A Predictive Model of Technology Transfer Using Patent Analysis

The rapid pace of technological advances creates many difficulties for R&D practitioners in analyzing emerging technologies. Patent information analysis is an effective tool in this situation. Conventional patent information analysis has focused on the extraction of vacant, promising, or core technologies and the monitoring of technological trends. From a technology management perspective, the ultimate purpose of R&D is technology commercialization. The core of technology commercialization is the technology transfer phase. Although a great number of patents are filed, publicized, and registered every year, many commercially relevant patents are filtered through registration processes that examine novelty, creativity, and industrial applicability. Despite the efforts of these selection processes, the number of patents being transferred is low when compared with total annual patent registrations. To deal with this problem, this study proposes a predictive model for technology transfer using patent analysis. In the predictive model, patent analysis is conducted to reveal the quantitative relations between technology transfer and a range of variables included in the patent data.

[1]  Yongtae Park,et al.  Development of New Technology Forecasting Algorithm: Hybrid Approach for Morphology Analysis and Conjoint Analysis of Patent Information , 2007, IEEE Transactions on Engineering Management.

[2]  Mary Ellen Mogee,et al.  Using Patent Data for Technology Analysis and Planning , 1991 .

[3]  Jae Young Choi,et al.  A Study on Diffusion Pattern of Technology Convergence: Patent Analysis for Korea , 2015 .

[4]  Warren E. Walker,et al.  Adapt or Perish: A Review of Planning Approaches for Adaptation under Deep Uncertainty , 2013 .

[5]  Sunghae Jun,et al.  Examining technological innovation of Apple using patent analysis , 2013, Ind. Manag. Data Syst..

[6]  Michael Main.  Data Structures and Other Objects Using C , 1994 .

[7]  Tao Huang,et al.  Patent classification system using a new hybrid genetic algorithm support vector machine , 2010, Appl. Soft Comput..

[8]  한정희,et al.  Study on Future Foresight of the Technology Commercialization Policy , 2013 .

[9]  H. Chandler.  Database , 1985 .

[10]  Hideki Kobayashi,et al.  An R&D Management Framework for Eco-Technology , 2011 .

[11]  T. Daim,et al.  Measuring the efficiency of university technology transfer , 2007 .

[12]  Ali Mohaghar,et al.  Evaluation of technology transfer strategy of petrochemical process , 2012 .

[13]  Gordon Kingsley,et al.  Technology transfer and absorption: an 'R & D value-mapping' approach to evaluation , 1996 .

[14]  So Young Sohn,et al.  Decision Tree based on data envelopment analysis for effective technology commercialization , 2004, Expert Syst. Appl..

[15]  Dong-Sik Jang,et al.  A patent examining expert system using pattern recognition , 2011, Expert Syst. Appl..

[16]  Morten Levin,et al.  Technology transfer as a learning and developmental process: an analysis of Norwegian programmes on technology transfer , 1993 .

[17]  So Young Sohn,et al.  Structural equation model for predicting technology commercialization success index (tcsi) , 2003 .

[18]  Kurt Hornik,et al.  Text Mining Infrastructure in R , 2008 .

[19]  Sunghae Jun,et al.  A Network Analysis Model for Selecting Sustainable Technology , 2015 .

[20]  武彦 福島.  持続可能性(Sustainability)の要件 , 2006 .

[21]  Dagmara Weckowska,et al.  Learning in university technology transfer offices: transactions-focused and relations-focused approaches to commercialization of academic research , 2015 .

[22]  Carter T. Butts,et al.  Social Network Analysis with sna , 2008 .

[23]  D. Mowery,et al.  Strategic alliances and interfirm knowledge transfer , 1996 .

[24]  Petra Perner,et al.  Data Mining - Concepts and Techniques , 2002, Künstliche Intell..

[25]  Louise A. Heslop,et al.  Development of a Technology Readiness Assessment Measure: The Cloverleaf Model of Technology Transfer , 2001 .

[26]  Sung-Hae Jun.  Technology Forecasting of Intelligent Systems using Patent Analysis , 2011 .

[27]  Pao-Long Chang,et al.  A fuzzy multi-criteria decision making method for technology transfer strategy selection in biotechnology , 1994 .

[28]  Jeffrey Cummings,et al.  Transferring R&D Knowledge : the Key Factors Affecting Knowledge Transfer Success , 2003 .

[29]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[30]  Stefan Hack,et al.  The Potential of IT for Corporate Sustainability , 2014 .