Purchase Behavior by Region in Distributor Channel in Colombia

Objective: The article analyzes the purchasing behavior of the distributor channel by region, taking into account the sales volume and the sizing curve. Theoretical Framework: The concepts of the distributor channel and the sizing curve are addressed, in the context of the fashion industry. Method:...

Full description

Autores:: Contreras-Velásquez, Julio César
Velez Saldarriaga, Gloria Liliana
Riaño-Garzón, Manuel
Londoño, José Albán
Rodríguez-Díaz, Angelica-Maria
García, Jorge
González Parias, Carlos Hernán

Tipo de recurso:

Fecha de publicación:: 2024

Institución:: Universidad Simón Bolívar

Repositorio:: Repositorio Digital USB

Idioma:: eng

id	USIMONBOL2_b100cc86cf06d6fa18efb1037e11d0db
oai_identifier_str	oai:bonga.unisimon.edu.co:20.500.12442/16240
network_acronym_str	USIMONBOL2
network_name_str	Repositorio Digital USB
repository_id_str
dc.title.eng.fl_str_mv	Purchase Behavior by Region in Distributor Channel in Colombia
dc.title.translated.spa.fl_str_mv	Comportamiento de compra por región en canal distribidor en Colombia
dc.title.translated.por.fl_str_mv	Comportamento de compra por região no canal distribuidor na Colômbia
title	Purchase Behavior by Region in Distributor Channel in Colombia
spellingShingle	Purchase Behavior by Region in Distributor Channel in Colombia Canal Distribuidores Industria de Moda Curva de tallaje Prendas de vestir Planeación de demanda Distributor Channel Sizing Curve Fashion Industry Apparels Demand Planning Planejamento de demanda Curva de Dimensionamento Indústria da Moda
title_short	Purchase Behavior by Region in Distributor Channel in Colombia
title_full	Purchase Behavior by Region in Distributor Channel in Colombia
title_fullStr	Purchase Behavior by Region in Distributor Channel in Colombia
title_full_unstemmed	Purchase Behavior by Region in Distributor Channel in Colombia
title_sort	Purchase Behavior by Region in Distributor Channel in Colombia
dc.creator.fl_str_mv	Contreras-Velásquez, Julio César Velez Saldarriaga, Gloria Liliana Riaño-Garzón, Manuel Londoño, José Albán Rodríguez-Díaz, Angelica-Maria García, Jorge González Parias, Carlos Hernán
dc.contributor.author.none.fl_str_mv	Contreras-Velásquez, Julio César Velez Saldarriaga, Gloria Liliana Riaño-Garzón, Manuel Londoño, José Albán Rodríguez-Díaz, Angelica-Maria García, Jorge González Parias, Carlos Hernán
dc.subject.spa.fl_str_mv	Canal Distribuidores Industria de Moda Curva de tallaje Prendas de vestir Planeación de demanda
topic	Canal Distribuidores Industria de Moda Curva de tallaje Prendas de vestir Planeación de demanda Distributor Channel Sizing Curve Fashion Industry Apparels Demand Planning Planejamento de demanda Curva de Dimensionamento Indústria da Moda
dc.subject.keywords.eng.fl_str_mv	Distributor Channel Sizing Curve Fashion Industry Apparels Demand Planning
dc.subject.keywords.por.fl_str_mv	Planejamento de demanda Curva de Dimensionamento Indústria da Moda
description	Objective: The article analyzes the purchasing behavior of the distributor channel by region, taking into account the sales volume and the sizing curve. Theoretical Framework: The concepts of the distributor channel and the sizing curve are addressed, in the context of the fashion industry. Method: The data comes from purchases between 2018 and 2019 of 685 distributors of women's push up jeans from the company Organization Bless located in 28 departments of Colombia. The information on the sizing curve is taken from orders placed for 245 different references marketed in the study period. Georeferencing technique is used to locate distributors by purchase volume on a geographic level, likewise, descriptive statistics are used to analyze purchasing behavior by size by region. Results and Discussion: The majority of warehouses in the distribution channel and the purchase volume are concentrated in the Southwest region of Colombia. A greater consumption of small sizes is evident in the central region of the country, compared to the other regions, while in the Northwestern region its proportion decreases compared to the others. Research Implications: The results serve as a basis for companies that market their fashion products in the distributor channel, to take into account the purchase volume, as well as demand planning in the sizing curve that adapts to each region. Originality/Value: The study is carried out in an emerging market such as Colombia, a benchmark in the fashion industry in Latin America. Likewise, the product analyzed is the push up pants, which is characterized by its high demand in the Latin market.
