Knowledge creation and diffusion of Taiwan's universities: Knowledge trajectory from patent data

Hsu, David W.L.; Bao, Yuan

doi:10.1016/j.techsoc.2013.05.002

Cited by 13 publications

(5 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This study investigates the role of personal, (Nonaka et al's, 2000;Tsai et al, 2013) that knowledge is produced through the interactions among people, between people or them and their environments .In addition, according to Kato et al (2012), Jeong and Choi (2014) and Casanova et al (2009), scholars' motivation and personal learning plays a critical role in creating knowledge and high-quality research. Although it is reasonable to emphasize the importance of personal aspects on KC, we cannot neglect the impact on KC of organizational factors, such as; organizational culture (Debowsky, 2006;Hendriks, 2004;Song et al, 2011Song et al, , 2012Song and Kolb, 2013;Mohammad Migdadi, 2009;vick, 2015;Von Krogh et al, 2000), top management, (Ab Aziz et al (2015), organizational structure (Kim and Lee, 2010;Kogut and Zander, 1992;Takeuchi, 1995, as cited by Bratianu, 2015;Hendriks and Sousa, 2013;Syysnummi and Laihonen, 2014), social capital and networks (Kim and Lee, 2010;Bozu and Muñoz, 2009;Akhavan et al, 2015;Bharati et al, 2015;Rego et al, 2009;Siadat et al, 2012;Ratten and Suseno, 2006;Chua, 2002;Hassanian et al, 2015;Sherif et al, 2012), collaboration (Lee and Schottenfeld, 2014;Cannella and McFadyen, 2013;Axelsson, 2010), research (Tsai et al, 2013;Hassanian et al, 2015;Hsu and Yuan, 2013), and information and communication technology (Teerajetgul and Charoenngam, 2...…”

Section: Discussionmentioning

confidence: 99%

“…Another important strategy for creating knowledge in higher education institutions is research (Tsai et al, 2013;Hassanian et al, 2015). Hsu and Yuan (2013) noted that university research tends to respond to the needs of industry, especially ICT and biotechnology. White et al (2012) concluded that a number of factors were required for a faculty member to become a successful research "star": holding a high-ranking academic position (associate professor or above); possessing greater time management skills; valuing research; allocating a great deal of time to research; taking on less teaching responsibility; and cooperation with groups that value research.…”

Section: Organizational Factorsmentioning

confidence: 99%

See 1 more Smart Citation

Factors that enable knowledge creation in higher education: a structural model

Thani

Mirkamali

2018

DTA

View full text Add to dashboard Cite

Purpose Knowledge is recognized as a valuable asset and universities are in search of a new strategy that allows them to build their knowledge and experience. To achieve this goal, it seems essential to find the factors associated with knowledge creation (KC) in universities. There is currently no comprehensive model that delineates the relationships between personal, institutional and support-related factors of KC. The purpose of this paper is to gain a better understanding of the factors that affect KC in higher education institutions. Design/methodology/approach This is an explanatory mixed methods approach that consists of qualitative and quantitative stages. In the qualitative phase, 14 authorities on KC were interviewed and the data yielded were subjected to content analysis. A model and hypotheses were then formulated and a questionnaire was developed to test these. The questionnaire was submitted to faculty members of Tehran University. Questionnaire data were was analyzed using structural equation and partial least squares with the aid of SmartPLS. Findings The results showed three main categories of KC factors: institutional, personal and support. A total of 19 sub-factors were identified within these main categories. According to the results, social capital (path coefficient=0.84) had the strongest correlation with the institutional; basic skills for KC (path coefficient=0.92) had the strongest correlation with the personal, and information and library resources (path coefficient=0.95) had the highest correlation with the support aspect of KC. Originality/value The study uses a multidimensional approach to test the effect of factors on KC, and can contribute to organizations (especially universities) through developing a more comprehensive model of KC. This research may lead to guidelines for universities, using Tehran University as a case study, which give more attention to the main factors of KC and improve and develop the KC process.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Organizational Factorsmentioning

confidence: 99%

Factors that enable knowledge creation in higher education: a structural model

Thani

Mirkamali

2018

DTA

View full text Add to dashboard Cite

show abstract

“…Much of the literature shows an increasing level of academic knowledge activities, such as teaching, academic publication, research joint ventures, consulting services, and patent application (D'Este & Patel, 2007;Rosell & Agrawal, 2009). A growing number of studies are now available to shed further light on knowledge diffusion in higher-education systems (Nelson, 2012;Hsu & Yuan, 2013). Following is a summary of the key factors based on literature review results for that topic.…”

