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ID:
160622
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Summary/Abstract |
Through the lens of veterans studies, we know a great deal about the fate of those soldiers who have recently returned home following a period of deployment in Iraq and Afghanistan, yet counterintuitively we know nothing about the plight of the private military contractors who worked alongside them. Addressing this blind spot, the article explores the socioeconomic trajectories of “private military veterans” from a life-course perspective. Specifically, it addresses three questions regarding their status in the civilian labor market. What occupations do they work in? To what extent do they work in similar occupations to public military veterans? To what extent do they work in similar occupations to the general population? Focusing on the U.K. case, it reveals that private military veterans are significantly overrepresented in the “protective service occupations,” where they primarily work in the private security industry, and offers a multilayered explanation for this distinctive clustering effect.
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2 |
ID:
182545
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Summary/Abstract |
Spillover effects describe the process of a company benefiting from the R&D activities of another one and thereby gaining an economic advantage. One prominent approach for measuring spillover effects is based on the analysis of patent citation networks. Taking social media analytics and knowledge economics into account, this paper presents a complementary approach to quantify spillover effects from defense to civilian research and development, analyzing 513 employment biographies from the social network LinkedIn. Using descriptive network analysis, we investigate the emigration of personnel of the German defense industry to other civilian producers. Thereby, our study reveals that in the last decade, employees of defense suppliers have changed positions significantly less often, with 3.24 changes on average than professionals who have worked more than 50% of their jobs in the civilian sector, having changed 4.61 times on average. Our work illustrates the churn behavior and how spillover effects between defense and civilian sectors can be measured using social career networks such as LinkedIn.
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3 |
ID:
118504
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