Applying Multiple-Criteria Decision Making methods for developing Information Technology industry

In the era of fierce competition, significant numbers of countries are investigating large amount of resources into Information and Communication Technology as they seek to add value to their industry and economy. Information Technology (IT) environment combines scale and quality in the key areas that promote competitiveness including education, infrastructure, encouragement of innovation and industry growth potential. In this article, a managerial model is proposed in order to improve the role of IT in Iranian industry and economy based on Multi-Criteria Decision Making. As methodological support of the model, an adaptive comparison between Analytical Hierarchical Procedure and Entropy method is proposed to identify the best policy for developing an IT project. After identifying the results by two models, one way Analysis of Variance is applied to discover the differences between the results. The article is accompanied with a case study in Iranian IT industry to illustrate the effectiveness of the proposed approaches.

[1]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[2]  Yi-Shun Wang,et al.  Assessing Customer Perceptions of Website Service Quality in Digital Marketing Environments , 2003, J. Organ. End User Comput..

[3]  Blake Ives,et al.  The measurement of user information satisfaction , 1983, CACM.

[4]  Arun Rai,et al.  Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis , 2002, Inf. Syst. Res..

[5]  Peter B. Seddon A Respecification and Extension of the DeLone and McLean Model of IS Success , 1997, Inf. Syst. Res..

[6]  David J. Weiss,et al.  How to Use Multiattribute Utility Measurement for Social Decisionmaking , 2008 .

[7]  Sammy W. Pearson,et al.  Development of a Tool for Measuring and Analyzing Computer User Satisfaction , 1983 .

[8]  William J. Doll,et al.  The Measurement of End-User Computing Satisfaction , 1988, MIS Q..

[9]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[10]  Kenneth L. Kraemer,et al.  The productivity impact of information technology across competitive regimes: The role of industry concentration and dynamism , 2007, Decis. Support Syst..

[11]  J. Brans,et al.  A Preference Ranking Organisation Method: (The PROMETHEE Method for Multiple Criteria Decision-Making) , 2008 .

[12]  William J. Kettinger,et al.  Perceived Service Quality and User Satisfaction with the Information Services Function , 1994 .

[13]  Ingoo Han,et al.  Performance measure of information systems (IS) in evolving computing environments: an empirical investigation , 2003, Inf. Manag..

[14]  Gary Klein,et al.  Measuring Information System Service Quality: SERVQUAL from the Other Side , 2002, MIS Q..

[15]  Constantin Zopounidis,et al.  Multicriteria Decision Aid Classification Methods , 2002 .

[16]  W. Edwards How to Use Multi-Attribute Utility Measurement for Social Decision Making , 1976 .

[17]  Chao-Min Chiu,et al.  Internet self-efficacy and electronic service acceptance , 2004, Decis. Support Syst..

[18]  Ernest H. Forman,et al.  Group decision support with the Analytic Hierarchy Process , 1992, Decis. Support Syst..

[19]  Victor R. Prybutok,et al.  A service quality and success model for the information service industry , 2004, Eur. J. Oper. Res..

[20]  Rodney Anthony Stewart,et al.  A framework for the life cycle management of information technology projects: ProjectIT , 2008 .

[21]  Richard T. Watson,et al.  Service Quality: A Measure of Information System Effectiveness , 1995, MIS Q..

[22]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[23]  T. Saaty,et al.  The Analytic Hierarchy Process , 1985 .

[24]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[25]  Terry Ryan,et al.  Quality and effectiveness in Web-based customer support systems , 2003, Inf. Manag..

[26]  Hokey Min,et al.  The contributions of multi‐criteria decision making to the development of decision support systems subspecialties: an empirical investigation , 1999 .

[27]  Hung-Pin Shih,et al.  Extended technology acceptance model of Internet utilization behavior , 2004, Inf. Manag..

[28]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[29]  T. L. Saaty A Scaling Method for Priorities in Hierarchical Structures , 1977 .

[30]  William J. Kettinger,et al.  Pragmatic Perspectives on the Measurement of Information Systems Service Quality Analysis with LISREL : An Appendix to Pragmatic Perspectives on the Measurement of Information Systems Service Quality , 2002 .

[31]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..