The impact of big data on world-class sustainable manufacturing

Dubey, Rameshwar; Gunasekaran, Angappa; Childe, Stephen J.; Wamba, Samuel Fosso; Παπαδόπουλος, Θάνος

doi:10.1007/s00170-015-7674-1

Cited by 285 publications

(186 citation statements)

References 95 publications

Supporting

Mentioning

172

Contrasting

Unclassified

Order By: Relevance

“…Indeed, BDA is reported to be an emerging SC game changer (Fawcett and Waller, 2014;Dubey et al, 2016), enabling companies to excel in the current fast-paced and ever-changing market environment. Empirical evidence demonstrates multiple advantages of BDA in SCM including reduced operational costs, improved SC agility, and increased customer satisfaction (Sheffi, 2015;Ramanathan et al, 2017) and consequently, there is an increasing interest in identifying a specific skill set for SCM data scientists (Waller and Fawcett, 2013;Schoenherr and Speier-Pero, 2015).…”

Section: Introductionmentioning

confidence: 99%

Big data analytics in supply chain management: A state-of-the-art literature review

Nguyen

Zhou

Spiegler

et al. 2018

Computers & Operations Research

414

238

View full text Add to dashboard Cite

Abstract:The rapidly growing interest from both academics and practitioners in the application of big data analytics (BDA) in supply chain management (SCM) has urged the need for review of up-to-date research development in order to develop a new agenda. This review responds to the call by proposing a novel classification framework that provides a full picture of current literature on where and how BDA has been applied within the SCM context. The classification framework is structurally based on the content analysis method of Mayring (2008) techniques are employed to develop these models? The discussion tackling these four questions reveals a number of research gaps, which leads to future research directions.

show abstract

Section: Introductionmentioning

confidence: 99%

Big data analytics in supply chain management: A state-of-the-art literature review

Nguyen

Zhou

Spiegler

et al. 2018

Computers & Operations Research

414

238

View full text Add to dashboard Cite

show abstract

“…Researchers (Chen et al 2012;Fosso-Wamba et al 2015;Dubey et al 2015;Wang et al 2016;Song et al 2016) have endeavoured to explore different dimensions of Big Data and capture the potential benefits to supply chain management (SCM). It is important for supply chain managers to understand the role of Big Data in enhancing the efficiency and profitability of a firm.…”

Section: Introductionmentioning

confidence: 99%

Big Data and supply chain management: a review and bibliometric analysis

et al. 2016

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…Within operations and supply chains BD&A also has potential (Dubey et al, 2015). At the strategic level, BD&A can drive decision-making with regard to future activities and processes such as strategic sourcing, supply chain network design, and product design and development.…”

Section: Introductionmentioning

confidence: 99%