LA  INTENCIÓN DE COMPRA EN LA LOGÍSTICA DE LA CADENA DE SUMINISTRO DE NANO-STORE

Juan Asterio Castillo Salamín

Enviado enero 24, 2023

Publicado 2023-01-20

Artículos

Vol. 6 Núm. 1 (2023): REVISTA FAECO SAPIENS

LA INTENCIÓN DE COMPRA EN LA LOGÍSTICA DE LA CADENA DE SUMINISTRO DE NANO-STORE

Juan Asterio Castillo Salamín ⁺⁻

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Publicado: 2023-01-20

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Castillo Salamín , J. A. (2023). LA INTENCIÓN DE COMPRA EN LA LOGÍSTICA DE LA CADENA DE SUMINISTRO DE NANO-STORE. Revista FAECO Sapiens, 6(1), 315–329. Recuperado a partir de https://revistas.up.ac.pa/index.php/faeco_sapiens/article/view/3528

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.

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RESUMEN

Este documento tiene como objetivo principal revisar la postura y la evidencia científica sobre la intención de compra en la logística de la cadena de suministro de nano-store. Debido a que dichos conceptos no están claramente definidos en la literatura especializada, lo que supone proporcionar una visión general dentro de este campo, evidenciando que tipo de conceptos se han explorado, cuáles son los principales hallazgos y qué métodos de investigación se han usado. Para dar respuesta a este problema se plantea las directrices de la metodología PRISMA. Los resultados más sobresalientes se enfocaron en los atributos que deben poseer los nano-store para que la intención de compra entre en efecto. El método estadístico que predominó en los estudios fue el método de ecuaciones estructurales. Por otra parte, no se encontró estudios que profundizan de manera directa en la logística y la cadena de suministro, si no, de manera indirecta. Dichos hallazgos consideran recomendar más investigaciones en este campo logístico, donde se observó una clara problemática subyacente en la cadena de suministro, debido a las características propias de los nano-store.