Section: Key Factors To Enable Knowledge Diffusion Capabilities In Himentioning

confidence: 99%

Configuring the Knowledge Diffusion Policy Portfolio of Higher Education Institutes

Chen

Shyu

Huang

2017

EURASIA J MATH SCI T

View full text Add to dashboard Cite

The research proposes an analytic framework to configure the policy portfolio for diffusing knowledge embedded in higher-education institutes. A modified Delphi method was first proposed to derive the key factors for enabling and enhancing the diffusion mechanism. The influence relationships between these factors were derived using the Decision-Making Trial and Evaluation Laboratory (DEMATEL). The analytic network process (ANP) derived weights associated with the key factors. Finally, the Grey Relational Analysis (GRA) was used to derive the policy instruments based on the Grey Relationships between the key factors and the policy instruments. An empirical study based on Taiwanese highereducation institutes also/then verified the feasibility of the proposed analytic framework. These findings suggest that research and development activities, publications, and networks of academic exchange play primary roles in knowledge diffusion in highereducation institutions. Motivation, human resources, and investment are the most important policy instruments to use for improving knowledge diffusion in the highereducation system.

show abstract

“…David W.L. Hsu and Yuan (2013) identify knowledge creation and diffusion in Taiwan's universities utilizing forward citations, backward citations, and Science Linkage (SL).…”

Section: Configuration Of Alliance Portfoliomentioning

confidence: 99%

Configuring an alliance portfolio for eco-friendly innovation in the car industry: Hyundai and Toyota

Jeong

2016

Journal of Open Innovation: Technology, Market, and Complexity

View full text Add to dashboard Cite

Purpose: This study aims to examine the strategic alliance portfolio and the characters of focal firm partners in the eco-friendly car market, and also suggest the important managerial implications and suggestions for firms' managers and policy-makers using the patent information of Toyota and Hyundai as examples. This study identifies the fundamental differences in Hyundai's strategic partnerships through the comparison with Toyota's alliance portfolio. Key literature reviews: This study analyzes the configuration of alliance portfolio using the patent citation information and various patent citation indexes. Many previous studies use patent citation information to analyze the flow of technological knowledge and the relative importance of the technology that companies produce (Hall, Jaffe, & Trajtenberg, 2005). Patents contain a lot of information, which researchers use to derive multiple properties related to technological innovation or technological excellence (Ernst, 2003). Especially, the Current Impact Index (CII), the Technology Strength (TS), the Technology Independence (TI) and the Science Linkage mean the technological innovation of companies (Chang, Chen, & Huang, 2012;Z. Huang et al., 2003;Sung, Wang, Huang, & Chen, 2015).Design/ methodology/ approach: The paper employs patent data for collection of partnership data for both Hyundai and Toyota using joint patent filings, and the alliance portfolios are configured by using co-assignees as partners. In addition, we use patent citation indexes to analyze the relationship between firms' technological alliance and innovation capability.(Expected) findings/results: The results of this study show that; 1) Toyota is actively developing joint R&D activities but, Hyundai is not. Because of this, Toyota has the advantageous position to obtain knowledge and technology than Hyundai due to the high centrality in alliance portfolio. 2) The alliance portfolio of Toyota and Hyundai can be categorized four groups by the degree of collaboration and patent quality. 3) There are differences in the properties of four groups of Toyota's alliance portfolio and Hyundai's alliance portfolio. Research limitations/ implications: This study has several limitations. First, patent information indicates only the cross-section of the company's innovation. Second, joint patents are not the only outcome of joint R&D, and comprise only a very small part of the output from joint R&D activities. In spite of these limitations, the findings suggest how firms can catch up to access the automotive bioplastic market, and offers contributions to theories related to portfolios.

show abstract

Knowledge creation and diffusion of Taiwan's universities: Knowledge trajectory from patent data

Cited by 13 publications

References 68 publications

Factors that enable knowledge creation in higher education: a structural model

Factors that enable knowledge creation in higher education: a structural model

Configuring the Knowledge Diffusion Policy Portfolio of Higher Education Institutes

Configuring an alliance portfolio for eco-friendly innovation in the car industry: Hyundai and Toyota

Contact Info

Product

Resources

About