Yuya Kajikawa

• Professor (Associate) at Tokyo Institute of Technology

Patent analytics is crucial for understanding innovation dynamics and technological trends. However, a comprehensive overview of this rapidly evolving field is lacking. This study presents a data-driven analysis of patent research, employing citation network analysis to categorize and examine research clusters. Here, we show that patent research is...

The rapidly growing global demand for coffee has fueled proportionate production. However, a comprehensive and consistent understanding of the associated environmental assessment (EIA) across the production-to-consumption value chain is lacking. Despite using EIA tools like life cycle assessment (LCA) and environmental footprint (EF), achieving a u...

The key component in electric vehicles (EV) is the battery consisting of critical minerals and metals. One major concern is the recyclability and sustainability of EV batteries including these critical raw materials. Circular economy (CE) innovation, regulation, and business development would help to advance sustainability in the EV battery sector....

Accounting for scope 3 emissions from investments remains a challenge due to a lack of adequate data and guidelines that do not accommodate the systemic role of firms in the financial chain. Here, we use network analysis to estimate investment-associated scope 3 carbon emissions of public firms. Using shareholder data from publicly traded firms lis...

Transforming global food supply chains for sustainability in a pervasive manner requires leading it for specific contexts. As central intermediaries between producers and consumers possessing both tacit and explicit knowledge of supply–demand and local business cultures, traders are uniquely positioned for ecosystem orchestration (EO). The limited...

Multinational Enterprises (MNEs) periodically decide on both which products to launch (or phase out) and in which global regions, thereby conducting an integrated products-countries consideration in diversification strategies. Over time, these diversification decisions can have a cumulative impact on the structure. Diversification literature has pr...

Technology and innovation management is vital emerging research fields. Technological Forecasting and Social Change (TFSC) has worked as a major forum in this field and is currently regarded as the leading journal. However, an increasing number of publications hamper a comprehensive understanding of the field and journal. In this study, we conducte...

This paper studies the difference between startup investments by private equity funds (buyout funds; PE) and venture capital funds (VC). PEs, which have traditionally invested in mature companies, have been increasingly investing in later-stage startups in recent years. Based on Crunchbase’s data on EU startup investments from 2011 to the first hal...

Solutions that engage the public are needed to tackle air pollution. Technological approaches are insufficient to bring urban air quality to recommended target levels, and miss out on opportunities to promote health more holistically through behavioural solutions, such as active travel. Behaviour change is not straightforward, however, and is more...

This article surveys topic distributions of the academic literature that employs the terms bibliometrics, scientometrics, and informetrics. This exploration allows informing on the adoption of those terms and publication patterns of the authors acknowledging their work to be part of bibliometric research. We retrieved 20,268 articles related to bib...

The present article explores 98 years of creativity research [1922–2020] covering more than 38,000 academic articles on the topic. By applying computational methods rooted in network analysis and text mining, we uncover a history of creativity research spread through 12 major topics of inquiry, including, among others, the psychology of creativity,...

This paper applied a literature-based discovery methodology utilizing citation networks and text mining in order to extract and represent shared terminologies found in disjoint academic literature on food security and the Internet of Things. The topic of food security includes research on improvements in nutrition, sustainable agriculture, and a pl...

This article reviews literature on manufacturing enterprise performance (MEP) and environmental sustainability (ES) to identify their commonalities and distinguishing factors; it is expected to help determine gaps and paths for future research. Topics are classified based on patterns in the citation networks of 7308 and 6275 MEP and ES articles, re...

Digitally dependent firms, which are linked to a large number of other firms with varying capabilities, are challenged on evaluating networks with which to engage. Empirically supported heuristic guidance can aid firms in identifying alliances to strengthen capability. We report a case study of firms linked to the Internet of Things (IoT) with a br...

The cover image is based on the Advanced Review Using big data analytics to synthesize research domains and identify emerging fields in urban climatology by Fei Huo et al., https://doi.org/10.1002/wcc.688. Abstract The cover image is based on the Advanced Review Using big data analytics to synthesize research domains and identify emerging fields i...

The growing concerns over urbanization and climate change have resulted in an exponential growth in publications on urban climatology in recent decades. However, an advanced synthesis that characterizes the existing studies is lacking. In this review, we used citation network analysis and a text mining approach to identify research trends and extra...

Hydrogen technologies are promising candidates of new energy technologies for electric power load smoothing. However, regardless of long-term public investment, hydrogen economy has not been realized. In Japan, the National Research and Development Institute of New Energy and Industrial Technology Development Organization (NEDO), a public research-...

