Factors Influencing the Successful Implementation of BIS

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2018 by IJETT Journal
Volume-60 Number-2
Year of Publication : 2018
Authors : Abdel Nasser H. Zaied, Mohamed O. Grida, Gawaher Soliman Hussein
DOI :  10.14445/22315381/IJETT-V60P214


Abdel Nasser H. Zaied, Mohamed O. Grida, Gawaher Soliman Husseine "Factors Influencing the Successful Implementation of BIS", International Journal of Engineering Trends and Technology (IJETT), V60(2),102-108 June 2018. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Business intelligence systems (BIS) are an important component of modern organization’s information infrastructure. They enable organizations to understand business environment, recognize opportunities, help decision makers to make better decision, and improve organizational performance. To implement a BI project successfully and to gain the associated benefits, BIS stakeholders need to understand the critical success factors (CSFs). As CSFs support them to optimize their resources and efforts through focusing on those significant factors that support the successful implementation. In this research, a critical success framework for BIS implementation was proposed. The framework gathered critical success factors and divided them into Organization, Technology, Environment and Process categories.Questionnaire was used to collect data and SPSS program was used to analysis the collected data. The results show that there is a strong positive relationship between CSFs and successful implementation of BIS (R=0.818). Also, all the CSFs except complexity have a positive significant relationship with successful implementation at 1% and 5% level of significant. Finally, results show that the CSFs have positive significant effect on organization's performance.

