Abstract
AbstractResearching 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.
Publisher
Springer Science and Business Media LLC
Subject
Business, Management and Accounting (miscellaneous)
Reference123 articles.
1. Abbasi, A., S. Sarker, and R.H.L. Chiang. 2016. Big data research in information systems: toward an inclusive research agenda. Journal of the Association for Information Systems 17 (2): i–xxxii. https://doi.org/10.17705/1jais.00423.
2. Akhbar, F., V. Chang, Y. Yao, and V. Méndez Muñoz. 2016. Outlook on moving of computing services towards the data sources. International Journal of Information Management 36: 645–652. https://doi.org/10.1016/j.ijinfomgt.2016.03.014.
3. Akter, S., and S.F. Wamba. 2016. Big data analytics in E-commerce: a systematic review and agenda for future research. Electronic Markets 26 (2): 173–194. https://doi.org/10.1007/s12525-016-0219-0.
4. Armbrust, M., I. Stoica, M. Zaharia, A. Fox, R. Griffith, A.D. Joseph, R. Katz, A. Konwinski, G. Lee, D. Patterson, and A. Rabkin. 2010. A view of cloud computing. Communications of the ACM 53 (4): 50–58. https://doi.org/10.1145/1721654.1721672.
5. Baars, H., and J. Ereth. 2016. From data warehouses to analytical atoms: the internet of things as a centrifugal force in business intelligence and analytics. In Proceedings of the 24th European Conference on Information Systems 2016, Istanbul, Turkey. June 12–15.
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