Description
We are in the era of big data, and businesses are trying to become more data-driven and increase their decision making efficacy. However, there is little research that explores the dimensions of data-driven decision making (DDDM) capability. The authors analyze existing literature and summarizes four approaches to conceptualizing capabilities: unrelated, unidirectional, entanglement, and mixed. We then discuss the DDDM process and propose a multi-dimension construct of DDDM capability by following the process-based entanglement approach. The DDDM capability is conceptualized as a combination of data governance capability, data analytics capability, insight exploitation capability, performance management capability, and integration capability. Academic and managerial implications are also discussed._x000D_ _x000D_ Keywords: data-driven decision making capability, data-driven decision making process, data governance capability, data analytics capability, insight exploitation capability, performance management capability, integration capability. _x000D_
Recommended Citation
Jia, Lin; Hall, Dianne; and Song, Jiahe, "The Conceptualization of Data-driven Decision Making Capability" (2015). AMCIS 2015 Proceedings. 4.
https://aisel.aisnet.org/amcis2015/BizAnalytics/GeneralPresentations/4
The Conceptualization of Data-driven Decision Making Capability
We are in the era of big data, and businesses are trying to become more data-driven and increase their decision making efficacy. However, there is little research that explores the dimensions of data-driven decision making (DDDM) capability. The authors analyze existing literature and summarizes four approaches to conceptualizing capabilities: unrelated, unidirectional, entanglement, and mixed. We then discuss the DDDM process and propose a multi-dimension construct of DDDM capability by following the process-based entanglement approach. The DDDM capability is conceptualized as a combination of data governance capability, data analytics capability, insight exploitation capability, performance management capability, and integration capability. Academic and managerial implications are also discussed._x000D_ _x000D_ Keywords: data-driven decision making capability, data-driven decision making process, data governance capability, data analytics capability, insight exploitation capability, performance management capability, integration capability. _x000D_