This paper addresses an operational gap by uniquely integrating two epistemological frameworks actor-network theory (ANT) and system dynamics modeling – to investigate supply chains through an ANT lens. Specifically, this study examines the indigenous chicken sector as a case to model supply chain dynamics within the ANT framework.
Data are gathered from indigenous chicken farms using semi-structured interviews. A thematic analysis of the interviews identified both human and non-human actors. System dynamics modeling was then applied to analyze the intricate interactions within the actor-network.
System dynamics modeling was integrated into the ANT translation phase, providing deeper insight into actor networks within the supply chain. The emergent supply chain model makes a substantial contribution to supply chain management literature by proposing a system inclusive of human and non-human agents, adaptable to complex systems.
This study focuses on the indigenous chicken sector in Malaysia, suggesting the need for broader contextual validation.
This research contributes to the literature by operationalizing ANT through system dynamics modeling, offering a new approach to studying supply chains within an ANT framework. Methodologically, the study explains the integration of system dynamics into the ANT translation process.
