Refine
Year of publication
Institute
- Fachbereich Wirtschaftswissenschaften (1164) (remove)
Language
- German (935)
- English (222)
- Portuguese (6)
- Spanish (1)
Document Type
- Article (704)
- Book (222)
- Part of a Book (74)
- Conference Proceeding (73)
- Other (48)
- Review (13)
- Working Paper (9)
- Contribution to a Periodical (5)
- Doctoral Thesis (5)
- Lecture (5)
Keywords
- Führung (8)
- Leadership (8)
- Telekommunikationsmarkt (6)
- Datenschutz (5)
- Motivation (5)
- Betriebswirtschaftslehre (4)
- Finanzierung (4)
- Liquiditätspolitik (4)
- Datenschutzgrundverordnung (3)
- Self-Leadership (3)
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.
In the past decade, many IS researchers focused on researching the phenomenon of Big Data. At the same time, the relevance of data protection gets more attention than ever before. In particular, since the enactment of the European General Data Protection Regulation in May 2018 Information Systems research should provide answers for protecting personal data. The article at hand presents a structuring framework for Big Data research outcome and the consideration of data protection. IS Researchers might use the framework in order to structure Big Data literature and to identify research gaps that should be addressed in the future.