Abstract
Data Envelopment Analysis (DEA) is a linear programming tool that indicates benchmarking peers for inefficient service units to become efficient. Nevertheless, for strategic reasons the benchmarking of best practices and knowledge aggregation from efficient competitors is not usual. A time-series adaptation for directional model is proposed in this work as an alternative. The analysis applied to one branch unit of Brazilian Federal Saving Bank allowed an internal benchmarking of efficient periods of which innovative processes, competitive strategies, human resource changes, and specific incentive structures were adopted. This added knowledge provided an advantage to improve the performance of the service unit. In addition, managers to draw the best strategy in each period can use the model on pre-determined goals.
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Nepomuceno, T.C.C., de Carvalho, V.D.H., Costa, A.P.C.S. (2020). Time-Series Directional Efficiency for Knowledge Benchmarking in Service Organizations. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1159. Springer, Cham. https://doi.org/10.1007/978-3-030-45688-7_34
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DOI: https://doi.org/10.1007/978-3-030-45688-7_34
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