfaction in Children and Parents. Drustvena Istrazivanja, 30(2), 249–269. https://doi.org/10.5559/di.30.2.04Krishnamurti, T., Ling Murtaugh, K., Van Nunen, L., Davis, A. L., Ipser, J., & Shoptaw, S. (2020). Spending money to make change: Association of methamphetamine abstinence and voucher spending among contingency management pilot participants in South Africa. Journal of Substance Abuse Treatment, 112, 60–67. https://doi.org/10.1016/j.jsat.2020.01.014Kurz, C. F., & König, A. N. (2022). Predicting time preference from social media behavior. Future Generation Computer Systems, 130, 155–163. https://doi.org/10.1016/j.future.2021.12.017Lachmann, B., Sindermann, C., Sariyska, R. Y., Luo, R., Melchers, M. C., Becker, B., Cooper, A. J., & Montag, C. (2018). The Role of Empathy and Life Satisfaction in Internet and Smartphone Use Disorder. Frontiers in Psychology, 9, 398. https://doi.org/10.3389/fpsyg.2018.00398Lapierre, M. A., & Choi, E. (2021). Parental awareness of new online advertising techniques targeting children: an exploratory study of American parents. Young Consumers, 22(2), 290–305. https://doi.org/10.1108/YC-12-2020-1271Laurence, P. G., Busin, Y., da Cunha Lima, H. S., & Macedo, E. C. (2020). Predictors of problematic smartphone use among university students. Psicologia: Reflexao e Critica, 33(1). https://doi.org/10.1186/s41155-020-00147-8Lee, M., Han, M., & Pak, J. (2018). Analysis of behavioral characteristics of smartphone addiction using data mining. Applied Sciences (Switzerland), 8(7). https://doi.org/10.3390/app8071191Lee, S., Kim, M., Mendoza, J. S., & McDonough, I. M. (2018). Addicted to cellphones: exploring the psychometric properties between the nomophobia questionnaire and obsessiveness in college students. Heliyon, 4(11). https://doi.org/10.1016/j.heliyon.2018.e00895Lee, Y. K., Chang, C. T., Lin, Y., & Cheng, Z. H. (2014). The dark side of smartphone usage: Psychological traits, compulsive behavior and technostress. Computers in Human Behavior, 31(1), 373–383. https://doi.org/10.1016/j.chb.2013.10.047Levenson, J. C., Shensa, A., Sidani, J. E., Colditz, J. B., & Primack, B. A. (2016). The association between social media use and sleep disturbance among young adults. Preventive Medicine, 85, 36–41. https://doi.org/https://doi.org/10.1016/j.ypmed.2016.01.001Lian, L., You, X., Huang, J., & Yang, R. (2016). Who overuses Smartphones? Roles of virtues and parenting style in Smartphone addiction among Chinese college students. Computers in Human Behavior, 65, 92–99. https://doi.org/10.1016/j.chb.2016.08.027Little, D. R., & Smith, P. L. (2018). Replication is already mainstream: Lessons from small-N designs. The Behavioral and Brain Sciences, 41, e141. https://doi.org/10.1017/S0140525X18000766Liu, Q. Q., Zhang, D. J., Yang, X. J., Zhang, C. Y., Fan, C. Y., & Zhou, Z. K. (2018). Perceived stress and mobile phone addiction in Chinese adolescents: A moderated mediation model. Computers in Human Behavior, 87, 247–253. https://doi.org/10.1016/j.chb.2018.06.006Livingstone, S., Blum-Ross, A., Pavlick, J., & Ólafsson, K. (2018). In the digital home, how do parents support their children and who supports them? http://www.lse.ac.uk/media-and-communications/assets/documents/research/preparing-for-a-digital-future/P4DF-Survey-Report-1-In-the-digital-home.pdfLopez-Fernandez, O., Männikkö, N., Kääriäinen, M., Griffiths, M. D., & Kuss, D. J. (2018). Mobile gaming and problematic smartphone use: A comparative study between Belgium and Finland. Journal of Behavioral Addictions, 7(1), 88–99. https://doi.org/10.1556/2006.6.2017.080Lua, A. (2022). 