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      The Effects of Communication Networks and Turnover on Transactive Memory and Group Performance

      1 , 1 , 2
      Organization Science
      Institute for Operations Research and the Management Sciences (INFORMS)

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          Abstract

          We theorize that the effect of membership turnover on group processes and performance depends on a group’s communication network. We describe two mechanisms through which communication networks affect group performance: (1) the number of direct communication paths and (2) the clarity of the coordination logic. These mechanisms map onto two network dimensions: density, which affects a group’s behavior through the number of available communication paths, and centralization, which affects a group’s behavior through the clarity of the coordination logic. We empirically analyze the effects of turnover on the performance of fully connected all-channel networks and hub-and-spoke or wheel networks in an experiment of 109 four-person groups performing two collaborative problem-solving tasks. The greater number of direct communication paths enabled fully connected groups with stable membership to develop stronger transactive memory systems (TMSs) and perform better than fully connected groups that experienced turnover. By contrast, the clear coordination logic of perfectly centralized groups that experienced turnover facilitated more frequent dyadic communication, which enabled them to strengthen their TMSs, incorporate the contributions of new members, and improve their performance. Thus, our results indicate that communication networks condition the effect of membership turnover on group processes and performance.

          The online appendix is available at https://doi.org/10.1287/orsc.2017.1176 .

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            Centrality in social networks conceptual clarification

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              An Index and Test of Linear Moderated Mediation.

              I describe a test of linear moderated mediation in path analysis based on an interval estimate of the parameter of a function linking the indirect effect to values of a moderator-a parameter that I call the index of moderated mediation. This test can be used for models that integrate moderation and mediation in which the relationship between the indirect effect and the moderator is estimated as linear, including many of the models described by Edwards and Lambert ( 2007 ) and Preacher, Rucker, and Hayes ( 2007 ) as well as extensions of these models to processes involving multiple mediators operating in parallel or in serial. Generalization of the method to latent variable models is straightforward. Three empirical examples describe the computation of the index and the test, and its implementation is illustrated using Mplus and the PROCESS macro for SPSS and SAS.
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                Author and article information

                Contributors
                Journal
                Organization Science
                Organization Science
                Institute for Operations Research and the Management Sciences (INFORMS)
                1047-7039
                1526-5455
                April 2018
                April 2018
                : 29
                : 2
                : 191-206
                Affiliations
                [1 ]Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213
                [2 ]Charlton College of Business, University of Massachusetts Dartmouth, North Dartmouth, Massachusetts 02747
                Article
                10.1287/orsc.2017.1176
                ba4b8aa8-219a-477e-a833-39aa177a5bf5
                © 2018
                History

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