literature review on supply chain management(scm)

This study contributes to the development of a theoretically and empirically grounded model of SCM practices and performance dyadic relationship. The study provides actionable insights and guidance to practitioners to improve various measures of supply chain performance.

This paper seeks to identify the contributions of artificial intelligence (AI) to supply chain management (SCM) through a systematic review of the existing literature. To address the current scientific gap of AI in SCM, this study aimed to determine the current and potential AI techniques that can enhance both the study and practice of SCM.

This paper attempts to rovide the reader a complete picture of supply chain management through a systematic literature review. It presents main activities of supply chain and the...

This study covers a decade of academic research in the Supply Chain Management (SCM) field, offering an in-depth analytical review focused on the existing trends and gaps in the supply chain literature.

This paper systematically analyzes the state-of-the-art of literature reviews on supply chain management (SCM) published in academic journals. First, we develop the methodology of this study and introduce a classification scheme for grouping and evaluating literature reviews.

The study is a systematic literature review of current state of research on the dyadic relationship of supply chain management practices with supply chain performance measures published in empirical research articles in literature.