publishDate	2024
dc.date.issued.none.fl_str_mv	2024
dc.date.accessioned.none.fl_str_mv	2025-02-07T19:28:13Z
dc.date.available.none.fl_str_mv	2025-02-07T19:28:13Z
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_2df8fbb1
dc.type.driver.none.fl_str_mv	info:eu-repo/semantics/article
dc.type.spa.none.fl_str_mv	Artículo científico
dc.identifier.citation.eng.fl_str_mv	Contreras-Velásquez, J. C., Saldarriaga, G. L. V., Riaño-Garzon, M., Arias, J. A. L., Rodríguez-Díaz, A.-M., García-Navarro, J. I., & Parias, C. H. G. (2024). Purchase Behavior by Region in Distributor Channel in Colombia. Revista De Gestão Social E Ambiental, 18(10), e08709. https://doi.org/10.24857/rgsa.v18n10-017
dc.identifier.issn.none.fl_str_mv	1981982X
dc.identifier.uri.none.fl_str_mv	https://hdl.handle.net/20.500.12442/16240
dc.identifier.doi.none.fl_str_mv	https://doi.org/10.24857/rgsa.v18n10-017
identifier_str_mv	Contreras-Velásquez, J. C., Saldarriaga, G. L. V., Riaño-Garzon, M., Arias, J. A. L., Rodríguez-Díaz, A.-M., García-Navarro, J. I., & Parias, C. H. G. (2024). Purchase Behavior by Region in Distributor Channel in Colombia. Revista De Gestão Social E Ambiental, 18(10), e08709. https://doi.org/10.24857/rgsa.v18n10-017 1981982X
url	https://hdl.handle.net/20.500.12442/16240 https://doi.org/10.24857/rgsa.v18n10-017
dc.language.iso.none.fl_str_mv	eng
language	eng
dc.rights.eng.fl_str_mv	Attribution-NonCommercial-NoDerivs 3.0 United States
dc.rights.coar.fl_str_mv	http://purl.org/coar/access_right/c_abf2
dc.rights.uri.none.fl_str_mv	http://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.rights.accessrights.none.fl_str_mv	info:eu-repo/semantics/openAccess
rights_invalid_str_mv	Attribution-NonCommercial-NoDerivs 3.0 United States http://creativecommons.org/licenses/by-nc-nd/3.0/us/ http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv	openAccess
dc.format.mimetype.none.fl_str_mv	pdf
dc.publisher.por.fl_str_mv	ANPAD - Associacao Nacional de Pos-Graduacao e Pesquisa em Administracao
dc.source.por.fl_str_mv	Revista de Gestão Social e Ambiental
dc.source.spa.fl_str_mv	Vol. 18 No. 10 (2024)
institution	Universidad Simón Bolívar
bitstream.url.fl_str_mv	https://bonga.unisimon.edu.co/bitstreams/6cd9ab60-a257-4f47-a846-75648e0e6763/download https://bonga.unisimon.edu.co/bitstreams/b3bbf2a2-586f-4310-a2cc-e38095d2be05/download https://bonga.unisimon.edu.co/bitstreams/dcdef7f1-71f5-4ea2-808b-f64fa6fdacb6/download https://bonga.unisimon.edu.co/bitstreams/065b4102-e3b9-4384-bb24-717c05fbf8fd/download https://bonga.unisimon.edu.co/bitstreams/5d057f99-1772-49d4-8a92-caf6ee64aa3b/download
bitstream.checksum.fl_str_mv	b5e54a3a9b3a15335e82ec4ee1dba575 733bec43a0bf5ade4d97db708e29b185 2f656a26de8af8c32aaacd5e2a33538c b46faf70138196716ed2dfc6819accb0 15c8f85d10f3e7d293675d986df49714
bitstream.checksumAlgorithm.fl_str_mv	MD5 MD5 MD5 MD5 MD5
repository.name.fl_str_mv	Repositorio Digital Universidad Simón Bolívar
repository.mail.fl_str_mv	repositorio.digital@unisimon.edu.co
_version_	1834107409582260224
spelling	Contreras-Velásquez, Julio Césarc3274dcb-eed2-4287-a96a-f46a86bf1675600Velez Saldarriaga, Gloria Lilianadd756549-dd0f-42ce-9148-751e7a9a4c31600Riaño-Garzón, Manuel69b954a5-b185-421f-b175-61e4d50650e6600Londoño, José Albán4923df33-2229-4876-b33b-d5b0174e203d600Rodríguez-Díaz, Angelica-Maria 4a119913-8912-4c2f-bc1c-9745d607266a600García, Jorge39b9292c-d638-4895-9fbe-95cc94a61bf6600González Parias, Carlos Hernán24c3be9a-364d-4a48-8210-c4598bb9ca666002025-02-07T19:28:13Z2025-02-07T19:28:13Z2024Contreras-Velásquez, J. C., Saldarriaga, G. L. V., Riaño-Garzon, M., Arias, J. A. L., Rodríguez-Díaz, A.