共查询到20条相似文献，搜索用时 27 毫秒
1.
This article aimed to identify the effect of university-industry (U-I) collaborations on the innovative performance of firms operating in the advanced materials field, and by doing so, it proposed an original classification of the research organization partners. The main contribution resides in the estimation of the role played by collaborations with differently experienced scientists. In contrast with previous studies, whose empirical setting was the life science industry, in the advanced materials industry the most effective collaborations are not with “Star scientists”, but with “Pasteur scientists”. The latter concept was empirically tested first by the authors of this article, to deepen the present understanding of industrial heterogeneity in innovation processes and to offer new insights for the formulation of corporate innovation strategies. The results of the estimation of a negative binomial regression model applied to a sample of 455 firms active in the photocatalysis in Japan confirm the idea that engaging in research collaborations, measured as co-invention, with “Pasteur scientists” increases firms’ R&D productivity, measured as number of registered patents. In contrast, we found that firms’ collaborations with “Star scientists” exert little impact on their innovative output. 相似文献
2.
Yamini Jha 《Research Policy》2010,39(9):1174-1184
Norms of academic science and engineering are moving in the direction of broader applicability and transferability of knowledge beyond the borders of the university. In response, scientists are expected to engage in collaboration that includes both basic and applied collaborative activities. More specifically, the norms of science are beginning to change to allow for novel forms of collaboration that involve sharing of research ideas on multiple facets of collaborative work. This paper examines the extent to which multifaceted collaboration is attributable to relational aspects of individuals’ networks. Specifically, we ask the question: what relational aspects of social capital determine multifaceted collaboration among scientists in six fields of science and engineering? Borrowing literature from social capital and science and technology (S&T) human capital, this paper develops a multi-level model of multifaceted collaboration and presents a set of testable hypotheses. Then using data from a national survey of men and women faculty in six fields, we analyze the multi-level data: relationship or dyad level (level 1) and ego level (level 2) with hierarchical linear modeling (HLM) to predict multifaceted collaboration of academic scientists. Findings show that some relational characteristics explain multifaceted collaborative behavior as predicted, while others behave in unexpected ways. Conclusions place the findings in context for theory and policy. 相似文献
3.
In this paper, linkages of S&T activities between industry and science are statistically investigated, based on a firm level dataset from an S&T survey by the National Bureau of Statistics (NBS) of the PRC of about 22,000 manufacturing firms. During the transition period of China's innovation system from 1996 to 2002, firms’ S&T outsourcing activities increased significantly. Econometrics analysis reveals that (1) “absorptive capacity” for S&T outsourcing becomes important over time, (2) innovation system reforms for more market-based competition work for better incentive scheme for innovation though S&T linkage activities and (3) government funding of S&T induces more S&T linkages. 相似文献
4.
Do men and women academic faculty vary in their research collaboration patterns and strategies? This straightforward question does not lend itself to a straightforward answer. A great many sex-correlated variables could possibly mitigate the relationship of sex and collaboration. If one finds sex-correlated differences in the number of collaborators, can one infer that there is something intrinsic to men's and women's work strategies and preferences? Or would such differences owe instead to women's and men's different positions in work structures and hierarchies? The focus here is on two sets of research collaboration variables, numbers of collaborators and the collaboration strategies employed. The study uses questionnaire data from the U.S. National Survey of Academic Scientists (n = 1714) and tests several hypotheses about collaboration numbers and strategies. Regression results indicate, counter to the core hypotheses and almost all published literature, that in a properly specified model, one taking into account such factors as tenure, discipline, family status and doctoral cohort, women actually have somewhat more collaborators on average than do men. For both men and women, those with more industrial interactions and those affiliated with university research centers have more collaborators. Men and women differ in their collaborator choice strategies. Men are more likely to be oriented to “instrumental,” and “experience” strategies, while both men and women are motivated by “mentoring” strategies. Regression analyses show that for both men and women, having a coherent collaborator choice strategy predicts the number of collaborators. 相似文献
5.
Catherine D.F. Corolleur 《Research Policy》2004,33(4):631-642
This paper examines how scientific and technological (S&T) human capital is transformed into financial capital through the creation of firms by scientists. The analysis is based on a database describing the positions held by 132 founders from 62 French biotech SMEs. It shows that star scientists engage in highly risky but also valuable firms. Less famous scientists must develop their human capital rather than valorising a stock. The paper concludes by pointing to three paradoxes concerning the commitment and compensation scheme of star scientists and the managerial position of less known scientists. 相似文献
6.
