Identifying emerging core technologies for the future: Case study of patents published by leading telecommunication organizations

Noh, Heeyong; Song, Yongsoo; Lee, Sungjoo

doi:10.1016/j.telpol.2016.04.003

Cited by 64 publications

(23 citation statements)

References 60 publications

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“…Due to the increased risks involved in launching and growing a new business, TOD mainly collects bibliometric or patent information to conduct value-added analysis as a reference for technical engineers, strategy managers, or market analysts in a suitable form [5]. The patent documents provide not only the bibliographic information but also the detailed technical information, such as the principles of function, the components of process, and the intrinsic causal relationship of each element [16]. The use of patent analysis has been increasingly significant in recent years, and patents have been applied to identify technological opportunity [17].…”

Section: Technology Opportunity Discoverymentioning

confidence: 99%

Discovering Technology Opportunity by Keyword-Based Patent Analysis: A Hybrid Approach of Morphology Analysis and USIT

et al. 2019

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As innovative technology is being developed at an accelerated rate, the identification of technology opportunities is especially critical for both companies and governments. Among various approaches to search for opportunities, one of the most frequently used is to discover technology opportunity from patent data. In line with it, this paper aims to propose a hybrid approach based on morphological analysis (MA) and unified structured inventive thinking (USIT) for technology opportunity discovery (TOD) through patent analysis using text mining and Word2Vec clustering analysis to explore the intrinsic links of innovation elements. A basic morphology matrix is constructed according to patent information and then is extended using the innovation algorithms that are reorganized from USIT. Technology opportunities are analyzed at two layers to generate new technical ideas. To illustrate the research process and validate its utility, this paper selects the technology of coalbed methane (CBM) extraction as a use case. This hybrid approach contributes by suggesting a semi-autonomous and systematic procedure to perform MA for TOD. By integrating the innovation algorithms, this approach improves the procedure of value extension in MA.

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Section: Technology Opportunity Discoverymentioning

confidence: 99%

Discovering Technology Opportunity by Keyword-Based Patent Analysis: A Hybrid Approach of Morphology Analysis and USIT

et al. 2019

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“…From the patent perspective, the technology that possesses core relevant patents can be regarded as a promising technology, as a patent is a legal means to protect the right of use of a technology. The term "promising technology" [1,[15][16][17] is used interchangeably with other similar terms such as "emerging technology" [18][19][20][21][22][23][24], "research front" [2,[25][26][27][28], and "research frontier" [1,29,30] etc. without it being defined clearly.…”

Section: Concept Of Promising Technologymentioning

confidence: 99%

“…Similarly, Rotolo et al [32] identified five attributes of emerging technologies: (i) radical novelty [19,33]; (ii) relatively fast growth [31,34]; (iii) coherence [19,[34][35][36]; (iv) prominent impact [18][19][20][21]31,[34][35][36][37]; and (v) uncertainty and ambiguity [19][20][21]31,35,38,39]. However, Noh et al [15] included four major concepts for promising technology in a broad sense: (i) technological vacancy; (ii) convergent technology; (iii) recent appearance and rapid growth of a technology regarding emerging technology; and (iv) customer-based technology. These perspectives on promising technology were not constructed to be mutually exclusive or collectively exhaustive, as they are affected by the purpose of the research, and the characteristics of technologies, respectively.…”

Section: Concept Of Promising Technologymentioning

confidence: 99%

Identifying Promising Research Frontiers of Pattern Recognition through Bibliometric Analysis

Park

Yoon

2018

Sustainability

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This paper aims at proposing a quantitative methodology to identify promising research frontiers (RFs) based on bibliographic information of scientific papers and patents. To achieve this, core technological documents are identified by suggesting several indices which measure paper impact, research impact, patent novelty, impact, marketability, and the right range to evaluate technological documents and which measure the research capability of research organizations (ROs) such as a RO’s activity, productivity, market competitiveness, and publication impact. The RFs can be identified by clustering core technological documents, and promising indices of each RF which are from the perspectives of growth, impact, marketability, and science-based effect, are calculated to promising RFs. As an illustration, this paper selects the case of pattern recognition technology among various technologies in the information and communication technology sector. To validate the proposed method, emerging technologies on the hype cycle are utilized, allowing analysts to compare the results. Comparing the results derived from scientific papers and patents, the results from scientific papers are proper to suggest themes for research (R) in relatively long-term perspective, whereas the results from patents are appropriate for providing themes for development (D) in terms of relatively short-term view. This approach can assist research organizations and companies in devising a technology strategy for a future direction of research and development.

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“…High-speed access to mobile data has become one of the most significant demands of smartphone subscribers. The increasing availability of intelligent equipment and the ever-growing demand for multi-media streaming services have drastically increased the volume of mobile data traffic [1]. In 2016, the total generated mobile data was 8.8 Exabyte, 50% of which belonged to video content.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory

et al. 2020

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Understanding the mechanism underlying the mobile telecommunications technologies (MTTs) diffusion in a country is crucial for telecom planners to know how to accelerate their diffusion by designing appropriate scenarios. Considering the technology diffusion as a bottom-up process, this study is aimed at exploring this mechanism, drawing on insights from diffusion of innovation theory and social network theory. Accordingly, an agent-based model is proposed to investigate how MTTs are diffused in Iran over time. The results of this study show, (1) social network of Iranian society seems more similar to a Watts–Strogatz small-world network than a Barabási–Albert preferential attachment network, where the clustering coefficient is high and average path length is low, (2) compared to the compatibility parameter, the advertisement parameter not only is less influential on diffusion of a targeted MTT (i.e., 4G) but also is not necessary for it, and (3) scenarios having the least number of steps and turning points are more appropriate for continuous diffusion of 4G. The proposed study is empirically validated against real-world data ranging from 7/1/2017 to 12/31/2017. We believe it provides telecom planners insights regarding MTTs diffusion mechanism in a social complex structure and the how of scenario designing for increasing their diffusion.

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Identifying emerging core technologies for the future: Case study of patents published by leading telecommunication organizations

Cited by 64 publications

References 60 publications

Discovering Technology Opportunity by Keyword-Based Patent Analysis: A Hybrid Approach of Morphology Analysis and USIT

Discovering Technology Opportunity by Keyword-Based Patent Analysis: A Hybrid Approach of Morphology Analysis and USIT

Identifying Promising Research Frontiers of Pattern Recognition through Bibliometric Analysis

Modeling the Adoption and Diffusion of Mobile Telecommunications Technologies in Iran: A Computational Approach Based on Agent-Based Modeling and Social Network Theory

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