A Grey Forecasting Approach for the Sustainability Performance of Logistics Companies

Min-Chun Yu, Chia-Nan Wang and Nguyen-Nhu-Y Ho
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Min-Chun Yu: Department of Business Administration, National Kaohsiung University of Applied Sciences, Kaohsiung 807, Taiwan
Chia-Nan Wang: Department of Industrial Engineering and Management, National Kaohsiung University of Applied Sciences, Kaohsiung 807, Taiwan
Nguyen-Nhu-Y Ho: Department of Industrial Engineering and Management, National Kaohsiung University of Applied Sciences, Kaohsiung 807, Taiwan

Sustainability, 2016, vol. 8, issue 9, 1-18

Abstract: Logistics plays an important role in globalized companies and contributes to the development of foreign trade. A large number of external conditions, such as recession and inflation, affect logistics. Therefore, managers should find ways to improve operational performance, enabling them to increase efficiency while considering environmental sustainability due to the industry’s large scale of energy consumption. Based on data collected from the financial reports of top global logistics companies, this study uses a DEA model to calculate corporate efficiency by implementing a Grey forecasting approach to forecast future sustainability values. Consequently, the study addresses the problem of how to enhance operational performance while accounting for the impact of external conditions. This research can help logistics companies develop operation strategies in the future that will enhance their competitiveness vis-à-vis rivals in a time of global economic volatility.

Keywords: logistics industry; sustainability; data envelopment analysis (DEA); grey forecasting (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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