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Chain or Shackles: Understanding What Drives Supply-Chain Performance

Author

Listed:
  • Kamalini Ramdas

    (Darden Graduate School of Business, University of Virginia, Charlottesville, Virginia 22906)

  • Robert E. Spekman

    (Darden Graduate School of Business, University of Virginia)

Abstract

We relate an array of factors that embody current practice and thinking in supply-chain management with supply-chain performance. We measured supply-chain performance using a set of variables that capture the impact of supply-chain management on systemwide revenues and costs. We classified supply chains based on the products they support as inherently functional or inherently innovative. They differ in practices used and thinking. High performers among innovative-product supply chains use practices that enhance revenues more than high performers among functional product supply chains. They are more likely to engage in supply-chain management to enhance revenues. Finally, we found that the practices and reasons for engaging in supply-chain management that distinguish high performers from low performers are different for functional-and innovative-product supply chains.

Suggested Citation

  • Kamalini Ramdas & Robert E. Spekman, 2000. "Chain or Shackles: Understanding What Drives Supply-Chain Performance," Interfaces, INFORMS, vol. 30(4), pages 3-21, August.
    • Handle: RePEc:inm:orinte:v:30:y:2000:i:4:p:3-21
    DOI: 10.1287/inte.30.4.3.11644
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    References listed on IDEAS

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    Cited by:

    1. Nakano, Mikihisa & Akikawa, Takuya, 2014. "Literature review of empirical studies on SCM using the SSPP paradigm," International Journal of Production Economics, Elsevier, vol. 153(C), pages 35-45.
    2. Jammernegg, Werner & Kischka, Peter, 2005. "Dynamic, customer-oriented improvement of supply networks," European Journal of Operational Research, Elsevier, vol. 167(2), pages 413-426, December.
    3. Sener, Abdurrezzak & Barut, Mehmet & Oztekin, Asil & Avcilar, Mutlu Yuksel & Yildirim, Mehmet Bayram, 2019. "The role of information usage in a retail supply chain: A causal data mining and analytical modeling approach," Journal of Business Research, Elsevier, vol. 99(C), pages 87-104.
    4. Rajesh Katiyar & M. K. Barua & Purushottam L. Meena, 2018. "Analysing the Interactions Among the Barriers of Supply Chain Performance Measurement: An ISM with Fuzzy MICMAC Approach," Global Business Review, International Management Institute, vol. 19(1), pages 48-68, February.
    5. Ilkka Sillanpaa & Pekka Kess, 2011. "Supply Chain Performance Measurement Framework for Manufacturing Industries – A Theoretical Approach," MIC 2011: Managing Sustainability? Proceedings of the 12th International Conference, Portorož, 23–26 November 2011 [Selected Papers],, University of Primorska, Faculty of Management Koper.
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    9. Ivakina, A. & Zenkevich, N., 2018. "Working capital optimization under liquidity constraints in collaborative supply chains," Working Papers 15110, Graduate School of Management, St. Petersburg State University.
    10. Sujan Piya & Ahm Shamsuzzoha & Mohammad Khadem & Nasr Al-Hinai, 2020. "Identification of Critical Factors and Their Interrelationships to Design Agile Supply Chain: Special Focus to Oil and Gas Industries," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(3), pages 263-281, September.
    11. Hassan Keshavarz & Akbariah Mohd Mahdzir & Hosna Talebian & Neda Jalaliyoon & Naoki Ohshima, 2021. "The Value of Big Data Analytics Pillars in Telecommunication Industry," Sustainability, MDPI, vol. 13(13), pages 1-36, June.
    12. Um, Juneho & Lyons, Andrew & Lam, Hugo K.S. & Cheng, T.C.E. & Dominguez-Pery, Carine, 2017. "Product variety management and supply chain performance: A capability perspective on their relationships and competitiveness implications," International Journal of Production Economics, Elsevier, vol. 187(C), pages 15-26.
    13. Stadtler, Hartmut, 2005. "Supply chain management and advanced planning--basics, overview and challenges," European Journal of Operational Research, Elsevier, vol. 163(3), pages 575-588, June.
    14. Juneho Um, 2017. "The impact of supply chain agility on business performance in a high level customization environment," Operations Management Research, Springer, vol. 10(1), pages 10-19, June.
    15. Ogulin, R. & Selen, W. & Ashayeri, J., 2010. "Determinants of Informal Coordination in Networked Supply Chains," Discussion Paper 2010-133, Tilburg University, Center for Economic Research.
    16. Li, Gang & Yang, Hongjiao & Sun, Linyan & Ji, Ping & Feng, Lei, 2010. "The evolutionary complexity of complex adaptive supply networks: A simulation and case study," International Journal of Production Economics, Elsevier, vol. 124(2), pages 310-330, April.
    17. Chow, Wing S. & Madu, Christian N. & Kuei, Chu-Hua & Lu, Min H. & Lin, Chinho & Tseng, Hojung, 2008. "Supply chain management in the US and Taiwan: An empirical study," Omega, Elsevier, vol. 36(5), pages 665-679, October.
    18. Ogulin, R. & Selen, W. & Ashayeri, J., 2010. "Determinants of Informal Coordination in Networked Supply Chains," Other publications TiSEM 6bbf5984-752c-4760-b899-c, Tilburg University, School of Economics and Management.
    19. Burritt, Roger & Schaltegger, Stefan, 2014. "Accounting towards sustainability in production and supply chains," The British Accounting Review, Elsevier, vol. 46(4), pages 327-343.
    20. Yusuf, Yahaya Y. & Gunasekaran, Angappa & Musa, Ahmed & Dauda, Mohammed & El-Berishy, Nagham M. & Cang, Shuang, 2014. "A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 531-543.
    21. Jayaram, Jayanth & Xu, Kefeng, 2013. "The relative influence of external versus internal integration on plant performance in China," International Journal of Production Economics, Elsevier, vol. 146(1), pages 59-69.
    22. Aileen Lam, 2013. "Projections of future emissions and energy use from passenger cars as a result of policies in the EU with a dynamic model of technological change," 4CMR Working Paper Series 005, University of Cambridge, Department of Land Economy, Cambridge Centre for Climate Change Mitigation Research.
    23. Alaei, Saeed & Setak, Mostafa, 2015. "Multi objective coordination of a supply chain with routing and service level consideration," International Journal of Production Economics, Elsevier, vol. 167(C), pages 271-281.
    24. Arshinder & Kanda, Arun & Deshmukh, S.G., 2008. "Supply chain coordination: Perspectives, empirical studies and research directions," International Journal of Production Economics, Elsevier, vol. 115(2), pages 316-335, October.

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