Archives
Current issue
About
About us
Aims and Scope
Abstracting and Indexing
Editorial Office
Open Access Policy
Publication Ethics
Journal History
Publisher
Follow us: Twitter
Contact
For Authors
Editorial Policy
Peer Review Policy
Manuscript Preparation Guidelines
Copyright & Licencing
Publication Fees
Fee Waiver Policy for Doctoral Students
EJMSTE Language Editing Service
More
Statistics
Special Issues
Special Issue Announcements
Published Special Issues
Configuring the Knowledge Diffusion Policy Portfolio of Higher Education Institutes
1
National Chiao Tung University, TAIWAN
2
National Taiwan Normal University, TAIWAN
Online publication date: 2017-08-22
Publication date: 2017-08-22
Corresponding author
EURASIA J. Math., Sci Tech. Ed 2017;13(8):5685-5734
KEYWORDS
knowledge diffusionhigher-education policypolicy instrumentuniversity-industry (UI) collaborationcatch-up economy
TOPICS
ABSTRACT
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 higher-education 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 higher-education institutions. Motivation, human resources, and investment are the most important policy instruments to use for improving knowledge diffusion in the higher-education system.
REFERENCES (154)
1.
Abioye, I. A., Ibrahim, N. A., Odesanya, M. O., & Wright, K. O. (2012). The future of trauma care in a developing country: Interest of medical students and interns in surgery and surgical specialties. International Journal of Surgery, 10(4), 209-212. doi: http://dx.doi.org/10.1016/j.ij....
2.
Acworth, E. B. (2008). University–industry engagement: The formation of the Knowledge Integration Community (KIC) model at the Cambridge-MIT Institute. Research Policy, 37(8), 1241-1254. doi:10.1016/j.respol.2008.04.022.
3.
Albulescu, I., & Albulescu, M. (2014). The University in the Community. The University’s Contribution to Local and Regional Development by Providing Educational Services for Adults. Procedia - Social and Behavioral Sciences, 142(0), 5-11. doi:10.1016/j.sbspro.2014.07.578.
4.
Alexander, A. T., & Martin, D. P. (2013). Intermediaries for open innovation: A competence-based comparison of knowledge transfer offices practices. Technological Forecasting and Social Change, 80(1), 38-49. doi:10.1016/j.techfore.2012.07.013.
5.
Appleyard, M. M., & Kalsow, G. A. (1999). Knowledge diffusion in the semiconductor industry. Journal of Knowledge Management, 3(4), 288-295. doi:10.1108/13673279910304032.
6.
Arocena, R., Göransson, B., & Sutz, J. (2015). Knowledge policies and universities in developing countries: Inclusive development and the “developmental university”. Technology in Society, 41(0), 10-20. doi:10.1016/j.techsoc.2014.10.004.
7.
Auranen, O., & Nieminen, M. (2010). University research funding and publication performance-An international comparison. Research Policy, 39(6), 822-834. doi:10.1016/j.respol.2010.03.003.
8.
Bacchiocchi, E., & Montobbio, F. (2009). Knowledge diffusion from university and public research. A comparison between US, Japan and Europe using patent citations. The Journal of Technology Transfer, 34(2), 169-181.
9.
Bar-Ilan, J. (2008). Informetrics at the beginning of the 21st century—A review. Journal of Informetrics, 2(1), 1-52. doi:10.1016/j.joi.2007.11.001.
10.
Bathelt, H., Kogler, D. F., & Munro, A. K. (2010). A knowledge-based typology of university spin-offs in the context of regional economic development. Technovation, 30(9), 519-532.
11.
Beach, G. J. (2013). The US Technology Skills Gap: What Every Technology Executive Must Know to Save America’s Future: John Wiley & Sons.
12.
Belkhodja, O., & Landry, R. (2007). “The Triple-Helix collaboration: Why do researchers collaborate with industry and the government? What are the factors that influence the perceived barriers?” Scientometrics, 7(2), 301-332.
13.
Berbegal-Mirabent, J., Ribeiro-Soriano, D. E., & Sánchez García, J. L. (2015). Can a magic recipe foster university spin-off creation? Journal of Business Research(0). doi:10.1016/j.jbusres.2015.06.010.
