Abstract
This paper focuses on measuring the operation performance of unattended convenience stores, which is divided into two stages: economic sub-system and social sub-system. The approach, two-stage SBM model, is applied to evaluate the overall efficiency and sub-system efficiency of 33 unattended convenience stores in Chain. The main findings are: 1. The overall performance value is relatively low and fluctuates greatly, in which the economic is generally low while the social is slightly higher. 2. The two-stage SBM method has a stronger discriminating power than conventional black box method and identifies problems more accurately.
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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], and China Postdoctoral Science Foundation Funded Project (Grant No. 184089, 2017M610609).
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Shuai, Y., Liu, T., Chen, X., Yao, L. (2020). Measuring the Operation Performance of Unattended Convenience Store Using a Two-stage SBM Method. In: Xu, J., Ahmed, S., Cooke, F., Duca, G. (eds) Proceedings of the Thirteenth International Conference on Management Science and Engineering Management. ICMSEM 2019. Advances in Intelligent Systems and Computing, vol 1001. Springer, Cham. https://doi.org/10.1007/978-3-030-21248-3_13
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