Browsing by Author "Bisbey, Tiffany M."
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Item Does team orientation matter? A state-of-the-science review, meta-analysis, and multilevel framework(Wiley, 2023) Kilcullen, Molly; Bisbey, Tiffany M.; Rosen, Michael; Salas, EduardoAs teams are a foundational component of modern organizations, selection and training of employees to facilitate teamwork is of key importance. In this paper, we review and meta-analyze research on the construct of team orientation. We differentiate between organizational-, team-, and individual-level team orientation and discuss multilevel theory implications. A total of 39 articles comprising 210 effects were meta-analyzed. Results indicate that team orientation is important, particularly for effective teamwork and team-based outcomes. Specifically, at the overall level, we found significant and positive relationships with communication, coordination, cooperation, trust, shared mental models, backup behaviors, cohesion, innovation, satisfaction, leadership, and team performance. Team orientation was found to be negatively correlated with conflict. Interestingly, we found a negative relationship between team orientation and individual-level performance. We discuss the implications of these findings and make suggestions for future work to build upon these findings.Item Looking to the Middle of the Qualitative-Quantitative Spectrum for Integrated Mixed Methods(Sage, 2021) Paoletti, Jensine; Bisbey, Tiffany M.; Zajac, Stephanie; Waller, Mary J.; Salas, EduardoSubstantially advancing the study of teams will require a new research paradigm complete with methods capable of capturing the complex, dynamic process of teamwork. In this paper, we suggest studying teams with an integrated mixed methods approach (i.e., methods defined by an interconnected mix of quantitative and qualitative characteristics) can help address current methodological shortcomings of our science by promoting sufficiently contextualized research. Through a review of methods, we highlight exemplars of integrated mixed methods that have the potential to be more widely adopted; namely, interaction analysis, content analysis, cluster analysis, state space grids, and agent-based modeling.Item The Safer Culture Framework: An Application to Healthcare Based on a Multi-Industry Review of Safety Culture Literature(Sage, 2022) Kilcullen, Molly P.; Bisbey, Tiffany M.; Ottosen, Madelene J.; Tsao, Kuojen; Salas, Eduardo; Thomas, Eric J.Background: Errors and preventable harm to patients remain regrettably common and expensive in healthcare. Improvement requires transforming the culture of the healthcare industry to put a greater emphasis on safety. Safety culture involves holding collective attitudes, values, and behaviors that prioritize safety. The Safer Culture framework, previously established through a narrative review of literature in multiple industries, provides a consensus on what impacts safety culture, how it manifests in behavior, and how it influences safety-related outcomes. Methods: Through a theoretical review, we validate, refine, and provide nuance to this framework for the development of safety culture in healthcare contexts. To accomplish this, we conceptually map existing dimensions pulled through the literature onto our Safer Culture framework. Results: A total of 360 articles were reviewed. We present specific elements for each dimension in our framework and apply the dimension to healthcare contexts. Conclusion: We provide an evidence-based and comprehensive framework that can be used by patient safety leaders and researchers to guide the evaluation of safety culture and develop interventions to foster patient safety culture and improve patient safety outcomes.