Methodologies for literature-based discovery in their closed modality, aim to connect two disjoint literatures A and C by providing a list of B-terms from where hypotheses can be drawn. In this paper, we propose a method for representing B-terms as a network. Such representation further allows us to obtain shared themes and ease the exploration of...

This study explores how supply network degree, closeness, and betweenness centralities affect firm performance, and the moderating effects of organizational reputation (measured by PageRank centrality) and export-orientation. The supply chain relationship empirical data are drawn from manufacturing and manufacturing service companies in Hong Kong,...

Firms seeking to align with an emerging socio-technological paradigm for a future sustainable competitive advantage are faced with the decision of effectively positioning themselves within related business ecosystems. The positioning options broadly belong to assuming the functions of a platform, a supplier, a complementary, an intermediary or a co...

This study analyzes how characteristics in the careers of star researchers affect the outcomes of research and development (R&D), based on a case study in a Japanese semiconductor company. By analyzing the collaboration network of patent coinventors in the company, we observe that long-term exposition and collaboration with other high-achieving res...

https://authors.elsevier.com/a/1aawd15eiezy53 Energy storage technologies are a critical component of the rapidly growing global demand for reliable electric power supply. Consequently, researchers in both academia and industry have intensified their focus on enhancing electric power generation and distribution systems, publishing thousands of rel...

Business Ecosystem (BE) has been defined in multiple ways and has been used interchangeably, jointly and overlapping with innovation ecosystems (IE) and digital ecosystems (DE), making it difficult to differentiate, consolidate, utilize and grow the body of knowledge, both in academia and industry. We use text mining techniques to reveal overlappin...

Article: https://www.sciencedirect.com/science/article/pii/S0040162518312575 Robotics is a growing academic field that has received extensive social attention, where both promising and contested opinions can be found with regard to its applications. To understand commonalities and differences between social expectations and academic research, we a...

In the field of technology management, methods have been developed to detect technologies that are important in industry by analyzing massive numbers of documents. Such methods have been applied to the field of the Internet of Things as well to investigate technological trends. The Internet of Things consists of several conventional concepts, such...

Due to the Fukushima Daiichi Nuclear Power Plant accident, the government and industries that should be responsible for nuclear safety have totally lost their trust from public. To regain the credibility after the disaster, the Government of Japan cooperated with the Atomic Energy Society of Japan to create a "Roadmap for Technology and Human Resou...

There is increasing recognition of the need to incorporate the complex and dynamic interactions between society and water in studies of water resource systems. The study of human-water dynamics requires the involvement of researchers from different disciplines, including hydrology and social science. This paper tracks recent trends in socio-hydrolo...

Water electrolysis for hydrogen production has received increasing attention, especially for accumulating renewable energy. Here, we comprehensively reviewed all water electrolysis research areas through computational analysis, using a citation network to objectively detect emerging technologies and provide interdisciplinary data for forecasting tr...

Fuel cells have been attracting significant attention recently as highly efficient and eco-friendly energy generators. Here, we have comprehensively reviewed all types of fuel cells using computational analysis based on a citation network that detects emerging technologies objectively and provides interdisciplinary data to compare trends. This comp...

The detection of emerging technologies is vital for R&D managers and policy makers; hence, the bibliometric approach to analyzing papers and patents was developed. In this study, we proposed a new method, the research classification schema (RCS). We used citation network analysis to classify technologies into four categories: change-maker, breakthr...

The Internet of Things (IoT) is expected to change society, although it is a general purpose technology and its concrete application, value, and feasibility are still obscure. In this study, we explored the plausible social issues to which IoT solutions can be applied. First, we extracted promising research areas of IoT by measuring text correlatio...

Resilience thinking has been widely used as a tool for interdisciplinary studies in addressing disturbance and change. However, not many studies have been taken to synthesize resilience as an interdisciplinary concept being applied across different disciplines and to investigate the common issues among them. This paper explores a conceptual framewo...

As robotics becomes ubiquitous, there is increasing interest in understanding how to develop robots that better respond to social needs, as well as how robotics impacts society. This is evidenced by the growing rate of publications on social robotics. In this article, we analyze the citation network of academic articles on social robotics to unders...

Funded research has been linked to academic production and performance. While the presence of funding acknowledgements may serve as an indicator of quality to some extent, we still lack tools to evaluate whether funding agencies allocate resources to novel and innovative research rather than mature fields. We address this issue in the present study...

The field of porous materials is widely spreading nowadays, and researchers need to read tremendous numbers of papers to obtain a "bird's eye" view of a given research area. However, it is difficult for researchers to obtain an objective database based on statistical data without any relation to subjective knowledge related to individual research i...

