IDEAS home Printed from https://ideas.repec.org/a/ers/journl/vxxiiiy2020i1p107-116.html
   My bibliography  Save this article

Multitasking Effects on Individual Performance: An Experimental Eye-Tracking Study

Author

Listed:
  • Malgorzata Marchewka
  • Janusz Nesterak
  • Mariusz Sołtysik
  • Wojciech Szymla
  • Magdalena Wojnarowska

Abstract

Purpose: The main objective of this research is to identify the impact of parallel performance of various tasks on the individual effectiveness. Moreover, a methodological goal was set for the research to explore the possibilities of using eye-tracking in the studies of multitasking. Design/Methodology/Approach: The study was conducted in the form of an experiment. All participants worked at the same computer station time was measured with Eye Tracker. Findings: It was confirmed that multitasking requires more time to accomplish tasks and deteriorates creativity, but not correctness of the answers in case of simple tasks. Interestingly, in case of multitasking under time pressure, the performance was worse. Practical Implications: Deeper understanding of the determinants and effects of multitasking on organizational and individual performance enables the adjustment of work organization and management style in order to achieve optimal results. Originality/Value: This paper brings new insights to the studies of multitasking not only in terms of the results of an experimental research, but also in terms of methodological concerns like eye-tracking as a new method of empirical diagnosis.

Suggested Citation

  • Malgorzata Marchewka & Janusz Nesterak & Mariusz Sołtysik & Wojciech Szymla & Magdalena Wojnarowska, 2020. "Multitasking Effects on Individual Performance: An Experimental Eye-Tracking Study," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 107-116.
  • Handle: RePEc:ers:journl:v:xxiii:y:2020:i:1:p:107-116
    as

    Download full text from publisher

    File URL: https://www.ersj.eu/journal/1539/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nannerup, Niels & Olsen, Kasper Krogh, 2014. "Multitasking and performance measurement," Discussion Papers on Economics 20/2014, University of Southern Denmark, Department of Economics.
    2. Shingo Takahashi, 2011. "How Multi-Tasking Job Designs Affect Productivity: Evidence from the Australian Coal Mining Industry," ILR Review, Cornell University, ILR School, vol. 64(5), pages 841-862, October.
    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. Nicholas G. Hall & Joseph Y.-T. Leung & Chung-Lun Li, 2015. "The Effects of Multitasking on Operations Scheduling," Production and Operations Management, Production and Operations Management Society, vol. 24(8), pages 1248-1265, August.
    Full references (including those not matched with items on IDEAS)