20 Top social media sites to consider for your brand in 2022. London: Routledge.Macias, W. (2003). A Beginning Look at the Effects of Interactivity, Product Involvement and Web Experience on Comprehension: Brand Web Sites as Interactive Advertising. Journal of Current Issues & Research in Advertising, 25(2), 31–44. https://doi.org/10.1080/10641734.2003.10505147MacKillop, J., Amlung, M. T., Few, L. R., Ray, L. A., Sweet, L. H., & Munafò, M. R. (2011). Delayed reward discounting and addictive behavior: A meta-analysis. Psychopharmacology, 216(3), 305–321. https://doi.org/10.1007/s00213-011-2229-0Madden, G. J., & Johnson, P. S. (2010). A delay-discounting primer. In G. J. Madden & W. K. Bickel (Eds.), Impulsivity: The behavioral and neurological science of discounting (pp. 11–37). American Psychological Association. http://dx.doi.org/10.1037/12069-001Madden, G. J., Petry, N. M., Badger, G. J., & Bickel, W. K. (1997). Impulsive and self-control choices in opioid-dependent patients and non-drug-using control participants: drug and monetary rewards. Experimental and Clinical Psychopharmacology, 5(3), 256—262. https://doi.org/10.1037//1064-1297.5.3.256McDonald, J. A., Sroka, C., Olivares, E., Marin, M., Gurrola, M., & Sharkey, J. R. (2018). Patterns of screen time among rural Mexican-American children on the New Mexico-Mexico border. Preventing Chronic Disease, 15(9). https://doi.org/10.5888/pcd15.180070Meng, H., Cao, H., Hao, R., Zhou, N., Liang, Y., Wu, L., Jiang, L., Ma, R., Li, B., Deng, L., Lin, Z., Lin, X., & Zhang, J. (2020). Smartphone use motivation and problematic smartphone use in a national representative sample of Chinese adolescents: The mediating roles of smartphone use time for various activities. Journal of Behavioral Addictions, 9(1), 163–174. https://doi.org/10.1556/2006.2020.00004Mikeska, J., Harrison, R. L., Carlson, L., & Coryn, C. L. S. (2017). The influence of parental and communication style on consumer socialization: A meta-analysis informs marketing strategy considerations involving parent-child interventions. Journal of Advertising Research, 57(3), 319–334. https://doi.org/10.2501/JAR-2017-002Moreno López, N. M., González Robles, A. C., & Torres Gómez, A. C. (2017). Alfabetización digital a padres de familia en el uso de las redes sociales . Alteridad. Revista de Educación, 12(1), 8–19. https://www.redalyc.org/articulo.oa?id=467751868001Moreno, M., Riddle, K., Jenkins, M. C., Singh, A. P., Zhao, Q., & Eickhoff, J. (2022). Measuring Problematic Internet Use, Internet Gaming Disorder, and Social Media Addiction in Young Adults: Cross-sectional Survey Study. JMIR Public Health Surveill, 8(1), e27719. https://doi.org/10.2196/27719Morris, C., Schofield, P., & Hirst, C. (2019). Exploration of the Factors Influencing Attitudes to Breastfeeding in Public. Journal of Human Lactation. https://doi.org/10.1177/0890334419878119MSI (2020). Marketing Science Institute Research Priorities 2020-2022. https://www.msi.org/wp-content/uploads/2020/06/MSI_RP20-22.pdfMSI (2022). MSI Research Priorities 2022-2024. https://ua.thearf.org/wp-content/uploads/2022/10/MSI-2022-24-Research-Priorities-Final.pdfMuzellec, L., Feenstra, F., de Faultrier, B., & Boulay, J. (2016). Children’s experiences and parents’ perceptions of retailers’ mobile applications. International Journal of Retail and Distribution Management, 44(11), 1118–1131. https://doi.org/10.1108/IJRDM-11-2015-0169Nahas, M., Hlais, S., Saberian, C., & Antoun, J. (2018). Problematic smartphone use among Lebanese adults aged 18–65 years using MPPUS-10. Computers in Human Behavior, 87, 348–353. https://doi.org/10.1016/j.chb.2018.06.009Naumovska, L., Jovevski, D., & Brockova, K. (2020). Parental Awareness and Attitudes of Digital Media Advertising to Children. 