-M., García-Navarro, J. I., & Parias, C. H. G. (2024). Purchase Behavior by Region in Distributor Channel in Colombia. Revista De Gestão Social E Ambiental, 18(10), e08709. https://doi.org/10.24857/rgsa.v18n10-0171981982Xhttps://hdl.handle.net/20.500.12442/16240https://doi.org/10.24857/rgsa.v18n10-017Objective: The article analyzes the purchasing behavior of the distributor channel by region, taking into account the sales volume and the sizing curve. Theoretical Framework: The concepts of the distributor channel and the sizing curve are addressed, in the context of the fashion industry. Method: The data comes from purchases between 2018 and 2019 of 685 distributors of women's push up jeans from the company Organization Bless located in 28 departments of Colombia. The information on the sizing curve is taken from orders placed for 245 different references marketed in the study period. Georeferencing technique is used to locate distributors by purchase volume on a geographic level, likewise, descriptive statistics are used to analyze purchasing behavior by size by region. Results and Discussion: The majority of warehouses in the distribution channel and the purchase volume are concentrated in the Southwest region of Colombia. A greater consumption of small sizes is evident in the central region of the country, compared to the other regions, while in the Northwestern region its proportion decreases compared to the others. Research Implications: The results serve as a basis for companies that market their fashion products in the distributor channel, to take into account the purchase volume, as well as demand planning in the sizing curve that adapts to each region. Originality/Value: The study is carried out in an emerging market such as Colombia, a benchmark in the fashion industry in Latin America. Likewise, the product analyzed is the push up pants, which is characterized by its high demand in the Latin market.Objetivo: El artículo analiza el comportamiento de compra del canal distribuidores por región, teniendo en cuenta el volumen de ventas y la curva de tallaje. Marco Teórico: Se abordan los conceptos de canal de distribuidores y la curva de tallaje, en el contexto de la industria de la moda. Método: Los datos provienen de las compras entre el año 2018 y 2019 de 685 distribuidores de jeans levanta cola para mujer de la empresa Organización Bless localizados en 28 departamentos de Colombia. La información de la curva de tallaje es tomada de pedidos realizados de 245 referencias diferentes comercializados en el periodo de estudio. Se utiliza técnica de georreferenciación para ubicar los distribuidores por volumen de compra en un plano geográfico, así mismo, se utilizan estadísticos descriptivos para analizar el comportamiento de compra por talla por región. Resultados y Discusión: La mayoría de almacenes del canal distribuidor y el volumen de compra están concentrados en la región Suroeste de Colombia. Se evidencia en la región del centro del país un mayor consumo de tallas pequeñas, frente a las demás regiones, mientras que en la región Noroccidental disminuye su proporción frente a las demás. Implicaciones de la investigación: Los resultados sirven de base a empresas que comercialicen sus productos de moda en el canal de distribuidores, para tener en cuenta el volumen de compra, así como la planeación de demanda en la curva de tallaje que se adapte a cada región. Originalidad/Valor: El estudio se realiza en un mercado emergente como Colombia, referente en la industria de la moda en América de Latina, así mismo, el producto que se analiza es el pantalón levanta cola que se caracteriza por su alta demanda en el mercado latino.Objetivo: O artigo analisa o comportamento de compra do canal distribuidor por região, levando em consideração o volume de vendas e a curva de dimensionamento. Referencial Teórico: São abordados os conceitos de canal distribuidor e curva de dimensionamento, no contexto da indústria da moda. Método: Os dados são provenientes de compras entre 2018 e 2019 de 685 distribuidores de push up jeans femininos da empresa Organização Bless localizada em 28 departamentos da Colômbia. A informação da curva de dimensionamento é retirada de