14.
Bhagwatwar, A., Hara, N., & Ynalvez, M. A. (2013). Out of Asia: Understanding the nexus between technology usage and research productivity in Japan, Singapore, and Taiwan. International Journal of Information Management, 33(6), 963-970. doi:10.1016/j.ijinfomgt.2013.08.004.
15.
Block, J., Thurik, R., & Zhou, H. (2013). What turns knowledge into innovative products? The role of entrepreneurship and knowledge spillovers. Journal of Evolutionary Economics, 23(4), 693-718. doi: 10.1007/s00191-012-0265-5.
16.
Borrás, S., & Edquist, C. (2013). The choice of innovation policy instruments. Technological Forecasting and Social Change, 80(8), 1513-1522. doi:10.1016/j.techfore.2013.03.002.
17.
Buckley, S. (2012). Knowledge Management Innovations for Interdisciplinary Education: Organizational Applications: Organizational Applications: Information Science Reference.
18.
Burd, E., Smith, S., & Reisman, S. (2014). Exploring Business Models for MOOCs in Higher Education. Innovative Higher Education, 1-13. doi:10.1007/s10755-014-9297-0.
19.
Carree, M., Della Malva, A., & Santarelli, E. (2014). The contribution of universities to growth: Empirical evidence for Italy. The Journal of Technology Transfer, 39(3), 393-414.
20.
Cassi, L., Corrocher, N., Malerba, F., & Vonortas, N. (2008). Research networks as infrastructure for knowledge diffusion in European regions. Econ. Innov. New Techn., 17(7-8), 663-676.
21.
Centra, J. A. (1983). Research productivity and teaching effectiveness. Research in Higher education, 18(4), 379-389.
22.
Chang, Y.-C., Chen, M.-H., Hua, M., & Yang, P. Y. (2005). Industrializing academic knowledge in Taiwan. Research-Technology Management, 48(4), 45-50.
23.
Checkoway, B. (2001). Renewing the civic mission of the American research university. Journal of Higher Education, 125-147.
24.
Chen, C., & Hicks, D. (2004). Tracing knowledge diffusion. Scientometrics, 59(2), 199-211. doi:10.1023/B:SCIE.0000018528.59913.48.
25.
Chen, T.-L., & Shen, C.-C. (2012). Today’s intern, tomorrow’s practitioner?—The influence of internship programmes on students’ career development in the Hospitality Industry. Journal of Hospitality, Leisure, Sport & Tourism Education, 11(1), 29-40. doi:10.1016/j.jhlste.2012.02.008.
26.
Chou, C. P., & Ching, G. (2012). Taiwan Education at the Crossroad: When Globalization Meets Localization: Palgrave Macmillan.
27.
Chyi, Y.-L., Lai, Y.-M., & Liu, W.-H. (2012). Knowledge spillovers and firm performance in the high-technology industrial cluster. Research Policy, 41(3), 556-564. doi:10.1016/j.respol.2011.12.010.
28.
Clark, B. (2001). The entrepreneurial university: New foundations for collegiality, autonomy, and achievement. Higher Education Management, 13(2).
29.
Clark, B. R. (1998). Creating Entrepreneurial Universities: Organizational Pathways of Transformation. Issues in Higher Education: ERIC.
30.
Colyvas, J., Crow, M., Gelijns, A., Mazzoleni, R., Nelson, R. R., Rosenberg, N., & Sampat, B. N. (2002). How do university inventions get into practice? Management Science, 48(1), 61-72.
31.
Cowan, R., & Jonard, N. (2004). Network structure and the diffusion of knowledge. Journal of Economic Dynamics and Control, 28(8), 1557-1575. doi:10.1016/j.jedc.2003.04.002.
32.
Cowan, R., & Zinovyeva, N. (2013). University effects on regional innovation. Research Policy, 42(3), 788-800. doi:10.1016/j.respol.2012.10.001.
33.