7th International Conference on New Ideas in Management, Economics and Accounting. https://www.imeaconf.org/42-816/Neeley, S., & Coffey, T. (2007). Understanding the “Four-Eyed, Four-Legged” Consumer: A Segmentation Analysis of U.S. Moms. Journal of Marketing Theory and Practice, 15(3), 251. https://www.jstor.org/stable/40470297Nelson, M. R., Atkinson, L., Rademacher, M. A., & Ahn, R. (2017). How Media and Family Build Children’s Persuasion Knowledge. Journal of Current Issues and Research in Advertising, 38(2), 165–183. https://doi.org/10.1080/10641734.2017.1291383Neslin, S. A., & Shankar, V. (2009). Key Issues in Multichannel Customer Management: Current Knowledge and Future Directions. Journal of Interactive Marketing, 23(1), 70–81. https://doi.org/https://doi.org/10.1016/j.intmar.2008.10.005Newman, N., & Oates, C. J. (2014). Parental mediation of food marketing communications aimed at children. International Journal of Advertising, 33(3), 579–598. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907303450&partnerID=40&md5=81df0c208c2bf3f2ef97a8b0daf6764cNewzoo. (2017). The global market will reach $108.9 billion in 2017 with mobile taking 42%. https://newzoo.com/insights/articles/the-globalgames-%0Amarket-will-reach-108-9-billion-in-2017-with-mobiletaking-%0A42/Normand, M. P. (2016). Less is more: Psychologists can learn more by studying fewer people. Frontiers in Psychology, 7(JUN). https://doi.org/10.3389/fpsyg.2016.00934Nwabueze, C., Nweke, N., & Ejezie, L. (2014). Cross-Cultural Research Relevance in Public Relations: An Analytical Appraisal. https://doi.org/10.6084/m9.figshare.1126027Odum, A. L., Baumann, A. A., & Rimington, D. D. (2006). Discounting of delayed hypothetical money and food: Effects of amount. Behavioural Processes, 73(3), 278–284. https://doi.org/10.1016/j.beproc.2006.06.008Okazaki, S., & Mueller, B. (2007). Cross-cultural advertising research: where we have been and where we need to go. INTERNATIONAL MARKETING REVIEW, 24(5), 499–518. https://doi.org/10.1108/02651330710827960Panova, T., & Carbonell, X. (2018). Is smartphone addiction really an addiction? Journal of Behavioral Addictions, 7(2), 252–259. https://doi.org/10.1556/2006.7.2018.49Park, T., Shenoy, R., & Salvendy, G. (2008). Effective advertising on mobile phones: a literature review and presentation of results from 53 case studies. Behaviour & Information Technology, 27(5), 355–373. https://doi.org/10.1080/01449290600958882Parreño, J. M., Sanz-Blas, S., Ruiz-Mafé, C., & Aldás-Manzano, J. (2013). Key factors of teenagers’ mobile advertising acceptance. Industrial Management and Data Systems, 113(5), 732–749. https://doi.org/10.1108/02635571311324179Peng, Y., Zhou, H., Zhang, B., Mao, H., Hu, R., & Jiang, H. (2022). Perceived stress and mobile phone addiction among college students during the 2019 coronavirus disease: The mediating roles of rumination and the moderating role of self-control. Personality and Individual Differences, 185. https://doi.org/10.1016/j.paid.2021.111222Peters, J., & Büchel, C. (2011). The neural mechanisms of inter-temporal decision-making: Understanding variability. Trends in Cognitive Sciences, 15(5), 227–239. https://doi.org/10.1016/j.tics.2011.03.002Petry, N. M., Alessi, S. M., & Ledgerwood, D. M. (2012). Contingency management delivered by community