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Literature review of empirical studies on SCM using the SSPP paradigm

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  • Nakano, Mikihisa
  • Akikawa, Takuya

Abstract

This paper reviewed empirical literature on the relationship between strategy, structure, and/or processes in supply chains and performance using the Strategy–Structure–Processes–Performance (SSPP) paradigm. The literature was collected from the eight journals in the areas of logistics, operations, and supply chain management. As a result, most of the papers have focused on the relationship between supply chain processes and performance. In order to expand such a process-focused discussion into a comprehensive one that includes strategy and structure, the authors propose a framework on structure, processes, and performance that match with two generic supply chain strategies.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:proeco:v:153:y:2014:i:c:p:35-45
    DOI: 10.1016/j.ijpe.2014.04.001
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    References listed on IDEAS

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    1. Purvis, Laura & Gosling, Jonathan & Naim, Mohamed M., 2014. "The development of a lean, agile and leagile supply network taxonomy based on differing types of flexibility," International Journal of Production Economics, Elsevier, vol. 151(C), pages 100-111.
    2. Kim, Soo Wook, 2007. "Organizational structures and the performance of supply chain management," International Journal of Production Economics, Elsevier, vol. 106(2), pages 323-345, April.
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    7. Ben Naylor, J. & Naim, Mohamed M & Berry, Danny, 1999. "Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain," International Journal of Production Economics, Elsevier, vol. 62(1-2), pages 107-118, May.
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    9. Lin, Chinho & Chow, Wing S. & Madu, Christian N. & Kuei, Chu-Hua & Pei Yu, Pei, 2005. "A structural equation model of supply chain quality management and organizational performance," International Journal of Production Economics, Elsevier, vol. 96(3), pages 355-365, June.
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    3. Ortega-Jimenez, Cesar H. & Garrido-Vega, Pedro & Cruz Torres, Cristian Andrés, 2020. "Achieving plant responsiveness from reconfigurable technology: Intervening role of SCM," International Journal of Production Economics, Elsevier, vol. 219(C), pages 195-203.
    4. Zhipeng Zhou & Chaozhi Li & Chuanmin Mi & Lingfei Qian, 2019. "Exploring the Potential Use of Near-Miss Information to Improve Construction Safety Performance," Sustainability, MDPI, vol. 11(5), pages 1-21, February.

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