《Research Policy》2023,52(6):104779
A number of studies has focused on examining those academic researchers attributes-demographics or not- that condition international research collaboration (IRC) and its results. However, it is not possible to speak about an ‘ideal’ type of researcher so far. Should we assume that just only those ‘star researchers’ collaborate internationally?. The literature is not clear enough on this topic, offering interesting but insufficient support to know the set of individual characteristics that ensures fruitful IRC. To deepen the analysis of academic researchers attributes, in particular, the human capital characteristics, this study proposes in-depth research on exploring different combinations on human capital dimensions and testing potential differences in IRC levels. To do so, from an exploratory perspective, a cluster analysis was conducted in a sample of 937 Spanish academics, obtaining three researcher profiles: (1) consolidated international research collaborators, (2) effective international research collaborators, and (3) skilled international research collaborators. Far from the recurrent analysis of single or disconnected researchers' attributes, this paper contributes to the extant literature with a new typology based on the variables of academic human capital, providing an useful starting point to better understand who really can develop international networks to collaborate and, therefore, how to foster IRC in Universities. 相似文献
7.
Research collaboration is perhaps the singular feature that university research centers, broadly defined, share. Yet, there has been little systematic study of the center-level attributes that facilitate (or hinder) research collaboration at the individual level. This paper estimates whether center-level measures of research capacity and structure affect center affiliated university scientists’ and engineers’ collaborative behaviors. We consider the effects of center multidisciplinarity, size, and center ties to private firms and to federally funded centers programs on the time allocated to collaboration with researchers from industry, other universities, government laboratories, and abroad. Our analyses compare center to non-center scientists and also address within-group differences among center scientists. The findings demonstrate some center-level attributes to “map” to the expected collaborative behaviors while other center-level attributes do not. We conclude with a discussion of areas for future research and implications for the design and management of university research centers. 相似文献
8.
This paper analyzes the effect of university research centers on the productivity and collaboration patterns of university faculty. University research centers are an important subject for policy analysis insofar that they have become the predominant policy response to scientific and technical demands that have not been met by extant institutions, including academic departments, private firms, and government laboratories. Specifically, these centers aim to organize researchers from across the disciplines and sectors which, collectively as a research unit, possess the scientific and technical capacity relevant to scientific and technical goals of the sponsoring agencies. In this paper, we measure the productivity and collaboration patterns of university researchers affiliated with a relatively large-scale and “mature” university research center to discern the effects, if any, of the center mechanism on individual scientists and engineers. Based on an analysis of longitudinal bibliometric data, the results from this case study demonstrate affiliation with the center to be effective at enhancing overall productivity as well as at facilitating cross-discipline, cross-sector, and inter-institutional productivity and collaborations. 相似文献
9.
Fiona Murray 《Research Policy》2004,33(4):643-659
While science-based entrepreneurial firms are a key feature of the modern economy, our insights into their organization and productivity remain limited. In particular, our understanding of the mechanisms through which academic inventors shape entrepreneurial firms established to commercialize their scientific ideas is based upon a traditional perspective that highlights the importance of human capital. Based on a study of biotechnology firms and their academic inventors, this paper examines the extent and mechanisms through which academic scientists contribute not only human capital but also social capital to entrepreneurial firms. The paper makes two contributions to our understanding of the academic-firm interface: First, it establishes that the social capital of academic scientists is critical to firms because it can be transformed into scientific networks that embed the firm in the scientific community through a variety of mechanisms. Second, the paper argues that an academic inventor’s career plays a critical role in shaping his social capital, thus scientific careers mediate the networks and potential for embeddedness that an academic inventor brings to a firm. Specifically, the foundations of an academic’s social capital can be traced to two sources: The first element that the firm may leverage is the academic’s local laboratory network—a network to current and former students and advisors established by the inventor through his laboratory life. The second form of social capital is a wider, cosmopolitan network of colleagues and co-authors established through the social patterns of collaboration, collegiality and competition that exemplify scientific careers. These findings suggest that scientific careers are central in shaping an academic’s social capital which can be translated into critical scientific networks in which entrepreneurial firms become embedded. 相似文献
10.
