Understanding towards Interactions between Business Intelligence and SMEs: Learn from Each Other

MD Shaheb Ali, Shahadat Khan, Shah Jahan Miah

Abstract


Business Intelligence (BI) and small and medium enterprises (SMEs) are two distinctive research domains but greater interaction between these two entities have been experienced in the existing literature. It is therefore of an importance to conduct a theoretical analysis to improve our understanding on the nature of the two distinct entities for offering an emerging learning. The interactions in between the two domains are manifested deeper insights of BI implementations in the context of SMEs, mainly to revealing on criteria of the business environmental performance.
Although research in both domains have been rapidly growing, limited number of studies are designed to enrich understanding and knowledge form the interaction concerning the learning aspects of BI and SMEs. Therefore, this study is aimed to conduct a theoretical analyse in order to explore an integrated view on how BI and SMEs learn from each other and contributes to the business environmental performance. A qualitative content analysis was conducted for the procedure, which considered 43 source articles as samples. Findings of the literature review suggest enhancing capability of SMEs and innovation of BI, which may affect each other. Findings of this study may become useful for further research in terms of BI implementation success.

Keywords


Business intelligence, SMEs, change adaptation, capability, decision making, interactive relation, and learning.

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References


Dr. Shahadat Khan, Senior Lecturer,School of Business Information Technology and Logistics, RMIT University, Melbourne, Victoria, Australia, Email: shahadat.khan@rmit.edu.au

Dr Shah Jahan Miah, Senior Lecturer, Information Systems, Victoria University, Melbourne, Australia, Email: shah.miah@vu.edu.au




DOI: http://dx.doi.org/10.4301/S1807-17752017000200002

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