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Technostress Measurement in the Field: A Case Report

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Information Systems and Neuroscience (NeuroIS 2020)

Part of the book series: Lecture Notes in Information Systems and Organisation ((LNISO,volume 43))

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Abstract

Contemporary technostress research is mainly based on studies in laboratory settings and online surveys. To foster technostress research in the field, we compared four data collection methods, a blend of self-reports and physiological measurements, in the context of a case study in one organization. Over three non-consecutive workweeks, 16 participants filled out online surveys, wrote an online diary, wore a chest strap to measure their heart rate, and measured their blood pressure using a wrist-worn device. All four methods were assumed to imply a low level of intrusiveness as it enabled self-measurement by the participants without the need for continuous researcher intervention. The four data collection methods are compared based on six major criteria to determine measurement quality (i.e., reliability, validity, sensitivity, diagnosticity, objectivity, and intrusiveness). We find that each data collection method has its strengths and weaknesses. What follows is the need for mixed methods designs in technostress field studies.

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Notes

  1. 1.

    https://www.soscisurvey.de/ [last access on 02/25/2020].

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Acknowledgement

This research was funded by the Austrian Science Fund (FWF) as part of the project “Technostress in organizations” (project number: P 30865) at the University of Applied Sciences Upper Austria.

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Authors and Affiliations

  1. University of Applied Sciences Upper Austria, Steyr, Austria

    Thomas Fischer & René Riedl

  2. Johannes Kepler University Linz, Linz, Austria

    René Riedl

Authors
  1. Thomas Fischer
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  2. René Riedl
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Correspondence to Thomas Fischer .

Editor information

Editors and Affiliations

  1. Information Systems and Quantitative Sciences (ISQS), Texas Tech University, Lubbock, TX, USA

    Fred D. Davis

  2. University of Applied Sciences Upper Austria, Steyr, Austria

    René Riedl

  3. Department of Information Systems, University of Liechtenstein, Vaduz, Liechtenstein

    Jan vom Brocke

  4. Department of Information Technology, HEC Montréal, Montreal, QC, Canada

    Pierre-Majorique Léger

  5. Department of Information Systems, Kennesaw State University, Kennesaw, GA, USA

    Adriane B. Randolph

  6. Department for Digital Business, University of Applied Sciences Upper Austria, Steyr, Austria

    Thomas Fischer

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Fischer, T., Riedl, R. (2020). Technostress Measurement in the Field: A Case Report. In: Davis, F.D., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A.B., Fischer, T. (eds) Information Systems and Neuroscience. NeuroIS 2020. Lecture Notes in Information Systems and Organisation, vol 43. Springer, Cham. https://doi.org/10.1007/978-3-030-60073-0_9

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  • DOI: https://doi.org/10.1007/978-3-030-60073-0_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-60072-3

  • Online ISBN: 978-3-030-60073-0

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