Craig, E., Thomas, R. J., Hou, C., & Mathur, S. (2012). Where will all the STEM talent come from? Accenture Institute for High Performance, May.
34.
Crespi, G., D’Este, P., Fontana, R., & Geuna, A. (2011). The impact of academic patenting on university research and its transfer. Research Policy, 40(1), 55-68. doi:10.1016/j.respol.2010.09.010.
35.
D’Este, P., Rentocchini, F., Grimaldi, R., & Manjarrés-Henríquez, L. (2013). The relationship between research funding and academic consulting: An empirical investigation in the Spanish context. Technological Forecasting and Social Change, 80(8), 1535-1545. doi:10.1016/j.techfore.2013.04.018.
36.
D’Este, P., & Patel, P. (2007). University–industry linkages in the UK: What are the factors underlying the variety of interactions with industry? Research Policy, 36(9), 1295-1313. doi:10.1016/j.respol.2007.05.002.
37.
De Geest, S., Dobbels, F., Schönfeld, S., Duerinckx, N., Sveinbjarnardottir, E. K., & Denhaerynck, K. (2013). Academic Service Partnerships: What do we learn from around the globe? A systematic literature review. Nursing Outlook, 61(6), 447-457. doi:10.1016/j.outlook.2013.02.001.
38.
Department of Higher Education. (2012). Higher Education in Taiwan 2012-2013. Taipei, Taiwan: Department of Higher Education, Minister of Education, Taiwan.
39.
Drucker, P. F. (1999). Knowledge-worker productivity: The biggest challenge. California Management Review, 4(2), 79-94.
40.
Ecker, P. S., & Staples, K. (1997). Collaborative conflict and the future: academic-in d ustrial alliances and adaptations. Computers and technical communication: pedagogical and programmatic perspectives, 3, 375.
41.
Edler, J., & Georghiou, L. (2007). Public procurement and innovation—Resurrecting the demand side. Research Policy, 36(7), 949-963.
43.
Etzkowitz, H. (2003b). Research groups as ‘quasi-firms’: the invention of the entrepreneurial university. Research Policy, 32(1), 109-121. doi:10.1016/S0048-7333(02)00009-4.
44.
Etzkowitz, H., Webster, A., Gebhardt, C., & Terra, B. R. C. (2000). The future of the university and the university of the future: evolution of ivory tower to entrepreneurial paradigm. Research Policy, 29(2), 313-330. doi:10.1016/S0048-7333(99)00069-4.
45.
Etzkowitz, H., & Zhou, C. (2008). Introduction to special issue Building the entrepreneurial university: a global perspective. Science and Public Policy, 35(9), 627-635.
46.
Fairweather, J. (2008). Linking evidence and promising practices in science, technology, engineering, and mathematics (STEM) undergraduate education. Board of Science Education, National Research Council, The National Academies, Washington, DC.
47.
Filieri, R., McNally, R. C., O’Dwyer, M., & O’Malley, L. (2014). Structural social capital evolution and knowledge transfer: Evidence from an Irish pharmaceutical network. Industrial Marketing Management, 43(3), 429-440.
48.
Flanagan, K., Uyarra, E., & Laranja, M. (2011). Reconceptualising the ‘policy mix’ for innovation. Research Policy, 40(5), 702-713. doi:10.1016/j.respol.2011.02.005.
49.
Foray, D., & Lissoni, F. (2010). Chapter 6 - University Research and Public–Private Interaction. In H. H. Bronwyn & R. Nathan (Eds.), Handbook of the Economics of Innovation (Vol. Volume 1, pp. 275-314): North-Holland.
50.
Garand, L., Matthews, J. T., Courtney, K. L., Davies, M., Lingler, J. H., Schlenk, E. A., . . . Burke, L. E. (2010). Development and Use of a Tool to Guide Junior Faculty in Their Progression Toward Promotion and Tenure. Journal of Professional Nursing, 26(4), 207-213. doi:10.1016/j.profnurs.2010.01.002.
51.
Geuna, A., & Rossi, F. (2011). Changes to university IPR regulations in Europe and the impact on academic patenting. Research Policy, 40(8), 1068-1076. doi:10.1016/j.respol.2011.05.008.
