小型零售商采用商业分析的挑战:印度背景下的实证研究

Gaurav Nagpal, A. K. Ray, Nitisha Kharkwal, N. Jasti, Ankita Nagpal
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引用次数: 0

摘要

商业分析正在改变现代的每一个行业,零售业也不例外。然而,中小型企业对分析的采用是相当有限的。最近有相当多的研究是关于确定中小型企业数字化的障碍的。但在分析学中,没有任何这样的工作。此外,当涉及到确定是什么阻止他使用分析来制定商业决策时,特别是小零售商,一直没有受到现有研究的影响。本研究采用科学的方法从中小型零售商和零售行业专家那里收集数据,探讨了当地零售商不愿意在工作中使用分析的原因,以及如何使他们更适应分析的使用。该研究还提出了一个采用数据分析的新框架,并将其命名为“SPEFSERT框架”。
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Challenges in Adoption of Business Analytics by Small Retailers: An Empirical Study in the Indian Context
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.”
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