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Don’t spread yourself too thin. The impact of task juggling on workers’ speed of job completion

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Abstract

We show that task juggling, i.e., the spreading of effort across too many active projects, decreases the performance of workers, raising the chances of low throughput, long duration of projects and exploding backlogs. Individual speed of job completion cannot be explained only in terms of effort, ability and experience: work scheduling is a crucial “input” that cannot be omitted from the production function of individual workers. We provide a simple theoretical model to study the effects of increased task juggling on the duration of projects. Using a sample of Italian judges we show that those who are induced for exogenous reasons to work in a more parallel fashion on many trials at the same time, take longer to complete similar portfolios of cases. The exogenous variation that identifies this causal effect is constructed exploiting the lottery that assigns cases to judges together with the procedural prescription requiring judges to hold the first hearing of a case no later than 60 days from filing.

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  • Decio Coviello & Andrea Ichino & Nicola Persico, 2011. "Don’t spread yourself too thin. The impact of task juggling on workers’ speed of job completion," CEIS Research Paper 185, Tor Vergata University, CEIS, revised 24 Jan 2011.
  • Handle: RePEc:rtv:ceisrp:185
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    2. Nicholas Bloom & Carol Propper & Stephan Seiler & John Van Reenen, 2015. "The Impact of Competition on Management Quality: Evidence from Public Hospitals," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(2), pages 457-489.
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    Cited by:

    1. Pope, Devin G. & Fillmore, Ian, 2015. "The impact of time between cognitive tasks on performance: Evidence from advanced placement exams," Economics of Education Review, Elsevier, vol. 48(C), pages 30-40.
    2. Capasso, Salvatore & Jappelli, Tullio, 2013. "Financial development and the underground economy," Journal of Development Economics, Elsevier, vol. 101(C), pages 167-178.
    3. Sinan Aral & Erik Brynjolfsson & Marshall Van Alstyne, 2012. "Information, Technology, and Information Worker Productivity," Information Systems Research, INFORMS, vol. 23(3-part-2), pages 849-867, September.
    4. Henk Kox & George van Leeuwen, 2012. "Dynamic market selection in EU business services," CPB Discussion Paper 210, CPB Netherlands Bureau for Economic Policy Analysis.
    5. Anzelika Zaiceva & Klaus Zimmermann, 2011. "Do ethnic minorities “stretch” their time? UK household evidence on multitasking," Review of Economics of the Household, Springer, vol. 9(2), pages 181-206, June.
    6. Kreter, Stefan & Rieck, Julia & Zimmermann, Jürgen, 2016. "Models and solution procedures for the resource-constrained project scheduling problem with general temporal constraints and calendars," European Journal of Operational Research, Elsevier, vol. 251(2), pages 387-403.
    7. Kox, Henk L.M. & Leeuwen, George van, 2011. "Measuring dynamic market selection by persistent scale inefficiencies - new methodology applied to EU business services," MPRA Paper 34986, University Library of Munich, Germany.

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    More about this item

    Keywords

    Individual production function; work scheduling; duration of trials;
    All these keywords.

    JEL classification:

    • J0 - Labor and Demographic Economics - - General
    • K0 - Law and Economics - - General
    • M5 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics

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