Scandinavian Journal of Information Systems
Abstract
The most significant enterprise system topic over the last decade is business intelligence and analytics. Big data analytics is now viewed as a disruptive technology that will significantly transform business intelligence and analytics. Therefore, big data technology, as a way to analyze and comprehend turbulent environments, has attracted huge interest from researchers and practitioners. Such environments are highly challenging for enterprises; how can they deal with such turbulence and stay competitive? The valuable information that this technology can offer seems almost limitless. Can big data help organizations deal with turbulent environments, and if so, how? We address this question by closely examining the relations between (1) big data analytics capabilities and dynamic capabilities, (2) dynamic capabilities and competitive performance, (3) big data analytics capabilities and operational capabilities, and (4) operational capabilities and competitive performance. Big data analytics capabilities are necessary to use big data effectively. We developed a model with four hypotheses to investigate these relations. We conducted a survey among 107 respondents from the largest companies in the Nordic countries. All but one of our hypotheses were supported. This research contributes to a better understanding of how big data analytic investments support agile capabilities, in turn promoting competitive performance.
Recommended Citation
Danielsen, Frank; Olsen, D; and Framnes, Vetle Augustin
(2021)
"Toward an Understanding of Big Data Analytics and Competitive Performance,"
Scandinavian Journal of Information Systems: Vol. 33:
Iss.
1, Article 6.
Available at:
https://aisel.aisnet.org/sjis/vol33/iss1/6