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A two-stage EBM-based approach to evaluate operational performance of unattended convenience store

Liming Yao (Business School, Sichuan University, Chengdu, China) (State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, China)
Yuhong Shuai (Business School, Sichuan University, Chengdu, China)
Xudong Chen (College of Management Science, Chengdu University of Technology, Chengdu, China)
Anran Xiao (College of Management Science, Chengdu University of Technology, Chengdu, China)

International Journal of Retail & Distribution Management

ISSN: 0959-0552

Article publication date: 21 April 2020

Issue publication date: 8 June 2020

621

Abstract

Purpose

Due to recent technological advances, the retail industry has changed significantly. This paper examines a novel unmanned retail mode-unattended convenience store to identify the possible operational problems and develop appropriate managerial recommendations.

Design/methodology/approach

A data-driven two-stage epsilon-based measure (EBM) data envelopment analysis (DEA) method was developed to evaluate operational performance data from 33 unattended convenience stores and assess the impacts on efficiency of the internal factors, and a Tobit regression analysis was employed to examine the external environment.

Findings

It was found that the overall economic performances were relatively low and fluctuated significantly; however, the social performances were slightly higher. The out-of-stock rate was found to have a negative impact on efficiency, and regional characteristics were found to have significant effects on performance.

Practical implications

This study sought to identify current operational problems with unattended convenience stores to provide managerial insights. The cross-sectional assessment suggested that to achieve better performance, particular attention needed to be paid to store locations and surrounding store environments.

Originality/value

First, this paper establishes a novel theoretical framework to evaluate the economic and social operational performances at unattended convenience stores. Second, it contributes to research on unattended convenience stores and the unmanned retail industry and offers significant guidance on detecting operational deficiencies and improving future performances.

Keywords

Acknowledgements

The authors thank those who have given valuable comments and suggestions to improve this paper. The research is supported by the National Natural Science Foundation of China [Grant No. 71771157, 71301109], Soft Science Program of Sichuan Province [Grant No. 2017ZR0154], Funding of Sichuan University [Grant No. skqx201726], China Postdoctoral Science Foundation Funded Project (Grant No. 184089, 2017M610609) and Youth Program of National Natural Science Foundation of China (Grant No. 71701025).

Citation

Yao, L., Shuai, Y., Chen, X. and Xiao, A. (2020), "A two-stage EBM-based approach to evaluate operational performance of unattended convenience store", International Journal of Retail & Distribution Management, Vol. 48 No. 6, pp. 609-627. https://doi.org/10.1108/IJRDM-09-2019-0321

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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