Evaluation of the service quality of container ports by importance-performance analysis

被引:29
|
作者
Lee, Paul T-W [2 ]
Hu, Kai-Chieh [1 ]
机构
[1] Soochow Univ, Dept Business Adm, Taipei 100, Taiwan
[2] Kainan Univ, Dept Logist & Shipping Management, Tao Yuan 33857, Taiwan
关键词
port service quality; importance-performance analysis; IPA; container port; container shipping line; CUSTOMER SATISFACTION;
D O I
10.1504/IJSTL.2012.047479
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The present study applied importance-performance analysis (IPA) to investigate the relationship between the importance level and satisfaction of port service quality and to enable port authorities to draw port managerial and operational policies for improving service quality. This IPA approach is based on the port service quality characteristics drawn by the Kano two-dimensional quality model, and examines the Singapore, Shanghai, Hong Kong, Busan, and Kaohsiung ports from the viewpoints of 15 container shipping lines deploying container ships at the above ports. The results demonstrate that the shipping lines were most satisfied with the Singapore port, while the Shanghai and Busan ports had a lower satisfaction level than the others. The IPA matrixes of the five ports confirm that, from the viewpoint of resource allocation efficiency, resources should be shifted from quadrant D to quadrant A to improve overall performance of service attributes. Therefore, port managers have to 'keep up the good work' regarding these attributes. Terminal operators can use the results to develop port strategies improving port service quality, to design better service quality control systems, and to capture more container cargoes in the fierce inter-port competition in Asia.
引用
收藏
页码:197 / 211
页数:15
相关论文
共 50 条
  • [1] The evaluation of airline service quality by the refined importance-performance analysis
    Chen, Shu-Chuan
    Kuo, Shih-Yao
    Hangkong Taikong ji Minhang Xuekan/Journal of Aeronautics, Astronautics and Aviation, 2008, 40 A (03): : 173 - 182
  • [2] An Importance-Performance Analysis of E-service Quality
    Luo, Chu
    Gao, Changchun
    Gao, Han
    Ma, Weiwei
    2015 INTERNATIONAL CONFERENCE ON LOGISTICS, INFORMATICS AND SERVICE SCIENCES (LISS), 2015,
  • [3] An importance-performance analysis of service quality in spa hotels
    Blesic, Ivana
    Popov-Raljic, Jovanka
    Uravic, Lenko
    Stankov, Ugljesa
    Deri, Lukrecija
    Pantelic, Milana
    Armenski, Tanja
    ECONOMIC RESEARCH-EKONOMSKA ISTRAZIVANJA, 2014, 27 (01): : 483 - 495
  • [4] Service quality management by expanded traditional importance-performance analysis
    Yu, Kun-Tzu
    Shen, Chun-Ying
    JOURNAL OF INDUSTRIAL AND PRODUCTION ENGINEERING, 2011, 28 (02) : 146 - 154
  • [5] Assessing Service Quality: A Combination of SERVPERF and Importance-Performance Analysis
    Rasyida, Dyah R.
    Ulkhaq, M. Mujiya
    Setiowati, Priska R.
    Setyorini, Nadia A.
    2016 3RD INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND APPLICATIONS (ICIEA 2016), 2016, 68
  • [6] Looking beyond performance: understanding service quality through the importance-performance analysis
    Aicher, Thomas J.
    Heere, Bob
    Odio, Michael A.
    Ferguson, Jeffery M.
    SPORT MANAGEMENT REVIEW, 2023, 26 (03) : 448 - 470
  • [7] An Importance-Performance Analysis of Sustainable Service Quality in Water and Sewerage Companies
    Salleh, Abrari
    Yusof, Sha'ri Mohd
    Othman, Norazli
    INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2019, 18 (01): : 89 - 103
  • [8] A critical evaluation of importance-performance analysis
    Azzopardi, Ernest
    Nash, Robert
    TOURISM MANAGEMENT, 2013, 35 : 222 - 233
  • [9] Hospitality Students' Perception of College Library Service Quality: Importance-Performance Analysis
    Mallya, Jyothi
    Patwardhan, Vidya
    DESIDOC JOURNAL OF LIBRARY & INFORMATION TECHNOLOGY, 2018, 38 (02): : 125 - 131
  • [10] Service quality evaluation of a geriatric long-term care: A combination of SERVQUAL model and importance-performance analysis
    Shieh, Jiunn-I
    Huang, Kuan-Kai
    Wu, Hsin-Hung
    JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS, 2019, 22 (05): : 829 - 843