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Citas

Agarwal, A., & Singh, M. R. P. (2018). The relationship between retail experience, customer satisfaction, and behavioral intention: Exploring the consumer shopping behavior in unorganized retail settings. Indian Journal of Marketing, 48(1), 9–27. https://doi.org/10.17010/ijom/2018/v48/i1/120733
Anuradha, A. (2017). Influence of psycho-demographic variables of customers on their expectations and satisfaction towards retail store image attributes. International Journal of Business Innovation and Research, 14(4), 439–459. https://doi.org/10.1504/IJBIR.2017.087842
Ballou, R. (2004). Logística, Administración de la cadena de Suministro. In Logística. Adm. la cadena Suminist. https://doi.org/10.1017/CBO9781107415324.004
Blanco, E. E., & Fransoo, J. C. (2013). Reaching 50 million nanostores Retail distribution in emerging megacities. Beta WP 40(January), 1–19.
Boulaksil, Y., Fransoo, J. C., Blanco, E. E., & Koubida, S. (2019). Understanding the fragmented demand for transportation – Small traditional retailers in emerging markets. Transportation Research Part A: Policy and Practice, 130, 65–81. https://doi.org/10.1016/j.tra.2019.09.003
Francioni, B., Savelli, E., & Cioppi, M. (2018). Store satisfaction and store loyalty: The moderating role of store atmosphere. Journal of Retailing and Consumer Services, 43(4), 333–341. https://doi.org/10.1016/j.jretconser.2018.05.005
Gil Saura, I., Berenguer-Contrí, G., Ruiz Molina, M. E., & Michel, G. (2017). Customer segmentation based on store equity: What explains customer store preference? Journal of Brand Management, 24(6), 546–561. https://doi.org/10.1057/s41262-017-0049-1
Graciola, A. P., De Toni, D., Milan, G. S., Eberle, L., Paula, A., Toni, D. De, Sperandio, G., & Eberle, L. (2020). Mediated-moderated effects: High and low store image, brand awareness, perceived value from mini and supermarkets retail stores. Journal of Retailing and Consumer Services, 55(April), 102117. https://doi.org/https://doi.org/10.1016/j.jretconser.2020.102117
Hemalatha, M., & Najma, S. (2013). The antecedents of store patronage behaviour in Indian kirana store. International Journal of Business Innovation and Research, 7(5), 554–571. https://doi.org/10.1504/IJBIR.2013.056178
Hübner, A. H., Kuhn, H., & Wollenburg, J. (2017). Last mile fulfilment and distribution in omni-channel grocery retailing. The Eletronic Library, 34(1), 1–5. https://doi.org/doi:10.1108/IJRDM-11-2014-0154
Juhász, J., & Bányai, T. (2018). Last mile logistics: An integrated view. IOP Conference Series: Materials Science and Engineering, 448(1), 1–10. https://doi.org/10.1088/1757-899X/448/1/012026
Khare, A., Pandey, S. K., & Bhardwaj, P. (2014). Impact of Culture, Cosmopolitanism, and Price on Local Store Loyalty: An Empirical Study from India. Journal of International Consumer Marketing, 26(3), 185–200. https://doi.org/10.1080/08961530.2014.889588
Khare, Arpita. (2013). Culture, small retail stores, and Indian consumer preferences: A moderating role of demographics. International Review of Retail, Distribution and Consumer Research, 23(1), 87–109. https://doi.org/10.1080/09593969.2012.734256
Kin, B., Ambra, T., Verlinde, S., & Macharis, C. (2018). Tackling fragmented last mile deliveries to nanostores by utilizing spare transportation capacity-A simulation study. Sustainability (Switzerland), 10(3), 1–15. https://doi.org/10.3390/su10030653
Martínez-Ruiz, M. P., Ruiz-Palomino, P., Martinez-Canas, R., & Blázquez-Resino, J. J. (2014). Consumer satisfaction and loyalty in private-label food stores. British Food Journal, 116(5), 849–871. https://doi.org/10.1108/BFJ-09-2012-0216
Nair, S. R. (2018). Analyzing the relationship between store attributes, satisfaction, patronage-intention and lifestyle in food and grocery store choice behavior. International Journal of Retail and Distribution Management, 46(1), 70–89. https://doi.org/10.1108/IJRDM-06-2016-0102
Nair, S. R., & Shams, S. M. R. (2020). Impact of store-attributes on food and grocery shopping behavior: insights from an emerging market context. EuroMed Journal of Business, 16(3), 324–343. https://doi.org/10.1108/EMJB-10-2019-0128
Paul, J., Sankaranarayanan, K. G., & Mekoth, N. (2016). Consumer satisfaction in retail stores: theory and implications. International Journal of Consumer Studies, 40(6), 635–642. https://doi.org/10.1111/ijcs.12279
Somasekhar, G., Ahamed Basha, S., & Rangarajan, V. (2018). Predication of shoppers’ perceptual differences in traditional retail stores: An application of discriminant analysis. International Journal of Mechanical Engineering and Technology, 9(10), 1326–1335.
Vasumathi, A., & Subashini, R. (2015). Issues and challenges faced by organised and unorganised retail outlets of food and grocery in India - An empirical study. International Journal of Services and Operations Management, 22(3), 336–362. https://doi.org/10.1504/IJSOM.2015.072316
Villasís-Keever, M. Á., Rendón-Macías, M. E., García, H., Miranda-Novales, M. G., & Escamilla-Núñez, A. (2020). Systematic review and meta-analysis as a support tools for research and clinical practice. Revista Alergia Mexico, 67(1), 62–72.

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Este obra está bajo una licencia de Creative Commons Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional.

Content Top

[1] Agarwal, A., & Singh, M. R. P. (2018). The relationship between retail experience, customer satisfaction, and behavioral intention: Exploring the consumer shopping behavior in unorganized retail settings. Indian Journal of Marketing, 48(1), 9–27. https://doi.org/10.17010/ijom/2018/v48/i1/120733

[2] Anuradha, A. (2017). Influence of psycho-demographic variables of customers on their expectations and satisfaction towards retail store image attributes. International Journal of Business Innovation and Research, 14(4), 439–459. https://doi.org/10.1504/IJBIR.2017.087842

[3] Ballou, R. (2004). Logística, Administración de la cadena de Suministro. In Logística. Adm. la cadena Suminist. https://doi.org/10.1017/CBO9781107415324.004

[4] Blanco, E. E., & Fransoo, J. C. (2013). Reaching 50 million nanostores Retail distribution in emerging megacities. Beta WP 40(January), 1–19.

