Structural Equation Modeling In Digitised and Sustainable Supply Chains Research: A Bibliographic Review

Digital technologies and sustainability are the main trends that impact supply chains. This study seeks to expand the knowledge of Structural Equation Modeling (SEM) in digital and sustainable supply chains within social sciences, business and management fields. It presents a bibliometric analysis of the SEM statistical method applied to digitised and sustainable supply chain management. It also analyses the different types of SEM used: classic SEM, PLS-SEM, Bayesian SEM, and Multilevel SEM. The paper focuses on constructs and latent variables, dependent and independent variables, and the main theories utilised by other authors. Web of Science Core Collection is the source database, addressing these research areas. The results show that SEM, PLS-SEM and sustainability-related topics are analyzed mainly. The limitation is that the research focuses solely on one statistical method (SEM) to analyse digitised and sustainable supply chains, which could be solved in further studies.