Big Data‐Savvy Teams' Skills, Big Data‐Driven Actions and Business Performance. (8th May 2019)

• Record Type: Journal Article
• Authors: Akhtar, Pervaiz; Frynas, Jędrzej George; Mellahi, Kamel; Ullah, Subhan
• Other Names: Sena Vania guestEditor.; Bhaumik Sumon Kumar guestEditor.; Sengupta Abhijit guestEditor.; Demirbag Mehmet guestEditor.
• Is Part Of: British journal of management. Volume 30:Number 2(2019)
• Page Start: 252
• Page End: 271
• Publication Date: 2019-05-08
• Subjects: Management -- Periodicals; 658.00941
• DOI: 10.1111/1467-8551.12333
• Languages: English
• ISSNs: 1045-3172

Abstract

Abstract: Prior studies on big data analytics have emphasized the importance of specific big data skills and capabilities for organizational success; however, they have largely neglected to investigate the use of cross‐functional teams' skills and links to the role played by relevant data‐driven actions and business performance. Drawing on the resource‐based view (RBV) of the firm and on unique data collected from 240 big data experts working in global agrifood networks, we examine the links between the use of big data‐savvy (BDS) teams' skills, big data‐driven (BDD) actions and business performance. BDS teams depend on multi‐disciplinary skills (e.g. computing, mathematics, statistics, machine learning and business domain knowledge) that help them turn their traditional business operations into modern data‐driven insights (e.g. knowing real‐time price changes and customer preferences), leading to BDD actions that enhance business performance. Our results, raised from structural equation modelling, indicate that BDS teams' skills that produce valuable insights are the key determinants for BDD actions, which ultimately contribute to business performance. We further demonstrate that those organizations that emphasize BDD actions perform better compared to those that do not focus on such applications and relevant insights.