Measurement Criteria and Metrics of Retail Store Performance: An Empirical Study

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Aashish Mehra, Girish Lakhera, Kimsy Gulhane, Darwin M Cacal

Abstract

In this work, we analyze the need for evolution in conventional decision support techniques while keeping in mind the complex and ever-changing requirements of the corporate environment. The goal is to make integrated performance assessment and management more crucial to improving the current decision-making tools, which are now dependent on historical data. It is regarded as a suitable application scenario due to the nature of the difficulties and developments in the retail sector. A framework is also suggested, and a case study is provided as evidence for our claim. Measurement of retailer productivity is necessary to comprehend performance entirely. There are far too many metrics that rely on accounting and financial metrics. Nevertheless, these metrics do not consider the underlying factors influencing bottom-line success. This article examines the idea of productivity concerning retail businesses, emphasizing input and output components and parametric and non-parametric productivity measurements. Furthermore, given are a research agenda and managerial implications.

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