encomendas realizadas para 245 referências diferentes comercializadas no período de estudo. A técnica de georreferenciamento é utilizada para localizar distribuidores por volume de compras em nível geográfico, da mesma forma, estatísticas descritivas são utilizadas para analisar o comportamento de compra por tamanho por região. Resultados e Discussão: A maior parte dos armazéns do canal de distribuição e do volume de compras estão concentrados na região Sudoeste da Colômbia. Evidencia-se um maior consumo de tamanhos pequenos na região centro do país, em comparação com as demais regiões, enquanto na região Noroeste sua proporção diminui em relação às demais. Implicações da Pesquisa: O estudo é realizado em um mercado emergente como a Colômbia, referência na indústria da moda na América Latina. Da mesma forma, o produto analisado são as calças push up, demandadas pela população latina. Originalidade/Valor: O estudo é realizado em um mercado emergente como a Colômbia, referência na indústria da moda na América Latina. Da mesma forma, o produto analisado é a calça push up, que se caracteriza por sua alta demanda no mercado latino.pdfengANPAD - Associacao Nacional de Pos-Graduacao e Pesquisa em AdministracaoAttribution-NonCommercial-NoDerivs 3.0 United Stateshttp://creativecommons.org/licenses/by-nc-nd/3.0/us/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Revista de Gestão Social e AmbientalVol. 18 No. 10 (2024)Canal DistribuidoresIndustria de ModaCurva de tallajePrendas de vestirPlaneación de demandaDistributor ChannelSizing CurveFashion IndustryApparelsDemand PlanningPlanejamento de demandaCurva de DimensionamentoIndústria da ModaPurchase Behavior by Region in Distributor Channel in ColombiaComportamiento de compra por región en canal distribidor en ColombiaComportamento de compra por região no canal distribuidor na Colômbiainfo:eu-repo/semantics/articleArtículo científicohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_2df8fbb1Bruce, M., Daly, L., & Towers, N. (2004). Lean or agile: a solution for supply chain management in the textiles and clothing industry?. International journal of operations & production management. DOI: https://doi.org/10.1108/01443570410514867Castrogiovani, G.J., Justis, R.T., 1998. Franchising conﬁgurations and transitions. Journal of Consumer Marketing 15 (2), 170–190. DOI: https://doi.org/10.1108/07363769810210377de Matos, M. L. R., Nobre, L. H. N., de Souza Galvão, L. G., & Nobre, F. C. (2023). Relationships between consumer engagement and purchase intention of ecological products. Revista De Gestão Social E Ambiental, 17(1), e3072-e3072. DOI: https://doi.org/10.24857/rgsa.v76n1-008Doyle, S.A., Moore, C.M. & Morgan, L. (2006). Supplier management in fast moving fashion retailing. Journal of Fashion Marketing & Management, 10 (3), 272-281. DOI: https://doi.org/10.1108/13612020610679268Eccles, L. (2011). Why most women can only dream of perfect jeans: Two-thirds can’t find pair that fit. Mail Online. Consultado en http://www.dailymail.co.uk/news/article-1349501/Why-women-dream-perfect-jeans-Two-thirds-pair-fit.htmlFashionUnited (2020). Global fashion industry statistics. Consultado en: https://fashionunited.com/global-fashion-industry-statistics/Fernie, J. & Sparks, L. (Eds) (1998), Logistics and Retail Management, Insights Into Current Practice and Trends From Leading Experts. Kogan Page Ltd, London.Fits.me. (2012). The problem. Consultado en http://fits.me/content/problemGribbin, E. A. (2014). Body shape and its influence on apparel size and consumer choices. In Designing apparel for consumers (pp. 3-16). Woodhead Publishing. DOI: https://doi.org/10.1533/9781782422150.1.3Kai, F. O., Fabricio, A. C. B., Miranda, H. B. D., & de Souza Martins, S. C. (2022). Upcycling Process: Consumer and Organization Perception. Revista De Gestão Social E Ambiental, 16(1), e02881-e02881. DOI: https://doi.org/10.24857/rgsa.v16.2881Ketchen Jr, D. J., & Giunipero, L. C. (2004). The intersection of strategic management and supply chain management. Industrial marketing management, 33(1), 51-56. DOI: https://doi.org/10.1016/j.indmarman.2003.08.010Kishore, J. S., Tad, M. S., & Lija, P. (2023). Exploring