AN ASSESSMENT MODEL FOR WEB-BASED INFORMATION SYSTEM EFFECTIVENESS
A THESIS SUBMITTED TO THE GRADUATE SCHOOL OF INFORMATICS OF THE MIDDLE EAST TECHNICAL UNIVERSITY
IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN THE DEPARTMENT OF INFORMATION SYSTEMS
Approval of the Graduate School of Informatics
_________________________ Prof. Dr. Nazife BAYKAL Director I certify that this thesis satisfies all the requirements as a thesis for the degree of Doctor of Philosophy. __________________________ Prof. Dr. Yasemin YARDIMCI Head of Department
This is to certify that we have read this thesis and that in our opinion it is fully adequate, in scope and quality, as a thesis for the degree of Doctor of Philosophy.
_________________________ Prof. Dr. Semih BĐLGEN Supervisor Examining Committee Members Assoc. Prof. Dr. Onur DEMĐRÖRS Prof. Dr. Semih BĐLGEN (METU, IS) _______________________ (METU, EEE) _______________________
Assist. Prof. Dr. Nergiz ÇAĞILTAY (ATILIM, SE) ________________________ Dr. Altan KOÇYĐĞĐT Dr. Sevgi ÖZKAN (METU, IS) ________________________ (METU, IS) ________________________
I hereby declare that all information in this document has been obtained and presented in accordance with academic rules and ethical conduct. I also declare that, as required by these rules and conduct, I have fully cited and referenced all material and results that are not original to this work.
Name and Surname: Gül Tokdemir Signature :______________
AN ASSESSMENT MODEL FOR WEB-BASED INFORMATION SYSTEM EFFECTIVENESS
Tokdemir, Gül Ph.D., Department of Information Systems Supervisor: Prof. Dr. Semih Bilgen
January 2009, 130 pages
Information System (IS) effectiveness assessment is an important issue for the organizations as IS have become critical for their survival. With the incorporation of Internet technologies into the business environment, it is now more difficult to measure IS effectiveness, because Internet provides a borderless, non-stop, flexible communication medium. Assessing the effectiveness of web-based information systems (WIS) is vital for survival and competitive advantage which is a complicated
subject since there are several interacting factors to consider. In the literature there are several methods proposed for IS assessment. However, those studies have been far from providing a broad, comprehensive evaluation framework for any type of web-based IS independent of its domain. In this study, a generic WIS effectiveness assessment framework is proposed. The framework is applied in case studies consisting of four organizations in e-commerce and e-banking domains.
Keywords: Web-based IS, IS effectiveness assessment
WEB-TABANLI BĐLGĐ SĐSTEMLERĐ ĐÇĐN ETKĐLĐLĐK DEĞERLENDĐRME MODELĐ
Tokdemir, Gül Doktora, Bilişim Sistemleri Tez Yöneticisi: Prof. Dr. Semih Bilgen
Ocak 2009, 130 sayfa
Bilgi sistemlerinin (BS) etkililiğinin değerlendirilmesi, organizasyonların yaşam döngüsünde kritik önem arzetmektedir. Çünkü günümüzde. Internet teknolojilerinin iş ortamlarına girişiyle birlikte, bilgi sistemlerinin etkiliğinin ölçülmesi daha da zor hale gelmiştir, çünkü Internet sınırları olmayan, sürekli çalışabilen, esnek bir iletişim ortamı sağlamaktadır. Web Tabanlı Bilgi Sistemlerinin (WBS) etkliliğinin ölçülmesi organizasyonların devamlılığını sağlamaları ve rekabetçi ortamda varolabilmeleri olabilmeleri için gerekli olan, ancak birbiriyle etkileşimde olan faktörleri içermesi dolayısıylada karmaşık bir konudur. Literatürde bilgi sistemlerinin değerlendirilmesi konusunda çeşitli çalışmalar mevcuttur. Ancak bu çalışmalar, genel, kapsamlı ve etki vi
alanından bağımsız bir WBS etkililik değerlendirmesinden çok uzaktır. Bu çalışmada, genel bir WBS etkililik değerlendirme modeli sunulmaktadır. Bu model örnek olay incelemesi olarak e-ticaret ve e-banka alanlarındaki dört şirkete...
References: Aladwani, A. & Palvia, P. (2002). Developing and Validating an instrument for measuring user perceived web quality. Information and Management(39), 467-476.
Alazmi, M. & Zairi, M. (2003). Knowledge Management critical success factors. Total Quality Management, 14(2), 199-204.
Alexa (Producer). (2008) Alexa information http://www.alexa.com/.
Alexander, W. J. & Randolph, W. A. (1985). The Fit between Technology and Structure as a Predictor of Performance in Nursing Subunits. The Academy of Management Journal, 28(4), 844-859.
Ammenwerth, E., Graber, S., Herrmann, G., Bürkle, T. & König, J. (2003). Evaluation of health information systems- Problems and Challenges. International Journal of Medical Informatics(71), 125-135.