therapists in outpatient settings. Drug and Alcohol Dependence, 122(1), 86–92. https://doi.org/https://doi.org/10.1016/j.drugalcdep.2011.09.015Pires, C. M., Moura-Leite, R. C., Pereira, M. W. G., & Tang-Serquen, I. (2020). Corporate social responsibility from the consumer perspective: A cross-cultural study. Revista Brasileira de Marketing, 19(2), 334–360. https://doi.org/10.5585/REMARK.V19I2.17773Plowman, L. (2015). Researching Young Children’s Everyday Uses of Technology in the Family Home. Interacting with Computers, 27(1), 36–46. https://doi.org/10.1093/iwc/iwu031Rabin, C., & Bock, B. (2011). Desired features of smartphone applications promoting physical activity. Telemedicine Journal and E-Health : The Official Journal of the American Telemedicine Association, 17(10), 801–803. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84858852464&partnerID=40&md5=c1dee4a514e7859ec861fafc9eaf5f03Rachlin, H. (1997). Four teleological theories of addiction. Psychonomic Bulletin and Review, 4(4), 462–473. https://doi.org/10.3758/BF03214335Radesky, J., Chassiakos, Y. R., Ameenuddin, N., Navsaria, D., & Council on Communication and Media. (2020). Digital advertising to children. Pediatrics, 146(1). https://doi.org/10.1542/peds.2020-1681Rasmussen, E. B., Lawyer, S. R., & Reilly, W. (2010). Percent body fat is related to delay and probability discounting for food in humans. Behavioural Processes, 83(1), 23–30. https://doi.org/10.1016/j.beproc.2009.09.001Razmus, W., Mazzoli, V., Acuti, D., & Grabner-Kräuter, S. (2020). Brand engagement in self-concept: a comparative study in Austria, Italy and Poland. Journal of Consumer Marketing, 37(7), 785–794. https://doi.org/10.1108/JCM-09-2019-3412Reijmersdal, E. A. van, & Rozendaal, E. (2020). Transparency of digital native and embedded advertising: Opportunities and challenges for regulation and education. 45(3), 378–388. https://doi.org/doi:10.1515/commun-2019-0120Reynolds, N. L., Simintiras, A. C., & Diamantopoulos, A. (2003). Theoretical justification of sampling choices in international marketing research: Key issues and quidelines for researchers. Journal of International Business Studies, 34(1), 80–89. https://doi.org/10.1057/palgrave.jibs.8400000Risden, K., Czerwinski, M., Worley, S., Hamilton, L., Kubiniec, J., Hoffman, H., Mickel, N., & Loftus, E. (1998). Interactive Advertising: Patterns of Use and Effectiveness. https://www.microsoft.com/en-us/research/publication/interactive-advertising-patterns-of-use-and-effectiveness/Robayo-Pinzon, O., Foxall, G. R., Montoya-Restrepo, L. A., & Rojas-Berrio, S. (2021). Does excessive use of smartphones and apps make us more impulsive? An approach from behavioural economics. Heliyon, 7(2), e06104. https://doi.org/10.1016/j.heliyon.2021.e06104Robb, M. B., Bay, W., & Vennegaard, T. (2019). The new normal: Parents, teens, and mobile devices in Mexico. Common Sense. http://assets.uscannenberg.org/docs/new-normal/new-normal-full-report-mexico-english-2019.pdfRobertson, T. S., & Rossiter, J. R. (1974). Children and Commercial Persuasion: An Attribution Theory Analysis. Journal of Consumer Research, 1(1), 13–20. http://www.jstor.org/stable/2488950Rodzon, K., Berry, M. S., & Odum, A. L. (2011). Within-subject comparison of degree of delay discounting using titrating and fixed sequence procedures. Behavioural Processes, 86(1), 164–167. https://doi.org/10.1016/j.beproc.2010.09.007Rosa, F., Sillani, S., & Vasciaveo, M. (2017). Cross-Cultural Consumer Behavior: Use of Local Language for Market Communication—A Study in Region Friuli Venetia