scholarly journals Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network

2018 ◽  
Vol 12 (4) ◽  
pp. 1199-1222 ◽  
Author(s):  
Inchae Park ◽  
Byungun Yoon
Keyword(s):  
Citation Network ◽  
Knowledge Flow ◽  
Technological Opportunity ◽  
Technology Knowledge ◽  
Technological Convergence ◽  
Opportunity Discovery

Exploring knowledge flow within a technology domain by conducting a dynamic analysis of a patent co-citation network

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Vladimir Smojver ◽  
Mario Štorga ◽  
Goran Zovak
Keyword(s):  
Life Cycle ◽  
Link Prediction ◽  
Preferential Attachment ◽  
Citation Network ◽  
Patent Citation ◽  
Knowledge Flow ◽  
Prediction Algorithm ◽  
Cycle Phase ◽  
Content Type ◽  
Technology Domain

Purpose This paper aims to present a methodology by which future knowledge flow can be predicted by predicting co-citations of patents within a technology domain using a link prediction algorithm applied to a co-citation network. Design/methodology/approach Several methods and approaches are used: a dynamic analysis of a patent citation network to identify technology life cycle phases, patent co-citation network mapping from the patent citation network and the application of link prediction algorithms to the patent co-citation network. Findings The results of the presented study indicate that future knowledge flow within a technology domain can be predicted by predicting patent co-citations using the preferential attachment link prediction algorithm. Furthermore, they indicate that the patent – co-citations occurring between the end of the growth life cycle phase and the start of the maturation life cycle phase contribute the most to the precision of the knowledge flow prediction. Finally, it is demonstrated that most of the predicted knowledge flow occurs in a time period closely following the application of the link – prediction algorithm. Practical implications By having insight into future potential co-citations of patents, a firm can leverage its existing patent portfolio or asses the acquisition value of patents or the companies owning them. Originality/value It is demonstrated that the flow of knowledge in patent co-citation networks follows a rich get richer intuition. Moreover, it is show that the knowledge contained in younger patents has a greater chance of being cited again. Finally, it is demonstrated that these co-citations can be predicted in the short term when the preferential attachment algorithm is applied to a patent co-citation network.

A structured MPA approach to explore technological core competence, knowledge flow, and technology development through social network patentometrics

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kuei-Kuei Lai ◽  
Hsueh-Chen Chen ◽  
Yu-Hsin Chang ◽  
Vimal Kumar ◽  
Priyanka C. Bhatt
Keyword(s):  
Technology Development ◽  
Knowledge Flow ◽  
Industrial Technology ◽  
Integrated Analysis ◽  
Strategic Decisions ◽  
Content Type ◽  
Technology Knowledge ◽  
Main Path ◽  
Core Technology ◽  
Internal Core

Purpose This study aims to propose a methodology by integrating three approaches, namely, internal core technology, external knowledge flow and industrial technology development to help companies improve their decision-making quality for technology planning and enhance their research and development (R&D) portfolio efficiency. Design/methodology/approach The primary focus of this study is thin-film solar technology and patent data is retrieved from the United States Patent and Trademark Office (USPTO) database. This study presents a methodology based on the proposed integrated analysis method, constructed with patent indicators, centrality analysis of social networks and main path analysis. Findings The results of this study can be itemized as – the core technological competency: companies involved in two specific technology fields have lower strength in R&D portfolio than leading companies with single-core technology. Knowledge flow: most companies in a network are knowledge producers/absorbers and technological development: diverse source and sink nodes were identified in the global main path during 1997-2003, 2004-2010 and 2011-2017. Research limitations/implications Latecomer companies can emulate leaders’ innovation and enhance their technological competence to seek niche technology. Using the global main path, companies monitor outdated technologies that can be replaced by new technologies and aid to plan R&D strategy and implement appropriate strategic decisions avoiding path dependency. Originality/value The knowledge accumulation process helps in identifying the change of position and the role of companies; understanding the trend of industrial technology knowledge helps companies to develop new technology and direct strategic decisions. The novelty of this research lies in the integrated approach of three methods aiding industries to find their internal core technical competencies and identify the external position in the competitive market.

Models of Development Based on Technology Diffusion

2012 ◽  
pp. 117-131 ◽  
Author(s):  
O. Golichenko
Keyword(s):  
Knowledge Transfer ◽  
Technology Diffusion ◽  
Technology Development ◽  
International Competition ◽  
Global Knowledge ◽  
Technology Knowledge ◽  
Catching Up ◽  
Technological Potential ◽  
Models Of Development ◽  
Effective Use

The problems of multifold increase of technological potential of developing countries are considered in the article. To solve them, i.e. to organize effectively tapping into global knowledge and their absorption, the performance of two diffusion channels is considered: open knowledge transfer and commercial knowledge transfer. The models of technological catching-up are investigated. Two of them are found to give an opportunity of effective use of international competition and global technology knowledge as a driver of technology development.

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