Description
Big data are challenging organizations to find a thoughtful, holistic approach to data, analysis and information management to facilitate timely and sound decisions making, and in turn to gain competitive advantages. Managing big data is not a simple technical issue, but a complex managerial and strategic one. To achieve the vast potential of big data not only will enterprise IT architectures need to change, firms also need a new strategy, a new mind set, and a capability to deal with unexpected environmental turbulence. In this paper, we present a conceptual model and a novel analysis method, fuzzy set Qualitative Comparative Analysis to model interdependent non-linear relationships among elements and outcomes. We posit that data management strategy, big data competences, IT capability and organization improvisational capability are interdependent and mutual reinforcing that form a network of nonlinear influential factors for firm decision quality and in turn, performance.
Recommended Citation
Kung, LeeAnn; Kung, Hsiang-Jui; Jones-Farmer, Allison; and Wang, YiChuan, "Managing Big Data for Firm Performance: a Configurational Approach" (2015). AMCIS 2015 Proceedings. 9.
https://aisel.aisnet.org/amcis2015/BizAnalytics/GeneralPresentations/9
Managing Big Data for Firm Performance: a Configurational Approach
Big data are challenging organizations to find a thoughtful, holistic approach to data, analysis and information management to facilitate timely and sound decisions making, and in turn to gain competitive advantages. Managing big data is not a simple technical issue, but a complex managerial and strategic one. To achieve the vast potential of big data not only will enterprise IT architectures need to change, firms also need a new strategy, a new mind set, and a capability to deal with unexpected environmental turbulence. In this paper, we present a conceptual model and a novel analysis method, fuzzy set Qualitative Comparative Analysis to model interdependent non-linear relationships among elements and outcomes. We posit that data management strategy, big data competences, IT capability and organization improvisational capability are interdependent and mutual reinforcing that form a network of nonlinear influential factors for firm decision quality and in turn, performance.