Giulia (Italy). Journal of Food Products Marketing, 23(6), 621–648. https://doi.org/10.1080/10454446.2015.1048029Ross, D., Sharp, C., Vuchinich, R. E., & Spurrett, D. (2008). Midbrain Mutiny: The Picoeconomics and Neuroeconomics of Disordered Gambling: Economic Theory and Cognitive Science (Vol. 1). The MIT Press. https://econpapers.repec.org/RePEc:mtp:titles:0262517582Roulston, K., & Martinez, B. (2016). Recruitment and Sampling in Consumer Research. In P. M. W. Hackett (Ed.), Qualitative Research Methods in Consumer Psychology: Ethnography and Culture (1st ed., p. 352). Routledge Taylor & Francis Group.Rozendaal, E., Buijzen, M., & Valkenburg, P. (2011). Children’s understanding of advertisers’ persuasive tactics. International Journal of Advertising, 30(2). https://doi.org/10.2501/IJA-30-2-329-350Rozendaal, E., Lapierre, M. A., van Reijmersdal, E. A., & Buijzen, M. (2011). Reconsidering Advertising Literacy as a Defense Against Advertising Effects. Media Psychology, 14(4), 333–354. https://doi.org/10.1080/15213269.2011.620540Rozgonjuk, D., Levine, J. C., Hall, B. J., & Elhai, J. D. (2018). The association between problematic smartphone use, depression and anxiety symptom severity, and objectively measured smartphone use over one week. Computers in Human Behavior, 87, 10–17. https://doi.org/10.1016/j.chb.2018.05.019Rung, J. M., Argyle, T. M., Siri, J. L., & Madden, G. J. (2018). Choosing the right delay-discounting task: Completion times and rates of nonsystematic data. Behavioural Processes, 151, 119–125. https://doi.org/10.1016/j.beproc.2018.03.022Sahin, C. (2017). The predictive level of social media addiction for life satisfaction: A study on university students. Turkish Online Journal of Educational Technology, 2017(December Special Issue INTE), 515–520.Samaha, M., & Hawi, N. S. (2016). Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Computers in Human Behavior, 57, 321–325. https://doi.org/10.1016/j.chb.2015.12.045Sanz-Blas, S., Buzova, D., & Miquel-Romero, M. J. (2019). From Instagram overuse to instastress and emotional fatigue: the mediation of addiction. Spanish Journal of Marketing - ESIC, 23(2), 143–161. https://doi.org/10.1108/SJME-12-2018-0059Sarun, K. T., Remesh Babu, K. R., Praveen, A. N., & Shelry, E. (2019). User Perspective Based APP Recommendation System. International Journal of Modern Electronics and Communication Engineering, 7(4), 63–70.Saunders, M., Lewis, P., & Thornhill, A. (2016). Research Methods for Business Students. Pearson Education Limited. https://books.google.com.co/books?id=HbEFvgEACAAJSchierholz, R., Kolbe, L. M., & Brenner, W. (2007). Mobilizing customer relationship management: A journey from strategy to system design. Business Process Management Journal, 13(6), 830–852. https://doi.org/10.1108/14637150710834587Shankar, V. (2016). Mobile Marketing: The Way Forward. Journal of Interactive Marketing, 34, 1–2. https://doi.org/10.1016/j.intmar.2016.03.005Shankar, V., & Balasubramanian, S. (2009). Mobile Marketing: A Synthesis and Prognosis. Journal of Interactive Marketing, 23(2), 118–129. https://doi.org/10.1016/j.intmar.2009.02.002Shankar, V., & Malthouse, E. C. (2006). Moving interactive marketing forward. Journal of Interactive Marketing, 20(1), 2–4. https://doi.org/10.1002/dir.20057Shin, W. (2017). Active mediation of television, internet and mobile advertising. Young Consumers, 18(4), 378–392. https://doi.org/10.1108/YC-06-2017-00700Simó-Sanz, C., Ballestar-Tarín, M. L., & Martínez-Sabater, A. (2018). Smartphone Addiction Inventory (SPAI): Translation, adaptation