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Examining the Link between the Governance Mechanisms and Supply Chain Performance — an Empirical Study within the Triadic Context Cover

Examining the Link between the Governance Mechanisms and Supply Chain Performance — an Empirical Study within the Triadic Context

By: Artur Swierczek  
Open Access
|Nov 2019

Abstract

The goal of the research is twofold. First, it aims to reveal the basic modes of governance run by the manufacturer across the examined triadic supply chains. Secondly, the paper compares the groups of triadic supply chains, applying certain modes of governance, including network governance, in terms of the relational benefits and supply chain performance. To investigate the relationship between network governance and the supply chain performance, the Principal Component Analysis (PCA) with Varimax Rotation was used, followed by the cluster analysis and non-parametric tests. The study showed that the triadic supply chains significantly differentiate in terms of the modes of governance. Further findings also indicated that the triadic supply chains that follow the network governance mode consider their performance to be significantly higher in comparison to the supply chains that do not run this type of governance mechanism. Firstly, the research showed that it is difficult to unequivocally reveal the pure mechanisms of governance, undistorted by the influence of another distinct mode in the triadic supply chains. On the contrary, they are more or less influenced by other modes of governance distinguished in the literature. Likewise, it is also important to highlight that the mechanism of governance is inseparably bound with a certain dyadic relationship established between two actors in the wider structure of supply chains. The study also showed that incorporating a clan as a social mechanism of governance together with a market and hierarchy results in increasing the relational benefits and overall performance for both dyads in the triadic supply chains.

DOI: https://doi.org/10.2478/emj-2019-0026 | Journal eISSN: 2543-912X | Journal ISSN: 2543-6597
Language: English
Page range: 117 - 131
Submitted on: Apr 10, 2019
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Accepted on: Aug 20, 2019
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Published on: Nov 19, 2019
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Artur Swierczek, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.