In social network analysis, advances in social networking and computing techniques have increasingly become a popular approach for extracting features and rules of real-world networks. The network language—\(G=\{V, E \}\) provides a common representation of various networks, where G, V, and E denote the system, components, and interactions, respect...

Endeavor to build sustainability science as a discipline during the last decade promoted interdisciplinary integration. This paper analyses the development of sustainability science during the decades and contribution of Sustainability Science journal. Based on our analysis, the specific contribution of Sustainability Science is to integrate differ...

In most supply chains (SCs), transaction relationships between suppliers and customers are commonly considered to be an extrapolation from a linear perspective. However, this traditional linear concept of an SC is egotistic and oversimplified and does not sufficiently reflect the complex and cyclical structure of supplier-customer relationships in...

The ecosystem concept is of increasing significance in the field of the management of technology and innovation. This paper provides an overview of 90 previous studies using the ecosystem concept in this field, all published in leading academic journals, and clarifies their four major research streams. The first stream is the industrial ecology per...

Regulation both promotes and suppresses innovation. Good regulation is effective in terms of realizing social values and objectives, and is efficient in promoting economic activities by minimizing direct and indirect costs. The use of alternatives rather than traditional prescriptive approaches has been encouraged, but is still the challenge of pol...

We proposed a method to help researchers create novel research ideas using bibliometrics. Different concepts and techniques exist in different research areas, and when the fields are sufficiently similar, a salient combination of two different areas can lead to the development of novel research. We have assumed that two different research areas, sh...

Computer-aided diagnosis (CAD) has been a promising area of research over the last two decades. However, CAD is a very complicated subject because it involves a number of medicine and engineering-related fields. To develop a research overview of CAD, we conducted a literature survey with bibliometric analysis, which we report here. Our study determ...

In this study, we propose an unconnected component inclusion technique (UCIT) for patent citation analysis. Our method generates a cluster solution that includes unconnected and connected components of a direct citation network, enabling a more complete analysis of the technology fields. Case studies of Internet of Things-related technologies were...

The Internet of Things (IoT) is expected to change society, although it is a general-purpose technology and its concrete application, value, and feasibility are still obscure. In this study, we explored plausible social issues to which IoT solutions can be applied. First, we extracted promising research areas of IoT by measuring text correlations b...

The detection of emerging technologies is vital for R&D managers and policymakers; hence, the bibliometric approach to analyzing papers and patents was developed. In this study, we proposed a new method, the research classification schema (RCS). We used citation network analysis to classify technologies into four categories: change-maker, breakthro...

Supply chain management represents one of the most important scientific streams of operations research. The supply of energy, materials, products, and services involves millions of transactions conducted among national and local business enterprises. To deliver efficient and effective support for supply chain design and management, structural analy...

Roadmaps, visions, and scenarios are different representations of certain aspects of thinking or perceptions of the future. Technology roadmaps have been used as a planning and management tool in industry and organizations. This book describes the current status of Japan’s energy system and roadmaps of energy technologies. In this chapter, we elabo...

This chapter illustrates energy policy in Japan before and after the disaster associated with the Fukushima nuclear power plant accident. In the Strategic Energy Plan approved by the Cabinet in June 2010, it was decided to increase dependence on renewable energies and nuclear power for electricity to about 70 % by 2030. After the accident, the plan...

Previous researchers of citation analysis often analyze patent data of a single authority because of the availability of the data and the simplicity of analysis. Patent analysis, on the other hand, is used not only for filing and litigation, but also for technology trend analysis. However, global technology trends cannot be understood only with the...

In the strategic management field, the ecosystem concept is increasing significance. This paper provides an overview of 90 previous studies on the ecosystem concept published in leading academic journals in strategic management field and clarifies the four major research streams. The first perspective is the industrial ecosystem perspective, which...

Some R&D projects generated from technological seeds produce potential applications in other fields. In many industries, huge amounts of public investment are spent continuously over long periods. Advanced technology with high levels of technology are required and achieved. Even in cases with projects that apparently failed, technological and econo...

Hydrogen energy is currently a major focus of a sustainable energy future across the world. Following a period of high expectations, prospects for a transition to hydrogen are now often presented in terms of the relative (short term) merits of hybrid and battery-electric verses hydrogen fuel cell vehicles. Whilst in the longer term aspects of these...

To detect unknown chances, several previous researches using text-based similarity are analyzed between different datasets – academic papers and patents in the same domain, papers about a social issue and a technical solution, and holding patents and patents of targeted market. In these researches, text-based analyses by fields are performed, but t...

Analyses by countries are in high demand, because many policy-makers and business-planners think by country. We are providing the system of citation network analysis, and we strengthen analyses by countries in this work. So, user will be able to easily extract country's keywords and compare text-based similarity and number of international co-autho...