and validation of the tool in Spanish adult population. PLoS ONE, 13(10). https://doi.org/10.1371/journal.pone.0205389Sin, L. Y., Cheung, G. W., & Lee, R. (1999). Methodology in Cross-Cultural Consumer Research: A Review and Critical Assessment. Journal of International Consumer Marketing, 11(4), 75–96. https://doi.org/10.1300/J046v11n04_05Smith, P. B., & Bond, M. H. (1993). Social psychology across cultures. Harvester & Wheatsheaf.Smith, P. L., & Little, D. R. (2018). Small is beautiful: In defense of the small-N design. Psychonomic Bulletin & Review, 25(6), 2083–2101. https://doi.org/10.3758/s13423-018-1451-8Soltero-González, L., & Gillanders, C. (2021). Rethinking Home-School Partnerships: Lessons Learned from Latinx Parents of Young Children During the COVID-19 Era. Early Childhood Education Journal, 49(5), 965–976. https://doi.org/10.1007/s10643-021-01210-4Statista (2021a). Forecast of the number of smartphone users in the World from 2010 to 2025. https://www.statista.com/forecasts/1143723/smartphone-users-in-the-worldStatista (2021b). Spending on advertising to children worldwide from 2012 to 2021. https://www.statista.com/statistics/750865/kids-advertising-spending-worldwide/Statista (2022). Number of apps available in leading app stores as of 1st quarter 2022. https://www.statista.com/statistics/276623/number-of-apps-available-in-leading-app-stores/Stephenson, J., & Limbrick, L. (2015). A Review of the Use of Touch-Screen Mobile Devices by People with Developmental Disabilities. Journal of Autism and Developmental Disorders, 45(12), 3777–3791. https://doi.org/10.1007/s10803-013-1878-8Sultan, F., Rohm, A. J., & Gao, T. (2009). Factors Influencing Consumer Acceptance of Mobile Marketing: A Two-Country Study of Youth Markets. Journal of Interactive Marketing, 23(4), 308–320. https://doi.org/10.1016/j.intmar.2009.07.003Sun, J., Liu, Q., & Yu, S. (2019). Child neglect, psychological abuse and smartphone addiction among Chinese adolescents: The roles of emotional intelligence and coping style. Computers in Human Behavior, 90, 74–83. https://doi.org/10.1016/j.chb.2018.08.032Tähtinen, J. (2006). Mobile Advertising or Mobile Marketing. A Need for a New Concept.Tang, Z., Zhang, H., Yan, A., & Qu, C. (2017). Time is money: The decision making of smartphone high users in gain and loss intertemporal choice. Frontiers in Psychology, 8(MAR). https://doi.org/10.3389/fpsyg.2017.00363Thaichon, P. (2017). Consumer socialization process: The role of age in children’s online shopping behavior. Journal of Retailing and Consumer Services, 34, 38–47. https://doi.org/10.1016/j.jretconser.2016.09.007The CIU (2019). Mercado de Smartphones en México: Competencia y Diversidad de Alternativas para el Consumidor. https://www.theciu.com/publicaciones-2/2019/8/19/mercado-de-smartphones-en-mxico-competencia-y-diversidad-de-alternativas-para-el-consumidorThrouvala, M. A., Pontes, H. M., Tsaousis, I., Griffiths, M. D., Rennoldson, M., & Kuss, D. J. (2021). Exploring the Dimensions of Smartphone Distraction: Development, Validation, Measurement Invariance, and Latent Mean Differences of the Smartphone Distraction Scale (SDS). Frontiers in Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.642634Tsang, M. M., Ho, S. C., & Liang, T. P. (2004). Consumer attitudes toward mobile advertising: An empirical study. International Journal of Electronic Commerce, 8(3), 65–78. https://www.scopus.com/inward/record.uri?eid=2-s2.0-2442516454&partnerID=40&md5=1042d0fd836ae8500806bb140cf4a77cTutgun-ünal, A., & Deniz, L. (2015). Development