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作者：Higgins, MC; Gulati, R
作者单位：Harvard University; Northwestern University
摘要：Young firms going public are dependent upon the decisions of investors for a successful public offering. Yet convincing investors to invest is not easy, as young firms have limited track records and, thus, face challenges associated with gaining legitimacy in their respective industries. This paper examines ways in which select information about firms undertaking an initial public offering (IPO) can affect investor decisions. Building upon recent research on upper echelons and signaling theory...
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作者：Agrawal, A
作者单位：University of Toronto
摘要：A significant portion of knowledge generated by university inventors remains latent (uncodified but codifiable), even though this information is valuable to firms that have licensed their inventions and famously strong incentives exist to disseminate academic findings widely. However, the licensee may access and exploit this latent knowledge by engaging the inventor during the development phase. This paper examines the hypothesis that licensing strategies that directly engage the inventor incr...
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作者：Bergh, DD; Perry, J; Hanke, R
作者单位：Purdue University System; Purdue University; Wichita State University; University System of Ohio; Bowling Green State University
摘要：Article impact is becoming an increasingly popular metric for assessing a scholar's influence, yet little is known about its properties or the factors that affect it. This study tests whether author, article, and methodological attributes influence the impact of SMJ articles, defined as summed counts of article citations. Findings reveal that authors having fewer, more-often cited articles tended to have SMJ articles that received the most citations. In addition, whether an article appears in ...
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作者：Hough, JR
作者单位：University of Tulsa
摘要：Over the last 20 years, strategy scholars have explored the relative influence of industry and corporate effects on business segment performance. The present research acknowledges the inherent multilevel, cross-classified nature of the data and demonstrates that results are not robust to statistical method. Using 1995-99 data from 'operating segments,' the multilevel analysis presented in this article found that (1) business segment effects explain twice as much variance in business segment pe...
