Does working with industry come at a price? A study of doctoral candidates’ performance in collaborative vs. non-collaborative Ph.D. projects

Salimi, Negin; Frenken, Koen

doi:10.1016/j.technovation.2015.03.007

Cited by 27 publications

(37 citation statements)

References 44 publications

(34 reference statements)

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“…Industry-university relationships are an important factor which have to be provided by an organization [24,60,85,86]. This will help academic staff to undertake new research topics, develop new research questions, and provide equipment and a convenient workplace.…”

Section: Hypothesis 2c (H2c)mentioning

confidence: 99%

The Influence of Personal and Organizational Factors on Researchers’ Attitudes towards Sustainable Research Productivity in Saudi Universities

et al. 2019

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Purpose: This paper studies organisational and personal factors affecting the behaviour of academic staff in Saudi universities. It seeks to investigate the beliefs of academic staff regarding the use of ICT and other factors to enhance the productivity of their scientific research. Also, this study aims to improve the sustainability of publication in Saudi universities. ICT includes using the library system for accessing research repository databases such as Science Direct, Web of Science, Scopus, etc. and other factors. The authors also developed the Importance Performance Map Analysis (IPMA) for these factors in order to provide guidelines for Saudi universities to build university systems to manage and measure the research productivity of academic staff. In summary, this research identifies factors critical to enhancing research productivity in Saudi universities. This will help to improve the sustainability of publication in Saudi universities. By enhancing the sustainability of publication, the reputation of Saudi universities will be improved and the reputation of academic staff in Saudi universities. As well the sustainability of publication will assist the promote of Saudi academic staff. Approach: This paper analysed 200 papers related to the enhancement of research productivity from various research databases such as Science Direct, IEEE and Scopus. We included the usage of ICT in research analysis, university policy, university research funding and the number of publications published by academic staff. The authors used different databases and systematic literature reviews (SLR) to find the most important factors which could improve research productivity in universities. An online questionnaire answered by 375 academic staff from four developing Saudi universities that are Taif University, Taibah University, Jeddah University, Hail University-was used to determine the relationship between information technology factors and research performance together with other factors such as university policy, international collaboration, research funding and job satisfaction. In this study, we used SmartPLS v3 to analyse the results from the questionnaires. Findings: The results show that personal factors such as personal use of ICT and organisational factors such as job satisfaction, university policy, IT funding, international collaboration and the level of ICT use in the university have positive effects on scientific research productivity among academic staff at Saudi universities. Those results are based on the beliefs of academic staff regarding the use of information Sustainability 2019, 11, 4804 2 of 28 technology for research purposes and other factors. This paper finds that university policy recorded an importance of 0.523, job satisfaction was 0.224, international collaboration was 0.103, personal use of ICT was 0.102, the level of using ICT in the university was 0.074 and the importance of ICT funding was -0.156. Also, the results from SmartPLS show that university policy has a 0.215 effect size on res...

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Section: Hypothesis 2c (H2c)mentioning

confidence: 99%

The Influence of Personal and Organizational Factors on Researchers’ Attitudes towards Sustainable Research Productivity in Saudi Universities

et al. 2019

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“…Salimi et al (2015b) identified four dimensions as performance of this type of collaboration: number of publications, number of patents, number of received citations by publications and number of received citations by patents. Thune (2009), after reviewing the literature on Ph.D. candidates, also found that scholarly productivity (i.e.…”

Section: Efficiency In Collaborative Phd Projectsmentioning

confidence: 99%

“…However, the results show that, number of publication has more importance for university supervisors compared to Ph.D. candidates, while number of received citations of both publications and patents is more important for Ph.D. candidates compared to university supervisors. Apparently, Ph.D. candidates who opt to work in collaborative Ph.D. projects want to have more freedom in their future career, in that working in collaborative Ph.D. project facilitates not only an entry into academia but also into industry (Salimi et al 2015b). It may therefore show that these Ph.D. candidates have an interest in not just research but also the development of their research.…”

Section: Data Collection To Determine the Weight Of Outputs And Inputsmentioning

confidence: 99%

“…the evaluation of collaboration success) (see Butcher and Jeffrey 2007; Salimi et al 2015b) or the investigation of factors that cause research projects to fail (see Kelly et al 2002), with far less attention being paid to the inputs, while one of the challenging issues in organizing the research and training program of Ph.D. candidates is how to increase the quality, efficiency and relevance of the doctoral education by taking both the inputs and the outputs of collaboration into account. There are different programs that financially support doctoral candidates who work on projects between university and industry, such as Industrial CASE studentships in UK and the Industrial Ph.D. programs in Norway and Denmark (European Commission 2003).…”

Section: Introductionmentioning

confidence: 99%

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Measuring efficiency of university-industry Ph.D. projects using best worst method

