Open Innovation with Fuzzy Cognitive Mapping for Modeling the Barriers of University Technology Transfer: A Philippine Scenario
暂无分享,去创建一个
Lanndon A. Ocampo | Dharyll Prince M. Abellana | Shirley Ann A. Caballes | Renissa S. Quiñones | Hubert G. Quiñones | Shirley Ann Caballes | Eula Margareth Y. Jabilles | Celbert Himang | June Anne Caladcad | Celbert M. Himang | L. Ocampo | E. M. Jabilles | J. A. Caladcad | Hubert Quiñones | D. P. Abellana | Renissa Quiñones | June Anne A. Caladcad
[1] Weiping Wu,et al. An evolving regional innovation network: collaboration among industry, university, and research institution in China’s first technology hub , 2019 .
[2] Theofanis Gemtos,et al. Yield prediction in apples using Fuzzy Cognitive Map learning approach , 2013 .
[3] J. Yun,et al. Entrepreneurial cyclical dynamics of open innovation , 2018, Journal of Evolutionary Economics.
[4] Olaf P Jensen,et al. Fuzzy cognitive mapping in support of integrated ecosystem assessments: Developing a shared conceptual model among stakeholders. , 2016, Journal of environmental management.
[5] David V. Gibson,et al. Key variables in technology transfer: A field-study based empirical analysis , 1991 .
[6] Giuseppina Passiante,et al. A mechanism for sharing best practices between university technology transfer offices , 2017 .
[7] Adam Mazurkiewicz,et al. Technology Transfer Barriers and Challenges Faced by R&D Organisations , 2017 .
[8] Rudi Bekkers,et al. Differences in technology transfer between science-based and development based industries: transfer mechanisms and barriers , 2011 .
[9] Steven Gray,et al. Are coastal managers detecting the problem? Assessing stakeholder perception of climate vulnerability using Fuzzy Cognitive Mapping , 2014 .
[10] Seymour Baron,et al. Overcoming Barriers To Technology Transfer , 1990 .
[11] J. Yun,et al. The Effect of Open Innovation on Technology Value and Technology Transfer: A Comparative Analysis of the Automotive, Robotics, and Aviation Industries of Korea , 2018, Sustainability.
[12] Gail A. Van Norman,et al. Technology Transfer: From the Research Bench to Commercialization , 2017, JACC. Basic to translational science.
[13] Koenraad Debackere,et al. The Role of Academic Technology Transfer Organizations in Improving Industry Science Links , 2005 .
[14] Paul O’Reilly,et al. Enablers and barriers to university technology transfer engagements with small- and medium-sized enterprises: perspectives of Principal Investigators , 2017 .
[15] A. Salter,et al. Crossing the Rubicon: Exploring the Factors that Shape Academics Perceptions of the Barriers to Working with Industry , 2012 .
[16] Arvids A. Ziedonis,et al. The growth of patenting and licensing by U.S. universities: an assessment of the effects of the Bayh–Dole act of 1980 , 2001 .
[17] Nicholas S. Vonortas,et al. Commercialization of transferred public technologies , 2019, Technological Forecasting and Social Change.
[18] Alan Collier,et al. Enablers and barriers to university and high technology SME partnerships , 2011 .
[19] J. Berbegal‐Mirabent,et al. Assessing the productivity of technology transfer offices: an analysis of the relevance of aspiration performance and portfolio complexity , 2019 .
[20] Marina Dabić,et al. The Croatian path from socialism to European membership through the lens of technology transfer policies , 2019, The Journal of Technology Transfer.
[21] Peter Brimble,et al. University–Industry Linkages and Economic Development: The Case of Thailand , 2007 .
[22] D. Sarpong,et al. A comparative study of appropriateness and mechanisms of hard and soft technologies transfer , 2017, Technological Forecasting and Social Change.
[23] J. Dilley,et al. Identifying barriers to HIV testing: personal and contextual factors associated with late HIV testing , 2011, AIDS care.
[24] Lei Wang,et al. Effectiveness assessment of ship navigation safety countermeasures using fuzzy cognitive maps , 2019, Safety Science.
[25] Carolin Plewa,et al. What Drives and Inhibits University‐Business Cooperation in Europe? A Comprehensive Assessment , 2016 .
[26] Bart Kosko,et al. Fuzzy Cognitive Maps , 1986, Int. J. Man Mach. Stud..
[27] Rakesh D. Raut,et al. Modelling the challenges to sustainability in the textile and apparel (T&A) sector: A Delphi-DEMATEL approach , 2018, Sustainable Production and Consumption.
[28] A. Link,et al. Toward a model of the effective transfer of scientific knowledge from academicians to practitioners: qualitative evidence from the commercialization of university technologies. , 2004 .
[29] Paolo Landoni,et al. Organizational structures for external growth of University Technology Transfer Offices: An explorative analysis , 2017 .
[30] I. Nonaka. A Dynamic Theory of Organizational Knowledge Creation , 1994 .
[31] I PapageorgiouElpiniki,et al. A review of fuzzy cognitive maps in medicine , 2017 .
[32] Liming Li,et al. Complexity evolution of capital and technology transfer in climate negotiation , 2018, Commun. Nonlinear Sci. Numer. Simul..
[33] Genovaitė Liobikienė,et al. University contributions to environmental sustainability: challenges and opportunities from the Lithuanian case , 2015 .
