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dc.contributor.authorDubey, Ren
dc.contributor.authorGunasekaran, Aen
dc.contributor.authorChilde, Sen
dc.contributor.authorBlome, Cen
dc.contributor.authorPapadopoulos, Ten
dc.date.accessioned2019-02-19T17:06:27Z
dc.date.issued2019-05-08en
dc.identifier.issn1045-3172en
dc.identifier.urihttp://hdl.handle.net/10026.1/13321
dc.descriptionEmbargo 2 years from publication. "This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions."en
dc.description.abstract

The importance of big data and predictive analytics has been at the forefront of research for operations and manufacturing management. 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 moderating effect of big data culture and their utilisation for capability building, and how this capability affects cost and operational performance.

en
dc.format.extent341 - 361en
dc.language.isoenen
dc.publisherWileyen
dc.subjectBig Dataen
dc.subjectPredictive Analyticsen
dc.subjectInstitutional Theoryen
dc.subjectResource Based Viewen
dc.subjectManufacturing Performanceen
dc.subjectPLS SEMen
dc.titleBig Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource-Based View and Big Data Cultureen
dc.typeJournal Article
plymouth.issue2en
plymouth.volume30en
plymouth.journalBritish Journal of Managementen
dc.identifier.doi10.1111/1467-8551.12355en
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/00 Groups by role
plymouth.organisational-group/Plymouth/00 Groups by role/Academics
plymouth.organisational-group/Plymouth/Faculty of Business
plymouth.organisational-group/Plymouth/Faculty of Business/Plymouth Business School
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA17 Business and Management Studies
dcterms.dateAccepted2019-02-17en
dc.rights.embargodate2021-05-08en
dc.rights.embargoperiodNot knownen
rioxxterms.versionAMen
rioxxterms.versionofrecord10.1111/1467-8551.12355en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2019-05-08en
rioxxterms.typeJournal Article/Reviewen


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