1,721,143 research outputs found
Fast Friends: The Impact of Short-Term Visits on Firms' Invention Outcomes
We examine how employees' short-term visits between research and development (R&D) centers across different countries can enhance a firm's invention outcomes through enhancing intraorganizational knowledge flows and mutual trust between scientists. We utilize the staggered introduction of the U.S. visa waiver program (VWP) to 41 countries in 1988-2023, which substantially increased short-term visits to the United States. Following the introduction of the VWP, global pharmaceutical companies with R&D centers in VWP countries showed a significant increase in invention quantity and scope compared with those without R&D centers in VWP countries. Notably, we find that the benefits of short-term visits are greater when there is an intermediate knowledge distance between firms' R&D centers in the United States and VWP countries. If R&D centers have similar knowledge bases, efficient knowledge flows can occur even without visits. For centers with very different knowledge bases, short-term visits do not provide enough time for sufficient knowledge flows. Benefits of short-term visits are also magnified when the cultural distance is greater between firms' R&D centers. Our findings highlight that even short-term face-to-face interactions can enhance the sharing of tacit knowledge and subsequent invention, thereby offering important managerial and policy implications.N
Cultural Techniques of Law, Notes toward a format of legal studies
Translation of an article by Fabian Steinhauer in Law Text Culture
How does artificial intelligence improve human decision-making? Evidence from the AI-powered Go program
Research SummaryWe study how humans learn from artificial intelligence (AI), leveraging an introduction of an AI-powered Go program (APG) that unexpectedly outperformed the best professional player. We compare the move quality of professional players to APG's superior solutions around its public release. Our analysis of 749,190 moves demonstrates significant improvements in players' move quality, especially in the early stages of the game where uncertainty is highest. This improvement was accompanied by a higher alignment with AI's suggestions and a decreased number and magnitude of errors. Young players show greater improvement, suggesting potential inequality in learning from AI. Further, while players of all skill levels benefit, less skilled players gain higher marginal benefits. These findings have implications for managers seeking to adopt and utilize AI in their organizations.Managerial AbstractWe examine how professionals can learn from artificial intelligence (AI) by studying an AI-powered Go program (APG) that outperformed the best professional player. By analyzing 749,190 moves, we find that players' move quality improved significantly, closely aligning with the AI's recommendations. The number and magnitude of errors also decreased. This learning effect was particularly strong early in the game where decisions are more uncertain. Young players showed greater effect, suggesting that learning from AI may vary by age. While players of all skill levels benefited, those with less skill saw the greatest improvement. These findings highlight the instructional role of AI and offer guidance on how to effectively integrate AI into organizations to enhance worker performance across different age groups and skill levels.N
How innovating firms manage knowledge leakage: A natural experiment on the threat of worker departure
Research Summary Knowledge protection strategies are crucial to innovating firms facing the risk of knowledge leakage. We examine the threat of worker departure as a key mechanism through which firms choose between patents and secrecy. We exploit a 1998 California court decision that ruled out-of-state noncompetes were not enforceable in California, thereby creating a loophole limiting non-California firms in their enforcement of noncompetes against their workers. When facing a higher threat of worker departure, firms strategically increased patent filings, exchanging legal protection for public disclosure of the invention. These effects were magnified for large-sized firms and for those in complex and fast-growing industries. Further mechanism tests on the possession of trade secrets, inventor migration, saliency of the decision, and independent inventors support our theoretical account. Managerial Summary Innovating firms may use patents or secrecy, among other mechanisms, to protect their knowledge from leakage. How do firms make this important strategic choice? By using a natural experiment arising from a 1998 California court decision, we show the risk of worker departure can be a key driver. The decision significantly increased the risk of workers departing non-California firms. Our findings show that, in response to the heightened risk, affected firms increasingly relied on patents, seeking legal protection although it meant public disclosure of the invention. The effects were greater for large-sized firms and for those in complex and fast-growing industries. We encourage managers to consider worker mobility and, more broadly, legal environments that govern labor market conditions when formulating knowledge protection strategies.Y
Non‐competes, business dynamism, and concentration: Evidence from a Florida case study
Most research on non-competes has focused on employees; here we study how non-competes affect firm location choice, growth, and consequent regional concentration, using Florida's 1996 legislative change that eased restrictions on their enforcement. Difference-in-differences models show that following the change, establishments of large firms were more likely to enter Florida; they also created a greater proportion of jobs and increased their share of employment in the state. Entrepreneurs or establishments of small firms, in contrast, were less likely to enter Florida following the law change; they also created a smaller proportion of new jobs and decreased their share of employment. Consistent with these location and job creation dynamics, regional business concentration increased following the law change in Florida. Nationwide cross-sections demonstrate consistent correlations between state-level non-compete enforcement and the location, employment, and concentration dynamics illustrated in Florida
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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