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Investigating the impact of Internet of Things services from a smartphone app on grocery shopping

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  • Fagerstrøm, Asle
  • Eriksson, Niklas
  • Sigurdsson, Valdimar

Abstract

This study investigates the impact of Internet of Things (IoT) services from a smartphone app in a retail grocery shopping situation. It examines four variables, namely price, expiry date, quality indicators and offers. All four variables were examined in relation to two levels; traditional information and IoT services. A scenario was arranged whereby 226 participants were to purchase, among other products, fresh salmon in a grocery store using the store's smartphone app. Findings from a conjoint study show that the following IoT services; “updated expiry date†, “aggregated national customer experience index†, and “personalized offer based on product in the basket†evoked the approach and abated avoidance tendencies to explore the smartphone app, while simultaneously increasing the likelihood of buying based on information from the app. The IoT service “Real-time price†had a varied impact on participant approach-avoidance tendencies to interact with the app. Scenario simulation analysis shows that some IoT services can be a deal-breaker in a competitive grocery market. Consequently, analyzing the impact of IoT services through the lenses of approach-avoidance distinction and choice indication can help retail grocery managers develop more effective marketing strategies that deliver convenience to the consumers.

Suggested Citation

  • Fagerstrøm, Asle & Eriksson, Niklas & Sigurdsson, Valdimar, 2020. "Investigating the impact of Internet of Things services from a smartphone app on grocery shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    • Handle: RePEc:eee:joreco:v:52:y:2020:i:c:s0969698918308749
    DOI: 10.1016/j.jretconser.2019.101927
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    as
    1. Camerer, Colin F & Hogarth, Robin M, 1999. "The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 7-42, December.
    2. Grewal, Dhruv & Roggeveen, Anne L. & Nordfält, Jens, 2017. "The Future of Retailing," Journal of Retailing, Elsevier, vol. 93(1), pages 1-6.
    3. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
    4. Grewal, Dhruv & Ailawadi, Kusum L. & Gauri, Dinesh & Hall, Kevin & Kopalle, Praveen & Robertson, Jane R., 2011. "Innovations in Retail Pricing and Promotions," Journal of Retailing, Elsevier, vol. 87(S1), pages 43-52.
    5. Robert Peterson & Dwight Merunka, 2014. "Convenience samples of college students and research reproducibility," Post-Print hal-01822317, HAL.
    6. Pankaj M. Madhani, 2015. "Enhancing customer lifetime value in fast fashion retailing with RFID initiatives," International Journal of Business and Globalisation, Inderscience Enterprises Ltd, vol. 15(2), pages 205-237.
    7. Uchida, Hirotsugu & Onozaka, Yuko & Morita, Tamaki & Managi, Shunsuke, 2014. "Demand for ecolabeled seafood in the Japanese market: A conjoint analysis of the impact of information and interaction with other labels," Food Policy, Elsevier, vol. 44(C), pages 68-76.
    8. Kelly L. Haws & William O. Bearden, 2006. "Dynamic Pricing and Consumer Fairness Perceptions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 33(3), pages 304-311, October.
    9. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    10. Catherine Halbrendt & Qingbin Wang & Cristina Fraiz & Linda O'Dierno, 1995. "Marketing Problems and Opportunities in Mid-Atlantic Seafood Retailing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(5), pages 1313-1318.
    11. Holbrook, Morris B & Moore, William L, 1981. "Feature Interactions in Consumer Judgments of Verbal versus Pictorial Presentations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 8(1), pages 103-113, June.
    12. Sorensen, Herb & Bogomolova, Svetlana & Anderson, Katherine & Trinh, Giang & Sharp, Anne & Kennedy, Rachel & Page, Bill & Wright, Malcolm, 2017. "Fundamental patterns of in-store shopper behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 182-194.
    13. Bolton, Lisa E & Warlop, Luk & Alba, Joseph W, 2003. "Consumer Perceptions of Price (Un)Fairness," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(4), pages 474-491, March.
    14. Green, Paul E & Srinivasan, V, 1978. "Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 5(2), pages 103-123, Se.
    15. Brian J. Galli & Mohamad Amin Kaviani & Paula Steisel Goldfarb & Ardeshir Shahmaei, 2017. "Application of Conjoint Analysis in Improving the Value of New Product Development: A Hotel Case Study Analysis," International Journal of Strategic Decision Sciences (IJSDS), IGI Global, vol. 8(2), pages 11-30, April.
    16. Eroglu, Sevgin A. & Machleit, Karen A. & Davis, Lenita M., 2001. "Atmospheric qualities of online retailing: A conceptual model and implications," Journal of Business Research, Elsevier, vol. 54(2), pages 177-184, November.
    17. Peterson, Robert A. & Merunka, Dwight R., 2014. "Convenience samples of college students and research reproducibility," Journal of Business Research, Elsevier, vol. 67(5), pages 1035-1041.
    18. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    19. Wim Verbeke, 2005. "Agriculture and the food industry in the information age," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 32(3), pages 347-368, September.
    20. Inman, J. Jeffrey & Nikolova, Hristina, 2017. "Shopper-Facing Retail Technology: A Retailer Adoption Decision Framework Incorporating Shopper Attitudes and Privacy Concerns," Journal of Retailing, Elsevier, vol. 93(1), pages 7-28.
    21. Garaus, Marion & Wolfsteiner, Elisabeth & Wagner, Udo, 2016. "Shoppers' acceptance and perceptions of electronic shelf labels," Journal of Business Research, Elsevier, vol. 69(9), pages 3687-3692.
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