Evaluating R&amp;amp;D management systems: strengths and weaknesses of universities and government-funded research institutes

Yun, JinHyo Joseph; Kim, Byung Tae; Schlossstein, Dominik F.

doi:10.1504/ijtpm.2009.028917

Cited by 8 publications

(3 citation statements)

References 4 publications

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“…This article collected a total of 40 talent policies in Zhanjiang City, Guangdong Province. Combining the talent introduction measures of Zhanjiang's work units and using Xia Yun's (2020) classification model of demand-policy matching [9], the existing talent policies were reviewed, as shown in Table 1.  Doctor workstations will be established in universities, scientific research institutions and third-class hospitals, and each doctoral research workstation will subsidize 500,000 yuan.…”

Section: Existing Policy Toolsmentioning

confidence: 99%

Factors Influencing the Driving Force of Innovative Talents and the Optimization Matching of Talent Policies in Zhanjiang City

Ma,

2023

AJMSS

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This article conducts a study on the relationship between internal and external driving forces of innovative talents and their innovative behavior in Zhanjiang City, using theories such as the theory of intrinsic motivation and social cognitive theory. It establishes and verifies a mediating model of internal driving force in the relationship between external driving forces and innovative behavior. The study focuses on innovative talents in industries such as education, research institutions, and key enterprises in Zhanjiang City, and distributes questionnaires to collect data. Descriptive analysis, reliability and validity testing, regression analysis, factor analysis, and structural equation modeling are conducted using SPSS 19.0 and AMOS 26.0 to study the influencing factors of talent's internal driving force in Zhanjiang City. The study concludes that innovative behavior is influenced by both external driving forces and internal driving force, and that internal driving force partially mediates the relationship between external driving forces and innovative behavior. Based on the analysis results, improvement measures and suggestions are proposed.

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Section: Existing Policy Toolsmentioning

confidence: 99%

Factors Influencing the Driving Force of Innovative Talents and the Optimization Matching of Talent Policies in Zhanjiang City

Ma,

2023

AJMSS

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“…By analyzing visualizing patent statistics through patent applicant network analysis, network construction among joint patent-applying firms that participated in joint patent applications and the effects of the construction were studied [16]. In firms who have open search strategies-those who search widely and deeply-the benefits of openness are subject to decreasing returns, which indicate that there is a point at which additional open innovation becomes unproductive [17][18][19][20][21]. Companies are increasingly rethinking the fundamental ways in which they generate ideas and bring them to the market [22].…”

Section: Joint Patent Applicationsmentioning

confidence: 99%

Network Analysis of Open Innovation

Yun

Jeong

Park

2016

Preprint

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The way people innovate and create new ideas and bring them to the market is undergoing a fundamental change from closed innovation to open innovation. Why and how do firms perform open innovation? Firms’ open innovation is measured through the levels of firms’ joint patent applications. Next, we analyze network structures and characters of firms’ joint patent applications such as betweenness and degree centrality, structure hole, and closure. From this research, we drew conclusions as follows. First, the structure of collaboration networks has both direct and indirect effects on firms’ innovative performance. Second, in the process of joint patent applications, there is a long tail phenomenon in networks of joint patent applications. Third, the number of patents and International Patent Classification (IPC) subclasses together constitute a meaningful measure of the innovation performance of firms.

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“…By analyzing visualizing patent statistics through patent applicant network analysis, network construction among joint patent-applying firms that participated in joint patent applications and the effects of the construction were studied [15]. In firms who have open search strategies-those who search widely and deeply-the benefits of openness are subject to decreasing returns, which indicate that there is a point at which additional open innovation becomes unproductive [16][17][18][19][20]. Companies are increasingly rethinking the fundamental ways in which they generate ideas and bring them to the market [21].…”

Section: Joint Patent Applicationsmentioning

confidence: 99%

Network Analysis of Open Innovation

Yun¹,

Jeong²,

Park³

2016

Preprint

View full text Add to dashboard Cite

The way people innovate and create new ideas and bring them to the market is undergoing a fundamental change from closed innovation to open innovation. Why and how do firms perform open innovation? Firms’ open innovation is measured through the levels of firms’ joint patent applications. Next, we analyze network structures and characters of firms’ joint patent applications such as betweenness and degree centrality, structure hole, and closure. From this research, we drew four conclusions. First, the structure of collaboration networks has both direct and indirect effects on firms’ innovative performance. Second, in the process of joint patent applications, there is a long tail phenomenon in networks of joint patent applications. Third, the number of patents and IPC subclasses together constitute a meaningful measure of the innovation performance of firms.

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Evaluating R&D management systems: strengths and weaknesses of universities and government-funded research institutes

Cited by 8 publications

References 4 publications

Factors Influencing the Driving Force of Innovative Talents and the Optimization Matching of Talent Policies in Zhanjiang City

Factors Influencing the Driving Force of Innovative Talents and the Optimization Matching of Talent Policies in Zhanjiang City

Network Analysis of Open Innovation

Network Analysis of Open Innovation

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