Frontiers of business intelligence and analytics 3.0: a taxonomy-based literature review and research agenda

Eggert, Mathias; Alberts, Jens


Abstract
Abstract: Researching the field of business intelligence and analytics (BI & A) hasa long tradition within information systems research. Thereby, in each decade therapid development of technologies opened new room for investigation. Since theearly 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 & Acomprises unstructured and sensor data of mobile devices. The article at hand aimsat drawing a comprehensive overview of the status quo in relevant BI & A researchof the current decade, focusing on the third wave of BI & A. By this means, thepaper'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 researchpapers are analyzed by applying the developed taxonomy. The analysis provides anoverview on the status quo of BI & A 3.0. Third, the results foster discussions on thepredicted 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 aresearch agenda

Keywords
Business intelligence; Big data; Data analytics; Literaturereview; Taxonomy development



Publication type
Forschungsartikel (Zeitschrift)

Peer reviewed
Yes

Publication status
Published

Year
2020

Journal
Business Research

Volume
13

Issue
2

Start page
685

End page
739

Language
English

ISSN
2198-3402

DOI