2016

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A collaborative Ph.D. project, carried out by a doctoral candidate, is a type of collaboration between university and industry. Due to the importance of such projects, researchers have considered different ways to evaluate the success, with a focus on the outputs of these projects. However, what has been neglected is the other side of the coin—the inputs. The main aim of this study is to incorporate both the inputs and outputs of these projects into a more meaningful measure called efficiency. A ratio of the weighted sum of outputs over the weighted sum of inputs identifies the efficiency of a Ph.D. project. The weights of the inputs and outputs can be identified using a multi-criteria decision-making (MCDM) method. Data on inputs and outputs are collected from 51 Ph.D. candidates who graduated from Eindhoven University of Technology. The weights are identified using a new MCDM method called Best Worst Method (BWM). Because there may be differences in the opinion of Ph.D. candidates and supervisors on weighing the inputs and outputs, data for BWM are collected from both groups. It is interesting to see that there are differences in the level of efficiency from the two perspectives, because of the weight differences. Moreover, a comparison between the efficiency scores of these projects and their success scores reveals differences that may have significant implications. A sensitivity analysis divulges the most contributing inputs and outputs.

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“…If on the first set of models Patents was inserted within the Intellectual Environment Block, now it assumes the role of dependent vector. We do so based on an expectation that this variable performs a positive and significant role as predictor of KIE_Projects in the first stage, and that U-I collaboration may lead to stronger patenting activity, provided that patents represent a key form of intellectual property management in knowledge transfer activities (Zucker & Darby, 2001;Salimi et al, 2015). If this is the case, even the lags introduced previously may fail to capture this indirect channel of impacts arising from stronger and deeper UIC.…”

Section: Models and Estimationsmentioning

confidence: 99%

Does University-Industry Collaboration Foster Academic Entrepreneurship? Evidence From a Developing Country

Fischer¹,

Vonortas²,

Schaeffer³

et al. 2016

Blucher Engineering Proceedings

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Policy decision makers and industry strategists have dedicated increased attention to initiatives that foster UniversityIndustry Collaboration (UIC) in an environment of open innovation. The overarching goal is to enhance the capabilities/efficiencies of innovation systems, leveraging the role of universities as generators and disseminators of valuable knowledge, an issue of particular importance to developing economies. We empirically assess the extent to which institutional openness in universities towards UIC linkages affect one mode of knowledge transfer, namely the generation of knowledge-intensive spin-offs, in the context of laggard innovation systems. We use data for 462 knowledge-intensive entrepreneurial projects related to academics receiving grants from the PIPE Program of the State of São Paulo, Brazil. Additionally, we have gathered data for UIC activity (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) of 126 universities and research institutes in the affected region. We estimate both direct effects of collaboration to entrepreneurial projects and indirect effects through university patenting behavior. Results suggest that the quality of linkages is a stronger predictor of both types of university entrepreneurship than the quantity of connections.Keywords: Knowledge-Intensive Entrepreneurship; University-Industry Collaboration; Open Innovation; Academic Spin-offs. ResumoTomadores de decisão em políticas industriais têm crescentemente dedicado atenção a iniciativas que promovem a interação universidade-empresa (IUE). O principal objetivo é alavancar as capacidades dos sistemas de inovação, a partir da concepção de que as universidades geram e disseminam conhecimento, questão essa de importância particular para as economias em desenvolvimento. Assim, neste trabalho buscou-se empiricamente avaliar em que medida a abertura institucional das universidades em relação a IUE afeta a geração de spin-offs acadêmicos intensivos em conhecimento no contexto dos sistemas de inovação imaturos. Para isso, foram utilizados dados referentes a 462 projetos de empreendedorismo intensivo em conhecimento relacionados a acadêmicos que receberam recursos do Programa PIPE do Estado de São Paulo, Brasil. Além disso, utilizaram-se dados referentes às interações entre empresas e 126 universidades e institutos de pesquisa. Foram estimados os efeitos diretos da interação nos projetos de empreendedorismo, bem como os efeitos indiretos da interação nas atividades de patenteamento das universidades. Os resultados sugerem que a qualidade das interações é um preditor de maior relevância do que a quantidade de ligações em ambos os tipos de empreendedorismo universitário (spin-offs e patentes). Palavras-chave:Empreendedorismo intensivo em conhecimento; Interação Universidade-Empresa; Inovação Aberta; Spin-offs acadêmicos.

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Does working with industry come at a price? A study of doctoral candidates’ performance in collaborative vs. non-collaborative Ph.D. projects

Cited by 27 publications

References 44 publications

The Influence of Personal and Organizational Factors on Researchers’ Attitudes towards Sustainable Research Productivity in Saudi Universities

The Influence of Personal and Organizational Factors on Researchers’ Attitudes towards Sustainable Research Productivity in Saudi Universities

Measuring efficiency of university-industry Ph.D. projects using best worst method

Does University-Industry Collaboration Foster Academic Entrepreneurship? Evidence From a Developing Country

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