A Hybrid Framework for The Implementation of Business Intelligence Systems in Small Scale Enterprises
DOI:
https://doi.org/10.51519/journalisi.v4i1.221Keywords:
business intelligence, implementation framework, small scale enterprise, business intelligence systemAbstract
Small scale enterprises can improve their operations by implementing business intelligence systems. The business intelligence systems are complex and require expertise to ensure successful implementation, hence the need for small scale enterprises to determine their readiness before undertaking the project. To improve chances for successful implementation, this study proposed a framework to guide small scale enterprises on the requirements for business intelligence systems. The design steps defined by Edwards and Goodrich & Tamassia were followed to design the framework. The framework components were informed by the Diffusion of Innovation and Technology Organization and Environment theories, the Information Evaluation Model, and the critical success factors for BIS implementation. A small business may evaluate its resources against the framework components to determine whether to implement a business intelligence system. In future, the framework may be extended to include weights and other criteria to calculate a business’s status.
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References
Davenport, T. Business intelligence and organizational decisions, International Journal of Business Intelligence Research, Vol. 1, No. 1, pp.1–12, 2010.
Edwards, S., Dorn, B. & Sanders, D., Problem Solving and Algorithms. 2012 [Online] Available at: http://sofia.cs.vt.edu/cs1114-ebooklet/chapter4.html [Accessed 18 July 2020].
Elbashir, M. Davern and P. A. Collier, “Measuring the effects of business intelligence systems:the relationship between business process and organisational performance,” International Journal of Accounting Information Systems, vol. 9, no. 3, pp. 135-53, 2008.
Roessing, R.M. The Business Model for Information Security. ISACA Journal, 1-27, 2010
[online] available at https://www.isaca.org/Knowledge-Center/BMIS/Documents/IntrotoBMIS.pdf.
Turban, E. R. Sharda, D. Delen and D. King, Business Intelligence, A Managerial Approach, 2nd ed., Boston: Prentice Hall, 2011.
Turban, E., Sharda, R., Dursun, D. and King, D. Business Intelligence: A Managerial Approach, 2nd ed., Prentice Hall, Upper Saddle River, NJ, ISBN-13: 978-0136100669, 2008.
Watson, H. “Real time: the next generation of decision-support data management’, Business Intelligence Journal, Vol. 10, No. 3, pp.4–6, 2005.
Williams, S. and Williams, N. The Profit Impact of Business Intelligence, Morgan Kaufmann, San Francisco, CA, ISBN: 978-0-12-372, 2007.
Yeoh, W. A. Koronios and J. Gao, “Managing the implementation of business intelligence systems: A critical Success Factors Framework,” International Journal of Enterprise Information Systems, 2008.
Hevner, A., vom Brocke, J. & Maedche, A. Roles of Digital Innovation in Design Science Research. Bus Inf Syst Eng 61, 3–8, 2007.
Raj, R., Wong, S. and Beaumont, A. Business Intelligence Solution for an SME: A Case Study. DOI: 10.5220/0006049500410050 In Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 3: KMIS, pages 41-50 ISBN: 978-989-758-203-5
Jahantigh, F. F., Habibi, A., & Sarafrazi, A. A conceptual framework for business intelligence critical success factors. International Journal of Business Information Systems, 30(1), 109–123, 2019.
P. C. Lai, “The Literature Review of Technology Adoption Models and Theories for Novelty Technology,” JISTEM- Journal of Information Systems and Technology Management, vol. 14, no. 1, pp.21-38,2017.
S. I. Chang, S. Y. Hung, D. C. Yen and P. J. Lee, “Critical factors of ERP adoption for small and medium-sized enterprises: An empirical study,” Journal of Global Information Management (JGIM), vol. 18, no. 3, pp. 82-106, 2010.
A. M. Khan, N. Amin and N. Lambrou, “Drivers and barriers to business intelligence adoption: a case of Pakistan,” in 14th European and Mediterranean Conference on Information Systems (EMCIS), Abu Dhabi, UAE, 2010.
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