IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v33y2022i2p489-514.html
   My bibliography  Save this article

Trial-Period Technostress: A Conceptual Definition and Mixed-Methods Investigation

Author

Listed:
  • Christian Maier

    (Information Systems and Services, University of Bamberg, 96049 Bamberg, Germany)

  • Sven Laumer

    (Information Systems, Friedrich-Alexander-Universität Erlangen-Nürnberg, 90429 Nürnberg, Germany)

  • Jason Bennett Thatcher

    (Fox School of Business, Temple University, Philadelphia, Pennsylvania 19122)

  • Jakob Wirth

    (Information Systems and Services, University of Bamberg, 96049 Bamberg, Germany)

  • Tim Weitzel

    (Information Systems and Services, University of Bamberg, 96049 Bamberg, Germany)

Abstract

This study employs a mixed-methods approach to examine how trial use of an IT can induce stress that leads individuals to reject the IT. In our qualitative study (Study 1), we identify eight technostress creators encountered during trial use of a specific IT. Then, in our quantitative study (Study 2), we show that these trial-period technostress creators reduce user satisfaction and increase intention to reject. Also, we demonstrate that motivation to learn and personal innovativeness in IT, two individual differences, moderate the influence of trial-period technostress creators on the intention to reject. Our mixed-methods study contributes to technostress research by identifying the specific technostress creators that influence the user during trial periods and by articulating the nature of this influence. By doing so, we illustrate how the interplay of the context- and domain-specific individual differences influence the relationship between technostress creators and the intention to reject. We extend adoption research by connecting technostress creators to rejection of IT in the trial period of IT use.

Suggested Citation

  • Christian Maier & Sven Laumer & Jason Bennett Thatcher & Jakob Wirth & Tim Weitzel, 2022. "Trial-Period Technostress: A Conceptual Definition and Mixed-Methods Investigation," Information Systems Research, INFORMS, vol. 33(2), pages 489-514, June.
    • Handle: RePEc:inm:orisre:v:33:y:2022:i:2:p:489-514
    DOI: 10.1287/isre.2021.1047
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.2021.1047
    Download Restriction: no
    File URL: https://libkey.io/10.1287/isre.2021.1047?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Mick, David Glen & Fournier, Susan, 1998. "Paradoxes of Technology: Consumer Cognizance, Emotions, and Coping Strategies," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(2), pages 123-143, September.
    2. T. S. Ragu-Nathan & Monideepa Tarafdar & Bhanu S. Ragu-Nathan & Qiang Tu, 2008. "The Consequences of Technostress for End Users in Organizations: Conceptual Development and Empirical Validation," Information Systems Research, INFORMS, vol. 19(4), pages 417-433, December.
    3. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    4. Christoph Weinert & Christian Maier & Sven Laumer & Tim Weitzel, 2020. "Correction to: Technostress mitigation: an experimental study of social support during a computer freeze," Journal of Business Economics, Springer, vol. 90(8), pages 1251-1251, September.
    5. Saonee Sarker & Manju Ahuja & Suprateek Sarker, 2018. "Work–Life Conflict of Globally Distributed Software Development Personnel: An Empirical Investigation Using Border Theory," Information Systems Research, INFORMS, vol. 29(1), pages 103-126, March.
    6. Christian Maier & Sven Laumer & Jakob Wirth & Tim Weitzel, 2019. "Technostress and the hierarchical levels of personality: a two-wave study with multiple data samples," European Journal of Information Systems, Taylor & Francis Journals, vol. 28(5), pages 496-522, September.
    7. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    8. Christoph Weinert & Christian Maier & Sven Laumer & Tim Weitzel, 2020. "Technostress mitigation: an experimental study of social support during a computer freeze," Journal of Business Economics, Springer, vol. 90(8), pages 1199-1249, September.
    9. Ronald T. Cenfetelli & Andrew Schwarz, 2011. "Identifying and Testing the Inhibitors of Technology Usage Intentions," Information Systems Research, INFORMS, vol. 22(4), pages 808-823, December.
    10. Bagozzi, Richard P & Warshaw, Paul R, 1990. "Trying to Consume," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(2), pages 127-140, September.
    11. repec:hal:gemptp:hal-01249895 is not listed on IDEAS
    12. Mun Y. Yi & Fred D. Davis, 2003. "Developing and Validating an Observational Learning Model of Computer Software Training and Skill Acquisition," Information Systems Research, INFORMS, vol. 14(2), pages 146-169, June.
    13. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    14. Greta L Polites & Nicholas Roberts & Jason Thatcher, 2012. "Conceptualizing models using multidimensional constructs: a review and guidelines for their use," European Journal of Information Systems, Taylor & Francis Journals, vol. 21(1), pages 22-48, January.
    15. Jingjun (David) Xu & Izak Benbasat & Ronald T. Cenfetelli, 2014. "Research Note ---The Influences of Online Service Technologies and Task Complexity on Efficiency and Personalization," Information Systems Research, INFORMS, vol. 25(2), pages 420-436, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Khedhaouria, Anis & Montani, Francesco & Jamal, Arshad & Hussain Shah, Mahmood, 2024. "Consequences of technostress for users in remote (home) work contexts during a time of crisis: The buffering role of emotional social support," Technological Forecasting and Social Change, Elsevier, vol. 199(C).

