Implementing mixed methods research in supply chain management

Purpose The purpose of this paper is to describe how to implement mixed methods research in supply chain management. Design/methodology/approach A review of past journal analyses on research methods used in supply chain management‐related disciplines is conducted to demonstrate the low incidence of mixed methods research in supply chain management. Drawing from literature on multiple and mixed methods research, the paper provides guidelines for designing and reporting such studies. Findings Knowledge development in logistics and supply chain management relies primarily on single‐method quantitative research designs, while mixed methods approaches are rarely used. Thus, there is a significant opportunity to advance the discipline through the rigorous application of mixed methods research. Research limitations/implications Supply chain management phenomena are complex and dynamic. Thus, the application of mixed methods research would serve the advancement of the discipline as these approaches provide richer understanding and more robust explanations of such phenomena. Practical implications If supply chain research is to keep up with the dynamic business environment, research methods must be applied with the capability to fully explain supply chain phenomena. The application of a single‐method research approach is not always adequate for this task. Originality/value This paper is the first to draw on research from various disciplines to investigate the use of mixed methods in logistics and supply chain management research. It examines its prevalence in the discipline, provides examples of its application from the supply chain management literature, prescribes how to implement mixed methods research, and describes the benefits and limitations of such designs.