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Impact of Environmental Uncertainty and Task Characteristics on User Satisfaction with Data

Author

Listed:
  • Jahangir Karimi

    (School of Business, University of Colorado at Denver, Campus Box 165, P.O. Box 173364, Denver, Colorado 80217-3364)

  • Toni M. Somers

    (School of Business Administration, Wayne State University, 5201 Cass Avenue, Detroit, Michigan 48202)

  • Yash P. Gupta

    (Marshall School of Business, University of Southern California, 701 Exposition Boulevard, Suite 800, Los Angeles, California 90089)

Abstract

Today, more than ever before, organizations are faced with the task of processing volumes of information under more uncertain and more competitive environments. This study investigates the impact of environmental uncertainty and task characteristics on user satisfaction with data by using IS and organizational theories. Responses were matched from 77 CEOs and 166 senior managers, who were end users of IS. The partial least squares technique indicated that environmental uncertainty has a positive impact on task characteristics. Task characteristics have a direct and mediating impact on user satisfaction with data. Our findings also demonstrated that user satisfaction with data could be better understood by overlapping IS and organizational theories, rather than by treating the subject matter in disjoint fields. The paper concludes with discussions and implications for researchers and practitioners.

Suggested Citation

  • Jahangir Karimi & Toni M. Somers & Yash P. Gupta, 2004. "Impact of Environmental Uncertainty and Task Characteristics on User Satisfaction with Data," Information Systems Research, INFORMS, vol. 15(2), pages 175-193, June.
    • Handle: RePEc:inm:orisre:v:15:y:2004:i:2:p:175-193
    DOI: 10.1287/isre.1040.0022
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    References listed on IDEAS

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    Cited by:

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    2. Li, Huanli & Wu, Yun & Cao, Dongmei & Wang, Yichuan, 2021. "Organizational mindfulness towards digital transformation as a prerequisite of information processing capability to achieve market agility," Journal of Business Research, Elsevier, vol. 122(C), pages 700-712.
    3. Qian Li & Yuanfei Kang, 2019. "Knowledge Sharing Willingness and Leakage Risk: An Evolutional Game Model," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
    4. Shao, Junyang & Moser, Roger & Henke, Michael, 2012. "Multidimensional supply performance framework: A conceptual development and empirical analysis," International Journal of Production Economics, Elsevier, vol. 138(1), pages 26-34.
    5. Arnold, Ulli & Neubauer, Joerg & Schoenherr, Tobias, 2012. "Explicating factors for companies’ inclination towards corruption in Operations and supply chain management: An exploratory study in Germany," International Journal of Production Economics, Elsevier, vol. 138(1), pages 136-147.
    6. Lueg, Rainer & Borisov, Boris Genadiev, 2014. "Archival or perceived measures of environmental uncertainty? Conceptualization and new empirical evidence," European Management Journal, Elsevier, vol. 32(4), pages 658-671.
    7. Hadziroh Ibrahim & Nur Zahiyah Othman, 2014. "The Influence of Techno stress and Organizational-Is Related Support on User Satisfaction in Government Organizations: A Proposed Model and Literature Review," Information Management and Business Review, AMH International, vol. 6(2), pages 63-71.
    8. Huigang Liang & Nianxin Wang & Yajiong Xue & Shilun Ge, 2017. "Unraveling the Alignment Paradox: How Does Business—IT Alignment Shape Organizational Agility?," Information Systems Research, INFORMS, vol. 28(4), pages 863-879, December.
    9. Kirchner, Alexander & Labusch, Nils & Lopez Cordoba, Adriana & Sartor, Sebastian & Tumbas, Sanja & Villalon, Enrique & Wiethoff, Sebastian, 2011. "Network e-Volution," ERCIS Working Papers 11, University of Münster, European Research Center for Information Systems (ERCIS).

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