    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. Paulo B. Goes & Noyan Ilk & Mingfeng Lin & J. Leon Zhao, 2018. "When More Is Less: Field Evidence on Unintended Consequences of Multitasking," Management Science, INFORMS, vol. 64(7), pages 3033-3054, July.
    2. Xiaoyun Xiong & Peng Zhou & Yunqiang Yin & T. C. E. Cheng & Dengfeng Li, 2019. "An exact branch‐and‐price algorithm for multitasking scheduling on unrelated parallel machines," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(6), pages 502-516, September.
    3. Jin P. Gerlach & Ronald T. Cenfetelli, 2022. "Overcoming the Single-IS Paradigm in Individual-Level IS Research," Information Systems Research, INFORMS, vol. 33(2), pages 476-488, June.
    4. Yingjie Zhang & Beibei Li & Ramayya Krishnan, 2020. "Learning Individual Behavior Using Sensor Data: The Case of Global Positioning System Traces and Taxi Drivers," Information Systems Research, INFORMS, vol. 31(4), pages 1301-1321, December.
    5. Delasay, Mohammad & Ingolfsson, Armann & Kolfal, Bora & Schultz, Kenneth, 2019. "Load effect on service times," European Journal of Operational Research, Elsevier, vol. 279(3), pages 673-686.
    6. Orozco, Luis Antonio & Sanabria, John Alirio & Sosa, Juan Camilo & Aristizabal, Jeimy & López, Liliana, 2022. "How do IT investments interact with other resources to improve innovation?," Journal of Business Research, Elsevier, vol. 144(C), pages 358-365.
    7. Stephen Michael Impink & Andrea Prat & Raffaella Sadun, 2021. "Communication within Firms: Evidence from CEO Turnovers," NBER Working Papers 29042, National Bureau of Economic Research, Inc.
    8. Sinan Aral & Paramveer S. Dhillon, 2023. "What (Exactly) Is Novelty in Networks? Unpacking the Vision Advantages of Brokers, Bridges, and Weak Ties," Management Science, INFORMS, vol. 69(2), pages 1092-1115, February.
    9. Tadao Hoshino & Daichi Shimamoto & Yasuyuki Todo, 2020. "Accounting for Heterogeneity in Network Formation Behaviour: An Application to Vietnamese SMEs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 1042-1067, October.
    10. Steinar Andresen & Jon Birger Skjærseth & Torbjørg Jevnaker & Jørgen Wettestad, 2016. "The Paris Agreement: Consequences for the EU and Carbon Markets?," Politics and Governance, Cogitatio Press, vol. 4(3), pages 188-196.
    11. Arun Sundararajan & Foster Provost & Gal Oestreicher-Singer & Sinan Aral, 2013. "Research Commentary ---Information in Digital, Economic, and Social Networks," Information Systems Research, INFORMS, vol. 24(4), pages 883-905, December.
    12. Ilse Lindenlaub & Anja Prummer, 2014. "Gender, Social Networks And Performance," Cambridge Working Papers in Economics 1461, Faculty of Economics, University of Cambridge.
    13. Nisar, Tahir M. & Prabhakar, Guru & Strakova, Lubica, 2019. "Social media information benefits, knowledge management and smart organizations," Journal of Business Research, Elsevier, vol. 94(C), pages 264-272.
    14. Lyu, Wenjing & Liu, Jin, 2021. "Soft skills, hard skills: What matters most? Evidence from job postings," Applied Energy, Elsevier, vol. 300(C).
    15. Tom Fangyun Tan & Serguei Netessine, 2020. "At Your Service on the Table: Impact of Tabletop Technology on Restaurant Performance," Management Science, INFORMS, vol. 66(10), pages 4496-4515, October.
    16. Emanuele Gabriel Margherita & Alessio Maria Braccini, 2023. "Industry 4.0 Technologies in Flexible Manufacturing for Sustainable Organizational Value: Reflections from a Multiple Case Study of Italian Manufacturers," Information Systems Frontiers, Springer, vol. 25(3), pages 995-1016, June.
    17. Sunghun Chung & Animesh Animesh & Kunsoo Han & Alain Pinsonneault, 2019. "Software Patents and Firm Value: A Real Options Perspective on the Role of Innovation Orientation and Environmental Uncertainty," Information Systems Research, INFORMS, vol. 30(3), pages 1073-1097, September.
    18. Velasco Vizcaíno, Franklin & Martin, Silvia L. & Cardenas, Juan J. & Cardenas, Marcelo, 2021. "Employees’ attitudes toward corporate social responsibility programs: The influence of corporate frugality and polychronicity organizational capabilities," Journal of Business Research, Elsevier, vol. 124(C), pages 538-546.
    19. Dow, Kevin E. & Watson, Marcia Weidenmier & Shea, Vincent J., 2017. "Riding the waves of technology through the decades: The relation between industry-level information technology intensity and the cost of equity capital," International Journal of Accounting Information Systems, Elsevier, vol. 25(C), pages 18-28.
    20. Bertolotti, Fabiola & Mattarelli, Elisa & Vignoli, Matteo & Macrì, Diego Maria, 2015. "Exploring the relationship between multiple team membership and team performance: The role of social networks and collaborative technology," Research Policy, Elsevier, vol. 44(4), pages 911-924.

    More about this item

    Keywords

    Multitasking; individual performance; eye-tracking.;
    All these keywords.

    JEL classification:

    • L2 - Industrial Organization - - Firm Objectives, Organization, and Behavior
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

    Statistics

    Access and download statistics

    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:ers:journl:v:xxiii:y:2020:i:1:p:107-116. 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: Marios Agiomavritis (email available below). General contact details of provider: https://ersj.eu/ .

    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.