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

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review

    Abstract

    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
    Pages254
    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
    http://aib.msu.edu/events/2013/

    Conference

    ConferenceAIB 2013 Annual Meeting
    Number55
    LocationSabancı University, Koç University, and Özyeğin University
    CountryTurkey
    CityIstanbul
    Period03/07/201306/07/2013
    Internet address
    SeriesAcademy of International Business. Annual Meeting. Proceedings
    Volume55
    ISSN2078-4430

    Cite this

    Nielsen, B. B., & Nielsen, S. (2013). Modeling Complex Nesting Structures in International Business Research: An Illustration of Cross-Nested Multilevel Analysis of the Multinationality-Performance Relationship. In P. McDougall-Covin, & T. Kiyak (Eds.), Proceedings of the 55th Annual Meeting of the Academy of International Business (pp. 254). East Lansing, MI: Academy of International Business. Academy of International Business. Annual Meeting. Proceedings, Vol.. 55
    Nielsen, Bo Bernhard ; Nielsen, Sabina. / Modeling Complex Nesting Structures in International Business Research : An Illustration of Cross-Nested Multilevel Analysis of the Multinationality-Performance Relationship. Proceedings of the 55th Annual Meeting of the Academy of International Business. editor / Patricia McDougall-Covin ; Tunga Kiyak. East Lansing, MI : Academy of International Business, 2013. pp. 254 (Academy of International Business. Annual Meeting. Proceedings, Vol. 55).
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    title = "Modeling Complex Nesting Structures in International Business Research: An Illustration of Cross-Nested Multilevel Analysis of the Multinationality-Performance Relationship",
    abstract = "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.",
    author = "Nielsen, {Bo Bernhard} and Sabina Nielsen",
    year = "2013",
    language = "English",
    series = "Academy of International Business. Annual Meeting. Proceedings",
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    Nielsen, BB & Nielsen, S 2013, Modeling Complex Nesting Structures in International Business Research: An Illustration of Cross-Nested Multilevel Analysis of the Multinationality-Performance Relationship. in P McDougall-Covin & T Kiyak (eds), Proceedings of the 55th Annual Meeting of the Academy of International Business. Academy of International Business, East Lansing, MI, Academy of International Business. Annual Meeting. Proceedings, vol. 55, pp. 254, Istanbul, Turkey, 03/07/2013.

    Modeling Complex Nesting Structures in International Business Research : An Illustration of Cross-Nested Multilevel Analysis of the Multinationality-Performance Relationship. / Nielsen, Bo Bernhard; Nielsen, Sabina.

    Proceedings of the 55th Annual Meeting of the Academy of International Business. ed. / Patricia McDougall-Covin; Tunga Kiyak. East Lansing, MI : Academy of International Business, 2013. p. 254 (Academy of International Business. Annual Meeting. Proceedings, Vol. 55).

    Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsResearchpeer-review

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    T1 - Modeling Complex Nesting Structures in International Business Research

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    AU - Nielsen, Bo Bernhard

    AU - Nielsen, Sabina

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    N2 - 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.

    AB - 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.

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    T3 - Academy of International Business. Annual Meeting. Proceedings

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    A2 - Kiyak, Tunga

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    Nielsen BB, Nielsen S. Modeling Complex Nesting Structures in International Business Research: An Illustration of Cross-Nested Multilevel Analysis of the Multinationality-Performance Relationship. In McDougall-Covin P, Kiyak T, editors, Proceedings of the 55th Annual Meeting of the Academy of International Business. East Lansing, MI: Academy of International Business. 2013. p. 254. (Academy of International Business. Annual Meeting. Proceedings, Vol. 55).