Sustainability science is a rapidly expanding field, particularly given the current ecological crises facing many parts of the globe today. To generate a snapshot of the state of sustainability science, we analyzed the current status of sustainability research using citation and text analysis. By reflecting social needs on sustainability science an...

Detection of emerging technologies is vital for R&D managers and policy makers, and bibliometric approach analyzing papers and patents has been developed. In this research, we propose Research Classification Schema (RCS), which uses citation network analysis to classify technologies into four categories: Change-Maker, Breakthrough, Matured and Incr...

To survive worldwide competitions of research and development in the current rapid increase of information, decision-makers and researchers need to be supported to find promising research fields and papers. But finding those fields from an available data in too much heavy flood of information becomes difficult. We aim to develop a methodology suppo...

The detection of promising academic research is vital for firms in a variety of sectors. Bibliometric tools can be used to detect such research hidden in a pile of papers and patents; however, the relationship between academic research and industrial technology development has not been well documented. In this paper, we introduced patent relatednes...

One of the most important issues for intellectual property oriented country is early to recognize and to invest intensively in science or technology fields that will contribute to industrial development in future. The number of academic papers and patents is rapidly increasing so even specialists cannot keep up with all the events in their field. W...

This paper proposes the DB-Combination model that considers three different knowledge combinations in depth (D) and breadth (B) based on similarities of two technological knowledge domains. We also investigate three methodologies A1, A2 and A3 to highlight the three knowledge combinations. To identify technological knowledge domains, citation analy...

It is needed for a research institute to understand how the works of the institute contribute to the growth of different scientific domains. However there are not many methods to evaluate it. This paper create a landscape of scientific domains related to an aviation research institute, taking a bibliometrics approach and focusing on papers citing w...

In this chapter, the shared visions and the latest activities for sustainability in the aviation sector are presented and perspectives on the innovations that this sector should achieve are discussed. To do this, the latest experts’ talks are collected from four international meetings for aviation and the environment held around the world between S...

To survive worldwide competitions of research and development, decision-makers and researchers must detect the cutting-edge areas at the earlier stage. Now that computers enable us to process a large amount of data efficiently, bibliometric analysis can support decision-makers and researchers to invest into proper researches. We aim to find leading...

Section 2-1 illustrated the multidisciplinary characteristics of sustainability science and cited the importance of developing an interdisciplinary intellectual base through the structuring of knowledge. Knowledge definitely plays a critical role in the advancement of sustainability science. But it must be noted that a sustainable society can be ac...

The decision-making process that precedes the introduction of a new energy system should strive for a balance among human security, environmental safeguards, energy security, proliferation risk, economic risks, etc. For nuclear energy, the Fukushima Daiichi nuclear disaster (Fukushima disaster) has brought forth a strong need for transvaluation of...

To survive worldwide competitions of research and development in the current rapid increase of information, decision-makers and researchers need to be supported to find promising research fields and papers. To find an available data in too much heavy flood of information become difficult. We aim to find leading papers of the next generation with bi...

To survive worldwide competitions of research and development in the current rapid increase of information, decision-makers and researchers need to be supported to find promising research fields and papers. Finding a suitable data in too heavy flood of information is like looking for a needle in a haystack. We aim to find leading papers of the next...

Awareness is needed of sustainability issues that are currently neglected but potentially important. A computer-based approach can highlight unconscious and neglected areas because it can structure vast amounts of knowledge. In this article, we propose a methodology to perceive unconscious areas of sustainability with the support of a computer-base...

Academic landscape of innovation research was analyzed by citation network analysis, which was divided into three main clusters; with "technological innovation" as the central core together with "innovation fundamentals" and "innovation management". Historically, research on innovation started from innovation management, such as innovational organi...

This paper investigates Literature Based Discovery (LBD) approach to reveal linkages between technology and social issue to elucidate plausible contribution of science and technology for solving social issues. Robotics and gerontology were selected as an example in our analysis. The result shows various technological options of robotics contributin...

In this paper, we investigate the performance of different types of weighted citation networks for detecting emerging research fronts by a comparative study. Three citation patterns including direct citation, co-citation and bibliographic coupling, have been tested in three research domains including gallium nitride, complex networks, and nano-carb...

In some countries regional cluster policies are recognized as important policy to form effective knowledge networks. On the other hand, the methodology to evaluate these network structures is still under development. This paper clarifies that scope of the area significantly effects on the evaluation of regional network structure by using network an...

Online communication is an indispensable tool for communication and management. The network structure of communication is considered to affect team and individual performances, but it has not been not empirically tested. In this article, we collected a set of 1-month e-mail logs of a company and conducted an e-mail network analysis. We calculated t...