Subscribe Now Subscribe Today
Research Article
 

Development of Business Intelligence Success Evaluation Framework



S. Kokin and T. Wang
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail
ABSTRACT

The present study proposes a new theoretical framework for examining relationship between Business Intelligence (BI) Capabilities and Business Intelligence (BI) Success from the positions of Information System Success theory. A lot of attention was paid to the quality issues of BI Capabilities due to the theoretical background of IS Success Theory, especially De Lone and McLean IS Success model. Most of the hypothesized relationships were confirmed. The results of the present research suggest that BI Capabilities in the context of proposed framework are critically important to BI Success. Organizations, exploiting BI systems, should pay attention to the implementation of the abovementioned BI Capabilities. Another important notion is that the difference in the quality of these BI Capabilities may explain the success and failure of the BI implementation projects. These results are consistent with the previous research in the academic field. This study is relevant to both researchers and practitioners. This study proposes to extend current research in BI and provide a parsimonious and intuitive model for explaining the relationship between BI success and BI capabilities based on the previous research in the field of Information System (IS) Success.

Services
Related Articles in ASCI
Similar Articles in this Journal
Search in Google Scholar
View Citation
Report Citation

 
  How to cite this article:

S. Kokin and T. Wang, 2013. Development of Business Intelligence Success Evaluation Framework. Journal of Applied Sciences, 13: 1657-1660.

DOI: 10.3923/jas.2013.1657.1660

URL: https://scialert.net/abstract/?doi=jas.2013.1657.1660
 

REFERENCES
Ballantine, J., M. Bonner, M. Levy, A. Martin, I. Munro and P.L. Powell, 1996. The 3-D model of information systems success: The search for the dependent variable continues. Inform. Resour. Manage. J., 9: 5-15.

Bharadwaj, A.S., 2000. A resource-based perspective on information technology capability and firm performance: An empirical investigation. MIS Quart., 24: 169-196.
CrossRef  |  Direct Link  |  

Burton, B., L. Geishecker, K. Schelegel, B. Hostmann and T. Austin et al., 2006. Business intelligence focus shifts from tactical to strategic. Gartner Research, Stamford, CT., USA.

Chin, W.W., 1998. Commentary: Issues and opinion on structural equation modeling. Manage. Inform. Syst. Q., 22: 7-16.
Direct Link  |  

Clark, T.D., M.C. Jones and C.P. Armstrong, 2007. The dynamic structure of management support systems: Theory development, research focus and direction. MIS Q., 31: 579-615.
Direct Link  |  

Eckerson, W., 2003. Smart companies in the 21st century: The secrets of creating successful business intelligence solutions. TDWI The Data Warehousing Institute Report Series, pp: 1-35. http://www.tdwi.org

Gelderman, M., 2002. Task difficulty, task variability and satisfaction with management support systems. Inform. Manage., 39: 593-604.
CrossRef  |  

Grover, V. and M.K. Malhotra, 2003. Transaction cost framework in operations and supply chain management research: Theory and measurement. J. Oper. Manage., 21: 457-473.
CrossRef  |  

Hartono, E., R. Santhanam and C.W. Holsapple, 2007. Factors that contribute to management support system success: An analysis of field studies. Decis. Support Syst., 43: 256-268.
CrossRef  |  

Isik, O., M. Jones and A. Sidorova, 2010. Business intelligence success: An empirical evaluation of the role of BI capabilities and the decision environment. Proceedings of the BI Congress II: Pre-ICIS Conference, December 11-12, 2010, St. Louis, MO., USA., pp: 11-12.

Jourdan, Z., R.K. Rainer and T.E. Marshall, 2008. Business intelligence: An analysis of the literature 1. Inform. Syst. Manage., 25: 121-131.
CrossRef  |  

Manglik, A. and V. Mehra, 2005. Extending enterprise BI capabilities: New patterns for data integration. Bus. Intell. J., 10: 10-17.

Pirttimaki, V., A. Lonnqvist and A. Karjaluoto, 2006. Measurement of business intelligence in a Finnish telecommunications company. Electron. J. Knowl. Manage., 4: 83-90.

Sambamurthy, V., A. Bharadwaj and V. Grover, 2003. Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms. MIS Q., 27: 237-263.
Direct Link  |  

Watson, H.J. and B.H. Wixom, 2007. The current state of business intelligence. Computer, 40: 96-99.
CrossRef  |  

Watson, H.J., 2009. Tutorial: Business intelligence-past, present and future. Commun. Assoc. Inform. Syst., Vol. 25.

Wixom, B.H. and H.J. Watson, 2001. An empirical investigation of the factors affecting data warehousing success. MIS Quart., 25: 17-41.
CrossRef  |  Direct Link  |  

©  2020 Science Alert. All Rights Reserved