IDEAS home Printed from https://ideas.repec.org/a/inm/ororsc/v29y2018i2p191-206.html
   My bibliography  Save this article

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

Author

Listed:
  • Linda Argote

    (Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Brandy L. Aven

    (Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Jonathan Kush

    (Charlton College of Business, University of Massachusetts Dartmouth, North Dartmouth, Massachusetts 02747)

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.

Suggested Citation

  • Linda Argote & Brandy L. Aven & Jonathan Kush, 2018. "The Effects of Communication Networks and Turnover on Transactive Memory and Group Performance," Organization Science, INFORMS, vol. 29(2), pages 191-206, April.
  • Handle: RePEc:inm:ororsc:v:29:y:2018:i:2:p:191-206
    DOI: 10.1287/orsc.2017.1176
    as

    Download full text from publisher

    File URL: https://doi.org/10.1287/orsc.2017.1176
    Download Restriction: no

    File URL: https://libkey.io/10.1287/orsc.2017.1176?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Choi, Hoon-Seok & Thompson, Leigh, 2005. "Old wine in a new bottle: Impact of membership change on group creativity," Organizational Behavior and Human Decision Processes, Elsevier, vol. 98(2), pages 121-132, November.
    2. John P. Hausknecht & Jacob A. Holwerda, 2013. "When Does Employee Turnover Matter? Dynamic Member Configurations, Productive Capacity, and Collective Performance," Organization Science, INFORMS, vol. 24(1), pages 210-225, February.
    3. Manju K. Ahuja & Dennis F. Galletta & Kathleen M. Carley, 2003. "Individual Centrality and Performance in Virtual R& D Groups: An Empirical Study," Management Science, INFORMS, vol. 49(1), pages 21-38, January.
    4. Diane L. Rulke & Joseph Galaskiewicz, 2000. "Distribution of Knowledge, Group Network Structure, and Group Performance," Management Science, INFORMS, vol. 46(5), pages 612-625, May.
    5. Adam M. Kleinbaum & Toby E. Stuart & Michael L. Tushman, 2013. "Discretion Within Constraint: Homophily and Structure in a Formal Organization," Organization Science, INFORMS, vol. 24(5), pages 1316-1336, October.
    6. Jeong-Yeon Lee & Daniel G. Bachrach & Kyle Lewis, 2014. "Social Network Ties, Transactive Memory, and Performance in Groups," Organization Science, INFORMS, vol. 25(3), pages 951-967, June.
    7. J. Stuart Bunderson & Peter Boumgarden, 2010. "Structure and Learning in Self-Managed Teams: Why “Bureaucratic” Teams Can Be Better Learners," Organization Science, INFORMS, vol. 21(3), pages 609-624, June.
    8. Kyle Lewis & Benjamin Herndon, 2011. "Transactive Memory Systems: Current Issues and Future Research Directions," Organization Science, INFORMS, vol. 22(5), pages 1254-1265, October.
    9. Stephen P. Borgatti & Rob Cross, 2003. "A Relational View of Information Seeking and Learning in Social Networks," Management Science, INFORMS, vol. 49(4), pages 432-445, April.
    10. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    11. Brandy L. Aven, 2015. "The Paradox of Corrupt Networks: An Analysis of Organizational Crime at Enron," Organization Science, INFORMS, vol. 26(4), pages 980-996, August.
    12. Ferriani, Simone & Cattani, Gino & Baden-Fuller, Charles, 2009. "The relational antecedents of project-entrepreneurship: Network centrality, team composition and project performance," Research Policy, Elsevier, vol. 38(10), pages 1545-1558, December.
    13. Gino, Francesca & Argote, Linda & Miron-Spektor, Ella & Todorova, Gergana, 2010. "First, get your feet wet: The effects of learning from direct and indirect experience on team creativity," Organizational Behavior and Human Decision Processes, Elsevier, vol. 111(2), pages 102-115, March.
    14. Samer Faraj & Lee Sproull, 2000. "Coordinating Expertise in Software Development Teams," Management Science, INFORMS, vol. 46(12), pages 1554-1568, December.
