Modeling Complex Nesting Structures in International Business Research: An Illustration of Cross-Nested Multilevel Analysis of the Multinationality-Performance Relationship

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    International business (IB) phenomena often involve complex relationships between factors at different levels. Multinational corporations (MNCs) are influenced both by different country and industry environments which may have independent as well as interactive effects on MNC performance. While hierarchical random coefficient models (RCM) are often used for the analysis of multilevel phenomena, IB issues often result in more complex nested structures. This paper illustrates how cross-nested multilevel modeling allowing for predictor variables and cross-level interactions at multiple (crossed) levels of analysis may yield novel insights to IB research. The results have implications for IB research in its pursuit of an integrative approach to understanding the multilevel determinants of firm internationalization and performance. The paper further illustrates the importance of adequately modeling crossed-nested structures in multilevel models.
    Original languageEnglish
    Title of host publicationProceedings of the 55th Annual Meeting of the Academy of International Business
    EditorsPatricia McDougall-Covin, Tunga Kiyak
    Place of PublicationEast Lansing, MI
    PublisherAcademy of International Business
    Publication date2013
    Publication statusPublished - 2013
    EventAIB 2013 Annual Meeting : Bridging the Divide: Linking IB to Complementary Disciplines and Practice - Sabancı University, Koç University, and Özyeğin University, Istanbul, Turkey
    Duration: 3 Jul 20136 Jul 2013
    Conference number: 55


    ConferenceAIB 2013 Annual Meeting
    LocationSabancı University, Koç University, and Özyeğin University
    Internet address
    SeriesAcademy of International Business. Annual Meeting. Proceedings

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