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1 – 10 of over 10000
Article
Publication date: 4 May 2020

Fatma Altuntas and Mehmet Şahin Gök

The purpose of this paper is to analyze the wind energy technologies using the social network analysis based on patent information. Analysis of patent documents with…

Abstract

Purpose

The purpose of this paper is to analyze the wind energy technologies using the social network analysis based on patent information. Analysis of patent documents with social network analysis is used to identify the most influential and connected technologies in the field of wind energy.

Design/methodology/approach

In the literature, patent data are often used to evaluate technologies. Patents related to wind energy technologies are obtained from the United States Patent and Trademark Office database and the relationships among sub-technologies based on Corporate Patent Classification (CPC) codes are analyzed in this study. The results of two-phase algorithm for mining high average-utility itemsets algorithm, which is one of the utility mining algorithm in data mining, is used to find associations among wind energy technologies for social network analysis.

Findings

The results of this study show that it is very important to focus on wind motors and technologies related to energy conversion or management systems reducing greenhouse gas emissions. The results of this study imply that Y02E, F03D and F05B CPC codes are the most influential CPC codes based on social network analysis.

Originality/value

Analysis of patent documents with social network analysis for technology evaluation is extremely limited in the literature. There is no research related to the analysis of patent documents with social network analysis, in particular CPC codes, for wind energy technology. This paper fills this gap in the literature. This study explores technologies related to wind energy technologies and identifies the most influential wind energy technologies in practice. This study also extracts useful information and knowledge to identify core corporate patent class (es) in the field of wind energy technology.

Details

Kybernetes, vol. 50 no. 5
Type: Research Article
ISSN: 0368-492X

Keywords

Article
Publication date: 14 June 2019

Jeonghwan Jeon and Yongyoon Suh

Using the large database of patent, the purpose of this paper is to structure a technology convergence network using various patent network analysis for integrating…

Abstract

Purpose

Using the large database of patent, the purpose of this paper is to structure a technology convergence network using various patent network analysis for integrating different results according to network characteristics.

Design/methodology/approach

The patent co-class analysis and the patent citation analysis are applied to discover core safety fields and technology, respectively. In specific, three types of network analysis, which are centrality analysis, association rule mining analysis and brokerage network analysis, are applied to measure the individual, synergy and group intensity.

Findings

The core safety fields derived from three types of network analysis used by different nature of data algorithms are compared with each other to understand distinctive meaning of cores of patent class such as medical safety, working safety and vehicle safety, differentiating network structure. Also, to be specific, the authors find the detailed technology contained in the core patent class using patent citation network analysis.

Practical implications

The results provide meaningful implications to various stakeholders in organization: safety management, safety engineering and safety policy. The multiple patent network enables safety manager to identify core safety convergence fields and safety engineers to develop new safety technology. Also, in the view of technology convergence, the strategy of safety policy can be expanded to collaboration and open innovation.

Originality/value

This is the initial study on applying various network analysis algorithms based on patent data (class and citation) for safety management. Through comparison among network analysis techniques, the different results are identified and the collective decision making on finding core of safety technology convergence is supported. The decision maker can obtain the various perspectives of tracing technology convergence.

Details

Data Technologies and Applications, vol. 53 no. 3
Type: Research Article
ISSN: 2514-9288

Keywords

Article
Publication date: 6 September 2021

Hirokazu Yamada

This study aims to find technologically important patent identification methods and indicators early and efficiently to grasp the technical qualitative level of patents

Abstract

Purpose

This study aims to find technologically important patent identification methods and indicators early and efficiently to grasp the technical qualitative level of patents, which are output indicators of research and development (R&D) results.

Design/methodology/approach

This paper reports on two methods for distinguishing important patents and the indicators obtained from those methods. One of the discrimination methods is Heckman's two-step estimation procedure. The second method is to find the centrality of each patent by network analysis of the citation relationship between publications and to find the importance from the magnitude of the centrality value.