Women Consumers’ Perception of Selected White Goods: A Study. Revista de Gestão Social e Ambiental, 17(6), e03400-e03400. DOI: https://doi.org/10.24857/rgsa.v17n6-015Kuo, R. J., & Xue, K. C. (1998). A decision support system for sales forecasting through fuzzy neural networks with asymmetric fuzzy weights. Decision Support Systems, 24(2), 105-126. DOI: https://doi.org/10.1016/S0167-9236(98)00067-0Kuzmichev, V. E., & Cheng, Z. (2020). Sizing and fit for pressure garments. In Anthropometry, Apparel Sizing and Design (pp. 331-370). Woodhead Publishing. DOI: https://doi.org/10.1016/B978-0-08-102604-5.00013-5Lambert, D.M., & Cooper, M., 2000. Issues in Supply Chain Management. Industrial Marketing Management 29, 65–83. DOI: https://doi.org/10.1016/S0019-8501(99)00113-3Liu, Y., Istook, C. L., Liu, K., & Wang, J. (2018). Innovative method for creating fitted brassiere wire prototype based on transformation matrix algorithm. The Journal of the Textile Institute, 109(1), 73-78. DOI: https://doi.org/10.1080/00405000.2017.1326366Moore, C.M., Fernie, J., Burt, S., 2000. Brands without boundaries: The internationalisation of the designer retailer’s brand. European Journal of Marketing 34 (8), 919–937. DOI: https://doi.org/10.1108/03090560010331414Mpampa, M. L., Azariadis, P. N., & Sapidis, N. S. (2010). A new methodology for the development of sizing systems for the mass customization of garments. International Journal of Clothing Science and Technology, 22(1), 49 – 68. DOI: https://doi.org/10.1108/09556221011008802Ni, Y., & Fan, F. (2011). A two-stage dynamic sales forecasting model for the fashion retail. Expert Systems with Applications, 38(3), 1529-1536. DOI: https://doi.org/10.1016/j.eswa.2010.07.065Pal, J.W. & Byrom, J.W. (2003). The 5 Ss of retail operations. International Journal of Retail and Distribution Management, 31(10), 518-528. DOI: https://doi.org/10.1108/09590550310497049Sun, Z. L., Choi, T. M., Au, K. F., & Yu, Y. (2008). Sales forecasting using extreme learning machine with applications in fashion retailing. Decision Support Systems, 46(1), 411-419. DOI: https://doi.org/10.1016/j.dss.2008.07.009Tehrani, A. F., & Ahrens, D. (2016). Improved forecasting and purchasing of fashion products based on the use of big data techniques. In Supply management research (pp. 293-312). Springer Gabler: Wiesbaden. DOI: https://doi.org/10.1007/978-3-658-08809-5_13Zakaria, N., & Ruznan, W. S. (2020). Developing apparel sizing system using anthropometric data: Body size and shape analysis, key dimensions, and data segmentation. In Anthropometry, Apparel Sizing and Design (pp. 91-121). Woodhead Publishing. DOI: https://doi.org/10.1016/B978-0-08-102604-5.00004-4Procolombia (2020). Datos de la industria. Consultado en https://procolombia.co/swim-shown/datos-de-industriaORIGINALPDF.pdfPDF.pdfapplication/pdf675795https://bonga.unisimon.edu.co/bitstreams/6cd9ab60-a257-4f47-a846-75648e0e6763/downloadb5e54a3a9b3a15335e82ec4ee1dba575MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-8381https://bonga.unisimon.edu.co/bitstreams/b3bbf2a2-586f-4310-a2cc-e38095d2be05/download733bec43a0bf5ade4d97db708e29b185MD52CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8905https://bonga.unisimon.edu.co/bitstreams/dcdef7f1-71f5-4ea2-808b-f64fa6fdacb6/download2f656a26de8af8c32aaacd5e2a33538cMD53TEXTPDF.pdf.txtPDF.pdf.txtExtracted texttext/plain29613https://bonga.unisimon.edu.co/bitstreams/065b4102-e3b9-4384-bb24-717c05fbf8fd/downloadb46faf70138196716ed2dfc6819accb0MD54THUMBNAILPDF.pdf.jpgPDF.pdf.jpgGenerated Thumbnailimage/jpeg5739https://bonga.unisimon.edu.co/bitstreams/5d057f99-1772-49d4-8a92-caf6ee64aa3b/download15c8f85d10f3e7d293675d986df49714MD5520.500.12442/16240oai:bonga.unisimon.edu.co:20.500.12442/162402025-02-08 03:00:46.041http://creativecommons.org/licenses/by-nc-nd/3.0/us/Attribution-NonCommercial-NoDerivs 3.0 United Statesopen.accesshttps://bonga.unisimon.edu.coRepositorio Digital Universidad Simón Bolívarrepositorio.digital@unisimon.edu.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

Purchase Behavior by Region in Distributor Channel in Colombia

Publicaciones similares