Theorizing and empirically testing moderated mediation hypotheses allows logistics and supply chain management (L&SCM) scholars to extend the boundaries of our current understanding by examining how, when, and why relationships arise between constructs central to our theories. However, while moderated mediation analyses can enrich theory in L&SCM, they are few in number, likely due to the complexities associated with their execution. In this article, we provide a didactic treatment for executing moderated mediation analysis. We do so using primary data regarding logistics involvement in new product development. In the hopes of spurring greater application of moderated mediation in L&SCM, we devise a series of recommendations that guide scholars through the process of conducting such analyses. These recommendations extend prior treatments by explaining how to address challenges associated with devising theories to undergird moderated mediation hypotheses, measuring constructs using multiple indicators, providing guidance for detecting influential cases that can unduly affect results, and integrating what results should be reported.