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The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as observational data lacks the benefit of random treatment assignment, estimating causal effects poses challenges. In the specific scenario where one can reasonably assume that all confounding factors are observed—referred to as selection on observables—matching methods and synthetic controls can assist researchers to replicate a randomized experiment, the most desirable setting for drawing causal inferences. In this paper, we first present an overview of matching methods and their utilization in the OM literature. Subsequently, we establish the framework and provide pragmatic guidance for propensity score matching and coarsened exact matching, which have garnered considerable attention in recent OM studies. Following this, we conduct a comprehensive simulation study that compares diverse matching algorithms across various scenarios, providing practical insights derived from our findings. Finally, we discuss synthetic controls, a method that offers unique advantages over matching techniques in specific scenarios and is expected to become even more popular in the OM field in the near future. We hope that this paper will serve as a catalyst for promoting a more rigorous application of matching and synthetic control methodologies. [ABSTRACT FROM AUTHOR]

Sexual self-concept (SSC) is a person's perception of themself as a sexual being. SSC is a key construct in understanding people's sexuality. However, the extent to which sexuality researchers consistently define, measure, and evaluate SSC is unknown. In this review, we determine the common elements of researchers' conceptual definitions of SSC (RQ1), describe how researchers measure SSC (RQ2), examine the structural (RQ3) and external (RQ4) validity of these measures, and (highlight who is represented in the creation of SSC measures (RQ5). We conducted a comprehensive review of 67 peer-reviewed SSC studies identified through a systematic search of five databases. We extracted data using Loevinger's (1957) three phases of construct validation: substantive, structural, and external. Our results highlight current limitations in SSC construct validity. Of the 67 studies, 50 provided a conceptual SSC definition, including 14 unique definitions. Additionally, there were 32 unique measures of SSC, providing 34 distinct subscales. White (38.3%), female (47.8%), and North American (47.8%) participants were mostly represented in the research; sexual minoritized people's perceptions were underrepresented. We discuss the importance of having consistent theory-driven definitions of SSC. Moreover, researchers must consider how different groups of people uniquely understand and construct their SSCs to improve knowledge. [ABSTRACT FROM AUTHOR]