    15. Tiziana Casciaro & Sigal G. Barsade & Amy C. Edmondson & Cristina B. Gibson & David Krackhardt & Giuseppe (Joe) Labianca, 2015. "The Integration of Psychological and Network Perspectives in Organizational Scholarship," Organization Science, INFORMS, vol. 26(4), pages 1162-1176, August.
    16. Harold Guetzkow & Herbert A. Simon, 1955. "The Impact of Certain Communication Nets Upon Organization and Performance in Task-Oriented Groups," Management Science, INFORMS, vol. 1(3-4), pages 233-250, 04-07.
    17. Moreland, Richard L. & Myaskovsky, Larissa, 2000. "Exploring the Performance Benefits of Group Training: Transactive Memory or Improved Communication?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 82(1), pages 117-133, May.
    18. Lewis, Kyle & Belliveau, Maura & Herndon, Benjamin & Keller, Joshua, 2007. "Group cognition, membership change, and performance: Investigating the benefits and detriments of collective knowledge," Organizational Behavior and Human Decision Processes, Elsevier, vol. 103(2), pages 159-178, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stefan Dimitriadis & Rembrand Koning, 2022. "Social Skills Improve Business Performance: Evidence from a Randomized Control Trial with Entrepreneurs in Togo," Management Science, INFORMS, vol. 68(12), pages 8635-8657, December.
    2. Hai-Trung Nguyen & Hao-Chieh Lin & Shao-Chi Chang, 2023. "The emergence of TMT learning goal orientation: contextual effects of TMT demographic diversity on TMT cognitive processes," Asian Business & Management, Palgrave Macmillan, vol. 22(1), pages 26-54, February.
    3. Filippo Carlo Wezel & Martin Ruef, 2020. "Learning Against the Wind: Diversity and Performance on the Ships of the Dutch East India Company," Strategy Science, INFORMS, vol. 5(4), pages 330-347, December.
    4. Aven, Brandy & Morse, Lily & Iorio, Alessandro, 2021. "The valley of trust: The effect of relational strength on monitoring quality," Organizational Behavior and Human Decision Processes, Elsevier, vol. 166(C), pages 179-193.
    5. Özgecan Koçak & Massimo Warglien, 2020. "When three’s a crowd: how relational structure and social history shape organizational codes in triads," Journal of Organization Design, Springer;Organizational Design Community, vol. 9(1), pages 1-27, December.
    6. Shad Morris & James Oldroyd & Ryan T. Allen & Daniel Han Ming Chng & Jian Han, 2023. "From local modification to global innovation: How research units in emerging economies innovate for the world," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(3), pages 418-440, April.
    7. Rajat Khanna & Isin Guler, 2022. "Degree assortativity in collaboration networks and invention performance," Strategic Management Journal, Wiley Blackwell, vol. 43(7), pages 1402-1430, July.
    8. Linda Argote & Sunkee Lee & Jisoo Park, 2021. "Organizational Learning Processes and Outcomes: Major Findings and Future Research Directions," Management Science, INFORMS, vol. 67(9), pages 5399-5429, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bachrach, Daniel G. & Mullins, Ryan, 2019. "A dual-process contingency model of leadership, transactive memory systems and team performance," Journal of Business Research, Elsevier, vol. 96(C), pages 297-308.
    2. Argote, Linda & Fahrenkopf, Erin, 2016. "Knowledge transfer in organizations: The roles of members, tasks, tools, and networks," Organizational Behavior and Human Decision Processes, Elsevier, vol. 136(C), pages 146-159.
    3. Linda Argote & Sunkee Lee & Jisoo Park, 2021. "Organizational Learning Processes and Outcomes: Major Findings and Future Research Directions," Management Science, INFORMS, vol. 67(9), pages 5399-5429, September.
    4. Edward G. Anderson & Kyle Lewis, 2014. "A Dynamic Model of Individual and Collective Learning Amid Disruption," Organization Science, INFORMS, vol. 25(2), pages 356-376, April.
