Managing Big Data for Firm Performance: a Configurational Approach
Document Type
Conference Proceeding
Publication Date
2015
Publication Title
Twenty-first Americas Conference on Information Systems Proceedings
Abstract
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, Hsiang-Jui Kung, Allison Jones-Farmer, YiChuan Wang.
2015.
"Managing Big Data for Firm Performance: a Configurational Approach."
Twenty-first Americas Conference on Information Systems Proceedings: AIS eLibrary.
source: https://aisel.aisnet.org/amcis2015/BizAnalytics/GeneralPresentations/9/
https://digitalcommons.georgiasouthern.edu/info-sys-facpubs/183
