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What Factors Do Really Influence the Level of Technostress in Organizations?: An Empirical Study

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New Challenges for Intelligent Information and Database Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 351))

Abstract

Technostress is important fallout of the inevitable use of ICTs in organizations and illustrates the bivalent nature of their organization influence. In this research, we studied the influence of innovation culture, self-efficacy, and task complexity on technostress. In addition, we examined moderating effect of literacy facilitation in influencing the relationship between task complexity and technostress. The data for this research were collected from 98 employees of Korean companies. The results indicated that innovation culture influenced technostress negatively while task complexity had positive effect on technostress. However, we found an insignificant relationship between self-efficacy and technostress. The result also showed a negative moderating effect of literacy facilitation in influencing the relationship between task complexity and technostress. Additional discussion and implications of the empirical findings are discussed in this paper.

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Authors and Affiliations

  1. College of Business, Chosun University, 375 Seosukdong Donggu, Gwangju, South Korea

    Chulmo Koo & Yulia Wati

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  1. Chulmo Koo
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  2. Yulia Wati
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Editor information

Editors and Affiliations

  1. Institute of Informatics , Wrocław University of Technology, Wybrzeże Wyspiańnskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Institute of Informatics , Wroclaw University of Technology, Wybrzeże Wyspiańskiego 27, 50-370, Wrocław, Poland

    Bogdan Trawiński

  3. Department of Computer Engineering , Yeungnam University, Dae-Dong, 712-749, Gyeungsan, Korea

    Jason J. Jung

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Koo, C., Wati, Y. (2011). What Factors Do Really Influence the Level of Technostress in Organizations?: An Empirical Study. In: Nguyen, N.T., Trawiński, B., Jung, J.J. (eds) New Challenges for Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19953-0_34

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  • DOI: https://doi.org/10.1007/978-3-642-19953-0_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19952-3

  • Online ISBN: 978-3-642-19953-0

  • eBook Packages: EngineeringEngineering (R0)

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