Proceso heurístico de toma de decisiones estratégicas relacionadas con innovación en tiempos de crisis

Distintas investigaciones han avanzado en la exploración de las decisiones que las empresas han tomado e implementado para hacer frente a la crisis socio-económica generada por la pandemia de covid-19. Sin embargo, poco han examinado sobre un asunto clave, el proceso de toma de decisiones en dicho c...

Full description

Autores:
Tipo de recurso:
Fecha de publicación:
2023
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
spa
OAI Identifier:
oai:repository.urosario.edu.co:10336/39444
Acceso en línea:
https://repository.urosario.edu.co/handle/10336/39444
Palabra clave:
Decisiones estratégicas
Innovación
Crisis
Framework
Proceso heurístico
Strategic decisions
Innovation
Crisis
Framework
Heuristic process
Rights
License
Attribution-NonCommercial-ShareAlike 4.0 International
id EDOCUR2_ca21f15ccd207d288e251528d2100fa1
oai_identifier_str oai:repository.urosario.edu.co:10336/39444
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
dc.title.none.fl_str_mv Proceso heurístico de toma de decisiones estratégicas relacionadas con innovación en tiempos de crisis
title Proceso heurístico de toma de decisiones estratégicas relacionadas con innovación en tiempos de crisis
spellingShingle Proceso heurístico de toma de decisiones estratégicas relacionadas con innovación en tiempos de crisis
Decisiones estratégicas
Innovación
Crisis
Framework
Proceso heurístico
Strategic decisions
Innovation
Crisis
Framework
Heuristic process
title_short Proceso heurístico de toma de decisiones estratégicas relacionadas con innovación en tiempos de crisis
title_full Proceso heurístico de toma de decisiones estratégicas relacionadas con innovación en tiempos de crisis
title_fullStr Proceso heurístico de toma de decisiones estratégicas relacionadas con innovación en tiempos de crisis
title_full_unstemmed Proceso heurístico de toma de decisiones estratégicas relacionadas con innovación en tiempos de crisis
title_sort Proceso heurístico de toma de decisiones estratégicas relacionadas con innovación en tiempos de crisis
dc.subject.none.fl_str_mv Decisiones estratégicas
Innovación
Crisis
Framework
Proceso heurístico
topic Decisiones estratégicas
Innovación
Crisis
Framework
Proceso heurístico
Strategic decisions
Innovation
Crisis
Framework
Heuristic process
dc.subject.keyword.none.fl_str_mv Strategic decisions
Innovation
Crisis
Framework
Heuristic process
description Distintas investigaciones han avanzado en la exploración de las decisiones que las empresas han tomado e implementado para hacer frente a la crisis socio-económica generada por la pandemia de covid-19. Sin embargo, poco han examinado sobre un asunto clave, el proceso de toma de decisiones en dicho contexto. A través del estudio de 22 organizaciones de los sectores industria, comercio y servicios, la presente investigación desarrolló un framework teórico para entender cómo es el proceso de toma de decisiones relacionadas con innovación en contextos de crisis al interior de las organizaciones: proceso heurístico decisorio. En este, varios de los pasos del proceso de toma de decisiones se desarrollan en sincronía con otros, y de manera ágil, simultánea, iterativa, con información incompleta y bajo un entorno de alta incertidumbre. Los hallazgos del framework desarrollado contribuyen a las investigaciones sobre organizational y naturalistic decisión making; específicamente esta investigación ofrece un lente teórico actual sobre cómo en las organizaciones se toman decisiones relacionadas con innovación en tiempos de crisis.
