Toward a Way to Enhance Organizational Effectiveness in the Defense Sector: Associating CVF with DEA
In: The Korean journal of defense analysis, Band 18, Heft 1, S. 135-159
ISSN: 1941-4641
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In: The Korean journal of defense analysis, Band 18, Heft 1, S. 135-159
ISSN: 1941-4641
In: Public performance & management review, Band 30, Heft 2, S. 155-178
ISSN: 1557-9271
In: Public performance & management review, Band 30, Heft 2, S. 155-178
ISSN: 1530-9576
In: Armed forces & society: official journal of the Inter-University Seminar on Armed Forces and Society : an interdisciplinary journal, Band 38, Heft 2, S. 291-318
ISSN: 0095-327X
In: Armed forces & society, Band 38, Heft 2, S. 291-317
ISSN: 1556-0848
This study argues that a state's power is best conceptualized by considering how a state interacts with all other states in different networks within the international system. This social network explanation for national power is applied to militarized conflicts, one of the most widely studied empirical phenomena in international relations, focusing on their power explanations. The empirical analysis of militarized conflicts at the dyadic level produces findings that strongly support power preponderance theory over balance of power theory. The evidence from nonparametric model discrimination statistics and information criteria measures also shows that our conflict models with new social network power measures have greater explanatory power than or statistically outperform models relying on attributional power measures, such as Correlates of War index and Gross National Product (GNP). [Reprinted by permission; copyright Inter-University Seminar on Armed Forces and Society/Sage Publications Inc.]
In: Armed forces & society, Band 38, Heft 2, S. 291-317
ISSN: 1556-0848
This study argues that a state's power is best conceptualized by considering how a state interacts with all other states in different networks within the international system. This social network explanation for national power is applied to militarized conflicts, one of the most widely studied empirical phenomena in international relations, focusing on their power explanations. The empirical analysis of militarized conflicts at the dyadic level produces findings that strongly support power preponderance theory over balance of power theory. The evidence from nonparametric model discrimination statistics and information criteria measures also shows that our conflict models with new social network power measures have greater explanatory power than or statistically outperform models relying on attributional power measures, such as Correlates of War index and Gross National Product (GNP).