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A Systematic Framework for Multilevel Theorizing in Information Systems Research
Author(s) -
Meng Zhang,
Guy G. Gable
Publication year - 2017
Publication title -
information systems research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.507
H-Index - 159
eISSN - 1526-5536
pISSN - 1047-7047
DOI - 10.1287/isre.2017.0690
Subject(s) - perspective (graphical) , multilevel model , focus (optics) , computer science , management science , data science , knowledge management , sociology , epistemology , artificial intelligence , engineering , philosophy , physics , machine learning , optics
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

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