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Cognitive time distortion as a hidden condition of worker productivity

Author

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  • von Schéele, Fabian
  • Haftor, Darek M.
  • Pashkevich, Natallia

Abstract

The present study advances a novel productivity function of knowledge workers. Cognitive science studies provide clear evidence that, for a given event, there is a difference between a worker's cognitive time and physical clock time; this difference gives rise to a cognitive time distortion. The proposed productivity function accounts for workers' dual experiences of time and the kinds of contracts utilized by an economic organization and its customers and workers. This function shows—for the first time and contrary to intuition—that, given certain conditions, workers' cognitive time and the form of contracts utilized are the only conditioners of knowledge worker productivity. The proposed productivity function unearths a hidden economic lever effect whereby a minor degree of time distortion generates a significant level of worker inefficiency. This constitutes a novel contribution to the literature on knowledge worker productivity.

Suggested Citation

  • von Schéele, Fabian & Haftor, Darek M. & Pashkevich, Natallia, 2019. "Cognitive time distortion as a hidden condition of worker productivity," Journal of Business Research, Elsevier, vol. 101(C), pages 591-596.
    • Handle: RePEc:eee:jbrese:v:101:y:2019:i:c:p:591-596
    DOI: 10.1016/j.jbusres.2018.11.002
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    Cited by:

    1. von Schéele, Fabian & Haftor, Darek M. & Pashkevich, Natallia, 2020. "Cognitive time as a service price determinant: Hidden dynamics and price collapse," Journal of Business Research, Elsevier, vol. 112(C), pages 248-253.
    2. Fabian Schéele & Darek M. Haftor & Natallia Pashkevich, 2022. "Predicting delays in service operations," Service Business, Springer;Pan-Pacific Business Association, vol. 16(2), pages 211-226, June.
    3. Pashkevich, Natallia & von Schéele, Fabian & Haftor, Darek M., 2023. "Accounting for cognitive time in activity-based costing: A technology for the management of digital economy," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    4. Luciana Fighera Marzall & Fabíola Kaczam & Vânia Medianeira Flores Costa & Claudimar Pereira Veiga & Wesley Vieira Silva, 2022. "Establishing a typology for productive intelligence: a systematic literature mapping," Management Review Quarterly, Springer, vol. 72(3), pages 789-822, September.

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