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The role of coherent supply chain strategy and performance management in achieving competitive advantage: an international survey

Author

Listed:
  • A Harrison

    (Cranfield University)

  • C New

    (Cranfield University)

Abstract

The results of a major international survey into the relationship between corporate strategy, supply chain strategy and supply chain performance management are reported. Five clearly defined groups are identified: Supply Chain Leaders, Strong and Weak Players, Lagging Players and Non-players. Those business units that report a close link between their supply chain strategy and their supply chain technology, in comparison with those that report a weaker link, displayed a consistent set of characteristics. They rate supply chain strategy as more important for corporate strategy. They have a relatively sophisticated definition of their supply chain strategy. They think their supply chain is more important in achieving competitive advantage, they have invested more in supply chain infrastructure and IT support and they have more formal means of assessing their supply chain performance. There is evidence of inconsistency in the way many businesses relate their supply chain, corporate, and investment strategy.

Suggested Citation

  • A Harrison & C New, 2002. "The role of coherent supply chain strategy and performance management in achieving competitive advantage: an international survey," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(3), pages 263-271, March.
    • Handle: RePEc:pal:jorsoc:v:53:y:2002:i:3:d:10.1057_palgrave.jors.2601193
    DOI: 10.1057/palgrave.jors.2601193
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    Citations

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    Cited by:

    1. Ilkka Sillanpää & Sebastian Sillanpää, 2014. "Supply Chain Strategy: Empirical Case Study in Europe and Asia," Management, University of Primorska, Faculty of Management Koper, vol. 9(2), pages 95-115.
    2. Jianxiong Zhang & Lin Feng & Wansheng Tang, 2014. "Optimal Contract Design of Supplier-Led Outsourcing Based on Pontryagin Maximum Principle," Journal of Optimization Theory and Applications, Springer, vol. 161(2), pages 592-607, May.
    3. Zhou, Honggeng & Shou, Yongyi & Zhai, Xin & Li, Ling & Wood, Craig & Wu, Xiaobo, 2014. "Supply chain practice and information quality: A supply chain strategy study," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 624-633.
    4. Perez-Franco, R. & Phadnis, S. & Caplice, C. & Sheffi, Y., 2016. "Rethinking supply chain strategy as a conceptual system," International Journal of Production Economics, Elsevier, vol. 182(C), pages 384-396.
    5. Kleijnen, J.P.C. & Smits, M.T., 2003. "Performance metrics in supply chain management," Other publications TiSEM 80777aed-0c9f-4ded-b0bb-f, Tilburg University, School of Economics and Management.
    6. Li, Xiang, 2017. "A fair evaluation of certain stage in a two-stage structure: revisiting the typical two-stage DEA approaches," Omega, Elsevier, vol. 68(C), pages 155-167.
    7. Liliana Avelar-Sosa & Jorge L. García-Alcaraz & José M. Mejía-Muñoz & Aidé A. Maldonado-Macías & Giner Alor Hernández, 2018. "Government Support and Market Proximity: Exploring Their Relationship with Supply Chain Agility and Financial performance," Sustainability, MDPI, vol. 10(7), pages 1-20, July.
    8. Schnetzler, Matthias J. & Sennheiser, Andreas & Schonsleben, Paul, 2007. "A decomposition-based approach for the development of a supply chain strategy," International Journal of Production Economics, Elsevier, vol. 105(1), pages 21-42, January.
    9. Elgazzar, Sara H. & Tipi, Nicoleta S. & Hubbard, Nick J. & Leach, David Z., 2012. "Linking supply chain processes’ performance to a company’s financial strategic objectives," European Journal of Operational Research, Elsevier, vol. 223(1), pages 276-289.
    10. Jafarian, Ahmad & Rabiee, Meysam & Tavana, Madjid, 2020. "A novel multi-objective co-evolutionary approach for supply chain gap analysis with consideration of uncertainties," International Journal of Production Economics, Elsevier, vol. 228(C).
    11. Mojtaba Azizian & Mohammad Mehdi Sepehri & Mohammad Ali Rastegar, 2022. "A Convex Dynamic Approach for Globally Optimal Profit in Supply Chains," Mathematics, MDPI, vol. 10(3), pages 1-19, February.
    12. J P C Kleijnen & M T Smits, 2003. "Performance metrics in supply chain management," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(5), pages 507-514, May.
    13. Tobias Stangl & Ulrich W. Thonemann, 2017. "Equivalent Inventory Metrics: A Behavioral Perspective," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 472-488, July.
    14. Saromi Newton & Sahayaselvi Susainathan & Hesil Jerda George & Majdi Quttainah & Satyanarayana Parayitam, 2024. "Top Management Commitment as a Moderator in the Relationship Between Green Banking Adoption Practices and Performance: Evidence from India," Indian Journal of Corporate Governance, , vol. 17(1), pages 33-62, June.
    15. Yuyan Wang & Zhaoqing Yu & Liang Shen & Yan Ge & Jing Li, 2018. "Different Dominant Models and Fairness Concern of E-Supply Chain," Complexity, Hindawi, vol. 2018, pages 1-13, December.

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