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Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource-Based View and Big Data Culture

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource-Based View and Big Data Culture. / Dubey, Rameshwar; Gunasekaran, Angappa; Childe, Stephen J. et al.
In: British Journal of Management, Vol. 30, No. 2, 30.04.2019, p. 341-361.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Dubey, R, Gunasekaran, A, Childe, SJ, Blome, C & Papadopoulos, T 2019, 'Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource-Based View and Big Data Culture', British Journal of Management, vol. 30, no. 2, pp. 341-361. https://doi.org/10.1111/1467-8551.12355

APA

Dubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019). Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource-Based View and Big Data Culture. British Journal of Management, 30(2), 341-361. https://doi.org/10.1111/1467-8551.12355

Vancouver

Dubey R, Gunasekaran A, Childe SJ, Blome C, Papadopoulos T. Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource-Based View and Big Data Culture. British Journal of Management. 2019 Apr 30;30(2):341-361. doi: 10.1111/1467-8551.12355

Author

Dubey, Rameshwar ; Gunasekaran, Angappa ; Childe, Stephen J. et al. / Big Data and Predictive Analytics and Manufacturing Performance : Integrating Institutional Theory, Resource-Based View and Big Data Culture. In: British Journal of Management. 2019 ; Vol. 30, No. 2. pp. 341-361.

Bibtex

@article{a3e953785c18428c868c904850832817,
title = "Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource-Based View and Big Data Culture",
abstract = "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.",
author = "Rameshwar Dubey and Angappa Gunasekaran and Childe, {Stephen J.} and Constantin Blome and Thanos Papadopoulos",
note = "Publisher Copyright: {\textcopyright} 2019 British Academy of Management",
year = "2019",
month = apr,
day = "30",
doi = "10.1111/1467-8551.12355",
language = "English",
volume = "30",
pages = "341--361",
journal = "British Journal of Management",
issn = "1045-3172",
publisher = "Blackwell Publishing Ltd",
number = "2",

}

RIS

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 - 2019/4/30

Y1 - 2019/4/30

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.

U2 - 10.1111/1467-8551.12355

DO - 10.1111/1467-8551.12355

M3 - Journal article

AN - SCOPUS:85065401255

VL - 30

SP - 341

EP - 361

JO - British Journal of Management

JF - British Journal of Management

SN - 1045-3172

IS - 2

ER -