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Exploring the social mechanisms for variation reduction for direct store delivery (DSD) and vendor managed inventory performance: An integrated network governance and coordination theory perspective

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  • Stolze, Hannah J.
  • Brusco, Michael J.
  • Smith, Jeffery S.

Abstract

As business systems become more complex with retailers and manufacturers both competing in a dynamic environment, the reduction of operational variation has become crucial for both demand and inventory management. This is why many firms have undertaken lean or six-sigma programs as a means for understanding and addressing this variance. Much of this variation can be mitigated through the integration and coordination between entities in the supply chain through both human and technical systems. Coordination theory posits that there are common mechanisms for activity integration while network governance theory indicates that individuals can be relationally embedded through multiple types of connections. Most notably, individuals can utilize aspects of information sharing, trust, and problem solving to serve as human-oriented coordination mechanisms in order to enhance personal performance. This article models how the occurrence of multiple different layers of connectivity in human operational systems impacts variability in business process outcomes. Results from the social network analysis, utilizing both multi-modal blockmodeling and a multiple regression quadratic assignment procedure, indicate that information sharing, trust, and problem-solving network connectivity reduce sales performance variation, while joint-problem solving connections between individuals reduce the variance in inventory performance variation.

Suggested Citation

  • Stolze, Hannah J. & Brusco, Michael J. & Smith, Jeffery S., 2021. "Exploring the social mechanisms for variation reduction for direct store delivery (DSD) and vendor managed inventory performance: An integrated network governance and coordination theory perspective," International Journal of Production Economics, Elsevier, vol. 234(C).
  • Handle: RePEc:eee:proeco:v:234:y:2021:i:c:s0925527321000013
    DOI: 10.1016/j.ijpe.2021.108025
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    References listed on IDEAS

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    1. Horn, Philipp & Scheffler, Paul & Schiele, Holger, 2014. "Internal integration as a pre-condition for external integration in global sourcing: A social capital perspective," International Journal of Production Economics, Elsevier, vol. 153(C), pages 54-65.
    2. Iyer, Karthik N.S. & Srivastava, Prashant & Srinivasan, Mahesh, 2019. "Performance implications of lean in supply chains: Exploring the role of learning orientation and relational resources," International Journal of Production Economics, Elsevier, vol. 216(C), pages 94-104.
    3. Disney, S. M. & Towill, D. R., 2003. "The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains," International Journal of Production Economics, Elsevier, vol. 85(2), pages 199-215, August.
    4. Gérard P. Cachon & Marshall Fisher, 2000. "Supply Chain Inventory Management and the Value of Shared Information," Management Science, INFORMS, vol. 46(8), pages 1032-1048, August.
    5. Otsuka, Akimasa & Nagata, Fusaomi, 2018. "Quality design method using process capability index based on Monte-Carlo method and real-coded genetic algorithm," International Journal of Production Economics, Elsevier, vol. 204(C), pages 358-364.
    6. Prosser, Alexander & Nickl, Alexander, 1997. "The impact of EDI on interorganizational integration," International Journal of Production Economics, Elsevier, vol. 52(3), pages 269-281, October.
    7. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    8. Wu, Qing & Mu, Yinping & Feng, Yi, 2015. "Coordinating contracts for fresh product outsourcing logistics channels with power structures," International Journal of Production Economics, Elsevier, vol. 160(C), pages 94-105.
    9. Brusco, Michael & Doreian, Patrick & Lloyd, Paulette & Steinley, Douglas, 2013. "A variable neighborhood search method for a two-mode blockmodeling problem in social network analysis," Network Science, Cambridge University Press, vol. 1(2), pages 191-212, August.
    10. Motwani, Jaideep & Mirchandani, Dinesh & Madan, Manu & Gunasekaran, A., 2002. "Successful implementation of ERP projects: Evidence from two case studies," International Journal of Production Economics, Elsevier, vol. 75(1-2), pages 83-96, January.
    11. Hill, Craig A. & Zhang, G. Peter & Miller, Keith E., 2018. "Collaborative planning, forecasting, and replenishment & firm performance: An empirical evaluation," International Journal of Production Economics, Elsevier, vol. 196(C), pages 12-23.
    12. Li, Siyu & Zhao, Xiande & Huo, Baofeng, 2018. "Supply chain coordination and innovativeness: A social contagion and learning perspective," International Journal of Production Economics, Elsevier, vol. 205(C), pages 47-61.
    13. 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.
    14. Yusuf, Yahaya & Gunasekaran, A. & Abthorpe, Mark S., 2004. "Enterprise information systems project implementation:: A case study of ERP in Rolls-Royce," International Journal of Production Economics, Elsevier, vol. 87(3), pages 251-266, February.
    15. Goh, Shao Hung & Eldridge, Stephen, 2019. "Sales and Operations Planning: The effect of coordination mechanisms on supply chain performance," International Journal of Production Economics, Elsevier, vol. 214(C), pages 80-94.
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