Abstract
Race towards industry 4.0 increases the hyper competition and puts pressure on organizations to integrate the advanced technologies. Business intelligence system (BIS) is one of the top prioritized technologies that attracted the significant attention of policy-makers and industry experts due to its ability to provide more informed and intelligent knowledge for decision-making processes. It is evident by literature that organizations and industries are prone to integrate the BIS at large scale, but more than 70% BIS projects fail to give the expected results. Hence, it is pertinent to explore the significant determinants that influence the BIS adoption and acceptance in organizations. Although previous literature did not have any comprehensive review relevant to the individual, technological, organizational, and environmental determinants. Therefore, the current study tries to narrow this gap by a systematic literature review (SLR) of 84 studies that were published during the period of 2011–2020. A total of 93 determinants are identified based on content analysis by using text mining techniques of Yoshikoder and human coding skills. The identified determinants are ranked according to their frequency of use. A theoretical framework has been developed with potential determinants and theories. The study results will enrich the recent BIS literature and improve the understanding of practitioners’ decision-making processes to leverage maximum value from the adoption of BIS.
Highlights
Business environments are becoming complex in the era of Industry 4.0
From 2000 to 2009, researchers had mostly focused on components of the Business Intelligence Systems (BIS) such as online analytical processing (OLAP) and data warehouse (DW) or some other tools such as dashboards etc
Many researchers believed that BIS adoption and BIS acceptance words are used in the same context but results of the current review study contradict this perception by exploring the application of different theories and determinants which were used for each category independently
Summary
Business environments are becoming complex in the era of Industry 4.0. Enterprises need advanced innovations and technologies for quick response to the dynamic markets [1,2]. The emergence of Business Intelligence Systems (BIS) is led by the rapid growth of technology and diffusion of the internet in the mid-90s [3,4]. BIS is generally known as a complete suite of tools, techniques, and methodologies that enable the firms to integrate and analyze large data sets in order to identify. Sci. 2020, 10, 3208 their weakness, strengths, and opportunities [5,6,7]. BIS is an information system (IS) that facilitates decision-making by (i) management, aggregation and integration of unstructured and structured data,
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