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Smart mirror fashion technology for the retail chain transformation

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  • Ogunjimi, Ayotunde
  • Rahman, Mizan
  • Islam, Nazrul
  • Hasan, Rajibul

Abstract

As the digitalisation of businesses continues to change customers’ purchasing habits, brick-and-mortar retail SMEs (Small and Medium Enterprises) are confronted with unprecedented challenges. The proliferation of e-commerce and digital businesses is not only changing the rules of business but disrupting them by introducing new possibilities, especially with the integration of new technology. Studies that have attempted to measure technology-based service quality in retail settings are limited to online service experiences, creating a significant gap in the literature. The primary purpose of this paper is to explore how the service quality of brick-and-mortar clothing retail chains can be improved using innovative technology such as smart mirror fashion technology (SMFT), something academic research has not yet specifically addressed. This study used a qualitative approach with Soft System Methodology (SSM), based upon interviews triangulated with observations and field notes. It focused on the top five UK clothing retail chains, measured by market capitalisation. We found that the quality of service received is currently perceived as low when compared to customers’ expectations; however, use of technology enhanced service quality and influenced customer satisfaction. There was a positive relationship between service quality, customer satisfaction and the use of SMFT. The contribution of this study lies in the development of a new framework that integrates SMFT with traditional in-store transaction processes, resulting in improvements in service delivery and managerial practices of the offline clothing retail service providers. The study concludes that embracing SMFT can help provide high-quality service, creating value for customers.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:173:y:2021:i:c:s0040162521005515
    DOI: 10.1016/j.techfore.2021.121118
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    References listed on IDEAS

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    Cited by:

    1. Aslam, Usman & Davis, Leon, 2024. "Analyzing consumer expectations and experiences of Augmented Reality (AR) apps in the fashion retail sector," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    2. Lu, Hsi-Peng & Cheng, Hsiang-Ling & Tzou, Jen-Chuen & Chen, Chiao-Shan, 2023. "Technology roadmap of AI applications in the retail industry," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    3. Carsten D. Schultz & Björn Gorlas, 2023. "Magic mirror on the wall: Cross-buying at the point of sale," Electronic Commerce Research, Springer, vol. 23(3), pages 1677-1700, September.
    4. 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).
    5. Alesanco-Llorente, María & Reinares-Lara, Eva & Pelegrín-Borondo, Jorge & Olarte-Pascual, Cristina, 2023. "Mobile-assisted showrooming behavior and the (r)evolution of retail: The moderating effect of gender on the adoption of mobile augmented reality," Technological Forecasting and Social Change, Elsevier, vol. 191(C).
    6. 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.
    7. 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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