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A Systematic Framework for Multilevel Theorizing in Information Systems Research

Author

Listed:
  • Meng Zhang

    (Information Systems School, Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD 4000, Australia)

  • Guy G. Gable

    (Information Systems School, Science and Engineering Faculty, Queensland University of Technology, Brisbane, QLD 4000, Australia)

Abstract

Information systems (IS) research usually investigates phenomena at one level of analysis at a time. However, complex IS phenomena may be difficult to address from such a single-level perspective. A multilevel perspective offers an alternative means to examine phenomena by simultaneously accounting for multiple levels of analysis. Although useful guidelines for theory development are widely available, they give little specific attention to developing theory that is conceptualized and analyzed at multiple levels. Multilevel theorizing or developing theory from a multilevel perspective is more complex and involves unique challenges. To promote multilevel theorizing in the IS discipline, we focus on addressing challenges involved in multilevel theorizing and propose a holistic framework for systematically developing theory from a multilevel perspective. Drawing from the organization science and IS literature, the proposed framework harmonizes and synthesizes previous guidelines, providing a practical basis for conceptualizing and studying multilevel phenomena.

Suggested Citation

  • Meng Zhang & Guy G. Gable, 2017. "A Systematic Framework for Multilevel Theorizing in Information Systems Research," Information Systems Research, INFORMS, vol. 28(2), pages 203-224, June.
  • Handle: RePEc:inm:orisre:v:28:y:2017:i:2:p:203-224
    DOI: 10.1287/isre.2017.0690
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    References listed on IDEAS

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    Cited by:

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    2. Nambisan, Satish & Wright, Mike & Feldman, Maryann, 2019. "The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes," Research Policy, Elsevier, vol. 48(8), pages 1-1.
    3. Aleksei A. Sychugov & Elvir M. Akhmetshin & Vyacheslav M. Grishin & Raisa N. Shpakova & Andrei V. Plotnikov, 2019. "Algorithm Determine Trust Value To The Distributed Information Systems Elements," Journal of Mechanical Engineering Research & Developments (JMERD), Zibeline International Publishing, vol. 42(2), pages 6-9, January.
    4. Möhlmann, Mareike, 2021. "Unjustified trust beliefs: Trust conflation on sharing economy platforms," Research Policy, Elsevier, vol. 50(3).
    5. Zhao-ge Liu & Xiang-yang Li & Dilawar Khan Durrani, 2021. "Generating evacuation task plans for community typhoon emergencies: an integration of case-driven and model-driven approaches," Operational Research, Springer, vol. 21(1), pages 745-774, March.

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