    5. Belbaly Aissa, Nassim & Gurău, Călin & Psychogios, Alexandros & Somsing, Autcharaporn, 2022. "Transactional memory systems in virtual teams: Communication antecedents and the impact of TMS components on creative processes and outcomes," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    6. Kyle Lewis & Benjamin Herndon, 2011. "Transactive Memory Systems: Current Issues and Future Research Directions," Organization Science, INFORMS, vol. 22(5), pages 1254-1265, October.
    7. Linda Argote & Manpreet Hora, 2017. "Organizational Learning and Management of Technology," Production and Operations Management, Production and Operations Management Society, vol. 26(4), pages 579-590, April.
    8. Sung‐Choon Kang & Scott A. Snell, 2009. "Intellectual Capital Architectures and Ambidextrous Learning: A Framework for Human Resource Management," Journal of Management Studies, Wiley Blackwell, vol. 46(1), pages 65-92, January.
    9. H. Colleen Stuart, 2017. "Structural Disruption, Relational Experimentation, and Performance in Professional Hockey Teams: A Network Perspective on Member Change," Organization Science, INFORMS, vol. 28(2), pages 283-300, April.
    10. Mary M. Maloney & Priti Pradhan Shah & Mary Zellmer-Bruhn & Stephen L. Jones, 2019. "The Lasting Benefits of Teams: Tie Vitality After Teams Disband," Organization Science, INFORMS, vol. 30(2), pages 260-279, March.
    11. Lionel P. Robert & Alan R. Dennis & Manju K. Ahuja, 2008. "Social Capital and Knowledge Integration in Digitally Enabled Teams," Information Systems Research, INFORMS, vol. 19(3), pages 314-334, September.
    12. Wang, Youying & Huang, Qian & Davison, Robert M. & Yang, Feng, 2018. "Effect of transactive memory systems on team performance mediated by knowledge transfer," International Journal of Information Management, Elsevier, vol. 41(C), pages 65-79.
    13. Zhong, Xuepan & Huang, Qian & Davison, Robert M. & Yang, Xuan & Chen, Huaping, 2012. "Empowering teams through social network ties," International Journal of Information Management, Elsevier, vol. 32(3), pages 209-220.
    14. Lewis, Kyle & Belliveau, Maura & Herndon, Benjamin & Keller, Joshua, 2007. "Group cognition, membership change, and performance: Investigating the benefits and detriments of collective knowledge," Organizational Behavior and Human Decision Processes, Elsevier, vol. 103(2), pages 159-178, July.
    15. David Dreyfus & Anand Nair & Srinivas Talluri, 2020. "The Impact of Chain Organization Size on Efficiency and Quality of Affiliated Facilities—Implications for Multi‐Unit Organizational Forms," Production and Operations Management, Production and Operations Management Society, vol. 29(7), pages 1605-1623, July.
    16. Joel M. Evans & Michael G. Hendron & James B. Oldroyd, 2015. "Withholding the Ace: The Individual- and Unit-Level Performance Effects of Self-Reported and Perceived Knowledge Hoarding," Organization Science, INFORMS, vol. 26(2), pages 494-510, April.
    17. Gino, Francesca & Argote, Linda & Miron-Spektor, Ella & Todorova, Gergana, 2010. "First, get your feet wet: The effects of learning from direct and indirect experience on team creativity," Organizational Behavior and Human Decision Processes, Elsevier, vol. 111(2), pages 102-115, March.
    18. Ishani Aggarwal & Anita Williams Woolley, 2019. "Team Creativity, Cognition, and Cognitive Style Diversity," Management Science, INFORMS, vol. 65(4), pages 1586-1599, April.
    19. Narda R. Quigley & Paul E. Tesluk & Edwin A. Locke & Kathryn M. Bartol, 2007. "A Multilevel Investigation of the Motivational Mechanisms Underlying Knowledge Sharing and Performance," Organization Science, INFORMS, vol. 18(1), pages 71-88, February.
    20. Kai Fischbach & Peter A. Gloor & Detlef Schoder, 2009. "Analysis of Informal Communication Networks – A Case Study," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(2), pages 140-149, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:ororsc:v:29:y:2018:i:2:p:191-206. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.