publishDate 2023
dc.date.accessioned.none.fl_str_mv 2023-06-06T16:48:34Z
dc.date.available.none.fl_str_mv 2023-06-06T16:48:34Z
dc.date.created.none.fl_str_mv 2023-06-06
dc.type.none.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.none.fl_str_mv Artículo
dc.identifier.issn.none.fl_str_mv 2463-1892
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/39444
identifier_str_mv 2463-1892
url https://repository.urosario.edu.co/handle/10336/39444
dc.language.iso.none.fl_str_mv spa
language spa
dc.rights.*.fl_str_mv Attribution-NonCommercial-ShareAlike 4.0 International
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.none.fl_str_mv Abierto (Texto Completo)
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
rights_invalid_str_mv Attribution-NonCommercial-ShareAlike 4.0 International
Abierto (Texto Completo)
http://creativecommons.org/licenses/by-nc-sa/4.0/
http://purl.org/coar/access_right/c_abf2
dc.format.extent.none.fl_str_mv 38 pp
dc.format.mimetype.none.fl_str_mv application/pdf
dc.format.tipo.spa.fl_str_mv Documento
dc.publisher.spa.fl_str_mv Universidad del Rosario
institution Universidad del Rosario
dc.source.bibliographicCitation.none.fl_str_mv Abdulrahman, M. D.-A., Subramanian, N., Liu, C., & Shu, C. (2015). Viability of remanufacturing practice: A strategic decision making framework for Chinese auto-parts companies. Journal of Cleaner Production, 105, 311-323. https://doi.org/10.1016/j.jclepro.2014.02.065
Aguinis, H., Ramani, R. S., & Alabduljader, N. (2018). What you see is what you get? Enhancing methodological transparency in management research. Academy of Management Annals, 12(1), 83-110. https://doi. org/10.5465/annals.2016.0011
Arendt, L. A., Priem, R. L., & Ndofor, H. A. (2005). A ceo-Adviser model of strategic decision making. Journal of Management, 31(5), 680-699. https://doi.org/10.1177/0149206305279054
Bechara, A. (2004). The role of emotion in decision-making: Evidence from neurological patients with orbitofrontal damage. Brain and Cognition, 55(1), 30-40. https://doi.org/10.1016/j.bandc.2003.04.001
Berthon, P., Nairn, A., & Money, A. (2003). Through the paradigm funnel: A conceptual tool for literature analysis. Marketing Education Review, 13(2), 55-66. https://doi.org/10.1080/10528008.2003.11488830
Boulding, W., Moore, M. C., Staelin, R., Corfman, K. P., Dickson, P. R., Fitzsimons, G., Gupta, S., Lehmann, D. R., Mitchell, D. J., Urbany, J. E., & Weitz, B. A. (1994). Understanding managers’ strategic decision- making process. Marketing Letters, 5(4), 413-426. https://doi. org/10.1007/BF00999214
Bricka, T. M., He, Y., & Schroeder, A. N. (2022). Difficult times, difficult decisions: Examining the impact of perceived crisis response strategies during covid-19. Journal of Business and Psychology, 1-21. https://doi. org/10.1007/s10869-022-09851-x
Capelo, C., & Dias, J. F. (2009). A feedback learning and mental models perspective on strategic decision making. Educational Technology Research and Development, 57(5), 629-644. https://doi.org/10.1007/ s11423-009-9123-z
Cohen, M. D., March, J. G., & Olsen, J. P. (1972). A garbage can model of organizational choice. Administrative Science Quarterly, 17(1), 1-25. https://doi.org/10.2307/2392088
Denzin, N. K. (1978). The research act: A theoretical introduction to sociological methods. McGraw-Hill.
Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, 48, 63-71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021
Eisenhardt, K. (1989). Building theories from case study research. The Academy of Management Review, 14(4), 532-550. https://doi. org/10.2307/258557
Eisenhardt, K. (2021). What is the Eisenhardt method, really? Strategic Organization, 19(1), 147-160. https://doi.org/10.1177/1476127020982866
Eisenhardt, K., & Graebner, M. (2007). Theory building from cases: Opportunities and challenges. Academy of Management Journal, 50(1), 25-32. https://doi.org/10.5465/amj.2007.24160888
Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: A literature review. Journal of Cleaner Production, 98, 66-83. https://doi.org/10.1016/j.jclepro.2013.06.046
Grigoriev, S. (2022). Reason, language, history: Pragmatism’s contested promise. Metaphilosophy, 53(4), 431-445. https://doi.org/10.1111/ meta.12575
