engleski

Revealing cloud and mobile BI adoption specifics in SMEs: A sytematic literature review

Todays' large, medium, and small-sized enterprises around the world need quality data. Well-prepared data provides quality information, i.e. relevant and accurate information obtained at the right time and intended for the right user. By analysing such information, enterprises achieve more efficient and competitive business in their industry. Business intelligence (BI) represents a concept that merges several tools and methods for data analysis that provide information valuable for further decision-making at all levels of the enterprise. Therefore, this paper explores the adoption of functions encompassed within the definition of cloud and mobile BI solutions. It is prejudiced that large enterprises need BI more than small and medium enterprises (SMEs). Therefore, the focus of this research is to represent specifics of cloud and mobile BI solutions adoption in SMEs as those two solutions are at most provided for SMEs as economical BI solutions. For that purpose, a systematic review of the literature was conducted in two world- renowned databases of scientific papers, Web of Science and Scopus. The systematic literature review (SLR) was conducted within two named databases of scientific works on the topic of cloud and mobile BI functions adoption in SMEs. In this sense, the obtained results of the SLR method later were discussed in the paper. Results of the conducted SLR method, show how todays' SMEs at most adopt BI solutions in cloud environments due to the financial resources and human resources scarcity. Furthermore, various authors examined existing determinants that have an impact on the BI adoption project success in SMEs like top management support, skilled-human resources, and availability of technological solutions. SLR results also show that the most adopted BI function in SMEs is related to data analysis (e.g. data mining, OLAP, etc.). The paper ends with concluding remarks, recommendations for future research, and limitation of the existing one.

cloud ; mobile ; BI ; SME ; adoption

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