Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/233174 
Year of Publication: 
2020
Citation: 
[Journal:] Business Research [ISSN:] 2198-2627 [Volume:] 13 [Issue:] 2 [Publisher:] Springer [Place:] Heidelberg [Year:] 2020 [Pages:] 685-739
Publisher: 
Springer, Heidelberg
Abstract: 
Researching the field of business intelligence and analytics (BI & A) has a long tradition within information systems research. Thereby, in each decade the rapid development of technologies opened new room for investigation. Since the early 1950s, the collection and analysis of structured data were the focus of interest, followed by unstructured data since the early 1990s. The third wave of BI & A comprises unstructured and sensor data of mobile devices. The article at hand aims at drawing a comprehensive overview of the status quo in relevant BI & A research of the current decade, focusing on the third wave of BI & A. By this means, the paper's contribution is fourfold. First, a systematically developed taxonomy for BI & A 3.0 research, containing seven dimensions and 40 characteristics, is presented. Second, the results of a structured literature review containing 75 full research papers are analyzed by applying the developed taxonomy. The analysis provides an overview on the status quo of BI & A 3.0. Third, the results foster discussions on the predicted and observed developments in BI & A research of the past decade. Fourth, research gaps of the third wave of BI & A research are disclosed and concluded in a research agenda.
Subjects: 
Business intelligence
Big data
Data analytics
Literature review
Taxonomy development
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article

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