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Measuring retail productivity of food and grocery retail outlets using the DEA technique / created by Akanksha Gupta and Sanjiv Mittal

By: Contributor(s): Material type: TextTextSeries: Journal of Strategic Marketing ; Volume 18 , number 4,Abingdon: Taylor and Francis, 2010Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
Subject(s): Online resources: Summary: This paper explores the productivity measurement aspects in the Indian grocery retail sector. Here, an attempt has been made to measure the productivity of retail outlets with specific reference to Delhi and National Capital Region (NCR). Productivity is the ratio of output and input. The input and output variables for this study were selected with proper care. The variables were discussed with the retailers during the preparation of the study. In this present research, six input variables have been taken, namely: total square feet area of the store; total number of Stock Keeping Units; number of point of sales machines; labour cost/wages of employees; number of employees; and working hours of the employees. The two output variables taken are sales and customer conversion ratio. The non-parametric technique of Data Envelopment Analysis (DEA) for measuring the efficiency of 43 retail outlets firms has been used. It was found out that 16 out of the 43 firms are efficient units (who have a score of 1), meaning they are the ones who are optimally utilising their input for the generation of output. This will help the retailers in the long term to improve them after benchmarking with the efficient retail firms.
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This paper explores the productivity measurement aspects in the Indian grocery retail sector. Here, an attempt has been made to measure the productivity of retail outlets with specific reference to Delhi and National Capital Region (NCR). Productivity is the ratio of output and input. The input and output variables for this study were selected with proper care. The variables were discussed with the retailers during the preparation of the study. In this present research, six input variables have been taken, namely: total square feet area of the store; total number of Stock Keeping Units; number of point of sales machines; labour cost/wages of employees; number of employees; and working hours of the employees. The two output variables taken are sales and customer conversion ratio.
The non-parametric technique of Data Envelopment Analysis (DEA) for measuring the efficiency of 43 retail outlets firms has been used. It was found out that 16 out of the 43 firms are efficient units (who have a score of 1), meaning they are the ones who are optimally utilising their input for the generation of output. This will help the retailers in the long term to improve them after benchmarking with the efficient retail firms.

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