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 language | English |
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Title of host publication | Proceedings of the 55th Annual Meeting of the Academy of International Business |
Editors | Patricia McDougall-Covin, Tunga Kiyak |
Place of Publication | East Lansing, MI |
Publisher | Academy of International Business |
Publication date | 2013 |
Pages | 254 |
Publication status | Published - 2013 |
Event | AIB 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 2013 → 6 Jul 2013 Conference number: 55 http://aib.msu.edu/events/2013/ |
Conference
Conference | AIB 2013 Annual Meeting |
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Number | 55 |
Location | Sabancı University, Koç University, and Özyeğin University |
Country/Territory | Turkey |
City | Istanbul |
Period | 03/07/2013 → 06/07/2013 |
Internet address |
Series | Academy of International Business. Annual Meeting. Proceedings |
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Volume | 55 |
ISSN | 2078-4430 |