Skip to main content

Advertisement

SpringerLink
Log in

An integrated data analysis of configurations of supply chain integration

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

While some research contends that supply chain integration improves operations competency, other argues that the impact of supply chain integration on operations competency is less significant or not so clear. Based on empirical testing typologies and uncovering taxonomies, this paper examined the linkages among customer–supplier integration, supply chain process integration, cost competency, and flexibility competency empirically in strategic fit research and advances a new conceptual perspective to investigate supply chain integration. Using a sample of 124 organizations in the retailing industry, this paper found three configurations of supply chain integration with strategic fit to operational competencies for superior business performance. Case studies based on 56 organizations in three configurations were conducted to provide additional insights for strategic fit and we utilized multiple discriminant analysis to assess the validity of three configurations. We provide a new framework for theoretical advances in the supply chain integration field and help practitioners make decisions for strategic-fit supply chains across multiple departments.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Chuang, M., Donegan, J.J., Ganon, J.J., Wei, K.: Walmart and Carrefour experiences in China: resolving the structural paradox. Cross Cult. Manag. 18(4), 443–463 (2011)

    Article  Google Scholar 

  2. Jayaram, J., Xu, K., Nicolae, M.: The direct and contingency effects of supplier coordination and customer coordination on quality and flexibility performance. Int. J. Prod. Res. 49(1), 59–85 (2011)

    Article  Google Scholar 

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

    Article  Google Scholar 

  4. Lei, D., Goldhar, J.D.: Computer-integrated manufacturing: redefining the manufacturing firm into a global service business. Int. J. Oper. Prod. Manag. 11(10), 5–18 (1991)

    Article  Google Scholar 

  5. Patnayakuni, R., Rai, A., Seth, N.: Relational antecedents of information flow integration for supply chain coordination. J. Manag. Inf. Syst. 23(1), 13–49 (2006)

    Article  Google Scholar 

  6. Porter, M., Kramer, M.: Creating shared value: how to reinvent capitalism and unleash a wave of innovation and growth. Harvard Bus. Rev. 84(1–2), 62–77 (2011)

    Google Scholar 

  7. Avci, B., Girotra, K., Netessine, S.: Electric vehicles with a battery switching station: adoption and environmental impact. Manag. Sci. 61(4), 772–794 (2014)

    Article  Google Scholar 

  8. Rantasila, K., Ojala, L.: Measurement of national-level logistics costs and performance. In: 2012 Summit of the International Transport Forum, Seamless Transport: Making Connections, Leipzig, Germany (2006)

  9. Neely, A., Gregory, M., Platts, K.: Performance measurement system design: a literature review and research agenda. Int. J. Oper. Prod. Manag. 15(4), 80–116 (1995)

    Article  Google Scholar 

  10. Ettlie, J.E., Reza, E.: Organizational integration and process innovation. Acad. Manag. J. 35(4), 795–827 (1992)

    Google Scholar 

  11. Meyer, A.D., Tsui, A.S., Hinings, C.R.: Special research forum: configurational approaches to organization. Acad. Manag. 36(6), 1175–1195 (1993)

    Google Scholar 

  12. Miller, D., Friesen, P.H.: Organizations: A Quantum View. Prentice-Hall, Englewood-Cliffs (1984)

    Google Scholar 

  13. Bensaou, M., Venkatraman, N.: Configurations of inter-organizational relationships: a comparison between U.S. and Japanese automakers. Manag. Sci. 41, 1471–1492 (1995)

    Article  Google Scholar 

  14. Harrigan, K.R.: An application of clustering for strategic group analysis. Strateg. Manag. 6(1), 55–73 (1985)

    Article  Google Scholar 

  15. Miller, D., Friesen, P.H.: A longitudinal study of the corporate life cycle. Manag. Sci. 30(10), 1161–1183 (1984)

    Article  Google Scholar 

  16. Hambrick, D.C.: An empirical typology of mature industrial-product environments. Acad. Manag. J. 26(2), 213–230 (1983)

    Google Scholar 

  17. Ragin, C.: Redesigning social inquiry: fuzzy set and beyond. University of Chicago, Chicago (2008)

    Book  Google Scholar 

  18. Sarmah, S.P., Acharya, D., Goyal, S.K.: Buyer vendor coordination models in supply chain management. Eur. J. Oper. Res. 175(1), 1–15 (2006)

