The Effect of Buyer–Sub-Supplier Strategic Consensus on Sub-Supplier Performance

Altmayer, Elisabeth; Grimm, Jörg (1 August 2022). The Effect of Buyer–Sub-Supplier Strategic Consensus on Sub-Supplier Performance Academy of Management Proceedings, 2022(1), pp. 1-40. 10.5465/AMBPP.2022.17812abstract

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This paper aims at investigating the effect of inter-organizational strategic consensus on a strategy group level between buyer and sub-supplier regarding its effect on sub-supplier performance. The authors analyze empirical connected multi-tier data (matched-triplets) within a structural equation model applying Bayesian estimation of parameters. This analysis takes into account both a competitive method consensus and consensus on objectives between supply chain actors on category group level, sub-supplier performance (regarding on-time delivery and quality) under the influence of relevant contingency factors. Results confirm a cause-effect between buyer-sub-supplier consensus on objectives on category group level and sub-supplier performance regarding quality and on-time delivery. Furthermore results indicate, that inter-organizational strategic consensus on objectives between buyer and sub-supplier on category group level fully mediates the effect of buyer-sub-supplier competitive method consensus on sub-supplier performance.

Item Type:	Conference or Workshop Item (Paper)
Division/Institute:	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; Grimm, Jörg0000-0002-7559-9500 and Taneja, Sonia
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
ISSN:	0065-0668
Submitter:	Jörg Grimm
Date Deposited:	13 Jan 2023 11:02
Last Modified:	13 Jan 2023 11:02
Publisher DOI:	10.5465/AMBPP.2022.17812abstract
Uncontrolled Keywords:	sub-supplier, strategic consensus, multi-tier supply chain management, Bayesian structural, equation model
URI:	https://arbor.bfh.ch/id/eprint/18597