Findings

In Heckman's analysis, the number of citations within three years after publication and the applicant's right acquisition/maintenance motivation index had positive effects on patent importance. The discriminative indicators of important patents by network analysis were degree centrality, mediation centrality, proximity centrality and transit values in the aggregated subnetworks. These two analytical methods are in a relationship that can complement each other's shortcomings. To efficiently evaluate the qualitative importance of patents, it is recommended to use these two methods together.

Research limitations/implications

The indicators of important technical patents might change depending on the technical field. Future studies can apply this research to multiple technical fields to improve robustness and to construct an algorithm that can efficiently evaluate the quality of patents.

Practical implications

This study's results can be useful for grasping the patent position of the company or competitors numerically and for quantitatively evaluating the quality of R&D activities. Furthermore, it is possible to streamline the routine for an exploratory search of a huge number of patents. For example, it could be useful for detecting changes in the paradigm of specific technical knowledge, evolving the genealogy of technical knowledge and creating patent maps for new R&D. These methods greatly increase the effectiveness of technical knowledge information, which is the basis of R&D. In addition, the results of this study can help in evaluating patented assets.

Social implications

This study confirmed the development process of technical knowledge. It is a fact that sharing, sympathy and mutual trust for technical issues and technical values are created among professional engineers and researchers inside and outside the organization, and their preferences and interactions develop and expand technical knowledge. Understanding the process of development and the evolution of this technical knowledge gives hints, such as expanding the discretionary power of engineers and researchers regarding corporate secrets, or reviewing the balance between control and independence, to solve Japanese management problems, which are often closed and monetized in R&D activities.

Originality/value

This study presents a scoring of the technical significance of patents by combining the two analytical methods. In addition, there are proposals as a method for detecting changes in the genealogy and paradigm of technical knowledge. As an analysis method, it is a new proposal that has never existed before.

Details

Library Hi Tech, vol. 40 no. 3
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 19 June 2020

Kuei-Kuei Lai, Hsueh-Chen Chen, Yu-Hsin Chang, Vimal Kumar and Priyanka C. Bhatt

This study aims to propose a methodology by integrating three approaches, namely, internal core technology, external knowledge flow and industrial technology development…

Abstract

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.

Details

Journal of Knowledge Management, vol. 25 no. 2
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 13 July 2020

Vimal Kumar, Kuei-Kuei Lai, Yu-Hsin Chang, Priyanka Chand Bhatt and Fang-Pei Su

The evolution of technology has become the mainstream of the current technological innovation era. Technological change is organized in its unique pattern and a new…

1206

Abstract

Purpose

The evolution of technology has become the mainstream of the current technological innovation era. Technological change is organized in its unique pattern and a new approach that takes place in a systematic and selective manner. Such change is generally molded with the amalgamation of various factors, namely, economic, social or scientific and technological. This paper aims to focus on identifying technological trajectories in a technological ecosystem with the case of m-payment technology.

Design/methodology/approach

This study constructs a patent citation network for mobile payment service technology through patent citation data and identifies the main evolution process using the main path analysis of the network. The scope of this study focuses on key innovation using social network analysis and patent citation network, validated using the case of a mobile payment system and analyzing its technological trajectory.

Findings

Analyzing technology evolution provides a greater insight of the overall technology landscape to the researcher and practitioner. Analyzing the m-payment technology landscape gives three main categories of m-payment systems: the mobile financial transaction system), the payee mobile device payment selection system and e-wallet services.

Originality/value

The novelty of this research lies in the process of identifying technological evolution using social network and patent citation network analysis. The case of m-payment technology ecosystem is studied quantitatively which is not explored by previous researchers. This research provides a way to develop the main path technology of innovative products or services to identify technology evolution using the case of m-payment landscape.

