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Towards a framework of the performance evaluation of SMEs' industry portals

Tzu‐Chuan Chou (Department of Information Management, National Kaohsiung First University of Science and Technology, Taiwan, Republic of China)
Li‐Ling Hsu (Department of Information Management, National Kaohsiung First University of Science and Technology, Taiwan, Republic of China)
Ying‐Jung Yeh (Department of Business Administration, National Central University, Taiwan, Republic of China)
Chin‐Tsang Ho (Department of Business Administration, National Central University, Taiwan, Republic of China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 1 May 2005

2582

Abstract

Purpose

With the fast growth of the internet, the development of industry portals for SMEs is becoming an increasingly important issue of economic growth. However, designing and developing efficient portals is not easy, and how to evaluate industry portals' performance has not yet been convincingly demonstrated. To address this gap, this paper aims to propose a framework.

Design/methodology/approach

The framework uses the analytic hierarchical process and incorporates both experts' and users' judgments into the performance evaluation process. It also employs three different objectives for performance evaluation including data quality, technology acceptance, and knowledge distribution. An exemplary case is given to demonstrate the proposed framework by empirically assessing an industry portal project, developed by Small and Medium Enterprise Administration, Ministry of Economic Affairs, Taiwan.

Findings

The proposed framework can enable industry associations to become more familiar with the nature and scope of portal performance evaluation.

Originality/value

Develops a framework which addresses the practical aspect of portal evaluation in terms of multiple objectives and involvement.

Keywords

Citation

Chou, T., Hsu, L., Yeh, Y. and Ho, C. (2005), "Towards a framework of the performance evaluation of SMEs' industry portals", Industrial Management & Data Systems, Vol. 105 No. 4, pp. 527-544. https://doi.org/10.1108/02635570510592406

Publisher

:

Emerald Group Publishing Limited

Copyright © 2005, Emerald Group Publishing Limited

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