52.
Giuliani, E., & Arza, V. (2009). What drives the formation of ‘valuable’ university–industry linkages? Insights from the wine industry. Research Policy, 38(6), 906-921. doi:10.1016/j.respol.2009.02.006.
53.
Guan, J., & Zhao, Q. (2013). The impact of university–industry collaboration networks on innovation in nanobiopharmaceuticals. Technological Forecasting and Social Change, 80(7), 1271-1286. doi: 10.1016/j.techfore.2012.11.013.
54.
Guerrero, M., Cunningham, J. A., & Urbano, D. (2015). Economic impact of entrepreneurial universities’ activities: An exploratory study of the United Kingdom. Research Policy, 44(3), 748-764. doi:10.1016/j.respol.2014.10.008.
55.
Guerrero, M., & Urbano, D. (2012). The development of an entrepreneurial university. The Journal of Technology Transfer, 37(1), 43-74.
56.
Gupta, S., & Maltz, E. (2015). Interdependency, dynamism, and variety (IDV) network modeling to explain knowledge diffusion at the fuzzy front-end of innovation. Journal of Business Research, 68(11), 2434-2442. doi:10.1016/j.jbusres.2015.02.018.
57.
Hazen, B. T., Wu, Y., & Sankar, C. S. (2012). Factors that influence dissemination in engineering education. Education, IEEE Transactions on, 55(3), 384-393.
58.
Heitor, M., & Bravo, M. (2010). Portugal at the crossroads of change, facing the shock of the new: People, knowledge and ideas fostering the social fabric to facilitate the concentration of knowledge integrated communities. Technological Forecasting and Social Change, 77(2), 218-247. doi:10.1016/j.techfore.2009.10.006.
59.
Heitor, M., Horta, H., & Mendonça, J. (2014). Developing human capital and research capacity: Science policies promoting brain gain. Technological Forecasting and Social Change, 82(0), 6-22. doi:10.1016/j.techfore.2013.07.008.
60.
Heitor, M. (2014). How far university global partnerships may facilitate a new era of international affairs and foster political and economic relations. Technological Forecasting and Social Change, acceptted to publication.
61.
Henderson, C., Beach, A., & Finkelstein, N. (2011). Facilitating change in undergraduate STEM instructional practices: An analytic review of the literature. Journal of Research in Science Teaching, 48(8), 952-984.
62.
Henderson, C., & Dancy, M. H. (2011). Increasing the impact and diffusion of STEM education innovations. Paper presented at the Invited paper for the National Academy of Engineering, Center for the Advancement of Engineering Education Forum, Impact and Diffusion of Transformative Engineering Education Innovations, available at: http://www.nae.edu/File.aspx.
63.
Ho, M. H.-C., Lin, V. H., & Liu, J. S. (2014). Exploring knowledge diffusion among nations: a study of core technologies in fuel cells. Scientometrics, 100(1), 149-171.
64.
Hsu, D. W. L., & Yuan, B. J. C. (2013). Knowledge creation and diffusion of Taiwan’s universities: Knowledge trajectory from patent data. Technology in Society, 35(3), 172-181. doi:10.1016/j.techsoc.2013.05.002.
65.
Huang, C.-Y., Shyu, J. Z., & Tzeng, G.-H. (2007). Reconfiguring the innovation policy portfolios for Taiwan’s SIP Mall industry. Technovation, 27(12), 744-765.
66.
Huang, J.-J., Tzeng, G.-H., & Ong, C.-S. (2005). Multidimensional data in multidimensional scaling using the analytic network process. Pattern Recognition Letters, 26(6), 755-767.
67.
Huang, N. T., Wei, C. C., & Chang, W. K. (2007). Knowledge management: modeling the knowledge diffusion in community of practice. Kybernetes, 36(5/6), 607-621. doi:10.1108/03684920710749703.
68.
Hussler, C., & Rondé, P. (2007). The impact of cognitive communities on the diffusion of academic knowledge: Evidence from the networks of inventors of a French university. Research Policy, 36(2), 288-302. doi:10.1016/j.respol.2006.11.006.
