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Titlebook: Statistical Models for Strategic Management; Michel Ghertman,Jacques Obadia,Jean-Luc Arregle Book 1997 Springer Science+Business Media Dor

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Regression Analysis and Governanceisms together act to mitigate the shareholder-manager agency problem, and examine the implications of this idea for designing empirical research on corporate governance using regression models. We outline the consequences of the omitted variable problem that arises if linkages between governance mec
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The Effect of Strategic Technology Alliances on Company Performance: A LISREL Approachs of) factors were specified to analyze these effects: sectoral features, national circumstances, company structure, innovativeness and external linkages. The paper explaines the theoretical and statistical reasons why a particular LISREL-model was chosen to analyze effects of strategic technology a
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Binomial Logistic Models, Transaction Costs, and Joint Ventures: A Methodological Note The paper then examines the practical problems and limitations faced in conducting such research, “using my 1991 Management Science study” of the ownership policies of Japanese foreign direct investors in the United States as an example. I conclude by suggesting areas for future research.
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Logistic Regression, Segmentation Modeling and Governance Choice in the Waste Management Industrynd low competence induce waste management firms to prefer collaboration over other governance choice. Multinomial logistic regression and segmentation modeling (SM) give complementary and robust results while SM is more straightforward to use and interpret.
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sored by the American Peptide Society and Vanderbilt University. The attendance of 1,081 participants from 37 countries was lower than the two previously held Symposia. However, the number of participating countries was the largest. Thus, it was gratifying to see that this meeting retained both its
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