Haddaway, N. R., Grainger, M. J., & Gray, C. T. (2022). Citationchaser: A tool for transparent and efficient forward and backward citation chasing in systematic searching. Research Synthesis Methods, 13(4), 533-545. https://doi.org/10.1002/jrsm.1563
Häubl, G., & Trifts, V. (2000). Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing Science, 19(1), 4-21. https://doi.org/10.1287/mksc.19.1.4.15178
Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202(1), 16-24. https://doi. org/10.1016/j.ejor.2009.05.009
Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577-586. https://doi.org/10.1016/j.bushor.2018.03.007
Jick, T. D. (1979). Mixing qualitative and quantitative methods: Triangulation in action. Administrative Science Quarterly, 24(4), 602-611. https:// doi.org/10.2307/2392366
Langley, A. (1999). Strategies for theorizing from process data. Academy of Management Review, 24(4), 691-710. https://doi.org/10.2307/259349
Langley, A., Smallman, C., Tsoukas, H., & Van de Ven, A. H. (2013). Process studies of change in organization and management: Unveiling temporality, activity, and flow. Academy of Management Journal, 56(1), 1-13. https://doi.org/10.5465/amj.2013.4001
Liberman-Yaconi, L., Hooper, T., & Hutchings, K. (2010). Toward a model of understanding strategic decision-making in micro-firms: Exploring the Australian information technology sector. Journal of Small Business Management, 48(1), 70-95. https://doi.org/10.1111/j.1540- 627X.2009.00287.x
Lipshitz, R., Klein, G., Orasanu, J., & Salas, E. (2001). Taking stock of naturalistic decision making. Journal of Behavioral Decision Making, 14(5), 331-352. https://doi.org/10.1002/bdm.381
Lyles, M. A., & Thomas, H. (1988). Strategic problem formulation: Biases and assumptions embedded in alternative decision-making models. Journal of Management Studies, 25(2), 131-145. https://doi. org/10.1111/j.1467-6486.1988.tb00028.x
Lyon, D. W., Lumpkin, G. T., & Dess, G. G. (2000). Enhancing entrepreneurial orientation research: Operationalizing and measuring a key strategic decision-making process. Journal of Management, 26(5), 1055-1085. https://doi.org/10.1177/014920630002600503
McDonald, R. M., & Eisenhardt, K. M. (2020). Parallel Play: Startups, nascent markets, and effective business-model design. Administrative Science Quarterly, 65(2), 483-523. https://doi.org/10.1177/0001839219852349
Miles, M., Huberman, A., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook. sage.
Patton, M. (2002). Qualitative research and evaluation methods. sage.
Patton, M. (2014). Qualitative research and evaluation methods. sage.
Rahman, N., & De Feis, G. L. (2009). Strategic decision-making: Models and methods in the face of complexity and time pressure. Journal of General Management, 35(2), 43-59. https://doi.org/10.1177/030630700903500204
Roulston, K. (2010). Reflective interviewing: A guide to theory and practice. sage.
Rubin, H., & Rubin, I. (2005). Qualitative interviewing. sage.
Samuelson, W., & Zeckhauser, R. (1988). Status quo bias in decision making. Journal of Risk and Uncertainty, 1(1), 7-59. https://doi.org/10.1007/ BF00055564
Silverman, D. (2018). Doing qualitative research. sage.
Singh, N. P., & Singh, S. (2019). Building supply chain risk resilience: Role of big data analytics in supply chain disruption mitigation. Benchmarking, 26(7), 2318-2342. https://doi.org/10.1108/BIJ-10-2018-0346
Wu, Z., & Pagell, M. (2011). Balancing priorities: Decision-making in sustainable supply chain management. Journal of Operations Management, 29(6), 577-590. https://doi.org/10.1016/j.jom.2010.10.001
Xia, D., Yu, Q., Gao, Q., & Cheng, G. (2017). Sustainable technology selection decision-making model for enterprise in supply chain: Based on a modified strategic balanced scorecard. Journal of Cleaner Production, 141, 1337-1348. https://doi.org/10.1016/j.jclepro.2016.09.083
Zavadskas, E. K., & Turskis, Z. (2011). Multiple criteria decision making (mcdm) methods in economics: An overview. Technological and Economic Development of Economy, 17(2), 397-427. https://doi.org/10.38 46/20294913.2011.593291
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
