Thesis
French
ID: <
10670/1.76rebe>
Abstract
Supply chain management is subject of particular interest to professionals and researchers especially in management science. It revolves around the sharing of resources and expertise between supply chain members, and the synergy that exists between them to collectively create value that is more than the sum of the values created separately by each member. This alliance, which requires collective cooperation in the creation and the equitable sharing of the value, is characterized by opportunistic behaviors that lead to failure, as illustrated by the Bullwhip effect. Thus, our objective is to analyze these behaviors in an attempt to understand their dynamics within the supply chain. In this regard, we rely on the perspective of social dilemmas to propose two mechanisms: a motivational mechanism (sharing the identity of the supply chain) and a structural mechanism (investment in relational resources) to discourage and reduce opportunism. To support our reasoning, these mechanisms are articulated to create social capital, facilitating supply chain management, in turn improving supply chain performance. This leads to the design of an integrative model of supply chain social dynamics. This was validated with a sample of 130 respondents (supply chain heads, logistics managers, etc.). The collected data were analyzed first by univariate analysis followed by principal component analysis to refine our scale. Second, we used PLS-PM (partial least squares regression) structural equation models to estimate, on one hand, the convergent and the discriminant validity of the measurement scales validity, and on the other hand, validate our research hypotheses on the antecedents and the consequences of social capital in the supply chain. The results of these analyses have allowed us to validate all the assumptions that the two mechanisms for resolving social dilemma help develop social capital within the supply chain, and act to lubricate inter-organizational relations, allowing improved supply chain performance.