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Examining the impacts of mental workload and task-technology fit on user acceptance of the social media search system

Author

Listed:
  • Yan (Mandy) Dang

    (Northern Arizona University)

  • Yulei (Gavin) Zhang

    (Northern Arizona University)

  • Susan A. Brown

    (University of Arizona)

  • Hsinchun Chen

    (University of Arizona)

Abstract

Information overload has been an important issue in today’s big data era where a huge amount of unstructured user-generated content in different languages is being created on the Web in every minute. Social media search systems could help with it by effectively and efficiently collecting, storing, organizing and presenting user-generated content across the Web in an organized and timely manner. However, little research has been done to examine factors that could influence user acceptance on this new type of systems. To address it, this study develops a research model by integrating Mental Workload (MWL), Task-Technology Fit (TTF), and the unified theory of acceptance and use of technology (UTAUT). The model is tested on a security-related social media search system. The results indicate that both MWL and TTF can significantly influence user acceptance. We also operationalize the multi-dimensional latent construct of MWL by developing survey-based measurement items for different dimensions.

Suggested Citation

  • Yan (Mandy) Dang & Yulei (Gavin) Zhang & Susan A. Brown & Hsinchun Chen, 2020. "Examining the impacts of mental workload and task-technology fit on user acceptance of the social media search system," Information Systems Frontiers, Springer, vol. 22(3), pages 697-718, June.
    • Handle: RePEc:spr:infosf:v:22:y:2020:i:3:d:10.1007_s10796-018-9879-y
    DOI: 10.1007/s10796-018-9879-y
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    Cited by:

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    6. Nannan Xi & Juan Chen & Filipe Gama & Marc Riar & Juho Hamari, 2023. "The challenges of entering the metaverse: An experiment on the effect of extended reality on workload," Information Systems Frontiers, Springer, vol. 25(2), pages 659-680, April.
    7. Efpraxia D. Zamani & Nancy Pouloudi & George M. Giaglis & Jonathan Wareham, 2022. "Appropriating Information Technology Artefacts through Trial and Error: The Case of the Tablet," Information Systems Frontiers, Springer, vol. 24(1), pages 97-119, February.
    8. Stefan Stieglitz & Milad Mirbabaie & Nicholas R. J. Möllmann & Jannik Rzyski, 2022. "Collaborating with Virtual Assistants in Organizations: Analyzing Social Loafing Tendencies and Responsibility Attribution," Information Systems Frontiers, Springer, vol. 24(3), pages 745-770, June.

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