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The Heterogeneity of the Academic Profession: The Effect of Occupational Variables on University Scientists' Participation in Research Commercialization

机译:学术职业的异质性:职业变量对大学科学家参与研究商业化的影响

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摘要

Do academics who commercialize their inventions have a different professional character than those who do not? The author conducted a nationwide survey in Hungary including 1,562 academics of hard sciences from 14 universities. According to the cluster analysis based on their participation in research commercialization (RC), university scholars can be divided into three distinct groups: 'traditional faculty' (56%), 'market-oriented faculty' (22%), and 'academic entrepreneurs' (22%). Traditional faculty members typically do not participate in RC, while, within the framework of the university, market-oriented academics are engaged in RC the most frequently. Academic entrepreneurs, in addition to their university positions, work for spin-off firms that commercialize research findings. Multinomial logistic regressions revealed that university scientists in various engineering fields, and especially in chemical technology, as well as in biotechnology and pharmaceutics have a considerably greater potential to engage in RC, similar to scholars with industry work experience, high number of publications, and professorial rank. Discipline, work experience, scientific performance, and academic rank seem to outweigh the effect of the university and its location on RC behavior. These findings underscore the inherent diversity of the academic profession and question the necessity of implementing uniform RC policies such as the Bayh-Dole model across universities, disciplines, and segments of university scientists.
机译:将发明商业化的学者是否具有与没有发明的学者不同的职业特征?作者在匈牙利进行了一项全国性调查,其中包括来自14所大学的1,562名硬科学学者。根据参与研究商业化(RC)的聚类分析,大学学者可分为三类:“传统教师”(56%),“市场导向教师”(22%)和“学术企业家” '(22%)。传统的教职员工通常不参加RC,而在大学框架内,以市场为导向的学者最常参与RC。除大学职位外,学术企业家还为将研究成果商业化的衍生公司工作。多项逻辑回归表明,与具有行业工作经验,大量出版物和教授的学者相似,各个工程领域,尤其是化学技术以及生物技术和药学领域的大学科学家具有更大的参与RC的潜力。秩。学科,工作经验,科学表现和学术水平似乎超过了大学及其所在地对RC行为的影响。这些发现突显了学术界固有的多样性,并质疑在大学,学科和大学科学家领域实施统一的RC策略(如Bayh-Dole模型)的必要性。

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