Browsing by Author "Sawhney, Aman"
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Item A comprehensive analysis of the integration of team research between sport psychology and management(Psychology of Sport and Exercise, 2020-06-13) Emich, Kyle J.; Norder, Kurt; Lu, Li; Sawhney, AmanBoth sports and organizations rely on teams. As such, the sport psychology and management literatures have contributed greatly to our understanding of team functioning. Despite this, previous reviews based on subsets of articles in these literatures indicate a lack of communication between them. In this article, we assess the state of integration between the entirety of the sport psychology and management literatures on teams by considering the full set of interconnected team articles in the SCOPUS database (6974 articles over 69 years). We use this data to conduct a combination of citation network analysis and content analysis via topic modeling to evaluate conceptual integration. The data show that interdisciplinary discussion between these two fields is lacking, particularly regarding the integration of sport psychology into management research. Whereas 7% of references to team articles in sport psychology come from management journals, only 0.6% of team references in management journals come from sport psychology. Despite this, longitudinal analysis indicates that in the last 10 years the rate of integration between these fields is increasing. We identify specific topics that have accounted for this integration and suggest topics ripe for future integration.Item A house divided: A multilevel bibliometric review of the job search literature 1973–2020(Journal of Business Research, 2022-07-02) Norder, Kurt; Emich, Kyle; Kanar, Adam; Sawhney, Aman; Behrend, Tara S.A growing body of research across multiple disciplines has aimed to better understand the phenomenon of job search. However, little empirical research has examined the combined content and structure of the job search literature to accumulate programmatic knowledge. Unfortunately, this has resulted in redundancies and isolated advances that harm our ability to make concrete practical recommendations to aid policy makers, organizations, and broader society. Using bibliometric analysis of 3,197 articles on job search, the present article identifies and describes 10 distinct communities of thought and assesses patterns of integration between these communities. Assessment of community relationships confirms disciplinary divides, but reveals insights into patterns of thought within disciplines, and structural and conceptual relationships between them. Based on these findings, we offer a multilevel conceptual framework to organize the job search literature and suggest possible ways to improve its integration to build a more programmatic understanding of the job search phenomenon.Item Improving Inter-Helix Contact Prediction With Local 2D Topological Information(IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2023-05-08) Li, Jiefu; Sawhney, Aman; Lee, Jung-Youn; Liao, LiInter-helix contact prediction is to identify residue contact across different helices in α-helical integral membrane proteins. Despite the progress made by various computational methods, contact prediction remains as a challenging task, and there is no method to our knowledge that directly tap into the contact map in an alignment free manner. We build 2D contact models from an independent dataset to capture the topological patterns in the neighborhood of a residue pair depending it is a contact or not, and apply the models to the state-of-art method's predictions to extract the features reflecting 2D inter-helix contact patterns. A secondary classifier is trained on such features. Realizing that the achievable improvement is intrinsically hinged on the quality of original predictions, we devise a mechanism to deal with the issue by introducing, 1) partial discretization of original prediction scores to more effectively leverage useful information 2) fuzzy score to assess the quality of the original prediction to help with selecting the residue pairs where improvement is more achievable. The cross-validation results show that the prediction from our method outperforms other methods including the state-of-the-art method (DeepHelicon) by a notable degree even without using the refinement selection scheme. By applying the refinement selection scheme, our method outperforms the state-of-the-art method significantly in these selected sequences.Item Setting the programmatic agenda: A comprehensive bibliometric overview of team mechanism research(Journal of Business Research, 2022-10-29) Lu, Li; Norder, Kurt A.; Sawhney, Aman; Emich, Kyle J.Team mediating mechanisms are vital to team functioning as they explain how member attributes transform into collective outcomes. Yet, the field exploring them has grown vast and fragmented. This disunity indicates a lack of intellectual structure, preventing the development of general knowledge. We suggest that two aspects of this literature may contribute to this issue: its content division into affective, behavioral, cognitive, motivational, and perceptual categories, and its division into distinct scholarly communities. Using the 10,220 connected teams articles in the Scopus database, from 1952 to 2021, we present the first objective architectural map of this literature. We find that it does a good job concurrently examining different categories of mediating mechanisms, with only a few limitations. Chiefly, more research on affective team mechanisms is needed, especially considering their relationship to cognitive team mechanisms, and the top management team and sport team communities need to further integrate with other communities.