69.
Inzelt, A. (2004). The evolution of university-industry-government relationships during transition. Research Policy, 33(6-7), 975-995.
70.
Jarohnovich, N., & Avotiņš, C. (2013). The Changing Role of the Entrepreneurial University in Developing Countries: The Case of Latvia. Journal of Higher Education Theory and Practice, 13(2), 121-148.
71.
Jensen, R., Thursby, J., & Thursby, M. C. (2010). University-industry spillovers, government funding, and industrial consulting: National Bureau of Economic Research.
72.
Just, R. E., & Huffman, W. E. (2009). The economics of universities in a new age of funding options. Research Policy, 38(7), 1102-1116.
73.
Khalil, O. E. M. (2015). Students’ experiences with the business internship program at Kuwait University. The International Journal of Management Education, 13(3), 202-217. doi:10.1016/j.ijme.2015.05.003.
74.
Kim, H., & Park, Y. (2009). Structural effects of R&D collaboration network on knowledge diffusion performance. Expert Systems with Applications, 36(5), 8986-8992. doi:10.1016/j.eswa.2008.11.039.
76.
Kwon, K.-S. (2011). The co-evolution of universities’ academic research and knowledge-transfer activities: the case of South Korea. Science and Public Policy, 38(6), 493-503.
77.
Lööf, H., & Broström, A. (2008). Does knowledge diffusion between university and industry increase innovativeness? The Journal of Technology Transfer, 33(1), 73-90.
78.
Law, W.-W. (1996). The Taiwanisation, democratisation and internationalisation of higher education in Taiwan.
79.
Leisyte, L., & Horta, H. (2011). Introduction to a special issue: Academic knowledge production, diffusion and commercialization: policies, practices and perspectives. Science and Public Policy, 38(6), 422-424.
80.
Lewis, H. R. (2006). Excellence Without a Soul: How a Great University Forgot Education. New York: PublicAffairs.
81.
Leydesdorff, L. (2000). The triple helix: an evolutionary model of innovations. Research Policy, 29(2), 243-255.
82.
Li, G. (2011). Output Efficiency Evaluation of University Human Resource Based on DEA. Procedia Engineering, 15(0), 4707-4711. doi:10.1016/j.proeng.2011.08.881.
83.
Lin, T.-C., Chang, K.-C., & Chung, K.-M. (2012). University-Industry-Government Partnership in Taiwan: A Case Study of National Cheng Kung University.
84.
Liu, S., Fang, Z., Shi, H., & Guo, B. (2009). Theory of Science and Technology Transfer and Applications: CRC Press.
85.
Liu, Y., & Rousseau, R. (2010). Knowledge diffusion through publications and citations: A case study using ESI-fields as unit of diffusion. Journal of the American Society for Information Science and Technology, 61(2), 340-351. doi:10.1002/asi.21248.
86.
Lu, W.-M. (2012). Intellectual capital and university performance in Taiwan. Economic Modelling, 29(4), 1081-1089. doi:10.1016/j.econmod.2012.03.021.
87.
Luo, S., Du, Y., Liu, P., Xuan, Z., & Wang, Y. (2015). A study on coevolutionary dynamics of knowledge diffusion and social network structure. Expert Systems with Applications, 42(7), 3619-3633. doi:10.1016/j.eswa.2014.12.038.
88.
Mälkki, H., & Paatero, J. V. (2015). Curriculum planning in energy engineering education. Journal of Cleaner Production, 106, 292-299. doi:10.1016/j.jclepro.2014.08.109.
89.
Marrocu, E., Paci, R., & Usai, S. (2013). Proximity, networking and knowledge production in Europe: What lessons for innovation policy? Technological Forecasting and Social Change, 80(8), 1484-1498. doi:10.1016/j.techfore.2013.03.004.
90.
Matherly, M., & Shortridge, R. T. (2009). A pragmatic model to estimate journal quality in accounting. Journal of Accounting Education, 27(1), 14-29. doi:10.1016/j.jaccedu.2009.07.001.
91.