Objectives, agreements and matching in science-industry collaborations: reassembling the pieces of the puzzle 总被引：1，自引：0，他引：1
Nicolas Carayol 《Research Policy》2003,32(6):887-908
Science-industry collaborations have been the subject of a considerable attention in the last few years. The paper argues that, however, the existing studies are still restricted to a partial view of the phenomenon. In this respect, our study departs from the specialised literature by taking into consideration, for a given set of heterogeneous collaborations, information from both the academics’ and the firms’ side, relative to their characteristics, their aims and the collaboration settings. To do so, we constructed a database of 46 collaborations from original data we collected, in several European countries and in the US, within the SESI-TSER project. The first outcome of our study is a typology of science-industry collaborations built on a formal procedure (a multi-correspondence analysis followed by an ascendant hierarchical classification) exhibiting five coherent types of collaborations that we describe precisely. Highlighting the crucial importance of research agendas, we thus propose a simple rationale for the matching process. The latter leads us to propose an “assortative” matching hypothesis generating two polar configurations which we test and confirm. Finally, we examine the policy implications of the findings. 相似文献
11.
Patterns of preservation, restructuring and survival: science and technology policy in Russia in post-Soviet era 总被引：1，自引：0，他引：1
Slavo Radosevic 《Research Policy》2003,32(6):1105-1124
This paper analyses the role of S&T policy in the adjustment and restructuring of Russian S&T system in the post-Soviet period. The principal argument is that the adjustment of S&T system in Russia has been evolving between ‘preservation of S&T potential’, its restructuring, and survival strategies developed by researchers and R&D organisations. Interaction of these factors explains much of the pace and patterns of restructuring of Russian S&T system observed in the post-Soviet period. The model that emerged is the post-Soviet R&D model, which is relevant for Russia and also for other CIS. The paper analyses strategic options available to Russian policy makers. 相似文献
12.
In this study, we propose and validate social networks based theoretical model for exploring scholars’ collaboration (co-authorship) network properties associated with their citation-based research performance (i.e., g-index). Using structural holes theory, we focus on how a scholar’s egocentric network properties of density, efficiency and constraint within the network associate with their scholarly performance. For our analysis, we use publication data of high impact factor journals in the field of “Information Science & Library Science” between 2000 and 2009, extracted from Scopus. The resulting database contained 4837 publications reflecting the contributions of 8069 authors. Results from our data analysis suggest that research performance of scholars’ is significantly correlated with scholars’ ego-network measures. In particular, scholars with more co-authors and those who exhibit higher levels of betweenness centrality (i.e., the extent to which a co-author is between another pair of co-authors) perform better in terms of research (i.e., higher g-index). Furthermore, scholars with efficient collaboration networks who maintain a strong co-authorship relationship with one primary co-author within a group of linked co-authors (i.e., co-authors that have joint publications) perform better than those researchers with many relationships to the same group of linked co-authors. 相似文献
13.
There is a lack of understanding regarding the optimal conditions for interdisciplinary research. This study investigates what characteristics of researchers are associated with disciplinary and interdisciplinary research collaborations and what collaborations are most rewarding in different scientific disciplines. Our results confirm that female scientists are more engaged in interdisciplinary research collaborations. Further, a scientist's years of research experience are positively related with both types of collaboration. Work experience in firms or governmental organizations increases the propensity of interdisciplinary collaborations, but decreases that of disciplinary collaborations. Disciplinary collaborations occur more frequent in basic disciplines; interdisciplinary collaborations more in strategic disciplines. We also found that in both types of disciplines, disciplinary collaborations contribute more to career development than interdisciplinary collaborations. We conclude with three recommendations for science and innovation policy, while emphasising the need to distinguish between different scientific disciplines. 相似文献
14.
Interactions between public research organizations and industry can be conceptualized as having three main stages: drivers of interaction, channels of interaction, and the perceived benefits from collaboration. Both of the agents differ in terms of the incentives they have to collaborate and the behaviors they adopt during the collaboration process. Following a three-stage model based on Crépon et al. (1998), this paper discusses the impact of drivers of collaboration on channels of interaction, and the impact of these channels on the perceived benefits by researchers and firms. The methodology also allows firm-level benefits from interaction to be connected with researchers’ characteristics via the analysis of four common channels of interaction for firms and researchers. The study is based on original data collected through two surveys, carried out in Mexico during 2008, of R&D and product-development managers of firms and of academic researchers. Our results show that all channels of interaction play an important role in determining benefits; however, they differ in terms of their impact on short- or long-term benefits for firms. The channels related to joint and contract R&D, property rights, and human resources are the best, as they have a higher impact on long-term benefits for firms. Policy implications derived from this study focus on specific actions that enhance those researchers’ characteristics related to the best channels for fostering long-term benefits for firms. 相似文献
15.
