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2015 | OriginalPaper | Buchkapitel

Big Data Analytics for Supply Chain Management: A Literature Review and Research Agenda

verfasst von : Samuel Fosso Wamba, Shahriar Akter

Erschienen in: Enterprise and Organizational Modeling and Simulation

Verlag: Springer International Publishing

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Abstract

The main objective of this study is to provide a literature review of big data analytics for supply chain management. A review of articles related to the topics was done within SCOPUS, the largest abstract and citation database of peer-reviewed literature. Our search found 17 articles. The distribution of articles per year of publication, subject area, and affiliation, as well as a summary of each paper are presented. We conclude by highlighting future research directions where the deployment of big data analytics is likely to transform supply chain management practices.

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Wamba, F.S., et al.: How big data can make big impact: findings from a systematic review and a longitudinal case study. Int. J. Prod. Econ. 165, 234–246 (2015)CrossRef

Strawn, G.O.: Scientific research: how many paradigms?. EDUCAUSE Rev. 47(3), 26 (2012)MathSciNet

Manyika, J., et al.: Big Data: the Next Frontier for Innovation, Competition and Productivity. McKinsey Global Institute, New York (2011)

Hagstrom, M.: High-performance analytics fuels innovation and inclusive growth: use big data, hyperconnectivity and speed to intelligence to get true value in the digital economy. J. Adv. Anal. 2, 3–4 (2012)

Sethuraman, M.S.: Big Data’s Impact on the Data Supply Chain, in Cognizant 20–20 Insights Cognizant, New Jersey (2012)

IDC, IDC Predictions 2015: Accelerating Innovation — and Growth — on the 3rd Platform (2015)

Wamba, F.S., et al.: Exploring the impact of RFID technology and the EPC network on mobile B2B ecommerce: a case study in the retail industry. Int. J. Prod. Econ. 112(2), 614–629 (2008)CrossRef

Nurmilaakso, J.-M.: Adoption of e-business functions and migration from EDI-based to XML-based e-business frameworks in supply chain integration. Int. J. Prod. Econ. 113(2), 721–733 (2008)CrossRef

Gunasekaran, A., Ngai, E.W.T.: Information systems in supply chain integration and management. Eur. J. Oper. Res. 159, 269–295 (2004)MathSciNetCrossRefMATH

10.

Ketchen, D.J.J., Hult, G.T.M.: Bridging organization theory and supply chain management: the case of best value supply chains. J. Oper. Manage. 25, 573–580 (2007)CrossRef

11.

Kenny, J.: Big data can have big impact on supply chain management: The use of data analytics is underused in supply chain management to minimize risk exposure. IC Inside Counsel (2014). Accessed on 17 February 2015 http://www.insidecounsel.com/2014/04/23/big-data-can-have-big-impact-on-supply-chain-manag

12.

Sahin, F., Robinson, E.P.: Flow coordination and information sharing in supply chains: review, implications, and directions for future research. Decis. Sci. 33(4), 505–536 (2002)CrossRef

13.

Saeed, K.A., Malhotra, M.K., Grover, V.: Examining the impact of interorganizational systems on process efficiency and sourcing leverage in buyer-supplier dyads. Decis. Sci. 36(3), 365–396 (2005)CrossRef

14.

Rai, A., Patnayakuni, R., Seth, N.: Firm performance impacts of digitally enabled supply chain integration capabilities. MIS Q. 30(2), 225–246 (2006)

15.

Eric, T.G.W., Hsiao-Lan, W.: Interorganizational Governance Value Creation: Coordinating for Information Visibility and Flexibility in Supply Chains*. Decis. Sci. 38(4), 647–674 (2007)CrossRef

16.

Wamba, F.S.: Achieving supply chain integration using RFID Technology: the case of emerging intelligent B-to-B e-commerce processes in a living laboratory. Bus. Process Manage. J. 18(1), 58–81 (2012)CrossRef

17.

Asoo, J.V.: e-business and supply chain management. Decis. Sci. 33(4), 495–504 (2002)CrossRef

18.

Johnston, H.R., Vitale, M.R.: Creating competitive advantage with inter-organizational information systems. MIS Q. 12(2), 153–165 (1988)CrossRef

19.

Devaraj, S., Krajewski, L., Wei, J.C.: Impact of eBusiness technologies on operational performance: the role of production information integration in the supply chain. J. Oper. Manage. 25(6), 1199–1216 (2007)CrossRef

20.

