Effects of university characteristics on scientists’ interactions with the private sector: an exploratory assessment

Ponomariov, Branco

doi:10.1007/s10961-007-9047-x

Cited by 104 publications

(69 citation statements)

References 27 publications

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“…Engagement practice takes place at different levels and is often organised between universities and different kinds of actors, including business, governments, the voluntary sector and civil society (D'Este and Patel 2007; Hughes and Kitson 2012;Landry et al 2010). Importantly, these exchanges are influenced by the institutional and organisational characteristics of participating universities (Polt et al 2001;Ponomariov 2008). Spaapen and van Drooge (2011) have argued for a need to consider the 'productive interactions' that mediate such a relationship.…”

Section: The Creation Of Value and Societal Benefits By Public Institmentioning

confidence: 99%

Introducing the dilemma of societal alignment for inclusive and responsible research and innovation

Ribeiro

Bengtsson

Benneworth

et al. 2018

Journal of Responsible Innovation

101

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In this discussion paper, we outline and reflect on some of the key challenges that influence the development and uptake of more inclusive and responsible forms of research and innovation. Taking these challenges together, we invoke Collingridge's famous dilemma of social control of technology to introduce a complementary dilemma that of 'societal alignment' in the governance of science, technology and innovation. Considerations of social alignment are scattered and overlooked among some communities in the field of science, technology and innovation policy. By starting to unpack this dilemma, we outline an agenda for further consideration of social alignment in the study of responsible research and innovation.ARTICLE HISTORY

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Section: The Creation Of Value and Societal Benefits By Public Institmentioning

confidence: 99%

Introducing the dilemma of societal alignment for inclusive and responsible research and innovation

Ribeiro

Bengtsson

Benneworth

et al. 2018

Journal of Responsible Innovation

101

View full text Add to dashboard Cite

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“…This has increased research interest in the individual and collective determinants of scientific productivity and research practices Matt, 2004, 2006;Rey-Rocha et al, 2002). The KT literature includes work that uses organizational and individual characteristics to explain researchers' interactions with industry (Boardman and Corley, 2008;Landry et al, 2010;Ponomariov, 2008), but few that study interactions at research group level. The roles played by particular actors in an organization can exert a critical influence on the organizational behaviour of the scientific collective; for instance, Bercovitz and Feldman (2008) show the influence of the department director on the behaviour of department members.…”

Section: Determinants Of Research Groups' Knowledge Transfer Activitiesmentioning

confidence: 99%

Knowledge transfer activities in social sciences and humanities: Explaining the interactions of research groups with non-academic agents

2014

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The aim of this research is to achieve a better understanding of the processes underlying knowledge transfer (KT) in Social Sciences and Humanities (SSH). The paper addresses: first, the extent of SSH research groups' engagement in KT and the formal KT activities used to interact with non-academic communities; and second, how the characteristics of research groups may influence engagement in various types of KT. The empirical analysis is at research group level using data derived from a questionnaire of SSH research groups conducted by the Spanish Council for Scientific Research (CSIC). We find that KT activities are based on relational rather than commercial activities. The most frequent relational activities in which SSH research groups engage are consultancy and contract research, with personnel mobility a marginal activity. We find also that the characteristics of research groups (e.g. size and multidisciplinarity) and individuals (e.g. status and research impact) are associated with involvement in KT activities and that a deliberate focus on the societal impacts and relevance of the research conducted is strongly related to active engagement of research groups in all the modes of KT considered in this study. From a managerial perspective, our findings suggest that measures promoting a focus on the societal impact of research could enhance research groups' engagement in KT activities.

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“…First, this study has contributed to the work on non-commercial and informal university-industry interactions in Chinese universities, where these kinds of activities take up quite a large part of university knowledge diffusion but are ignored. The Chinese government has been interested in promoting university academics to collaborate with industry sectors, which can stimulate national and local economic development by university knowledge and technology [25]. This study provides insight to understand the changing psychological processes of Chinese scientists in industry engagement, and contributes to promoting the national strategy.…”

Section: Discussionmentioning

confidence: 97%

“…However, extant research on academic engagement is based on samples in Western countries and can rarely be found within a Chinese context, where socioeconomic and cultural backgrounds are particularly different from Western countries. Typically, in the context of economic globalization, Chinese universities are not considered crucial sources of emerging technology or commercialization [25]. Moreover, the traditional social hierarchy formed by Confucian attitudes and norms means that some scientists' individual factors, such as gender and academic rank, play a significant role when seeking a partner in industry.…”

Section: Introductionmentioning

confidence: 99%

Individual Differences, Self-Efficacy, and Chinese Scientists’ Industry Engagement

Zhao

Cai

2017

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Abstract:Research indicates that non-commercial and informal university-industry interactions, which are defined as academic engagement, account for a larger part and play a more important role than commercialization in academic knowledge transfer in China. This paper aims to explore the effect of Chinese scientists' individual differences on academic engagement via social cognitive theory. This study attempts to provide an interpretation of how individual differences affect Chinese academics' industrial engagement through self-efficacy. Based on data collection from Chinese universities, these analysis results show that gender, academic rank, industry connections, and previous industrial experience are significantly associated with Chinese scientists' industry engagement. Furthermore, a scientist's self-efficacy in industry collaborations is also influenced by these four individual factors. The mediating effects of self-efficacy on the relationship between individual differences and academic engagement are confirmed by empirical analysis results. Implications, limitations, and future research directions are discussed at the end of this paper.

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Effects of university characteristics on scientists’ interactions with the private sector: an exploratory assessment

Abstract: University-industry relations, Technology transfer, Hierarchical linear modeling, Organizational context, O31, O32,

Cited by 104 publications

References 27 publications

Introducing the dilemma of societal alignment for inclusive and responsible research and innovation

Introducing the dilemma of societal alignment for inclusive and responsible research and innovation

Knowledge transfer activities in social sciences and humanities: Explaining the interactions of research groups with non-academic agents

Individual Differences, Self-Efficacy, and Chinese Scientists’ Industry Engagement

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