Abstract
Four studies are described to illustrate the usage of latent variable structural equations modeling in research on internationalization strategies. The first two studies address the relationship between globalization strategies and structure, and the role of national differences. The third and fourth studies describe factors affecting the performance of international strategic alliances. The literature and theoretical reviews are purposely kept brief, as the paper focuses on methodological issues, with the emphasis on how to apply structural equations modeling techniques. The paper specifically compares PLS and LISREL, the two most common structural equations modeling techniques used in empirical testing.
The authors thank Aya Chacar, Ph.D candidate, UCLA, for her help with this paper; and the Marketing Science Institute, the Center for International Business Education and Research at UCLA, and NFR/NORAS, Norway (grant No. 2151309) for their support of the earlier studies on which this paper is based.
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Roos, J., Yip, G.S., Johansson, J.K. (1997). Using Partial Least Squares and LISREL to Research International Strategies. In: Ghertman, M., Obadia, J., Arregle, JL. (eds) Statistical Models for Strategic Management. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2614-5_5
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