Stakeholder Perception of Information Systems Development Success in the Public Sector

Wanyama INDEJE, Zheng QIN

Abstract


Definition of Information Systems (IS) success has eluded researchers over time with no readily acknowledged and acceptable success model. The models so far developed for IS success measure success from the viewpoint of the system, users, and the organization. The system viewpoint is measured by information quality, system quality, and service quality; the users’ viewpoint by user satisfaction, use, and individual net benefits; and the organization’s viewpoint by organizational net benefits. Moreover, the research done has mostly been in the private sector. This study attempts to add the development team’s viewpoint as well as public sector perspectives. This is done by conducting a qualitative case study of the implementation of an information system in the public service in Kenya. Unlike previous studies on IS success, this study acknowledges the fact that there is need for a model that can be used to evaluate systems during the development cycle as well as on projects that never reach completion or are never used. In addition, findings of the study identified key IS success variables relevant to the public sector and characteristics that distinguish the public from the private sector.

Keywords


IS Success; IS Development Success; Public Sector; IS Success Variables

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References


Adelakun, O. & Jennex, M. E. (2002). Stakeholder process approach to information systems evaluation. Eighth America’s Conference on Information Systems, Dallas.

Al-Wohaibi, M., Masoud, F.A., & Edwards, H.M. (2002). Fundamental risk factors in deploying IT/IS Projects in Omani government organisations. Journal of Global Information Management, 10(4), 1 – 22.

Baccarini, D. (1999). The logical framework method for defining project success. Project Management Journal, 30(4), 25.

Ballantine, J., Bonner, M., & Levy, M. (1998). Developing a 3-D model of information systems success. In E. J. Garrity & G. L Sanders (Eds.). Information Systems Success Measurement. Hershey, PA: Idea Group Publishing.

Barki, H. & Hartwick, J. (1989). Rethinking the concept of user involvement. MIS Quarterly, 13(1), 53–63.

Belassi, W., & Tukel, O. (1996). A new framework for determining critical success/ failure factors in projects. Project Management, 14(3), 141-151.

Bloom, N. L. (1996). Select the right IS project manager for success. Personnel Journal, 75(1).

Briner, W., Hastings, C., & Geddes, M. (1996). Project leadership (2nd ed.). Guildford: Biddles Ltd.

Brown, M. M. (2000). Mitigating the risk of information technology initiatives: Best practices and points of failure for the public sector. In G. David Garson (ed.), Handbook of public information systems (pp. 153-164). NY: Marcel Dekker.

Campbell, W. (2003). How to survive in the public sector. CIO, 16(18), 1.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.

Davis, M. J. (1995). Process and Product: Dichotomy or Duality? SIGSOFT Software Engineering Notes, 20(2), 17-18.

DeLone, W. H. & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.

DeLone, W. H. & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9 – 30.

DeLooff, L. A. (1996). IS outsourcing by public sector organisation. International Federation for Information Processing.

Dowse, A. (2003). The benefits, limitations and governance implications of federated public sector systems. 14th Australasian Conference on Information Systems, Perth.

Drury, D.H., & Farhoomand A (1998) "A Hierarchical Structural Model of Information Systems Success". INFOR. February-May, 36(1/2), 25-40.

Fisher, J. (2001). User satisfaction and system success: Considering the development team. Australian Journal of Information Systems, 9(1), 21 – 29.

Flowers, S. (1996). Software failure: management failure. West Sussex, UK: John Wiley & Sons.

Ginzberg, M. J. (1981). Early diagnosis of MIS implementation failure: Promising results and unanswered questions. Management Science, 27(4), 459-478.

Hammersley, M. (1992) What’s wrong with ethnography? Methodological explorations. London: Routledge.

Hwang, H. I. & Thorn, R. G. (1999). The effect of user engagement on system success: A meta-analytical integration of research findings. Information & Management, 35(4), 229 – 236.

Hwang, M. I., Windsor, J. C., & Pryor, A. (2000). Building a knowledge base for MIS research: A metaanalysis of a systems success model. Information Resources Management Journal, 13 (2), 26 – 32.

Indeje W.G. & Zheng Q. (2010). "Organizational Culture and Information Systems Implementation: A Structuration Theory Perspective,” IEEE International Conference on Information and Financial Engineering Chongqing - China 17-19 September 2010. http://www.icife.org/index.htm

Ives, B., Hamilton, S., & Davis, G. B. (1980). A framework for research in computer-based management information systems. Management Science, 26(9), 910 – 934.

Jiang, J. J., Klein, G., & Discenza, R. (2002). Perception differences of software success: provider and user views of system metrics. Journal of Systems and Software, 63(1), 17-27.

Kappleman, L. & McLean, E. (1991). The respective roles of user participation and user involvement in the information system implementation success. ICIS Conference Proceedings, New York.

Linberg, K. R. (1999). Software developer perceptions about software project failure: a case study. Journal of Systems and Software, 49(2-3), 177-192.

Marriott, I. (2002). Public sector: The search for quality and value for money. Gartner COM-17-5685.

Myers, M. D. (1997). Qualitative research in information systems. MIS Quarterly, 21(2), 241-242.

Oz, E. (2009). Management Information Systems (6 ed.). Boston, MA: Thomson Course Technology.

Procaccino, J. D., & Verner, J. M. (2002). Software practitioner's perception of project success: a pilot study. International Journal of Computers. The Internet and Management, 10(1), 20-30.

Saleem, N. (1996). An empirical test of the contingency approach to user participation in information systems development. Journal of Management Information Systems, 13(1), 145 – 166.

Seddon, P. B. & Kiew, M. Y. (1996). A partial test and development of DeLone and McLean’s model of IS success. Australian Journal of Information Systems, 4(1), 90-109.

Seddon, P. B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240- 253.

Seddon, P. B., Staples, S., Patnayakuni, R., & Bowtell, M. (1999). Dimensions of information systems success. Communications of the AIS, 2(3es), 5.

Seneviratne, S. J. (1999). Is technological progress social progress? University of Southern California, Los Angeles.

Shenhar, A. J., Levy, O., & Dvir, D. (1997). Mapping the dimensions of project success. Project Management Journal, 28(2), 5 – 13.

Specht, P. H. (1999). The impact of IT on organization performance in the public sector. In G. Garson (Ed.), Handbook of Public Information Systems (pp. 71-83). New York: Marcel Dekker.

Staples, D. S., Wong, I., & Seddon, P. B. (2002). Having expectations of information systems benefits that match received benefits: Does it really matter? Information & Management, 40,115-131.

Szajna, B. & Scamell, R. W. (1993). The effects of information system user expectations on their performance and perceptions. MIS Quarterly, 17(4), 493 – 514.

Verner, J. M., & Evanco, W. M. (2003). An Investigation into Software Development Process Knowledge. In A. Aurum, R. Jeffery, C. Wohlin & M. Handzic (Eds.), Managing Software Engineering Knowledge (pp. 29-47): Springer-Verlag.

Wateridge, J. (1998). How can IS/IT projects be measured for success? International Journal of Project Management, 16(1), 59 – 63.

White, D. & Fortune, J. (2002). Current practice in project management - An empirical study. International Journal of Project Management, January 20(1), 1-11.

Yin, K. R. (2003). Case study research design and methods. Thousand Oaks, CA: Sage.




DOI: http://dx.doi.org/10.3968/j.mse.1913035X20110502.004

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