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Studying the Moderating Effects of Additive Manufacturing Best Practices Between Supply Chain Complexity and Its Performance

Author

Listed:
  • Tekalign Lemma

    (College of Engineering and Technology, Wollega University, Nekemte P.O. Box 395, Ethiopia)

  • Hirpa G. Lemu

    (Faculty of Science and Technology, University of Stavanger, 4036 Stavanger, Norway)

  • Endalkachew Mosisa Gutema

    (College of Engineering and Technology, Wollega University, Nekemte P.O. Box 395, Ethiopia
    Faculty of Science and Technology, University of Stavanger, 4036 Stavanger, Norway)

Abstract

Background: Supply chain performance (SCP) is impacted by complexity brought about by static and dynamic drivers. This study aims to investigate the effects of supply chain complexity (SCC) on SCP and ascertain whether additive manufacturing best practices have moderating effects on this relationship. Methods: Using data from 29 Ethiopian footwear industries and 205 respondents, the relationship established in the theoretical framework was validated using structural equation modelling (SEM). Results: The study’s findings provided several important insights. First, upstream supply chain complexity (USSCC), midstream supply chain complexity (MSSCC), and downstream supply chain complexity (DSSCC) negatively affect SCP. Second, additive manufacturing best practices have significant moderation effects between supply chain complexity and supply chain performance. Third, the negative impacts of USSCC and MSSCC on SCP are reduced at a higher level of additive manufacturing adaptation. The findings of this study also revealed that the effects of DSSCC on SCP have no difference at both low and high levels of additive manufacturing best practices. Conclusions: This work offers the first empirical investigation to which the detrimental effects of SCC on SCP are mitigated or improved through the moderating role of additive manufacturing best practice.

Suggested Citation

  • Tekalign Lemma & Hirpa G. Lemu & Endalkachew Mosisa Gutema, 2024. "Studying the Moderating Effects of Additive Manufacturing Best Practices Between Supply Chain Complexity and Its Performance," Logistics, MDPI, vol. 8(4), pages 1-19, November.
    • Handle: RePEc:gam:jlogis:v:8:y:2024:i:4:p:112-:d:1515173
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    References listed on IDEAS

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    1. Thonemann, Ulrich W. & Bradley, James R., 2002. "The effect of product variety on supply-chain performance," European Journal of Operational Research, Elsevier, vol. 143(3), pages 548-569, December.
    2. Tekalign Lemma Woldesilassiea & Hirpa G. Lemu & Endalkachew Mosisa Gutema, 2024. "Impacts of Adopting Additive Manufacturing Process on Supply Chain: Systematic Literature Review," Logistics, MDPI, vol. 8(1), pages 1-24, January.
    3. Wu, Y. & Frizelle, G. & Efstathiou, J., 2007. "A study on the cost of operational complexity in customer-supplier systems," International Journal of Production Economics, Elsevier, vol. 106(1), pages 217-229, March.
    4. Kamalini Ramdas & Mohanbir S. Sawhney, 2001. "A Cross-Functional Approach to Evaluating Multiple Line Extensions for Assembled Products," Management Science, INFORMS, vol. 47(1), pages 22-36, January.
    5. Archie Lockamy III & Paul Childerhouse & Stephen M. Disney & Denis R. Towill & Kevin McCormack, 2008. "The impact of process maturity and uncertainty on supply chain performance: an empirical study," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 15(1), pages 12-27.
    6. Bruce R Lewis & Gary F Templeton & Terry Anthony Byrd, 2005. "A methodology for construct development in MIS research," European Journal of Information Systems, Taylor & Francis Journals, vol. 14(4), pages 388-400, December.
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