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Face-to-face communication in organizations

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  • Blanes I Vidal, Jordi

Abstract

Communication is integral to organizations and yet field evidence on the relation between communication and worker productivity remains scarce. We argue that a core role of communication is to transmit information that helps co-workers do their job better. We build a simple model in which workers choose the amount of communication by trading off this benefit against the time cost incurred by the sender, and use it to derive a set of empirical predictions. We then exploit a natural experiment in an organization where problems arrive and must be sequentially dealt with by two workers. For exogenous reasons, the first worker can sometimes communicate face-to-face with their colleague. Consistently with the predictions of our model, we find that: (1) the second worker works faster (at the cost of the first worker having less time to deal with incoming problems) when face-to-face communication is possible, (2) this effect is stronger when the second worker is busier and for homogenous and closely located teams, and (3) the (career) incentives of workers determine how much they communicate with their colleagues. We also find that workers partially internalise social outcomes in their communication decisions. Our findings illustrate how workers in teams adjust the amount of mutual communication to its costs and benefits.

Suggested Citation

  • Blanes I Vidal, Jordi, 2020. "Face-to-face communication in organizations," LSE Research Online Documents on Economics 106580, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:106580
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    File URL: http://eprints.lse.ac.uk/106580/
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    References listed on IDEAS

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    1. Nicholas Bloom & Luis Garicano & Raffaella Sadun & John Van Reenen, 2014. "The Distinct Effects of Information Technology and Communication Technology on Firm Organization," Management Science, INFORMS, vol. 60(12), pages 2859-2885, December.
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    6. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    7. Barton H. Hamilton & Jack A. Nickerson & Hideo Owan, 2003. "Team Incentives and Worker Heterogeneity: An Empirical Analysis of the Impact of Teams on Productivity and Participation," Journal of Political Economy, University of Chicago Press, vol. 111(3), pages 465-497, June.
    8. D. Sandy Staples & Lina Zhao, 2006. "The Effects of Cultural Diversity in Virtual Teams Versus Face-to-Face Teams," Group Decision and Negotiation, Springer, vol. 15(4), pages 389-406, July.
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    Cited by:

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    3. Halvarsson, Daniel & Lark, Olga & Tingvall, Patrik & Videnord, Josefin, 2022. "Bargaining for Trade: When Exporting Becomes Detrimental for Female Wages," Working Paper Series 1437, Research Institute of Industrial Economics.
    4. Lark, Olga & Videnord, Josefin, 2023. "Do Exporters Import Gender Inequality?," Working Papers 2023:6, Lund University, Department of Economics.
    5. Halvarsson, Daniel & Lark, Olga & Tingvall, Patrik & Videnord, Josefin, 2022. "Bargaining for Trade: When Exporting Becomes Detrimental for Female Wages," Working Papers 2022:13, Lund University, Department of Economics.
    6. Halvarsson, Daniel & Lark, Olga & Tingvall, Patrik & Videnord, Josefin, 2022. "Bargaining for Trade: When Exporting Becomes Detrimental for Female Wages," Ratio Working Papers 361, The Ratio Institute.

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    More about this item

    Keywords

    teamwork; face-to-face communication; help in organisations; queueing theory;
    All these keywords.

    JEL classification:

    • J50 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - General

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