of the Social Media Addiction Scale. AJIT-e: Bilişim Teknolojileri Online Dergisi, 6(21), 51–70. https://doi.org/10.5824/1309-1581.2015.4.004.xUNICEF & ITU. (2020). How many children and young people have internet access at home? Estimating digital connectivity during the COVID-19 pandemic. https://www.itu.int/en/ITU-D/Statistics/Documents/publications/UNICEF/How-many-children-and-young-people-have-internet-access-at-home-2020_v2final.pdfVan Dam, S., & Van Reijmersdal, E. A. (2019). Insights in adolescents’ advertising literacy, perceptions and responses regarding sponsored influencer videos and disclosures. Cyberpsychology, 13(2). https://doi.org/10.5817/CP2019-2-2Vanwesenbeeck, I., Ponnet, K., & Walrave, M. (2017). Young adolescents’ advertising literacy and purchase intention in social network games: Influence of perspective taking and need for cognition. Journal of Consumer Behaviour, 16(1), 23–33. https://doi.org/10.1002/cb.1596Vanwesenbeeck, I., Walrave, M., & Ponnet, K. (2016). Young Adolescents and Advertising on Social Network Games: A Structural Equation Model of Perceived Parental Media Mediation, Advertising Literacy, and Behavioral Intention. Journal of Advertising, 45(2), 183–197. https://doi.org/10.1080/00913367.2015.1123125Wacks, Y., & Weinstein, A. M. (2021). Excessive Smartphone Use Is Associated With Health Problems in Adolescents and Young Adults. Frontiers in Psychiatry, 12. https://doi.org/10.3389/fpsyt.2021.669042Waiguny, M. K. J., Nelson, M. R., & Terlutter, R. (2014). The Relationship of Persuasion Knowledge, Identification of Commercial Intent and Persuasion Outcomes in Advergames-the Role of Media Context and Presence. Journal of Consumer Policy, 37(2), 257–277. https://doi.org/10.1007/s10603-013-9227-zWalrave, M., & Heirman, W. (2013). Adolescents, Online Marketing and Privacy: Predicting Adolescents’ Willingness to Disclose Personal Information for Marketing Purposes. Children and Society, 27(6), 434–447. https://doi.org/10.1111/j.1099-0860.2011.00423.xWalsh, S. P., & White, K. M. (2007). Me, my mobile, and I: The role of self- and prototypical identity influences in the prediction of mobile phone behavior. Journal of Applied Social Psychology, 37(10), 2405–2434. https://doi.org/10.1111/j.1559-1816.2007.00264.xWalsh, S. P., White, K. M., & Young, R. M. (2010). Needing to connect: The effect of self and others on young people’s involvement with their mobile phones. Australian Journal of Psychology, 62(4), 194–203. https://doi.org/10.1080/00049530903567229Wang, J., Wang, H., Lin, H., Richards, M., Yang, S., Liang, H., Chen, X., & Fu, C. (2021). Study problems and depressive symptoms in adolescents during the COVID-19 outbreak: poor parent-child relationship as a vulnerability. Globalization and Health, 17(1), 1–9. https://doi.org/10.1186/s12992-021-00693-5Weinstein, A., & Siste, K. (2022). Editorial: Excessive and problematic smartphone usage. Frontiers in Psychiatry, 13. https://doi.org/10.3389/fpsyt.2022.972613Weller, R. E., Cook III, E. W., Avsar, K. B., & Cox, J. E. (2008). Obese women show greater delay discounting than healthy-weight women. Appetite, 51(3), 563–569. https://doi.org/10.1016/j.appet.2008.04.010Werling, A. M., Walitza, S., Grünblatt, E., & Drechsler, R. (2021). Media use before, during and after COVID-19 lockdown according to parents in a clinically referred sample in child and adolescent psychiatry: Results of an online survey in Switzerland. Comprehensive Psychiatry, 109(152260-). https://doi.org/10.1016/j.comppsych.2021.152260Werner, A., Spiller, A., & Meyerding, S. G. (2020). The