Details

Journal of Knowledge Management, vol. 25 no. 2
Type: Research Article
ISSN: 1367-3270

Keywords

Book part
Publication date: 6 July 2015

Esther van Zimmeren, Emmanuelle Mathieu and Koen Verhoest

Many European-level networks and regulatory constellations in different sectors (e.g., energy, telecommunications) without clear anchorage into the European Union (EU…

Abstract

Purpose

Many European-level networks and regulatory constellations in different sectors (e.g., energy, telecommunications) without clear anchorage into the European Union (EU) institutional landscape have been subject to increasing efforts by the EU institutions to tie them closer to the EU. They are serving increasingly as platforms for preparing EU policy or for implementing EU decisions, which may result in closer institutional bonds with the EU. This chapter aims at examining the differences and similarities between the process towards more EU-integration in two different domains (i.e., telecommunications and patents) and regulatory constellations (i.e., supranational and intergovernmental).

Methodology/approach

The chapter analyzes the evolution in the European telecommunication sector and the European Patent System and juxtaposes this analysis with the literature on institutionalization, Europeanization of regulatory network-organizations, and multilevel governance (MLG). It focuses on the role of the European Commission and the interaction with the national regulatory agencies (NRAs) and networks within the institutional framework.

Findings

Irrespective of the particular regime (intergovernmental/supranational) in a certain domain or sector, a common trend of closer coordination and integration prompted by the Commission is taking place, which triggers a certain resistance by the national bodies regulating that domain. As long as a specific competence is considered instrumental in the creation of the single market, the Commission has strong incentives to strengthen its influence in this field, even if those competences have been regulated through an independent intergovernmental regime.

Research implications

The dynamic described in this chapter allows us to reflect upon the MLG conception as developed by Marks and Hooghe (2004), which distinguish between two types of MLG. Type I MLG refers to different levels of governments, more specifically to the spread of power along different governmental levels and the interactions between them. Type II MLG refers to jurisdictions that are both task-specific and based on membership that can intersect with each other. They respond to particular problems in specific policy fields (Marks & Hooghe, 2004). Our analysis shows that the increase in coordination and integration are the outcome of both MLG Type II processes (coordination between two issue-specific bodies) and of MLG Type I processes (tensions between two governmental levels). Furthermore, the negotiation dynamics regarding this increased coordination and integration reveal that the tensions typical of MLG Type I took place as a consequence of the increased coordination between Type II bodies. Put differently, multi-level coordination and integration mechanisms in the EU can be seen as both Type I and Type II processes. They combine features of both categories and reveal that their Type I and Type II features are interdependent.

Practical implications

The analysis in this chapter shows a need for further strengthening the MLG Type I and II conceptual framework by balancing the analytical distinction between the two types with developments about how Type I and Type II are often entangled and intertwined with each other rather than separated realities.

Social implications

The chapter describes and compares the dynamics in the European telecommunications sector and the European patent system with interesting observations for NRAs and the European Commission with respect to coordination and integration.

Originality/value

The original nature of the current chapter relates to the two selected areas and the addition to the literature on MLG.

First, with respect to the areas investigated the dynamics of the European telecommunications sector have been analyzed also by other authors, but the European patent system is an area which is relatively unexplored in terms of governance research. The combination of the two sectors with a detailed analysis of similarities and differences is highly original and generates interesting lessons with respect to coordination and integration in supranational and intergovernmental regimes.

Second, Marks and Hooghe (2004) distinguish between the two types of MLG as if they are two different constructs that are not related to each other. Our cases and argument cover both types of MLG and show the interconnection between the dynamics taking place in the two types of MLG.

Open Access
Article
Publication date: 2 October 2018

Cristiano Goncalves Pereira, Rodrigo Ribeiro Da Silva, João Ricardo Lavoie and Geciane Silveira Porto

The establishment of partnerships between companies, government and universities aims to enhance innovation and the technological development of institutions. The…

2072

Abstract

Purpose

The establishment of partnerships between companies, government and universities aims to enhance innovation and the technological development of institutions. The biotechnology sector has grown in recent years mainly driven by its cooperative business model. Compared to other countries, this sector is slowly advancing in Brazil, with delays in science, technology and innovation, especially in the private sector. This paper aims to examine, through social network analysis, the collaborative networks between institutions that filed patents in biotechnology – medicinal preparations from plants – whose inventions had Brazil as the priority country.

