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Literature review on supply chain collaboration: comparison of various collaborative techniques

Author

Listed:
  • Nimmy J.S.
  • Arjun Chilkapure
  • V. Madhusudanan Pillai

Abstract

Purpose - The purpose of this paper is to create an understanding on the magnitude and dimension of supply chain collaboration (SCC) reported in the literature. The detailed review discusses various indicators that help companies to implement collaboration successfully and create awareness on the barriers faced while initiating collaboration in supply chain (SC). Design/methodology/approach - The meta-analysis includes full-text papers retrieved from the Web of Science database using verified keywords. The articles are reviewed for identifying the performance indicators used to evaluate the SC. The systematic review is performed for the collaborative techniques in the following categories: information sharing (IS); vendor managed inventory; and collaborative planning, forecasting and replenishment. The papers are then comprehensively analyzed for the approaches, and the key findings are mentioned along with the future scope. Findings - The review suggests that the SC relationship, trust, quality of IS and technological involvement are to be focused for successful implementation of the collaborative technique. Proper collaboration helps SC partners to enhance their technique of operations in an effective manner which results in high business turnovers. Originality/value - The review paper provides a quantitative study of SCC. A bird’s eye view of the scopes and benefits of using SCC for the academic scholars and industrial personnel are the primary concern discussed.

Suggested Citation

  • Nimmy J.S. & Arjun Chilkapure & V. Madhusudanan Pillai, 2019. "Literature review on supply chain collaboration: comparison of various collaborative techniques," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 16(4), pages 537-562, March.
  • Handle: RePEc:eme:jamrpp:jamr-10-2018-0087
    DOI: 10.1108/JAMR-10-2018-0087
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    Citations

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    Cited by:

    1. Büttner, Daniel & Scheidler, Anne Antonia & Rabe, Markus, 2021. "A reference model for data-driven sales planning: Development of the model's framework and functionality," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 441-476, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    2. Kidd, Martin P. & Borm, Peter, 2021. "On Determining Leading Coalitions in Supply Chains: Methodology and Application," Discussion Paper 2021-009, Tilburg University, Center for Economic Research.
    3. Weili Yin & Wenxue Ran, 2021. "Theoretical Exploration of Supply Chain Viability Utilizing Blockchain Technology," Sustainability, MDPI, vol. 13(15), pages 1-25, July.

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