[5] Boulaksil, Y., Fransoo, J. C., Blanco, E. E., & Koubida, S. (2019). Understanding the fragmented demand for transportation – Small traditional retailers in emerging markets. Transportation Research Part A: Policy and Practice, 130, 65–81. https://doi.org/10.1016/j.tra.2019.09.003

[6] Francioni, B., Savelli, E., & Cioppi, M. (2018). Store satisfaction and store loyalty: The moderating role of store atmosphere. Journal of Retailing and Consumer Services, 43(4), 333–341. https://doi.org/10.1016/j.jretconser.2018.05.005

[7] Gil Saura, I., Berenguer-Contrí, G., Ruiz Molina, M. E., & Michel, G. (2017). Customer segmentation based on store equity: What explains customer store preference? Journal of Brand Management, 24(6), 546–561. https://doi.org/10.1057/s41262-017-0049-1

[8] Graciola, A. P., De Toni, D., Milan, G. S., Eberle, L., Paula, A., Toni, D. De, Sperandio, G., & Eberle, L. (2020). Mediated-moderated effects: High and low store image, brand awareness, perceived value from mini and supermarkets retail stores. Journal of Retailing and Consumer Services, 55(April), 102117. https://doi.org/https://doi.org/10.1016/j.jretconser.2020.102117

[9] Hemalatha, M., & Najma, S. (2013). The antecedents of store patronage behaviour in Indian kirana store. International Journal of Business Innovation and Research, 7(5), 554–571. https://doi.org/10.1504/IJBIR.2013.056178

[10] Hübner, A. H., Kuhn, H., & Wollenburg, J. (2017). Last mile fulfilment and distribution in omni-channel grocery retailing. The Eletronic Library, 34(1), 1–5. https://doi.org/doi:10.1108/IJRDM-11-2014-0154

[11] Juhász, J., & Bányai, T. (2018). Last mile logistics: An integrated view. IOP Conference Series: Materials Science and Engineering, 448(1), 1–10. https://doi.org/10.1088/1757-899X/448/1/012026

[12] Khare, A., Pandey, S. K., & Bhardwaj, P. (2014). Impact of Culture, Cosmopolitanism, and Price on Local Store Loyalty: An Empirical Study from India. Journal of International Consumer Marketing, 26(3), 185–200. https://doi.org/10.1080/08961530.2014.889588

[13] Khare, Arpita. (2013). Culture, small retail stores, and Indian consumer preferences: A moderating role of demographics. International Review of Retail, Distribution and Consumer Research, 23(1), 87–109. https://doi.org/10.1080/09593969.2012.734256

[14] Kin, B., Ambra, T., Verlinde, S., & Macharis, C. (2018). Tackling fragmented last mile deliveries to nanostores by utilizing spare transportation capacity-A simulation study. Sustainability (Switzerland), 10(3), 1–15. https://doi.org/10.3390/su10030653

[15] Martínez-Ruiz, M. P., Ruiz-Palomino, P., Martinez-Canas, R., & Blázquez-Resino, J. J. (2014). Consumer satisfaction and loyalty in private-label food stores. British Food Journal, 116(5), 849–871. https://doi.org/10.1108/BFJ-09-2012-0216

[16] Nair, S. R. (2018). Analyzing the relationship between store attributes, satisfaction, patronage-intention and lifestyle in food and grocery store choice behavior. International Journal of Retail and Distribution Management, 46(1), 70–89. https://doi.org/10.1108/IJRDM-06-2016-0102

[17] Nair, S. R., & Shams, S. M. R. (2020). Impact of store-attributes on food and grocery shopping behavior: insights from an emerging market context. EuroMed Journal of Business, 16(3), 324–343. https://doi.org/10.1108/EMJB-10-2019-0128

[18] Paul, J., Sankaranarayanan, K. G., & Mekoth, N. (2016). Consumer satisfaction in retail stores: theory and implications. International Journal of Consumer Studies, 40(6), 635–642. https://doi.org/10.1111/ijcs.12279

[19] Somasekhar, G., Ahamed Basha, S., & Rangarajan, V. (2018). Predication of shoppers’ perceptual differences in traditional retail stores: An application of discriminant analysis. International Journal of Mechanical Engineering and Technology, 9(10), 1326–1335.

[20] Vasumathi, A., & Subashini, R. (2015). Issues and challenges faced by organised and unorganised retail outlets of food and grocery in India - An empirical study. International Journal of Services and Operations Management, 22(3), 336–362. https://doi.org/10.1504/IJSOM.2015.072316

[21] Villasís-Keever, M. Á., Rendón-Macías, M. E., García, H., Miranda-Novales, M. G., & Escamilla-Núñez, A. (2020). Systematic review and meta-analysis as a support tools for research and clinical practice. Revista Alergia Mexico, 67(1), 62–72.

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