bitstream.url.fl_str_mv https://repository.urosario.edu.co/bitstreams/18124f7e-3e5a-4db3-86be-5abf1af120ae/download
https://repository.urosario.edu.co/bitstreams/552f9b74-9a2c-43ae-bc56-1f5f31e55502/download
https://repository.urosario.edu.co/bitstreams/69fc5b4b-7349-4c57-8831-9055b87842e4/download
https://repository.urosario.edu.co/bitstreams/62c2d9d0-aaed-408f-a346-b12d890738bc/download
https://repository.urosario.edu.co/bitstreams/59307397-2176-4bc4-91cf-0c85823b8557/download
bitstream.checksum.fl_str_mv d36ed34bb02be9cd632db848c7d62a10
b2825df9f458e9d5d96ee8b7cd74fde6
5643bfd9bcf29d560eeec56d584edaa9
1c02f8c52aa6045b5fa3bc3f2952b06b
7a022a8b187b49717c5b06e33f6c5849
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
_version_ 1814167601917460480
spelling 106947350060028acbcb1-8ddc-4ff1-b20d-32564a272cd9-12023-06-06T16:48:34Z2023-06-06T16:48:34Z2023-06-06Distintas investigaciones han avanzado en la exploración de las decisiones que las empresas han tomado e implementado para hacer frente a la crisis socio-económica generada por la pandemia de covid-19. Sin embargo, poco han examinado sobre un asunto clave, el proceso de toma de decisiones en dicho contexto. A través del estudio de 22 organizaciones de los sectores industria, comercio y servicios, la presente investigación desarrolló un framework teórico para entender cómo es el proceso de toma de decisiones relacionadas con innovación en contextos de crisis al interior de las organizaciones: proceso heurístico decisorio. En este, varios de los pasos del proceso de toma de decisiones se desarrollan en sincronía con otros, y de manera ágil, simultánea, iterativa, con información incompleta y bajo un entorno de alta incertidumbre. Los hallazgos del framework desarrollado contribuyen a las investigaciones sobre organizational y naturalistic decisión making; específicamente esta investigación ofrece un lente teórico actual sobre cómo en las organizaciones se toman decisiones relacionadas con innovación en tiempos de crisis.Different investigations have advanced in exploring the decisions that companies have taken and implemented to deal with the crisis socio-economic generated by the covid-19 pandemic. However, little has been examined on a key issue, the decision-making process in that context. Through the study of 22 organizations from the industry, commerce and services sectors, this research developed a theoretical framework to understand what the decision-making process related to innovation is like in crisis contexts within organizations: decision-making heuristic process. In this, several of the steps of the decision-making process are developed in synchrony with others, and in an agile, simultaneous, iterative manner, with incomplete information and under an environment of high uncertainty. The findings of the developed framework contribute to research on organizational and naturalistic decision making; Specifically, this research offers a current theoretical lens on how decisions related to innovation are made in organizations in times of crisis.38 ppapplication/pdfDocumento2463-1892https://repository.urosario.edu.co/handle/10336/39444spaUniversidad del RosarioAttribution-NonCommercial-ShareAlike 4.0 InternationalAbierto (Texto Completo)http://creativecommons.org/licenses/by-nc-sa/4.0/http://purl.org/coar/access_right/c_abf2Abdulrahman, M. D.-A., Subramanian, N., Liu, C., & Shu, C. (2015). Viability of remanufacturing practice: A strategic decision making framework for Chinese auto-parts companies. Journal of Cleaner Production, 105, 311-323. https://doi.org/10.1016/j.jclepro.2014.02.065Aguinis, H., Ramani, R. S., & Alabduljader, N. (2018). What you see is what you get? Enhancing methodological transparency in management research. Academy of Management Annals, 12(1), 83-110. https://doi. org/10.5465/annals.2016.0011Arendt, L. A., Priem, R. L., & Ndofor, H. A. (2005). A ceo-Adviser model of strategic decision making. Journal of Management, 31(5), 680-699. https://doi.org/10.1177/0149206305279054Bechara, A. (2004). The role of emotion in decision-making: Evidence from neurological patients with orbitofrontal damage. Brain and Cognition, 55(1), 30-40. https://doi.org/10.1016/j.bandc.2003.04.001Berthon, P., Nairn, A., & Money, A. (2003). Through