Mathews, J. A., Hu, M.-C., & Wu, C.-Y. (2011). Fast-follower industrial dynamics: the case of Taiwan’s emergent solar photovoltaic industry. Industry and Innovation, 18(02), 177-202.
92.
Mehrer, H., & Stolwijk, N. A. (2009). Heroes and Highlights in the History of Diffusion. Diffusion Fundamentals, 11(1), 1-32.
93.
Ministry of Education. (2014). Statistics of Higher Education Institutes. http://ulist.moe.gov.tw/Home/U....
94.
Mohrman, K., Ma, W., & Baker, D. (2008). The research university in transition: The emerging global model. Higher Education Policy, 21(1), 5-27.
95.
Mollahoseini, A., & Farjad, S. (2012). Assessment Effectiveness on the Job Training in Higher Education (Case Study: Takestan University). Procedia - Social and Behavioral Sciences, 47(0), 1310-1314. doi:10.1016/j.sbspro.2012.06.817.
96.
Morone, P., & Taylor, R. (2004). Knowledge diffusion dynamics and network properties of face-to-face interactions. Journal of Evolutionary Economics, 14(3), 327-351. doi:10.1007/s00191-004-0211-2.
98.
Muchtar, A., Amri, C. N. A. C., Mustafa, M. M., & Bakar, K. A. (2012). The Impact of Internationalisation towards Student Learning with Regards to Undergraduate Engineering Students. Procedia - Social and Behavioral Sciences, 60, 413-419. doi:10.1016/j.sbspro.2012.09.399.
99.
Murray, T. A., & James, D. C. (2012). Evaluation of an academic service partnership using a strategic alliance framework. Nursing Outlook, 60(4), e17-e22. doi:10.1016/j.outlook.2011.10.004.
101.
Narayanan, V. K., & O’Connor, G. C. (2010). Encyclopedia of Technology and Innovation Management. John Wiley & Sons.
102.
Nawaz, M. N., & Gomes, A. M. (2014). Review of Knowledge Management in Higher Education Institutions. European Journal of Business and Management, 6(7), 71-79.
103.
Nelson, A. J. (2012). Putting university research in context: Assessing alternative measures of production and diffusion at Stanford. Research Policy, 41(4), 678-691. doi:10.1016/j.respol.2011.11.004.
104.
Nevgi, A., & Löfström, E. (2015). The development of academics’ teacher identity: Enhancing reflection and task perception through a university teacher development programme. Studies in Educational Evaluation, 46(0), 53-60. doi:10.1016/j.stueduc.2015.01.003.
105.
Nonaka, I. (1988). Creating organizational order out of chaos: self-renewal in Japanese firms. California Management Review, 30(3), 57-73.
106.
Nonaka, I. (1991). The knowledge-creating company. Harvard business review, 69(6), 96-104.
107.
Nonaka, I., & Takeuchi, H. (1995). The Knowledge Creating Company: How Japanese Companies Create the Dynamics of Innovation. University Press, Oxford.
108.
OECD. (2005). Governance of Innovation Systems: Volume 2 Case Studies in Innovation Policy: Case Studies in Innovation Policy: OECD Publishing.
109.
OECD. (2014). Main Science and Technology Indicators. Retrieved from http://stats.oecd.org/Index.as...#.
110.
Park, J. J. J. H., Chen, S. C., Gil, J. M., & Yen, N. Y. (2014). Multimedia and Ubiquitous Engineering. Springer Berlin Heidelberg.
111.
Perkmann, M., Tartari, V., McKelvey, M., Autio, E., Broström, A., D’Este, P., . . . Sobrero, M. (2013). Academic engagement and commercialisation: A review of the literature on university–industry relations. Research Policy, 42(2), 423-442. doi:10.1016/j.respol.2012.09.007.
112.
Perkmann, M., & Walsh, K. (2008). Engaging the scholar: Three types of academic consulting and their impact on universities and industry. Research Policy, 37(10), 1884-1891. doi:10.1016/j.respol.2008.07.009.
113.
