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How smart technology empowers consumers in smart retail stores? The perspective of technology readiness and situational factors

Author

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  • Jiahe Chen

    (Western Sydney University)

  • Yu-Wei Chang

    (National Taichung University of Science and Technology)

Abstract

Smart retail stores have been gaining momentum in smart retailing. Instead of relying on in-store staff like traditional counterparts, smart retail stores provide an unmanned environment purely enabled by various in-store smart technologies that support customers throughout the shopping journey. This unstaffed operating model also enables smart retail stores to provide competitive prices by reducing labor costs. However, studies have overemphasized the unique value offered by smart technology but discounted the common value strengthened in smart retail. This study applies the situational factor framework to identify both unique and common factors empowered by smart technology from a comprehensive perspective; then, technology readiness is incorporated to explore consumer purchase intentions in smart retail stores. A total of 283 survey data were collected and analyzed. The main results indicate that most situational factors have a direct effect on purchase intention, and technology readiness enhances the unique situational factors enabled directly by smart technology.

Suggested Citation

  • Jiahe Chen & Yu-Wei Chang, 2023. "How smart technology empowers consumers in smart retail stores? The perspective of technology readiness and situational factors," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-24, December.
  • Handle: RePEc:spr:elmark:v:33:y:2023:i:1:d:10.1007_s12525-023-00635-6
    DOI: 10.1007/s12525-023-00635-6
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    References listed on IDEAS

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    1. Kvalsvik, Fifi, 2022. "Understanding the role of situational factors on online grocery shopping among older adults," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    2. Markus Blut & Cheng Wang, 2020. "Technology readiness: a meta-analysis of conceptualizations of the construct and its impact on technology usage," Journal of the Academy of Marketing Science, Springer, vol. 48(4), pages 649-669, July.
    3. Shankar, Venkatesh & Kalyanam, Kirthi & Setia, Pankaj & Golmohammadi, Alireza & Tirunillai, Seshadri & Douglass, Tom & Hennessey, John & Bull, J.S. & Waddoups, Rand, 2021. "How Technology is Changing Retail," Journal of Retailing, Elsevier, vol. 97(1), pages 13-27.
    4. Dobromir Stoyanov, 2021. "The role of vending channels in marketing: A systematic review and taxonomy of studies," Post-Print hal-03812782, HAL.
    5. Riegger, Anne-Sophie & Merfeld, Katrin & Klein, Jan F. & Henkel, Sven, 2022. "Technology-enabled personalization: Impact of smart technology choice on consumer shopping behavior," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    6. Hauser, Matthias & Flath, Christoph M. & Thiesse, Frédéric, 2021. "Catch me if you scan: Data-driven prescriptive modeling for smart store environments," European Journal of Operational Research, Elsevier, vol. 294(3), pages 860-873.
    7. Park, Hyun Jung & Zhang, Yining, 2022. "Technology readiness and technology paradox of unmanned convenience store users," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    8. Huang, Tseng-Lung & Liu, Ben S.C., 2021. "Augmented reality is human-like: How the humanizing experience inspires destination brand love," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    9. Sang M. Lee & DonHee Lee, 2020. "“Untact”: a new customer service strategy in the digital age," Service Business, Springer;Pan-Pacific Business Association, vol. 14(1), pages 1-22, March.
    10. Ogunjimi, Ayotunde & Rahman, Mizan & Islam, Nazrul & Hasan, Rajibul, 2021. "Smart mirror fashion technology for the retail chain transformation," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    11. Dhruv Grewal & Stephanie M. Noble & Anne L. Roggeveen & Jens Nordfalt, 2020. "The future of in-store technology," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 96-113, January.
    12. Belk, Russell W, 1975. "Situational Variables and Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(3), pages 157-164, December.
    13. Benjamin Barann & Jan H. Betzing & Marco Niemann & Benedikt Hoffmeister & Jörg Becker, 2022. "Exploring customers’ likeliness to use e-service touchpoints in brick and mortar retail," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 523-545, June.
    14. Chang, Yu-Wei & Chen, Jiahe, 2021. "What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    15. Guha, Abhijit & Grewal, Dhruv & Kopalle, Praveen K. & Haenlein, Michael & Schneider, Matthew J. & Jung, Hyunseok & Moustafa, Rida & Hegde, Dinesh R. & Hawkins, Gary, 2021. "How artificial intelligence will affect the future of retailing," Journal of Retailing, Elsevier, vol. 97(1), pages 28-41.
    16. Roe, Michael & Spanaki, Konstantina & Ioannou, Athina & Zamani, Efpraxia D. & Giannakis, Mihalis, 2022. "Drivers and challenges of internet of things diffusion in smart stores: A field exploration," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    17. Pantano, Eleonora, 2016. "Engaging consumer through the storefront: Evidences from integrating interactive technologies," Journal of Retailing and Consumer Services, Elsevier, vol. 28(C), pages 149-154.
    18. Collier, Joel E. & Moore, Robert S. & Horky, Alisha & Moore, Melissa L., 2015. "Why the little things matter: Exploring situational influences on customers' self-service technology decisions," Journal of Business Research, Elsevier, vol. 68(3), pages 703-710.
    19. Qasem, Zainah, 2021. "The effect of positive TRI traits on centennials adoption of try-on technology in the context of E-fashion retailing," International Journal of Information Management, Elsevier, vol. 56(C).
    20. Michael Roe & Konstantina Spanaki & Athina Ioannou & Efpraxia Zamani & Mihalis Giannakis, 2022. "Drivers and challenges of internet of things diffusion in smart stores: A field exploration," Post-Print hal-03599486, HAL.
    21. Dany Vyt & Magali Jara & Olivier Mevel & Thierry Morvan & Nélida Morvan, 2022. "The impact of convenience in a click and collect retail setting: A consumer-based approach," Post-Print halshs-03624658, HAL.
    22. Dobromir Stoyanov, 2021. "The role of vending channels in marketing: A systematic review and taxonomy of studies," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(2), pages 654-679, June.
    23. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    24. Vyt, Dany & Jara, Magali & Mevel, Olivier & Morvan, Thierry & Morvan, Nélida, 2022. "The impact of convenience in a click and collect retail setting: A consumer-based approach," International Journal of Production Economics, Elsevier, vol. 248(C).
    25. Adapa, Sujana & Fazal-e-Hasan, Syed Muhammad & Makam, Sathyaprakash Balaji & Azeem, Muhammad Masood & Mortimer, Gary, 2020. "Examining the antecedents and consequences of perceived shopping value through smart retail technology," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    26. Wen-Jang (Kenny) Jih, 2007. "Effects of Consumer-Perceived Convenience on Shopping Intention in Mobile Commerce: An Empirical study," International Journal of E-Business Research (IJEBR), IGI Global, vol. 3(4), pages 33-48, October.
    27. Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.
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    More about this item

    Keywords

    Smart retail store; Human-technology interactions; Smart retail; Smart technology; Situational factors; Technology readiness;
    All these keywords.

    JEL classification:

    • L81 - Industrial Organization - - Industry Studies: Services - - - Retail and Wholesale Trade; e-Commerce
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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