the paradigm funnel: A conceptual tool for literature analysis. Marketing Education Review, 13(2), 55-66. https://doi.org/10.1080/10528008.2003.11488830Boulding, W., Moore, M. C., Staelin, R., Corfman, K. P., Dickson, P. R., Fitzsimons, G., Gupta, S., Lehmann, D. R., Mitchell, D. J., Urbany, J. E., & Weitz, B. A. (1994). Understanding managers’ strategic decision- making process. Marketing Letters, 5(4), 413-426. https://doi. org/10.1007/BF00999214Bricka, T. M., He, Y., & Schroeder, A. N. (2022). Difficult times, difficult decisions: Examining the impact of perceived crisis response strategies during covid-19. Journal of Business and Psychology, 1-21. https://doi. org/10.1007/s10869-022-09851-xCapelo, C., & Dias, J. F. (2009). A feedback learning and mental models perspective on strategic decision making. Educational Technology Research and Development, 57(5), 629-644. https://doi.org/10.1007/ s11423-009-9123-zCohen, M. D., March, J. G., & Olsen, J. P. (1972). A garbage can model of organizational choice. Administrative Science Quarterly, 17(1), 1-25. https://doi.org/10.2307/2392088Denzin, N. K. (1978). The research act: A theoretical introduction to sociological methods. McGraw-Hill.Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of Big Data – evolution, challenges and research agenda. International Journal of Information Management, 48, 63-71. https://doi.org/10.1016/j.ijinfomgt.2019.01.021Eisenhardt, K. (1989). Building theories from case study research. The Academy of Management Review, 14(4), 532-550. https://doi. org/10.2307/258557Eisenhardt, K. (2021). What is the Eisenhardt method, really? Strategic Organization, 19(1), 147-160. https://doi.org/10.1177/1476127020982866Eisenhardt, K., & Graebner, M. (2007). Theory building from cases: Opportunities and challenges. Academy of Management Journal, 50(1), 25-32. https://doi.org/10.5465/amj.2007.24160888Govindan, K., Rajendran, S., Sarkis, J., & Murugesan, P. (2015). Multi criteria decision making approaches for green supplier evaluation and selection: A literature review. Journal of Cleaner Production, 98, 66-83. https://doi.org/10.1016/j.jclepro.2013.06.046Grigoriev, S. (2022). Reason, language, history: Pragmatism’s contested promise. Metaphilosophy, 53(4), 431-445. https://doi.org/10.1111/ meta.12575Haddaway, N. R., Grainger, M. J., & Gray, C. T. (2022). Citationchaser: A tool for transparent and efficient forward and backward citation chasing in systematic searching. Research Synthesis Methods, 13(4), 533-545. https://doi.org/10.1002/jrsm.1563Häubl, G., & Trifts, V. (2000). Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing Science, 19(1), 4-21. https://doi.org/10.1287/mksc.19.1.4.15178Ho, W., Xu, X., & Dey, P. K. (2010). Multi-criteria decision making approaches for supplier evaluation and selection: A literature review. European Journal of Operational Research, 202(1), 16-24. https://doi. org/10.1016/j.ejor.2009.05.009Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577-586. https://doi.org/10.1016/j.bushor.2018.03.007Jick, T. D. (1979). Mixing qualitative and quantitative methods: Triangulation in action. Administrative Science Quarterly, 24(4), 602-611. https:// doi.org/10.2307/2392366Langley, A. (1999). Strategies for theorizing from process data. Academy of Management Review, 24(4), 691-710. https://doi.org/10.2307/259349Langley, A., Smallman, C., Tsoukas, H., & Van de Ven, A. H. (2013). Process studies of change in organization and management: Unveiling temporality, activity, and flow. Academy of Management Journal, 56(1), 1-13. https://doi.org/10.5465/amj.2013.4001Liberman-Yaconi, L., Hooper, T., & Hutchings, K. (2010). Toward a model of understanding strategic decision-making in micro-firms: Exploring the Australian information technology sector. Journal of Small Business Management, 48(1), 70-95. https://doi.org/10.1111/j.1540- 627X.2009.00287.xLipshitz, R., Klein, G., Orasanu, J., & Salas, E. (2001). Taking stock of naturalistic decision making. Journal of Behavioral Decision Making, 14(5), 331-352. https://doi.org/10.1002/bdm.381Lyles, M. A., & Thomas, H. (1988). Strategic problem formulation: Biases and assumptions