[34] Ming-Lang Tseng,et al. Modeling sustainable production indicators with linguistic preferences , 2013 .
[35] Qian Shujing. The Analysis on Barriers of Low Carbon Technology Transfer , 2012 .
[36] David B. Audretsch,et al. The Bayh-Dole Act and scientist entrepreneurship , 2011 .
[37] Francesco Baldi,et al. University technology transfer office business models: One size does not fit all , 2018, Technovation.
[38] Gonzalo Nápoles,et al. Two-steps learning of Fuzzy Cognitive Maps for prediction and knowledge discovery on the HIV-1 drug resistance , 2014, Expert Syst. Appl..
[39] Harpalsinh Chudasama,et al. Assessing impacts and community preparedness to cyclones: a fuzzy cognitive mapping approach , 2017, Climatic Change.
[40] Evgenia Anagnostopoulou,et al. Identifying barriers in the diffusion of renewable energy sources , 2015 .
[41] Jan Youtie,et al. The evolving state-of-the-art in technology transfer research: Revisiting the contingent effectiveness model , 2015 .
[42] Chrystalla Kapetaniou,et al. A framework for assessing the performance of universities: The case of Cyprus , 2017 .
[43] Abdollah Amirkhani,et al. A review of fuzzy cognitive maps in medicine: Taxonomy, methods, and applications , 2017, Comput. Methods Programs Biomed..
[44] M. Woolcock. Social capital and economic development: Toward a theoretical synthesis and policy framework , 1998 .
[45] Yung-Chi Shen,et al. Identifying the key barriers and their interrelationships impeding the university technology transfer in Taiwan: a multi-stakeholder perspective , 2017 .
[46] Dixit Garg,et al. Identification and evaluation of critical factors to technology transfer using AHP approach , 2015 .
[47] Corrado lo Storto,et al. Small Group Problem-Solving and Knowledge Creation: A Fuzzy Cognitive Maps Investigation , 2016 .
[48] Ludovic-Alexandre Vidal,et al. Using a Delphi process and the Analytic Hierarchy Process (AHP) to evaluate the complexity of projects , 2011, Expert Syst. Appl..
[49] A. Salter,et al. Investigating the factors that diminish the barriers to university–industry collaboration , 2009 .
[50] Michael A. Greiner,et al. Barriers and Bridges for Successful Environmental Technology Transfer , 2003 .
[51] Eleonora Bottani,et al. Investigating the role of social media in polio prevention in India: a Delphi-DEMATEL approach , 2018, Kybernetes.
[52] Alessandro Muscio,et al. Perceived Obstacles to University–Industry Collaboration: Results from a Qualitative Survey of Italian Academic Departments , 2014 .
[53] Per Erik Eriksson,et al. Managing uncertainty and equivocality in joint process development projects , 2016 .
[54] J. Yun,et al. Micro- and Macro-Dynamics of Open Innovation with a Quadruple-Helix Model , 2019, Sustainability.
[55] Hans-Horst Schröder,et al. Integrating market and technological knowledge in the fuzzy front end: an FCM-based action support system , 2003, Int. J. Technol. Manag..
[56] Magnus Klofsten,et al. Creating a bridge between university and industry in small European countries: the role of the Industrial Liaison Office , 1999 .
[57] Réjean Landry,et al. “The Triple-Helix collaboration: Why do researchers collaborate with industry and the government? What are the factors that influence the perceived barriers?” , 2007, Scientometrics.
[58] Uygar Özesmi,et al. Ecological models based on people’s knowledge: a multi-step fuzzy cognitive mapping approach , 2004 .
[59] Alan L. Porter,et al. Triple Helix innovation in China’s dye-sensitized solar cell industry: hybrid methods with semantic TRIZ and technology roadmapping , 2013, Scientometrics.
[60] Tugrul U. Daim,et al. Technology roadmap through fuzzy cognitive map-based scenarios: the case of wind energy sector of a developing country , 2016, Technol. Anal. Strateg. Manag..
[61] Andrzej H. Jasiński,et al. Barriers for technology transfer: the case of a country in transition , 2009 .
[62] S. Arora,et al. Using web mining to explore Triple Helix influences on growth in small and mid-size firms , 2016, Technovation.
[63] Nicholas S. Vonortas,et al. Evolution of university-industry collaboration in Brazil from a technology upgrading perspective , 2019, Technological Forecasting and Social Change.
[64] Lanndon A. Ocampo,et al. Development of a sustainable manufacturing strategy using analytic network process , 2016 .
[65] Simon Mosey,et al. Creating network bridges for university technology transfer: The medici fellowship programme , 2006, Technol. Anal. Strateg. Manag..
[66] Creso M. Sá,et al. Faculties of education and institutional strategies for knowledge mobilization: an exploratory study , 2011 .
[67] Mohd. Zaidi Omar,et al. University-industry Collaboration Models in Malaysia☆ , 2013 .
[68] Paola Giuri,et al. The strategic orientation of universities in knowledge transfer activities , 2019, Technological Forecasting and Social Change.
[69] A. Messeni Petruzzelli,et al. University–Industry collaborations and international knowledge spillovers: a joint-patent investigation , 2020, The Journal of Technology Transfer.
[70] Tommy Dalgaard,et al. Can fuzzy cognitive mapping help in agricultural policy design and communication , 2015 .