The Performance Evaluation of Bulk Shipping Corporations Applying by Network Data Envelopment Analysis

• Main Authors: Hsu, Ying-Chen, 徐穎珍
• Other Authors: Lee, Hsuan-Shih
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/93066994312096472279

博士 === 國立臺灣海洋大學 === 航運管理學系 === 103 === The shipping industry is essential for the economic development of nations like Taiwan as a means delivering and receiving cargo. Shipping has been depressed since 2008 as a result of the financial crisis increasing pressure for the shipping corporations to operate more efficiently. This paper aims to contribute to the existing literature by proposing a Network Data Envelopment Analysis (NDEA) model consolidated with Balanced Scorecard (BSC) to identify and understand paths to improve DMU’s performance. The proposed model treats the four perspectives of BSC (learning and growth, internal business processes, customer, and financial) as four interconnected stages on the basis of the centralized concept and calculates overall efficiency of each DMU as well as the individual efficiency of BSC each stage. This paper advances the analysis of the DMU, suggests an approach that benefits from NDEA and BSC, and further provides examples of potential insights into specific operations where modification can improve DMU’s performance. For demonstrating the proposed model, this paper applies it to a limited sample of bulk shipping corporations among Taiwan, China and Hong Kong, presents and compares the ranking and the differences in performances between peer-evaluation and self-evaluation of each company, and suggests available strategies for performance improvement. The results show that the bulk shipping corporations in Taiwan perform well among all DMUs, especially for T-TL3 with the highest overall efficiency. Moreover, T-TL2, T-TL6, C-TL8 and C-TL11 are efficient in learning and growth perspective; T-TL5 is efficient in internal business processes perspective; C-TL8 and H-TL14 are efficient in customer perspective; T-TL5 and T-TL7 are efficient in financial perspective. This paper suggests the way the proposed combined use of NDEA and BSC applied to a complete set of operating data has the potential to assist shipping corporations improve resource allocation and operational strategies, focus efforts and investments on areas that have potential to generate improved performance.