Auger, P. (2003). The Relationship between Differentiation Strategies and Internetbased Electronic Commerce Strategies. Unpublished Working Paper. Melburne University.
Barut, M., Faisst, W. & Kanet, J. J. (2002). Measuring Supply chain Coupling: An Information System Perspective. European Journal of Purchasing and Supply Management(8), 161-171.
BDDK (2008). Seçilmiş Rasyolar-2007.
Becker, J., Niehaves, B., Algermissen, L., Delfman, P. & Falk, T. (2004). Egovernment Success Factors. Paper presented at the E-Government.
Beise, C. M. (1994). A Model of the IS/Organizational Interface and Users’ Perceptions of IS Effectiveness. Computer Personnel, July.
Benbasat, I., Goldstein, D. K. & Mead, M. (1987). The Case Research Strategy in Studies of Information Systems. MIS Quarterly, 369-386.
Bremser, W. & Chung, Q. B. (2005). A framework for performance measurement in the e-business environment. Electronic Commerce Research and Applications(4), 395-412.
Brynjolfsson, E. (1993). The Productivity Paradox of Information Technology. Communications of the ACM, 36(12). 93
Chang, C. J. & King, R. W. (2005). Measuring the Performance of Information Systems: A Functional Scorecard. Journal of Management Information Systems, 22(1), 85-115.
Chen, L., Gillenson, M. & Sherrell, D. L. (2008). Consumer Acceptance of Virtual Stores: A Theoretical Consumer Acceptance and Critical Success Factors for Virtual Stores. International Journal of Mobile Communications.
Cheung, C. M. K. & Lee, M. K. O. (2005). Consumer Satisfaction with Internet shopping: A research framework and Propositions for Future Research. Paper presented at the Proceedings of the 7th international conference on Electronic commerce.
Cronholm, S. & Goldkuhl, G. (2003). Six generic Types of Information Systems Evaluation. Paper presented at the 10th European Conference on Information Technology Evaluation (ECITE-2003).
D 'ambra, J. (2001). Measuring the effcetiveness of the www as an information source. Paper presented at the IEEE International Conference on Systems, Man, and Cybernetics.
D 'ambra, J. & Rice, R. E. (2001). Emerging Factors in User Evaluation of the WWW. Information and Management, 38, 373-384.
D 'ambra, J. & Wilson, C. S. (2004). Explaining perceived performance of the World Wide Web. Internet Research, 14(4), 294-310.
Dedrick, J., Gurbaxani, V. & Kenneth, L. K. (2003). Information technology and Economic Performance: A critical Review of the Emprical Evidence. ACM Computing Surveys, 35(1), 1-28.
DeLone, W. H. & McLean, E. R. (1992). Information systems success: The Quest for the Dependent Variable. Information Systems Research,, 3(1), 60-95. 94
DeLone, W. H. & McLean, E. R. (2004). Measuring e-Commerce Success: Applying the DeLone and McLean Model of Information Systems Success Model. International Journal of Electronic Commerce, 9(1), 31-47.
Ekodialog. Bankacılık: Yönetim ve Performans Retrieved December 10, 2008, from http://www.ekodialog.com/finansal_eko/fin_eko_konulari6.html
Eralp, Ö. (2004). Design and Implementation of a Software Development Process Measurement System. Middle East Technical University.
Evangelidis, A., Akomode, J., Bendiab, A. & Taylor, M. (2002). Risk Assessment& success factors for e-government in a UK establishment. Paper presented at the EGOV 2002.
Fitzgerald, G. (1998). Evaluating Information Systems Projects: A Multidimensional Approach. Journal of Information Technology, 13, 15-27.
Gable, G. G., Darshana, S. & Chan, T. (2003). Enterprise System Success: a Measurement Model. Paper presented at the 24th International Conference on Information Systems.
Garson, G. D. Statnotes: Topics in Multivariate Analysis Retrieved December 1, 2008, from http://www2.chass.ncsu.edu/garson/pa765/statnote.htm
Gil-Garcia, R. & Pardo, T. (2005). E-government success factors: Mapping practical tools to theoretical foundations. Government Information Quarterly, 22, 187216.
Gunasekaran, A., Ngai, E. W. T. & McGaughey, R. E. (2006). Information Technology and Systems Justification: A review for research and Applications. European Journal of Operational Research, 173, 957-983.
Gurbaxani, V. & Whang, S. (1991). The Impact of Information Systems on Organizations and Markets. Communications of the ACM, 34(1), 59-73.
Hambrick, D. C. (1980). Operationalizing the concept of Business-Level Strategy in Research. Academy of Management Review, 5(4), 567-575.
Hamilton, S. & Chervany, N. (1981). Evaluating Information Systems EffectivenessPart 1: Comparing Evaluation Approaches. MIS Quarterly.
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