yoga of sustainable diets: Exploring consumers mind and spirit. Journal of Cleaner Production, 243. https://doi.org/10.1016/j.jclepro.2019.118473West, R., Ash, C., Dapore, A., Kirby, B., Malley, K., & Zhu, S. (2021). Problematic smartphone use: The role of reward processing, depressive symptoms and self-control. Addictive Behaviors, 122. https://doi.org/10.1016/j.addbeh.2021.107015Whelan, R., & McHugh, L. A. (2010). Temporal discounting of hypothetical monetary rewards by adolescents, adults, and older adults. The Psychological Record, 59, 6.Wilcockson, T. D., Ellis, D. A., & Shaw, H. (2018). Determining typical smartphone usage: What data do we need? Cyberpsychology, Behavior, and Social Networking, 21(6), 395–398. https://doi.org/10.1089/cyber.2017.0652Wilmer, H. H., Sherman, L. E., & Chein, J. M. (2017). Smartphones and cognition: A review of research exploring the links between mobile technology habits and cognitive functioning. Frontiers in Psychology, 8(APR). https://doi.org/10.3389/fpsyg.2017.00605Wisenblit, J. Z., Priluck, R., & Pirog, S. F. (2013). The influence of parental styles on children’s consumption. Journal of Consumer Marketing, 30(4), 320–327. https://doi.org/10.1108/JCM-02-2013-0465Yang, Z., Kim, C., Laroche, M., & Lee, H. (2014). Parental style and consumer socialization among adolescents: A cross-cultural investigation. Journal of Business Research, 67(3), 228–236. https://doi.org/10.1016/j.jbusres.2013.05.008Yildirim, C., & Correia, A. P. (2015). Exploring the dimensions of nomophobia: Development and validation of a self-reported questionnaire. Computers in Human Behavior, 49, 130–137. https://doi.org/10.1016/j.chb.2015.02.059Yu, S., & Sussman, S. (2020). Does smartphone addiction fall on a continuum of addictive behaviors? International Journal of Environmental Research and Public Health, 17(2). https://doi.org/10.3390/ijerph17020422Yuan, S. T., & Tsao, Y. W. (2003). A recommendation mechanism for contextualized mobile advertising. Expert Systems with Applications, 24(4), 399–414. https://doi.org/https://doi.org/10.1016/S0957-4174(02)00189-6Zahrai, K., Veer, E., Ballantine, P. W., & Peter de Vries, H. (2022). Conceptualizing Self-control on Problematic Social Media Use. Australasian Marketing Journal, 30(1), 74–89. https://doi.org/10.1177/1839334921998866Zhao, J., Jia, T., Wang, X., Xiao, Y., & Wu, X. (2022). Risk Factors Associated With Social Media Addiction: An Exploratory Study. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.837766Zoller, E. (2003). Wireless Marketing Opportunities. London, UK, Ovum Research.EstudiantesInvestigadoresMedios de comunicaciónPadres y familiasPersonal de apoyo escolarPúblico generalLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/84120/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL79843140.2023.pdf79843140.2023.pdfTesis de Doctorado en Ingenieríaapplication/pdf1018944https://repositorio.unal.edu.co/bitstream/unal/84120/2/79843140.2023.pdf33c59175ed448dc61457741bf08a1d80MD52THUMBNAIL79843140.2023.pdf.jpg79843140.2023.pdf.jpgGenerated Thumbnailimage/jpeg5287https://repositorio.unal.edu.co/bitstream/unal/84120/3/79843140.2023.pdf.jpg783c5f9514552fccada8cbefbb94acd0MD53unal/84120oai:repositorio.unal.edu.co:unal/841202023-08-10 23:04:26.72Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.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

Digital Consumer Behavior: dependence, relative reinforcing value and literacy in the context of social media apps and mobile advertising

Publicaciones similares