    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. Khedhaouria, Anis & Montani, Francesco & Jamal, Arshad & Hussain Shah, Mahmood, 2024. "Consequences of technostress for users in remote (home) work contexts during a time of crisis: The buffering role of emotional social support," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    2. Michelle Berger & Ricarda Schäfer & Marco Schmidt & Christian Regal & Henner Gimpel, 2024. "How to prevent technostress at the digital workplace: a Delphi study," Journal of Business Economics, Springer, vol. 94(7), pages 1051-1113, October.
    3. Nascimento, Lígia & Correia, Manuela Faia & Califf, Christopher B., 2024. "Towards a bright side of technostress in higher education teachers: Identifying several antecedents and outcomes of techno-eustress," Technology in Society, Elsevier, vol. 76(C).
    4. Saghafi, Fatemeh & Noorzad Moghaddam, Ehsan & Aslani, Alireza, 2017. "Examining effective factors in initial acceptance of high-tech localized technologies: Xamin, Iranian localized operating system," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 275-288.
    5. Christoph Weinert & Tim Weitzel, 2023. "Teleworking in the Covid-19 Pandemic," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(3), pages 309-328, June.
    6. Julia Lanzl, 2023. "Social Support as Technostress Inhibitor," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 65(3), pages 329-343, June.
    7. Christopher R. Plouffe & John S. Hulland & Mark Vandenbosch, 2001. "Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System," Information Systems Research, INFORMS, vol. 12(2), pages 208-222, June.
    8. Escobar-Rodríguez, T. & Carvajal-Trujillo, E., 2014. "Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model," Tourism Management, Elsevier, vol. 43(C), pages 70-88.
    9. Pillet, Jean-Charles & Carillo, Kevin Daniel André, 2016. "Email-free collaboration: An exploratory study on the formation of new work habits among knowledge workers," International Journal of Information Management, Elsevier, vol. 36(1), pages 113-125.
    10. Komlan Gbongli & Yongan Xu & Komi Mawugbe Amedjonekou, 2019. "Extended Technology Acceptance Model to Predict Mobile-Based Money Acceptance and Sustainability: A Multi-Analytical Structural Equation Modeling and Neural Network Approach," Sustainability, MDPI, vol. 11(13), pages 1-33, July.
    11. Aldo Alvarez-Risco & Shyla Del-Aguila-Arcentales & Jaime A. Yáñez & Marc A. Rosen & Christian R. Mejia, 2021. "Influence of Technostress on Academic Performance of University Medicine Students in Peru during the COVID-19 Pandemic," Sustainability, MDPI, vol. 13(16), pages 1-13, August.
    12. Weiling Ke & Lele Kang & Chuan-Hoo Tan & Chih-Hung Peng, 2021. "User Competence with Enterprise Systems: The Effects of Work Environment Factors," Information Systems Research, INFORMS, vol. 32(3), pages 860-875, September.
    13. Hajiheydari, Nastaran & Delgosha, Mohammad Soltani & Olya, Hossein, 2021. "Scepticism and resistance to IoMT in healthcare: Application of behavioural reasoning theory with configurational perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    14. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    15. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    16. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    17. Petschnig, Martin & Heidenreich, Sven & Spieth, Patrick, 2014. "Innovative alternatives take action – Investigating determinants of alternative fuel vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 68-83.
    18. Francisco Rejón-Guardia & Juán Sánchez-Fernández & Francisco Muñoz-Leiva, 2011. "Motivational Factors that influence the Acceptance of Microblogging Social Networks: The µBAM Model," FEG Working Paper Series 06/11, Faculty of Economics and Business (University of Granada).
    19. Shanshan Zhang & Fengchun Huang & Yuting Zhang & Qiwen Li, 2023. "A Person-Environment Fit Model to Explain Information and Communication Technologies-Enabled After-Hours Work-Related Interruptions in China," IJERPH, MDPI, vol. 20(4), pages 1-16, February.
    20. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).

    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:inm:orisre:v:33:y:2022:i:2:p:489-514. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.