Big Data and supply chain management: a review and bibliometric analysis
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...
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| Veröffentlicht in: | Annals of operations research 2018-11, Vol.270 (1-2), p.313-336 |
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| container_title | Annals of operations research |
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| creator | Mishra, Deepa Gunasekaran, Angappa Papadopoulos, Thanos Childe, Stephen J. |
| description | 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. |
| doi_str_mv | 10.1007/s10479-016-2236-y |
| format | Article |
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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.</description><subject>Analysis</subject><subject>Analytics</subject><subject>Bibliometrics</subject><subject>Big Data</subject><subject>Big Data Analytics in Operations & Supply Chain Management</subject><subject>Business and Management</subject><subject>Clusters</subject><subject>Combinatorics</subject><subject>Data analysis</subject><subject>Data management</subject><subject>Data mining</subject><subject>Logistics</subject><subject>Operations research</subject><subject>Operations Research/Decision Theory</subject><subject>Search engines</subject><subject>Studies</subject><subject>Supply chain management</subject><subject>Supply chains</subject><subject>Theory of 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| subjects | Analysis Analytics Bibliometrics Big Data Big Data Analytics in Operations & Supply Chain Management Business and Management Clusters Combinatorics Data analysis Data management Data mining Logistics Operations research Operations Research/Decision Theory Search engines Studies Supply chain management Supply chains Theory of Computation |
| title | Big Data and supply chain management: a review and bibliometric analysis |
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