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Challenges in Adoption of Business Analytics by Small Retailers: An Empirical Study in the Indian Context

Author

Listed:
  • Gaurav Nagpal

    (Birla Institute of Technology and Science, Pilani, India)

  • Anup Kumar Ray

    (Birla Institute of Technology and Science, Pilani, India)

  • Nitisha Kharkwal

    (Birla Institute of Technology and Science, Pilani, India)

  • Naga Vamsi Krishna Jasti

    (Birla Institute of Technology and Science, Pilani, India)

  • Ankita Nagpal

    (Birla Institute of Technology and Science, Pilani, India)

Abstract

Business analytics are transforming every industry in modern times, and the retail sector is not an exception to this. However, the adoption of analytics among small and medium enterprises is quite limited. There is a decent amount of research that has been done in the recent past on identifying the barriers of digitalization for small and medium enterprises. But any such work is missing in the case of analytics. Also, the small retailer, in particular, has been left untouched by the existing research studies when it comes to identifying what prohibits him from the use of analytics for making business decisions. Using a scientific way of data collection from small and mid-sized retailers and from retail industry experts, this study explores why the local retailers are reluctant to use analytics in their work and what can be done to make them more comfortable with the use of analytics. The study also proposes a novel framework for adoption of data analytics and titles it “SPEFSERT Framework.”

Suggested Citation

  • Gaurav Nagpal & Anup Kumar Ray & Nitisha Kharkwal & Naga Vamsi Krishna Jasti & Ankita Nagpal, 2022. "Challenges in Adoption of Business Analytics by Small Retailers: An Empirical Study in the Indian Context," International Journal of E-Adoption (IJEA), IGI Global, vol. 15(2), pages 1-14, December.
    • Handle: RePEc:igg:jea000:v:15:y:2022:i:2:p:1-14
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    References listed on IDEAS

    as
    1. 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.
    2. Epstein, Leonardo D. & Flores, Arturo A. & Goodstein, Ronald C. & Milberg, Sandra J., 2016. "A new approach to measuring retail promotion effectiveness: A case of store traffic," Journal of Business Research, Elsevier, vol. 69(10), pages 4394-4402.
    3. Gladys Gnana Kiruba B. & Debi Prasanna Acharjya, 2020. "Behavioural Intention of Customers Towards Smartwatches in an Ambient Environment Using Soft Computing: An Integrated SEM-PLS and Fuzzy Rough Set Approach," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 11(2), pages 80-111, April.
    4. Andreas Schaller & Katrin Mueller, 2009. "Motorola's Experiences in Designing the Internet of Things," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 1(1), pages 75-85, January.
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