Theory in action: operationalizing actor-network theory with system dynamics to transform indigenous chicken supply chains

Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications This study focuses on the indigenous chicken sector in Malaysia, suggesting the need for broader contextual validation. Originality/value 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.