大数据
独创性
数据科学
价值(数学)
知识管理
计算机科学
现存分类群
创造力
心理学
数据挖掘
社会心理学
机器学习
进化生物学
生物
作者
Xiaobo Wu,Liping Liang,Siyuan Chen
出处
期刊:Management Decision
[Emerald (MCB UP)]
日期:2022-01-07
卷期号:60 (3): 707-734
被引量:15
标识
DOI:10.1108/md-09-2021-1199
摘要
Purpose As various different and even contradictory concepts are proposed to depict a firm's capabilities related to big data, and extant relevant research is fragmented and scattered in several disciplines, there is currently a lack of holistic and comprehensive understanding of how big data alters value creation by facilitating firm capabilities. To narrow this gap, this study aims to synthesize current knowledge on the firm capabilities and transformation of value creation facilitated by big data. Design/methodology/approach The authors adopt an inductive and rigorous approach to conduct a systematic review of 185 works, following the “Grounded Theory Literature-Review Method”. Findings The authors introduce and develop the concept of big data competency, present an inductive framework to open the black box of big data competency following the logic of virtual value chain, provide a structure of big data competency that consists of two dimensions, namely, big data capitalization and big data exploitation, and further explain the evolution of value creation structure from value chain to value network by connecting the attributes of big data competency (i.e. connectivity and complementarity) with the transformation of value creation (i.e. optimizing and pioneering). Originality/value The big data competency, an inclusive concept of firm capabilities to deal with big data, is proposed. Based on this concept, the authors highlight the significant contributions that extant research has made toward our understanding of how big data alters value creation by facilitating firm capabilities. Besides, the authors provide a future research agenda that academics can rely on to study the strategic management of big data.
科研通智能强力驱动
Strongly Powered by AbleSci AI