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We present a transdisciplinary modeling framework that enhances collaborative research on sustainable supply chain management ( SSCM ). Decision support concerning such systems is commonly provided using operations research ( OR ) methodologies. The quality of respective models depends on the appropriateness of both mathematical representation of the focal system and data input. Concerning this matter, OR faces severe criticism as groundwork is commonly neglected. This results in a lack of holistic understanding and in insufficient modeling of real‐world problems. Crucial characteristics of the underlying system are often over simplified due to single‐discipline assessments. Particularly, in the context of complex sustainability challenges, multiple nonacademic competencies and expertise are required. Although latest research indicates that collaborative research settings are highly beneficial regarding SSCM , a dearth of integration between disciplines exists. Therefore, we develop a conceptual framework that helps to overcome these shortcomings based on the paradigm of transdisciplinary research ( TDR ), which needs substantiation to enhance collaboration and to ensure applicability. Accordingly, we propose appropriate methodologies for each step within the framework. Overall, the framework enables holistic analysis of a focal system by providing a sound approach for SSCM ‐oriented TDR projects. The value of the framework is eventually demonstrated by two cases that deal with SSCM issues.
Stindt et al. (Tue,) studied this question.