Pernar, L. I. M., Corso, K., Lipsitz, S. R., & Breen, E. (2013). Using spaced education to teach interns about teaching skills. The American Journal of Surgery, 206(1), 120-127. doi:10.1016/j.amjsurg.2012.05.034.
114.
Ruiz, P. A. P., Kamsu-Foguem, B., & Noyes, D. (2013). Knowledge reuse integrating the collaboration from experts in industrial maintenance management. Knowledge-Based Systems, 50, 171-186. doi:10.1016/j.knosys.2013.06.005.
115.
Pundak, D., & Rozner, S. (2008). Empowering engineering college staff to adopt active learning methods. Journal of Science Education and Technology, 17(2), 152-163.
116.
Ranga, L. M., Debackere, K., & Tunzelmann, N. v. (2003). Entrepreneurial universities and the dynamics of academic knowledge production: A case study of basic vs. applied research in Belgium. Scientometrics, 58(2), 301-320.
117.
Rappert, B., Webster, A., & Charles, D. (1999). Making sense of diversity and reluctance: academic–industrial relations and intellectual property. Research Policy, 28(8), 873-890. doi:10.1016/S0048-7333(99)00028-1.
118.
Rentocchini, F., D'Este, P., Manjarrés-Henríquez, L., & Grimaldi, R. (2014). The relationship between academic consulting and research performance: Evidence from five Spanish universities. International Journal of Industrial Organization, 32(0), 70-83. doi:10.1016/j.ijindorg.2013.11.001.
119.
Resende, D. N., Gibson, D., & Jarrett, J. (2013). BTP—Best Transfer Practices. A tool for qualitative analysis of tech-transfer offices: A cross cultural analysis. Technovation, 33(1), 2-12. doi:10.1016/j.technovation.2012.09.001.
120.
Roberts, A., Chou, P., & Ching, G. (2010). Contemporary trends in East Asian higher education: Dispositions of international students in a Taiwan university. Higher Education, 59(2), 149-166.
121.
Robin, S., & Schubert, T. (2013). Cooperation with public research institutions and success in innovation: Evidence from France and Germany. Research Policy, 42(1), 149-166. doi:10.1016/j.respol.2012.06.002.
123.
Rosell, C., & Agrawal, A. (2009). Have university knowledge flows narrowed?: Evidence from patent data. Research Policy, 38(1), 1-13. doi:10.1016/j.respol.2008.07.014.
124.
Rothwell, R., & Zegveld, W. (1981). Industrial Innovation and Public Policy: Preparing for the 1980s and the 1990s: Frances Pinter London.
125.
Roundtable, C. S., Commission on Physical Sciences, M. A., Council, N. R., & Sciences, D. E. P. (2000). Research Teams and Partnerships: Trends in the Chemical Sciences, Report of a Workshop: National Academies Press.
126.
Sánchez-Barrioluengo, M. (2014). Articulating the ‘three-missions’ in Spanish universities. Research Policy, 43(10), 1760-1773. doi:10.1016/j.respol.2014.06.001.
127.
Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. Pittsburgh, PA: RWS Publication.
128.
Saaty, T. L. (2004). Fundamentals of the analytic network process—Dependence and feedback in decision-making with a single network. Journal of Systems science and Systems engineering, 13(2), 129-157.
129.
Sampson, T. (2013). Brain drain or brain gain? Technology diffusion and learning on-the-job. Journal of International Economics, 90(1), 162-176. doi:10.1016/j.jinteco.2012.10.004.
130.
Saxenian, A. (1994). Regional advantage: Culture and Competition in Silicon Valley and route 128. Boston: Harvard University Press.
131.
Schamp, E. W., Schmid, S., & Agbakoba, J. A. (2008). Academic Cooperation with Africa: Lessons for Partnership in Higher Education. Lit.
132.
Segarra-Blasco, A., & Arauzo-Carod, J.-M. (2008). Sources of innovation and industry–university interaction: Evidence from Spanish firms. Research Policy, 37(8), 1283-1295. doi:10.1016/j.respol.2008.05.003.
133.
Serban, A. M., & Luan, J. (2002). Knowledge Management: Building a Competitive Advantage in Higher Education: New Directions for Institutional Research, Number 113 (Vol. 4). Jossey-Bass.