embedded in alternative decision-making models. Journal of Management Studies, 25(2), 131-145. https://doi. org/10.1111/j.1467-6486.1988.tb00028.xLyon, D. W., Lumpkin, G. T., & Dess, G. G. (2000). Enhancing entrepreneurial orientation research: Operationalizing and measuring a key strategic decision-making process. Journal of Management, 26(5), 1055-1085. https://doi.org/10.1177/014920630002600503McDonald, R. M., & Eisenhardt, K. M. (2020). Parallel Play: Startups, nascent markets, and effective business-model design. Administrative Science Quarterly, 65(2), 483-523. https://doi.org/10.1177/0001839219852349Miles, M., Huberman, A., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook. sage.Patton, M. (2002). Qualitative research and evaluation methods. sage.Patton, M. (2014). Qualitative research and evaluation methods. sage.Rahman, N., & De Feis, G. L. (2009). Strategic decision-making: Models and methods in the face of complexity and time pressure. Journal of General Management, 35(2), 43-59. https://doi.org/10.1177/030630700903500204Roulston, K. (2010). Reflective interviewing: A guide to theory and practice. sage.Rubin, H., & Rubin, I. (2005). Qualitative interviewing. sage.Samuelson, W., & Zeckhauser, R. (1988). Status quo bias in decision making. Journal of Risk and Uncertainty, 1(1), 7-59. https://doi.org/10.1007/ BF00055564Silverman, D. (2018). Doing qualitative research. sage.Singh, N. P., & Singh, S. (2019). Building supply chain risk resilience: Role of big data analytics in supply chain disruption mitigation. Benchmarking, 26(7), 2318-2342. https://doi.org/10.1108/BIJ-10-2018-0346Wu, Z., & Pagell, M. (2011). Balancing priorities: Decision-making in sustainable supply chain management. Journal of Operations Management, 29(6), 577-590. https://doi.org/10.1016/j.jom.2010.10.001Xia, D., Yu, Q., Gao, Q., & Cheng, G. (2017). Sustainable technology selection decision-making model for enterprise in supply chain: Based on a modified strategic balanced scorecard. Journal of Cleaner Production, 141, 1337-1348. https://doi.org/10.1016/j.jclepro.2016.09.083Zavadskas, E. K., & Turskis, Z. (2011). Multiple criteria decision making (mcdm) methods in economics: An overview. Technological and Economic Development of Economy, 17(2), 397-427. https://doi.org/10.38 46/20294913.2011.593291instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURDecisiones estratégicasInnovaciónCrisisFrameworkProceso heurísticoStrategic decisionsInnovationCrisisFrameworkHeuristic processProceso heurístico de toma de decisiones estratégicas relacionadas con innovación en tiempos de crisisarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Montes de la Barrera, José OrlandoSánchez, Sergio DanielORIGINALProceso-heuristico-de-toma-de-decisiones-BI-161.pdfProceso-heuristico-de-toma-de-decisiones-BI-161.pdfapplication/pdf618817https://repository.urosario.edu.co/bitstreams/18124f7e-3e5a-4db3-86be-5abf1af120ae/downloadd36ed34bb02be9cd632db848c7d62a10MD51LICENSElicense.txtlicense.txttext/plain1483https://repository.urosario.edu.co/bitstreams/552f9b74-9a2c-43ae-bc56-1f5f31e55502/downloadb2825df9f458e9d5d96ee8b7cd74fde6MD52CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81160https://repository.urosario.edu.co/bitstreams/69fc5b4b-7349-4c57-8831-9055b87842e4/download5643bfd9bcf29d560eeec56d584edaa9MD53TEXTProceso-heuristico-de-toma-de-decisiones-BI-161.pdf.txtProceso-heuristico-de-toma-de-decisiones-BI-161.pdf.txtExtracted texttext/plain63984https://repository.urosario.edu.co/bitstreams/62c2d9d0-aaed-408f-a346-b12d890738bc/download1c02f8c52aa6045b5fa3bc3f2952b06bMD54THUMBNAILProceso-heuristico-de-toma-de-decisiones-BI-161.pdf.jpgProceso-heuristico-de-toma-de-decisiones-BI-161.pdf.jpgGenerated Thumbnailimage/jpeg3612https://repository.urosario.edu.co/bitstreams/59307397-2176-4bc4-91cf-0c85823b8557/download7a022a8b187b49717c5b06e33f6c5849MD5510336/39444oai:repository.urosario.edu.co:10336/394442023-10-19 15:16:11.537http://creativecommons.org/licenses/by-nc-sa/4.0/Attribution-NonCommercial-ShareAlike 4.0 Internationalhttps://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.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

Publicaciones similares