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Drivers and challenges of internet of things diffusion in smart stores: A field exploration

Author

Listed:
  • Michael Roe

    (Loughborough University)

  • Konstantina Spanaki

    (Audencia Business School)

  • Athina Ioannou

    (Surrey Business School [Guildford] - UNIS - University of Surrey)

  • Efpraxia Zamani

    (University of Sheffield [Sheffield])

  • Mihalis Giannakis

    (Audencia Business School)

Abstract

The digitally disruptive environment has evolved rapidly due to the introduction of new advancements within the field of smart applications. Applications of one of the most prominent technologies, Internet of Things (IoT), often appear in the retail sector, where smart services have transformed the customer experience holistically. Presented in this paper are the findings from an exploratory field study in the retail service sector, which drew on the views of experienced practitioners about the smart store experience and the associated changes. The paper presents an overview of the drivers of smart retail service diffusion and the relevant challenges, such as the business expectations and the heterogeneity of devices. The arising themes indicate that IoT security is a major challenge for businesses installing IoT devices in their journey towards smart store transformation. The paper highlights the importance of a secure data-sharing IoT environment that respects customer privacy as the smart experience in-store offers data-driven insights and services. Implications for research and practice are discussed in terms of the customer experience relevant to the identified challenges.

Suggested Citation

  • 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.
    • Handle: RePEc:hal:journl:hal-03599486
    DOI: 10.1016/j.techfore.2022.121593
    Note: View the original document on HAL open archive server: https://audencia.hal.science/hal-03599486
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    References listed on IDEAS

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    Cited by:

    1. Yogesh K. Dwivedi & A. Sharma & Nripendra P. Rana & M. Giannakis & P. Goel & Vincent Dutot, 2023. "Evolution of Artificial Intelligence Research in Technological Forecasting and Social Change: Research Topics, Trends, and Future Directions," Post-Print hal-04292607, HAL.
    2. Kumar, Devinder & Singh, Rajesh Kr & Mishra, Ruchi & Daim, Tugrul U., 2023. "Roadmap for integrating blockchain with Internet of Things (IoT) for sustainable and secured operations in logistics and supply chains: Decision making framework with case illustration," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    3. Lukáš Copuš & Peter Madzík & Helena Šajgalíková & Karol Čarnogurský, 2023. "Is There a Possibility to Characterize an Organizational Culture by Its Selected Cultural Dimensions?," SAGE Open, , vol. 13(4), pages 21582440231, October.
    4. 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.

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    More about this item

    Keywords

    field study; Internet of Things; retail; smart store; security; privacy; diffusion of innovations;
    All these keywords.

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