TY - JOUR
T1 - Big Data and Predictive Analytics and Manufacturing Performance
T2 - Integrating Institutional Theory, Resource-Based View and Big Data Culture
AU - Dubey, Rameshwar
AU - Gunasekaran, Angappa
AU - Childe, Stephen J.
AU - Blome, Constantin
AU - Papadopoulos, Thanos
N1 - Publisher Copyright:
© 2019 British Academy of Management
PY - 2019/4
Y1 - 2019/4
N2 - The importance of big data and predictive analytics has been at the forefront of research for operations and manufacturing management. The literature has reported the influence of big data and predictive analytics for improved supply chain and operational performance, but there has been a paucity of literature regarding the role of external institutional pressures on the resources of the organization to build big data capability. To address this gap, this paper draws on the resource-based view of the firm, institutional theory and organizational culture to develop and test a model that describes the importance of resources for building capabilities, skills and big data culture and subsequently improving cost and operational performance. We test our research hypotheses using 195 surveys, gathered using a pre-tested questionnaire. Our contribution lies in providing insights regarding the role of external pressures on the selection of resources under the moderating effect of big data culture and their utilization for capability building, and how this capability affects cost and operational performance.
AB - The importance of big data and predictive analytics has been at the forefront of research for operations and manufacturing management. The literature has reported the influence of big data and predictive analytics for improved supply chain and operational performance, but there has been a paucity of literature regarding the role of external institutional pressures on the resources of the organization to build big data capability. To address this gap, this paper draws on the resource-based view of the firm, institutional theory and organizational culture to develop and test a model that describes the importance of resources for building capabilities, skills and big data culture and subsequently improving cost and operational performance. We test our research hypotheses using 195 surveys, gathered using a pre-tested questionnaire. Our contribution lies in providing insights regarding the role of external pressures on the selection of resources under the moderating effect of big data culture and their utilization for capability building, and how this capability affects cost and operational performance.
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U2 - 10.1111/1467-8551.12355
DO - 10.1111/1467-8551.12355
M3 - Article
AN - SCOPUS:85065401255
SN - 1045-3172
VL - 30
SP - 341
EP - 361
JO - British Journal of Management
JF - British Journal of Management
IS - 2
ER -