Volume 10 Number 1 (Jan. 2015)
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JSW 2015 Vol.10(1): 82-93 ISSN: 1796-217X
doi: 10.17706/jsw.10.1.82-93

Using a Two-Dimensional Mean Value Matrix (TDMVM) to Improve Users’ Satisfaction with Government e-Recruitment Website

Chun-Ming Yang1, Neng-Yih Shin2, Ming-Wei Weng3, Chang-Hsien Hsu4

1Department of Management Sciences, Tamkang University, Taiwan, R.O.C.
2Department of Computer Science and Information Engineering, Asia University, Taiwan, R.O.C.
3Department of Industrial Engineering and Systems Management, Feng Chia University, Taiwan, R.O.C.
4Department of Business Administration, Asia University, Taiwan, R.O.C


Abstract—The purpose of this study is to examine the relationship between local government services and the overall satisfaction of users with the e–recruitment website (e–job website) in Taiwan. A two–dimensional mean value matrix (TDMVM) technique was used to explore the identification, classification, and application of website service quality. The results show that the asymmetrical relationship between local government services and the overall satisfaction of users with the e–job website can be confirmed in relation to 22 service attributes. 5 of the 22 service quality attributes were shown to be the top priorities for improvement. Therefore, managers should be aware that the service quality of e–job websites needs to be improved.

Index Terms—E-recruitment website, e–job, service quality, two–dimensional mean value matrix (TDMVM).

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Cite: Chun-Ming Yang, Neng-Yih Shin, Ming-Wei Weng, Chang-Hsien Hsu, "Using a Two-Dimensional Mean Value Matrix (TDMVM) to Improve Users’ Satisfaction with Government e-Recruitment Website," Journal of Software vol. 10, no. 1, pp. 82-93, 2015.

General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Quarterly

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, EBSCO,
           CNKIGoogle Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: [email protected]

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