Design/methodology/approach

The study of technological cooperation using patent documents is a reliable approach as they serve as good indicators of the interactions between organizations that focus on innovation and development of new product. Social network analysis of cooperation networks helps to understand the connections between patent assignees, and how they establish relationships.

Findings

Results show that public universities are the institutions that most deposit patents, as well as those that co-operate the most, especially Universidade of Campinas. The study also reveals the critical role of Research Support Agencies in stimulating research and technological development, which result in new technologies.

Originality/value

The study applied the social network analysis to provide an overview of the interactions among Brazilian institutions with the purpose of helping in decision-making and inciting public policies to leverage the biotechnology sector.

Details

Innovation & Management Review, vol. 15 no. 4
Type: Research Article
ISSN: 2515-8961

Keywords

Article
Publication date: 2 November 2020

Shu-Hao Chang

Defining key artificial intelligence (AI) technologies is especially fundamental because AI applications involve the development of multiple technical fields and have the…

397

Abstract

Purpose

Defining key artificial intelligence (AI) technologies is especially fundamental because AI applications involve the development of multiple technical fields and have the potential to generate numerous business opportunities in the future. However, most related studies have examined patent grants granted by or patent applications filed to major patent offices; few studies have employed the perspective of standard-essential patents (SEPs) from a holistic technical view. In addition, because few studies have explored the status signals of countries in relation to SEPs, the present study integrated “country” into the model and determined differences among countries in terms of their technological focus.

Design/methodology/approach

In this study, through patent technological network analysis in various periods, the author not only observed the focus fields of AI-related SEPs but also examined temporal trends to determine technical development trends.

Findings

This study identified technologies that have been key players in the SEP network in recent years; these technologies were centered on electric digital data processing, recognition of data and transmission of digital information. Moreover, many of these technologies have been applied in areas such as management and commerce and radio navigation. Furthermore, the USA plays a crucial role in the global development of AI technical network.

Originality/value

This study constructs a technical network model to identify key technologies and trends that can serve as a reference for national research and development resource allocation.

Details

Data Technologies and Applications, vol. 55 no. 1
Type: Research Article
ISSN: 2514-9288

Keywords

Article
Publication date: 17 June 2020

Vladimir Smojver, Mario Štorga and Goran Zovak

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…

Abstract

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.

Details

Journal of Knowledge Management, vol. 25 no. 2
Type: Research Article
ISSN: 1367-3270

Keywords

Article
Publication date: 15 October 2021

Shu-Hao Chang

The application of laser and optical technologies in the industry is wide and extensive; the development and application of laser and optical technologies have become a…

Abstract

Purpose

The application of laser and optical technologies in the industry is wide and extensive; the development and application of laser and optical technologies have become a promising research domain. However, most existing studies have focused on the technical aspects or the application aspects; these studies have not highlighted the technology distribution and application development of laser and optical technologies from the big picture. Additionally, the manner in which the research and development (R&D) results of universities correspond to the needs of enterprises and industry has become a topic of concern for the public. Therefore, this study aims to adopt the academic patents as the basis for analysis and to construct a laser and optical technology network.

Design/methodology/approach

Therefore, in the current study, the researchers have analyzed relevant academic patent technology networks, using academic patents of laser and optical technologies as a basis of analysis.

Findings

The study results indicated that the key technologies mainly lie in nanostructures, metal-working, material analysis and semiconductor devices. Additionally, these technologies are mainly applied in industries, such as optics, medical technology, pharmaceuticals, biotechnology and organic fine chemistry; this indicated that a large proportion of academia’s R&D outcomes are applied in these industries.

Originality/value

In this study, the researchers have constructed a technology network model to explore the technical development direction of laser and optical technologies; the results of the current study could serve as a reference for universities and industry for allocation of R&D resources.

Details

International Journal of Innovation Science, vol. 14 no. 2
Type: Research Article
ISSN: 1757-2223

Keywords

1 – 10 of over 10000