[1] A. Owusu, & M. Said, “An integrated model for determining business intelligence systems adoption and post-adoption benefits in banking sector”, Journal of Administrative and Business Studies, Vol. 2, No. 22, pp. 84-100,2016.
[2] V.H. Trieu, “Getting value from Business Intelligence systems: A review and research agenda”, Decision Support Systems, Vol. 93, pp.111–124, 2016.
[3] G. Richards, W. Yeoh, A. Chong & A. Popovič, “Business Intelligence Effectiveness and Corporate Performance Management: An Empirical Analysis”, Journal of Computer Information Systems, pp.1-9, 31 Jul 2017.
[4] W.Yeoh, & A. Popovič, “Extending the understanding of critical success factors for implementing business intelligence systems”, Journal of the Association for Information Science and Technology, Vol. 67, No. 1, pp. 134–147, 2016.
[5] E. Tuncay. & O. Belgin. “Effects of business intelligence techniques on enterprise productivity", the 16th World Productivity Congress and European Productivity Conference, 2010.
[6] L. Duane & L. D. Xu, “Business intelligence for enterprise systems: a survey. Industrial Informatics”, IEEE Transactions on Vo. 8, No. c, pp. 1–9, 2012
[7] L. Dawson, & J. Van Belle, “Critical success factors for business intelligence in the South African financial services sector”, SA Journal of Information Management, Vol. 15, No. 1, pp. 1-12, 2013.
[8] S. Arefin, R. Hoque, & Y. Bao, “The impact of business intelligence on organization’s effectiveness: an empirical study”, Journal of Systems and Information Technology”, Vol. 17, No. 3, pp. 263 – 285, 2015.
[9] A. Anjariny, & A. Zeki, “The Important Dimensions for Assessing Organization's Readiness Toward Business Intelligence Systems from the Perspective of Malaysian Organization. International”, Conference on Advanced Computer Science Applications and Technologies. 2013 Dec 23-24; Kuala Lumpur, Malaysia.
[10] T. Yoon, B. Ghosh, & B. Jeong, “User Acceptance of Business Intelligence (BI) Application: Technology, Individual Difference, Social Influence, and Situational”, Conference on System Sciences (Hicss), Hawaii, 2014.
[11] S. Kadoli, D. Patil, A. Mane, A. Shinde, & SH. Kokate, “An Enterprise Resource Planning (ERP) For A Construction Enterprise Along with Business Intelligence (BI)”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 3, No. 2, pp. 9487- 9493, 2014.
[12] W. Yeoh, & A. Koronios, “Critical success factors for business intelligence systems”, Journal of computer information systems, Vol. 50, No. 3, pp. 23-32, 2010.
[13] C. Schieder, & P. Gluchowski, “Towards a consolidated research model for understanding Business intelligence success”, European Conference on Information Systems (ECIS) 2011.
[14] W. H. DeLone, & E. R. McLean, “The DeLone and McLean model of information systems success: A ten-year update”, Journal of Management Information Systems, Vol. 19, No. 4, pp. 9–30, 2003.
[15] A. Anjariny, A. Zeki, & H. Hussin, “Assessing Organizations’ Readiness toward Business Intelligence Systems: A Proposed Hypothesized Model”, International Conference on Advanced Computer Science Applications and Technologies, pp. 213-218, Kuala Lumpur: IEEE, 2012.
[16] A. Sangar, & N. Iahad, “Critical Factors That Affect the Success of Business Intelligence Systems (BIS) Implementation in An Organization”, International Journal of Scientific & Technology Research, Vol. 2, No. 2, pp. 176-180, 2013.
[17] U. Kulkarni, & J. Robles-Flores, “Development and Validation of a BI Success Model”, Proceedings of the 19th Americas Conference on Information Systems, pp. 1-11Chicago: 2013.
[18] W. Boonsiritomachai,"Enablers affecting the adoption of Business Intelligence: a study of Thai small and medium-sized enterprises", PhD dissertation in Business Administration, Victoria University, Melbourne, Australia, 2014
[19] P. Mesaros, S. Carnicky, T. Mandicak, M. Habinakova, D. Mackova, & M. Spisakova, “Model of key success factors for Business Intelligence implementation”, Journal of Systems Integration, Vol. 7, No. 3, pp. 3-15, 2016.
[20] A. Ahmad, "Business Intelligence for Sustainable Competitive Advantage in Sustaining Competitive Advantage Via Business Intelligence, Knowledge Management, and System Dynamics", Advances in Business Marketing and Purchasing, Vol. 22A, pp. 3-220, 2015.
[21] S. Chaveesuk, “The determinants of the adoption and application of business intelligence: an ERP perspective Dissertation in Business Administration, Victoria University, Melbourne; Australia, 2010.
[22] A. Zaied, “An E-Services Success Measurement Framework”, International Journal of Information Technology and Computer Science, Vol. 4, No. 4, pp 18-25, 2012.
[23] R. Al Saed, "The Relationship between Business Intelligence and Business Success: An Investigation in Firms in Sharjah Emirate", American Journal of Business and Management, Vol. 2, No. 4, pp. 332-339, 2013.
[24] O. Isik, M. Jones, & A. Sidorova, “Business intelligence success: The roles of BI capabilities and decision Environments”, Information & Management, Vol. 50, No. 1, pp. 13–23, 2013.
[25] T. Mudzana, & M. Maharaj, “Measuring the success of business-intelligence systems in South Africa: An empirical investigation applying the DeLone and McLean Model", South African Journal of Information Management, Vol. 17, No. 1, pp. 1-7, 2015.
[26] W. Boonsiritomachai, G. McGrath, & S. Burgess, “Exploring business intelligence and its depth of maturity in Thai SMEs”, Cogent Business & Management, Vol. 3, No. 1, pp. 1-17, 2016.
[27] A. Owusu, G. Agbemabiese, D. Abdurrahaman, & B. Soladoye, “Determinants of business intelligence systems adoption in developing countries: an empirical analysis from ghanaian banks”, Journal of Internet Banking and Commerce, Vol. 22, No. S8, pp. 1-25, 2017.
[28] V. Sailaja. & P. Prasada Rao, “Identification of Performance Measurement Factors Affecting Business Intelligence Success in Retailing: An Empirical Investigation", European Journal of Business and Management, Vol.7, No.19, pp. 57-68, 2015.
[29] C. Hou, "Using the balanced scorecard in assessing the impact of BI system usage on organizational performance: An empirical study of Taiwan’s semiconductor industry", Information Development, Vol. 32, No. 5, pp. 1545–1569, 2016.
[30] A. Zaied A., “An Integrated Success Model for Evaluating Information System Success in Public Sectors”, Journal of Emerging Trends in Computing and Information Sciences, Vol. 3, No. 6, pp. 814-825, 2012.

Business Intelligence Systems (BIS); Critical Success Factors (CSF); Organization's Performance (OP); Business Intelligence Implementation (BII); Business Intelligence Model (BIM).