Show simple item record

dc.contributor.authorMishra, D
dc.contributor.authorGunasekaran, A
dc.contributor.authorPapadopoulos, T
dc.contributor.authorChilde, Stephen J
dc.date.accessioned2016-10-13T17:52:51Z
dc.date.available2016-10-13T17:52:51Z
dc.date.issued2016-06-06
dc.identifier.issn0254-5330
dc.identifier.issn1572-9338
dc.identifier.other1-2
dc.identifier.urihttp://hdl.handle.net/10026.1/6525
dc.description.abstract

As Big Data has undergone a transition from being an emerging topic to a growing research area, it has become necessary to classify the different types of research and examine the general trends of this research area. This should allow the potential research areas that for future investigation to be identified. This paper reviews the literature on ‘Big Data and supply chain management (SCM)’, dating back to 2006 and provides a thorough insight into the field by using the techniques of bibliometric and network analyses. We evaluate 286 articles published in the past 10 years and identify the top contributing authors, countries and key research topics. Furthermore, we obtain and compare the most influential works based on citations and PageRank. Finally, we identify and propose six research clusters in which scholars could be encouraged to expand Big Data research in SCM. We contribute to the literature on Big Data by discussing the challenges of current research, but more importantly, by identifying and proposing these six research clusters and future research directions. Finally, we offer to managers different schools of thought to enable them to harness the benefits from using Big Data and analytics for SCM in their everyday work.

dc.format.extent313-336
dc.languageen
dc.language.isoen
dc.publisherSpringer Science and Business Media LLC
dc.subjectBig Data
dc.subjectSupply chain management
dc.subjectBibliometric analysis
dc.subjectNetwork analysis
dc.titleBig Data and supply chain management: a review and bibliometric analysis
dc.typejournal-article
dc.typeReview
dc.typeJournal
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000445733300017&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue1-2
plymouth.volume270
plymouth.publication-statusPublished online
plymouth.journalAnnals of Operations Research
dc.identifier.doi10.1007/s10479-016-2236-y
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and Business
plymouth.organisational-group/Plymouth/Faculty of Arts, Humanities and 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
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dcterms.dateAccepted2016-05-16
dc.rights.embargodate2017-6-6
dc.identifier.eissn1572-9338
dc.rights.embargoperiod12 months
rioxxterms.versionofrecord10.1007/s10479-016-2236-y
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/under-embargo-all-rights-reserved
rioxxterms.licenseref.startdate2016-06-06
rioxxterms.typeJournal Article/Review


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record


All items in PEARL are protected by copyright law.
Author manuscripts deposited to comply with open access mandates are made available in accordance with publisher policies. Please cite only the published version using the details provided on the item record or document. In the absence of an open licence (e.g. Creative Commons), permissions for further reuse of content should be sought from the publisher or author.
Theme by 
Atmire NV