EconPapers    
Economics at your fingertips  
 

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

Tekalign Lemma, Hirpa G. Lemu () and Endalkachew Mosisa Gutema
Additional contact information
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

Logistics, 2024, vol. 8, issue 4, 1-19

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.

Keywords: additive manufacturing; best practices; moderator; supply chain complexity; supply chain performance; structural equation modeling (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2305-6290/8/4/112/pdf (application/pdf)
https://www.mdpi.com/2305-6290/8/4/112/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jlogis:v:8:y:2024:i:4:p:112-:d:1515173

Access Statistics for this article

Logistics is currently edited by Ms. Mavis Li

More articles in Logistics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jlogis:v:8:y:2024:i:4:p:112-:d:1515173