How to improve firm performance using big data analytics capability and business strategy alignment?

被引:759
作者
Akter, Shahriar [1 ]
Wamba, Samuel Fosso [2 ]
Gunasekaran, Angappa [3 ]
Dubey, Rameshwar [4 ]
Childe, Stephen J. [5 ]
机构
[1] Univ Wollongong, Fac Business, Sch Management Operat & Mkt, Wollongong, NSW 2522, Australia
[2] Toulouse Univ, Toulouse Business Sch, 20 Blvd Lascrosses, F-31068 Toulouse, France
[3] Univ Massachusetts, Charlton Coll Business, N Dartmouth, MA 02747 USA
[4] Constituent Symbiosis Int Univ, Symbiosis Inst Operat Management, New Nashik 422008, India
[5] Univ Plymouth, Plymouth Business Sch, Plymouth PL4 8AA, Devon, England
关键词
Capabilities; Entanglement view; Big data analytics; Hierarchical modeling; INFORMATION-TECHNOLOGY; COMPETITIVE ADVANTAGE; PLS-SEM; IMPACT; PATH; COMPETENCE; AGILITY;
D O I
10.1016/j.ijpe.2016.08.018
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The recent interest in big data has led many companies to develop big data analytics capability (BDAC) in order to enhance firm performance (FPER). However, BDAC pays off for some companies but not for others. It appears that very few have achieved a big impact through big data. To address this challenge, this study proposes a BDAC model drawing on the resource-based theory (RBT) and the entanglement view of sociomaterialism. The findings show BDAC as a hierarchical model, which consists of three primary dimensions (i.e., management, technology, and talent capability) and 11 subdimensions (i.e., planning, investment, coordination, control, connectivity, compatibility, modularity, technology management knowledge, technical knowledge, business knowledge and relational knowledge). The findings from two Delphi studies and 152 online surveys of business analysts in the U.S. confirm the value of the entanglement conceptualization of the higher-order BDAC model and its impact on FPER. The results also illuminate the significant moderating impact of analytics capability-business strategy alignment on the BDAC-FPER relationship. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:113 / 131
页数:19
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