IDEAS home Printed from https://ideas.repec.org/a/igg/jea000/v15y2022i2p1-14.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJEA.316539
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Epstein, Leonardo D. & Inostroza-Quezada, Ignacio E. & Goodstein, Ronald C. & Choi, S. Chan, 2021. "Dynamic effects of store promotions on purchase conversion: Expanding technology applications with innovative analytics," Journal of Business Research, Elsevier, vol. 128(C), pages 279-289.
    2. Jia Niu & Shanshan Jin & Ge Chen & Xianhui Geng, 2024. "How Can Price Promotions Make Consumers More Interested? An Empirical Study from a Chinese Supermarket," Sustainability, MDPI, vol. 16(6), pages 1-21, March.
    3. M. Alex Syaekhoni & Ganjar Alfian & Young S. Kwon, 2017. "Customer Purchasing Behavior Analysis as Alternatives for Supporting In-Store Green Marketing Decision-Making," Sustainability, MDPI, vol. 9(11), pages 1-22, November.
    4. Erkip, Nesim Kohen, 2023. "Can accessing much data reshape the theory? Inventory theory under the challenge of data-driven systems," European Journal of Operational Research, Elsevier, vol. 308(3), pages 949-959.
    5. Said Salloum & Amina Al Marzouqi & Khaled Younis Alderbashi & Fanar Shwedeh & Ahmad Aburayya & Mohammed Rasol Al Saidat & Rana Saeed Al-Maroof, 2023. "Sustainability Model for the Continuous Intention to Use Metaverse Technology in Higher Education: A Case Study from Oman," Sustainability, MDPI, vol. 15(6), pages 1-19, March.
    6. Hübner, Alexander & Hense, Jonas & Dethlefs, Christian, 2022. "The revival of retail stores via omnichannel operations: A literature review and research framework," European Journal of Operational Research, Elsevier, vol. 302(3), pages 799-818.
    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.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jea000:v:15:y:2022:i:2:p:1-14. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.