Altmayer, Elisabeth; Grimm, Jörg (8 August 2023). The role of strategic consensus for effective sub-supplier management practices In: 83rd Annual Meeting of the Academy of Management: Proceedings. Boston. 4 August 2023 - 8 August 2023.
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Previous research on sub-supplier management still lacks empirical results regarding the effect on sub-supplier performance. Previous findings established the relevance of a buyer-sub-supplier strategic consensus for sub-supplier management performance. Within this paper, we are testing the role of a strategic consensus at the level of sourced material/product group between buyer and sub-supplier regarding its influence on the link between sub-supplier management practices and sub-supplier performance (regarding on-time delivery and quality). The authors analyze empirical connected multi-tier data (matched-triplets) within a structural equation model applying Bayesian estimation of parameters. The analysis includes 17 different sub-supplier management practices. Our results strongly support a model of a mediated effect of sub-supplier management practices on sub-supplier performance through buyer-sub-supplier strategic consensus at the level of sourced material/product group. By reflecting our findings with the supply chain practice view (SCPV), we contribute to and extend the existing frameworks regarding the effects of practices in multi-tier supply chains.
Item Type: |
Conference or Workshop Item (Paper) |
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Division/Institute: |
School of Engineering and Computer Science > Institute for Data Applications and Security (IDAS) School of Engineering and Computer Science > Institute for Data Applications and Security (IDAS) > IDAS / Management Science, Innovation, Sustainability and Entrepreneurship (MISE) School of Engineering and Computer Science |
Name: |
Altmayer, Elisabeth and Grimm, Jörg0000-0002-7559-9500 |
Language: |
English |
Submitter: |
Jörg Grimm |
Date Deposited: |
15 Jan 2024 16:20 |
Last Modified: |
15 Jan 2024 16:20 |
Uncontrolled Keywords: |
Sub-supplier, strategic consensus, sub-supplier management practice, Bayesian structural equation model, multi-tier supply chain management, supply chain practice view |
ARBOR DOI: |
10.24451/arbor.20997 |
URI: |
https://arbor.bfh.ch/id/eprint/20997 |