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Does Team Telecommuting Affect Productivity? An Experiment

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  • Dutcher, E. Glenn
  • Saral, Krista Jabs

Abstract

Telecommuting policies have been increasingly adopted by employers. The benefits of telecommuting from the employer's perspective include direct cost-saving from not having to house employees in an office and indirect cost-saving through reduced turnover associated with increased employee satisfaction. The downside is the perceived opportunity for shirking outside of the traditional workplace, a problem which is potentially exacerbated if employees are placed into telecommuting teams. Using a controlled experiment which randomly assigned subjects to participate in the laboratory (non-telecommuters) or to participate online in a location of their choice (telecommuters), we directly test whether telecommuters are more likely to free ride when in teams and whether or not the locational composition of the team influences this outcome. We find no evidence of free-riding in teams for either telecommuters or non-telecommuters. We also find that variation in output when a worker is paired in a traditional team versus a telecommuting team can be attributed to the beliefs subjects have about their teammates productivity. The last result leads directly to policy implications for managers.

Suggested Citation

  • Dutcher, E. Glenn & Saral, Krista Jabs, 2012. "Does Team Telecommuting Affect Productivity? An Experiment," MPRA Paper 41594, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:41594
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    File URL: https://mpra.ub.uni-muenchen.de/41594/1/MPRA_paper_41594.pdf
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    References listed on IDEAS

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    Cited by:

    1. Ajay Agrawal & John Horton & Nicola Lacetera & Elizabeth Lyons, 2015. "Digitization and the Contract Labor Market: A Research Agenda," NBER Chapters,in: Economic Analysis of the Digital Economy, pages 219-250 National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    Telecommuting; Team Production; Productivity; Virtual Teams; Economic Experiments;

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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