    Article  Google Scholar 

  19. Reardon, T., Timmer, C.P., Minten, B.: Supermarket revolution in Asia and emerging development strategies to include small farmers. Proc. Natl. Acad. Sci. 109(31), 12332–12337 (2012)

    Article  Google Scholar 

  20. Chen, Y., Wang, Y., Nevo, S., Jin, J., Wang, L., Chow, W.S.: IT capability and organizational performance: the roles of business process agility and environmental factors. Eur. J. Inf. Syst. 23(3), 326–342 (2014)

    Article  Google Scholar 

  21. Slack, N., Lewis, M.: Operations Strategy, 2nd edn. Pearson Education Limited, Essex (2008)

    Google Scholar 

  22. Lu, Y., Ramamurthy, K.: Understanding the link between information technology capability and organizational agility: an empirical examination. MIS Q. 35(4), 931–954 (2011)

    Article  Google Scholar 

  23. Gong, Y.: Global operations strategy: fundamentals and practice. Springer, Berlin (2013)

    Book  Google Scholar 

  24. Flynn, B.B., Huo, B., Zhao, X.: The impact of supply chain integration on performance: a contingency and configuration approach. J. Oper. Manag. 28(1), 58–71 (2010)

    Article  Google Scholar 

  25. Lee, S.G., Trimi, S., Kim, C.: The impact of cultural differences on technology adoption. J. World Bus. 48(1), 20–29 (1997)

    Article  Google Scholar 

  26. Miller, D.: An organizational configurations. Hum. Relat. 4(3), 771–789 (1990)

    Article  MathSciNet  Google Scholar 

  27. Lambert, D.M., Pohlen, T.L.: Supply chain metrics. Int. J. Logist. Manag. 12(1), 1–19 (2001)

    Article  Google Scholar 

  28. Muthulingam, S., Corbett, C., Benartzi, S., Oppenheim, B.: Energy efficiency in small and medium-sized manufacturing firms: Order effects and the adoption of process improvement recommendations. Manuf. Serv. Oper. Manag. 15(4), 596–615 (2013)

    Article  Google Scholar 

  29. Oh, C.H., Sohl, T., Rugman, A.M.: Regional and product diversification and the performance of retail multinationals. J. Int. Manag. 21(3), 220–234 (2015)

    Article  Google Scholar 

  30. Podsakoff, P.M., MacKenzie, S.B., Lee, J.Y., Podsakoff, N.P.: Common method biases in behavioral research: a critical review of the literature and recommended remedies. J. Appl. Psychol. 88(5), 879 (2003)

    Article  Google Scholar 

  31. Davidson, R., Mackinnon, J.G.: Econometrics Theory and Methods. Oxford University Press, New York (2004)

    Google Scholar 

  32. Friedman, J.: Regularized discriminant analysis. Publ. Am. Stat. Assoc. 84(405), 165–175 (2008)

    Article  MathSciNet  Google Scholar 

  33. Simonin, B.L.: Ambiguity and the process of knowledge transfer in strategic alliances. Strateg. Manag. J. 20(7), 595–623 (2015)

    Article  Google Scholar 

  34. Liu, R., Zeng, Y.R., Qu, H., et al.: Optimizing the new coordinated replenishment and delivery model considering quantity discount and resource constraints. Comput. Ind. Eng. 116, 82–96 (2018)

    Article  Google Scholar 

  35. Wang, L., Liu, R., Liu, S.: An effective and efficient fruit fly optimization algorithm with level probability policy and its applications. Knowl.-Based Syst. 97, 158–174 (2016)

    Article  Google Scholar 

Download references

Acknowledgements

This research acknowledge the support from National Natural Science Foundation of China (71620107002) and National Social Science Foundation of China (16ZDA013).

Author information

Authors and Affiliations

  1. School of Management, Huazhong University of Science and Technology, Wuhan, 430074, China

    Jiawen Liu & Jinlong Zhang

  2. EMLYON Business School, 23 Avenue Guy de Collogue, 69134, Ecully Cedex, France

    Yeming Gong

Authors
  1. Jiawen Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jinlong Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yeming Gong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jiawen Liu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, J., Zhang, J. & Gong, Y. An integrated data analysis of configurations of supply chain integration. Cluster Comput 22 (Suppl 3), 6393–6404 (2019). https://doi.org/10.1007/s10586-018-2139-6

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-018-2139-6

Keywords

Search

Navigation