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

Eggert, Mathias; Alberts, Jens


Zusammenfassung
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

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



Publikationstyp
Aufsatz (Zeitschrift)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
2020

Fachzeitschrift
Business Research

Band
13

Ausgabe
2

Erste Seite
685

Letzte Seite
739

DOI