A DELPHI STUDY OF THE IMPORTANT FACTORS FOR BI SYSTEM IMPLEMENTATION IN THE PUBLIC SECTOR ORGANIZATIONS
DOI:
https://doi.org/10.11113/jt.v77.6539Keywords:
Critical success factors, Business intelligence system, Public sector, Delphi studyAbstract
This paper depicts the effect of Critical Success Factors (CSFs) on business intelligence (BI) system implementations in Malaysian context by applying a Delphi study. The results of this study provides insight to the most important CSFS which assist the Malaysian public sector organizations to organize their resources through understanding those CSFs that are most likely to have an impact upon the implementation of the BI system. The modified Delphi study was selected to conduct this study. Result of first round of Delphi study revealed that the user access is insignificant factor for the success of BI system implementation. Moreover, overall finding of Delphi study highlighted the continuous management support, scalable and flexible system, BI team skill, resource allocation, organization culture, and coordination between IT and business units as most important CSFs for implementation of BI system.
References
Bardhan, P. K. and D. Mookherjee. 2000. Corruption and Decentralization of Infrastructure Delivery in Developing Countries. Boston University, Institute for Economic Development.
Cordella, A. and J. Hesse. 2010. E-Government in the Making: Socio-Economic Development in the Akshaya Project.
Wowczko, I. A. 2013. The Use of BI in Government Driven Environment. Business Intelligence and Data Mining.
Hartley, K. and L. F. Seymour. 2011. Towards a Framework for the Adoption of Business Intelligence in Public Sector Organisations: The Case of South Africa. In Proceedings of the South African Institute of Computer Scientists and Information Technologists Conference on Knowledge, Innovation and Leadership in a Diverse, Multidisciplinary Environment. ACM.
Binti Mohamad, E. S. and I. Bin Mohamed. 2012. Mybi: A Business Intelligence Application Development Framework for Malaysian Public Sector. In Statistics in Science, Business, and Engineering (ICSSBE), 2012 International Conference on. IEEE.
Mohamadina, A. A., et al. 2012. Business Intelligence: Concepts, Issues and Current Systems. In Advanced Computer Science Applications and Technologies (ACSAT), 2012 International Conference on. IEEE.
Bullen, C. V. and J. F. Rockart. 1981. A Primer on Critical Success Factors.
Moss, L. T. and S. Atre. 2003. Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications. Addison-Wesley Professional.
Wixom, B. H. and H. J. Watson. 2001. An Empirical Investigation of the Factors Affecting Data Warehousing Success. MIS Quarterly. 17-41.
Yeoh, W. and A. Koronios. 2010. Critical Success Factors for Business Intelligence Systems. Journal of Computer Information Systems. 50(3): 23-32.
Adamala, S. and L. Cidrin. 2011. Key Success Factors in Business Intelligence. Journal of Intelligence Studies in Business. 1(1).
Işık, Ö., M. C. Jones, and A. Sidorova. 2013. Business Intelligence Success: The Roles of BI Capabilities and Decision Environments. Information & Management. 50(1): 13-23.
Olbrich, S., J. Poppelbuß, and B. Niehaves. 2012. Critical Contextual Success Factors for Business Intelligence: A Delphi Study on Their Relevance, Variability, And Controllability. In System Science (HICSS), 2012 45th Hawaii International Conference on. IEEE.
Babazadeh Sangar, A. and N. B. A. Iahad. 2013. Critical Factors that Affect the Success of Business Intelligence Systems (BIS) Implementation in an Organization. Intelligence. 12: 14-16.
Olszak, C. M. and E. Ziemba. 2012. Critical Success Factors fFor Implementing Business Intelligence Systems in Small and Medium Enterprises on the Example of Upper Silesia, Poland. Interdisciplinary Journal of Information, Knowledge, and Management. 7: 129-150.
Anjariny, A. H., A. M. Zeki, and H. Hussin. 2012. Assessing Organizations Readiness toward Business Intelligence Systems: A Proposed Hypothesized Model. In Advanced Computer Science Applications and Technologies (ACSAT), 2012 International Conference on. IEEE.
Lupu, A., et al. 2007. The Impact of Organization Changes on Business Intelligence Projects. In Proceedings of the 7th WSEAS International Conference on Simulation, Modeling and Optimization, Beijing, China, September.
Pinto, J. K. and D. P. Slevin. 1987. Critical Factors in Successful Project Implementation. Engineering Management, IEEE Transactions on. (1): 22-27.
Skulmoski, G., F. Hartman, and J. Krahn. 2007. The Delphi Method for Graduate Research. Journal of Information Technology Education: Research. 6(1): 1-21.
Thompson, B. 1987. Foundations Of Behavioral-Research. Kerlinger, Fn. Sage Publications Inc 2455 Teller Rd, Thousand Oaks, Ca 91320.
Delbecq, A. L., A. H. Van de Ven, and D. H. Gustafson. 1975. Group Techniques for Program Planning: A Guide to Nominal Group And Delphi Processes. Scott, Foresman Glenview, IL.
Hasson, F., S. Keeney, and H. McKenna. 2000. Research Guidelines for the Delphi Survey Technique. Journal of Advanced Nursing. 32(4): 1008-1015.
Holey, E. A., et al. 2007. An Exploration of the Use of Simple Statistics to Measure Consensus and Stability in Delphi Studies. BMC Medical Research Methodology. 7(1): 52.
Green, P. 1982. The Content of a College-Level Outdoor Leadership Course.
Holloway, K. T. 2011. Development of a Specialist Nursing Framework for New Zealand.
Hsu, C.-C. and B. A. Sandford. 2007. The Delphi Technique: Making Sense of Consensus. Practical Assessment, Research & Evaluation. 12(10): 1-8.
Rockart, J. F. 1982. The Changing Role of the Information Systems Executive: A Critical Success Factors Perspective. Massachusetts Institute of Technology Boston.
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