This study explores the role of contemporaneous peer effects in driving an academic's involvement with industry. Specifically, we examine the influence of workplace peers and personal collaborators and how these effects are moderated by the career age of the scientist. Moreover, we look at situations in which both types of social influence are incongruent and the academic is faced with “dissonance”. Based on survey data of 355 German academics in the field of biotechnology and publication data from the Science Citation Index Expanded (SCIE), we find that the scientist's involvement with industry increases with the orientation of the scientist's department toward industry (“localized peer effect”). This effect turns out to be moderated by the scientist's age, such that the localized peer effect decreases with age and finally turns negative for very senior scientists. Moreover, we find that a scientist's involvement increases with the industry orientation of the scientist's co-authors (“personal peer effect”), irrespective of the scientist's age. In case both types of social influence are incongruent, younger scientists will revert to localized norms while more experienced scientists will orient themselves more toward their personal collaborators. 相似文献
16.
《Research Policy》2022,51(7):104551
Firms frequently enter collaborations with other organizations for the purpose of innovating. In this paper, we argue that engaging in R&D collaboration can have the unintended consequence of increasing the mobility of highly skilled personnel. We investigate our research question using a representative dataset that combines information from the Swedish Community Innovation Survey (CIS) with employer–employee registry data. Our econometric analysis shows that R&D collaborations by firms are associated with higher levels of outgoing mobility among skilled employees, particularly among those with technical (“STEM”) education and master's or doctoral degrees. We also find support for the interpretation that R&D collaboration augments employees’ general human capital, subsequently increasing their outside employment options. We discuss important implications for firm collaboration strategies. 相似文献
17.
The history of science shows a shift from single-investigator ‘little science’ to increasingly large, expensive, multinational, interdisciplinary and interdependent ‘big science’. In physics and allied fields this shift has been well documented, but the rise of collaboration in the life sciences and its effect on scientific work and knowledge has received little attention. Research in biology exhibits different historical trajectories and organisation of collaboration in field and laboratory – differences still visible in contemporary collaborations such as the Census of Marine Life and the Human Genome Project. We employ these case studies as strategic exemplars, supplemented with existing research on collaboration in biology, to expose the different motives, organisational forms and social dynamics underpinning contemporary large-scale collaborations in biology and their relations to historical patterns of collaboration in the life sciences. We find the interaction between research subject, research approach as well as research organisation influencing collaboration patterns and the work of scientists. 相似文献
18.
Felichism W. Kabo Natalie Cotton-Nessler Yongha Hwang Margaret C. Levenstein Jason Owen-Smith 《Research Policy》2014
This paper uses path overlap, an innovative measure of functional proximity, to examine how physical space shaped the formation and success of scientific collaborations among the occupants of two academic research buildings. We use research administration data on human subject protection, animal use management, and grant funding applications to construct new measures of collaboration formation and success. The “functional zones” investigators occupy in their buildings are defined by the shortest walking paths among assigned laboratory and office spaces, and the nearest elevators, stairs, and restrooms. When two investigators traverse paths with greater overlap, both their propensity to form new collaborations and to win grant funding for their joint work increase. This effect is robust across two very differently configured buildings. Implications for scientific collaboration and the design and allocation of research space are considered. 相似文献
19.
Amalya L Oliver 《Research Policy》2004,33(4):583-597
20.
The paper analyses the Italian contribution to the world scientific production, its relative citation impact, its international collaborations and scientific productivity compared with the most productive EU countries over the period 1980–2009. It shows that despite the fact that the level of funding has been dramatically low during the past decades, Italian science has been able to increase its performance up to 2007. Italian science is a “cathedral in the desert”. However, a recent reduction in the level of scientific production, the lagging behind in international scientific collaboration (highly correlated with the relative citation impact) and the great heterogeneity of researchers’ productivity (absence of correlation of number of researchers with quality and quantity of scientific production) may mark the start of a decline of Italian science. The paper concludes that the increased funding must go hand-in-hand with reform of autonomy and governance and calling for a sound system of internal quality control and performance enhancement. 相似文献