Vasan, S.: Impact of Big Data and Analytics in supply chain execution. Supply Chain Digital (2014). Accessed on 13 February 2015 http://www.supplychaindigital.com/logistics/3382/Impact-of-Big-Data-and-Analytics-in-supply-chain-execution

21.

Ngai, E.W.T., Wat, F.K.T.: A literature review and classification of electronic commerce research. Inf. Manag. 39(5), 415–429 (2002)CrossRef

22.

Wamba, F.S., Anand, A., Carter, L.: A literature review of RFID-enabled healthcare applications and issues. Int. J. Inf. Manage. 33(5), 875–891 (2013)CrossRef

23.

Brandau, A., Tolujevs, J.: Modelling and analysis of logistical state data. Transp. Telecommun. 14(2), 102–115 (2013)

24.

Fattah, A.: Going beyond data science toward an analytics ecosystem: Part 3. IBM Data Manage. Mag. 3, 8–11 (2014)

25.

Fawcett, S.E., Waller, M.A.: Supply chain game changers-mega, nano, and virtual trends-and forces that impede supply chain design (i.e., building a winning team). J. Bus. Logistics 35(3), 157–164 (2014)CrossRef

26.

Fawcett, S.E., Waller, M.A.: Can we stay ahead of the obsolescence curve? on inflection points, proactive preemption, and the future of supply chain management. J. Bus. Logistics 35(1), 17–22 (2014)CrossRef

27.

Groves, W., et al.: Agent-assisted supply chain management: analysis and lessons learned. Decis. Support Syst. 57(1), 274–284 (2014)MathSciNetCrossRef

28.

Hazen, B.T., et al.: Data quality for data science, predictive analytics, and big data in supply chain management: an introduction to the problem and suggestions for research and applications. Int. J. Prod. Econ. 154, 72–80 (2014)CrossRef

29.

Huang, Y.Y., Handfield, R.B.: Measuring the benefits of erp on supply management maturity model: a big data method. Int. J. Oper. Prod. Manage. 35(1), 2–25 (2015)CrossRef

30.

Jin, Y., Ji, S.: Partner choice of supply chain based on 3D printing and big data. Inf. Technol. J. 12(22), 6822–6826 (2013)CrossRef

31.

Kumar, A., Niu, F., RÉ, C.: Hazy: making it easier to build and maintain big-data analytics. Commun. ACM 56(3), 40–49 (2013)CrossRef

32.

Li, Y., Ren, N., Cao, M.: WBS data analysis method based on information supply Chain. J. Appl. Sci. 13(12), 2355–2358 (2013)CrossRef

33.

Sonka, S.: Big data and the ag sector: more than lots of numbers. Int. Food Agribusiness Manage. Rev. 17(1), 1–20 (2014)

34.

Tien, J.M.: The next industrial revolution: integrated services and goods. J. Syst. Sci. Syst. Eng. 21(3), 257–296 (2012)CrossRef

35.

Waller, M.A., Fawcett, S.E.: Data science, predictive analytics, and big data: A revolution that will transform supply chain design and management. J. Bus. Logistics 34(2), 77–84 (2013)CrossRef

36.

Waller, M.A., Fawcett, S.E.: Click here for a data scientist: big data, predictive analytics, and theory development in the era of a maker movement supply chain. J. Bus. Logistics 34(4), 249–252 (2013)CrossRef

37.

Wu, J., Ni, Y.H., Lv, Y.: Ontology-driven approach for distributed information processing in supply chain environment. Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) 48(11), 2017–2024 (2014)

38.

Yesudas, M., Menon, G., Ramamurthy, V.: Intelligent operational dashboards for smarter commerce using big data. IBM Journal of Research and Development 58(5–6), 6:1–6:12 (2014)

39.

Zhang, Q., et al.,: A case study of sensor data collection and analysis in smart city: Provenance in smart food supply chain. Int. J. of Distrib. Sens. Netw. Article ID 382132, 12 p. (2013). doi:10.1155/2013/382132

40.

Brock, J., et al.: Big Data’s Five Routes to Value: Opportunity Unlocked, In: FOCUS, The Boston Consulting Group, London (2013)

41.

Titel: Big Data Analytics for Supply Chain Management: A Literature Review and Research Agenda
verfasst von: Samuel Fosso Wamba
Shahriar Akter
Verlag: Springer International Publishing
Buch: Enterprise and Organizational Modeling and Simulation
Print ISBN: 978-3-319-24625-3

Electronic ISBN: 978-3-319-24626-0

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-24626-0_5

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