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Factors influencing customer selection of omni-channel supermarket retailing: An empirical study in Sri Lanka

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EN
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EN
Purpose: This study aims to identify the factors affecting and impacting the Omni channel selection of customers in supermarket retailing, addressing a research gap in this area. Methodology: The researcher conducted an empirical study using a questionnaire distributed among 384 supermarket customers. Factor and regression analyses were performed to determine the influential factors. Results: The study found that risk management, experience and expected performance, security aspects, and customer compatibilities have individual effects on customer Omni channel selection. Additionally, recommendations were made to enhance the value of existing or future Omni channel supply chains. Theoretical contribution: This research contributes to the understanding of customer behavior in Omni-channel supermarket retailing, particularly in the context of a developing country like Sri Lanka. The findings can inform both academic and practical discussions on supply chain management and e-commerce. Practical implications: The study's recommendations can guide supermarket retailers in improving their Omni-channel strategies, ultimately enhancing customer satisfaction and loyalty. This, in turn, can positively impact the retail industry and the broader economy of Sri Lanka.
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Bibliografia
  • Abd Aziz, N. N., & Abd Wahid, N. (2018). Why consumers are hesitant to shop online: the major concerns towards online shopping. International Journal of Academic Research in Business and Social Sciences, 8(9), 1175-1185. https://doi.org/10.6007/IJARBSS/v8-i9/4689
  • Chopra, S. (2016). How omni-channel can be the future of retailing. Decision, 43, 135-144. https://doi.org/10.1007/s40622-015-0118-9
  • Chopra, S., & Meindl, P. (2021). Supply Chain Management (7 ed.). Pearson Education.
  • Gerea, C., Gonzalez-Lopez, F., & Herskovic, V. (2021). Omnichannel customer experience and management: An integrative review and research agenda. Sustainability, 13(5), 2824. https://doi.org/10.3390/su13052824
  • IBM. (2021, 03 02). www.ibm.com. Retrieved 10 23, 2022, from https://www.ibm.com/docs/en/spss-statistics/26.0.0?topic=detection-kmo-bartletts-test
  • Jayarathna, D., & Jayawardena, C. (2019). Application of clusters in a transportation network. Journal of Mathematics and Informatics, 17, 21-29. https://doi.org/10.22457/jmi.130aav17a3
  • Juaneda-Ayensa, E., Mosquera, A., & Sierra Murillo, Y. (2016). Omnichannel customer behavior: key drivers of technology acceptance and use and their effects on purchase intention. Frontiers in psychology, 7, 206486. https://doi.org/10.3389/fpsyg.2016.01117
  • Montreuil, B. (2016). Omnichannel Business to Consumer Logistics and Supply Chains: Towards Hyperconnected Networks and Facilities. Progress in Material Handling Research: 2016.
  • Staflund, L., & Kersmark, M. (2015). Omni-Channel Retailing: Blurring the lines between online and offline.
  • Sulastri, A. S., Nawi, N. M., Abdullah, A. M., & Latif, I. A. (2017). Factors influencing consumer’s intention towards online Grocery Shopping. IOSR Journal of Humanities and Social Science, 22(6), 74-79. https://doi.org/10.9790/0837-2206107479
  • Van Delft, W. C. J. M. (2013). Omnichannel shopping behaviour during the customer journey. Eindhoven: Eindhoven University of Technology.
  • Verhoef, P. C. (2021). Omni-channel retailing: some reflections. Journal of Strategic Marketing, 29(7), 608-616. https://doi.org/10.1080/0965254X.2021.1892163
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  • Zaware, P. D. N. (2020). Omnichannel consumer buying behavior: Apprehending the purchasing pattern for mobile buyers in India. International Journal of Advanced Science and Technology, 17. Available at SSRN 3819243.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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