134.
Shackelford, C. D., & Moore, S. M. (2013). Fickian diffusion of radionuclides for engineered containment barriers: Diffusion coefficients, porosities, and complicating issues. Engineering Geology, 152(1), 133-147. doi:10.1016/j.enggeo.2012.10.014.
135.
Shin, J., Lee, S., & Kim, Y. (2012). Knowledge-based innovation and collaboration: a triple-helix approach in Saudi Arabia. Scientometrics, 90(1), 311-326. doi:10.1007/s11192-011-0518-3.
136.
Shin, J. C., & Kehm, B. M. (2012). Institutionalization of World-Class University in Global Competition. Netherlands: Springer.
137.
Shin, J. C., Postiglione, G. A., & Huang, F. (2015). Mass Higher Education Development in East Asia: Strategy, Quality, and Challenges (Vol. 2). Springer.
138.
Shin, J. C., Postiglione, G. A., & Huang, F. (2015). Mass Higher Education Development in East Asia: Strategy, Quality, and Challenges. Springer International Publishing.
139.
Singh, J. (2005). Collaborative networks as determinants of knowledge diffusion patterns. Management Science, 51(5), 756-770.
140.
Song, M.-M., & Tai, H.-H. (2007). Taiwan’s responses to globalisation: Internationalisation and questing for world class universities. Asia Pacific Journal of Education, 27(3), 323-340.
141.
Swan, J. A., & Newell, S. (1995). The role of professional associations in technology diffusion. Organization studies, 16(5), 847-874.
142.
Thelwall, M., & Tang, R. (2003). Disciplinary and linguistic considerations for academic Web linking: An exploratory hyperlink mediated study with Mainland China and Taiwan. Scientometrics, 58(1), 155-181.
143.
Tijssen, R. J. (2006). Universities and industrially relevant science: Towards measurement models and indicators of entrepreneurial orientation. Research Policy, 35(10), 1569-1585.
144.
Trow, M. (1973). Problems in the Transition from Elite to Mass Higher Education.
145.
Veugelers, R. (2012). Which policy instruments to induce clean innovating? Research Policy, 41(10), 1770-1778. doi:10.1016/j.respol.2012.06.012.
146.
Wang, J.-P., Guo, Q., Yang, G.-Y., & Liu, J.-G. (2015). Improved knowledge diffusion model based on the collaboration hypernetwork. Physica A: Statistical Mechanics and its Applications, 428, 250-256. doi:10.1016/j.physa.2015.01.062.
147.
Wang, Q., Cheng, Y., & Liu, N. C. (2013). Building World-Class Universities: Different Approaches to a Shared Goal. SensePublishers.
148.
Wilkinson, T. J., & Kannan, V. R. (2013). Strategic Management in the 21st Century. ABC-CLIO.
149.
Wong, C.-Y., & Goh, K.-L. (2010). Modeling the behaviour of science and technology: self-propagating growth in the diffusion process. Scientometrics, 84(3), 669-686. doi:10.1007/s11192-010-0220-x.
150.
Wong, P. K. (2011). Academic Entrepreneurship in Asia: The Role and Impact of Universities in National Innovation Systems. Edward Elgar.
151.
Wright, M., Clarysse, B., Lockett, A., & Knockaert, M. (2008). Mid-range universities’ linkages with industry: Knowledge types and the role of intermediaries. Research Policy, 37(8), 1205-1223. doi:10.1016/j.respol.2008.04.021.
153.
Xing, Z.-l. (2009). Impact of University's Optimal Human Resource Management Practices on Organizational Performance. Systems Engineering - Theory & Practice, 29(11), 112-122. doi:10.1016/S1874-8651(10)60084-1.
154.
Yang, G.-Y., Hu, Z.-L., & Liu, J.-G. (2015). Knowledge diffusion in the collaboration hypernetwork. Physica A: Statistical Mechanics and its Applications, 419, 429-436. doi:10.1016/j.physa.2014.10.012.
| eISSN: | 1305-8223 |
| ISSN: | 1305-8215 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
