INVESTMENT SELECTION AND EVALUATION FOR CHINA EXPRESS DELIVERY MARKET

Authors

  • Xiaojia Wang Hefei University of Technology
  • Wei Chen York College of Pennsylvania
  • William John Lekse University of Pittsburgh

DOI:

https://doi.org/10.23055/ijietap.2021.28.2.4211

Keywords:

operations research

Abstract

China’s express industry has experienced phenomenal growth in recent years. More investors are considering entering the express delivery industry in China. Investors are particularly interested in understanding the following questions: 1) How do existing express delivery companies in China manage their businesses? 2) What are the strengths and weaknesses of these companies if there is potential collaboration? This study investigates the top 12 express delivery companies in China and independently evaluates their business performance. To this end, we first employ the uncertain linguistic variables (ULV) to simulate the uncertainties of a decision-making process. Then, we propose a novel weighted method integrating subjective and objective evaluations into a unique value and rank the 12 express delivery companies. Compared with conventional methods, the proposed model mitigates the adverse effects of uncertainty while providing a practicable approach to incorporate the sentiments of area experts. This model can be easily applied to other industries and markets.

Author Biographies

Xiaojia Wang, Hefei University of Technology

Professor, Department of Information Management.

Wei Chen, York College of Pennsylvania

Assistant Professor, Graham School of Business.

William John Lekse, University of Pittsburgh

Professor, Katz Graduate School of Business.

Published

2021-11-23

How to Cite

Wang, X., Chen, W., & Lekse, W. J. (2021). INVESTMENT SELECTION AND EVALUATION FOR CHINA EXPRESS DELIVERY MARKET. International Journal of Industrial Engineering: Theory, Applications and Practice, 28(2). https://doi.org/10.23055/ijietap.2021.28.2.4211

Issue

Section

Operations Research

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