Mapping research on R&D,innovation and productivity: a study of an academic endeavour

ABSTRACT

This paper accounts for the development of the academic endeavour to determine the firm-level relationship between investments in R&D and productivity. The impact of 28 highly cited publications within this line of study is investigated using a combination of bibliometric techniques and citation function analysis. We show how the attention paid to this line of research broadens and deepens in parallel to the diffusion of innovation as a research theme during 2000s. Our findings also suggest that the attraction of scholarly attention is driven by combination of broadening interest in the central research question under study and boundary-pushing methodological contributions made in the key contributions.     

Tracking emerging technologies in energy research: Toward a roadmap for sustainable energy

Science and technology for renewable and sustainable energy are indispensable for our future society and economics. To meet the goal of sustainable energy development, there is a growing body of research efforts world wide. The planner of energy research has to grasp the broader coverage of scientific and technological research, and make decisions on effective investment in promising and emerging technologies especially under circumstances of limited resources. In this paper, we track emerging research domains in energy research by using citation network analysis. Our analysis confirms that the fuel cell and solar cell are rapidly growing domains in energy research. We further investigate the detailed structure of these two domains by clustering publications in these domains. Each citation cluster has characteristic research topics, and there is a variety of growth trends among the clusters. By using citation network analysis, we can track emerging research domains among a pile of publications efficiently and effectively.     

A predictive filtering approach for clarifying bibliometric datasets: an example on the research articles related to industry 4.0

ABSTRACT

This study proposes a filtering approach based on text classification and a fuzzy multi-criteria decision-making technique to select the relevant bibliometric data for further analyses in the scope of bibliometrics, scientometrics, and related methodologies. The proposed approach is illustrated on Industry 4.0 and internet of things which are the concepts that currently draw utmost attention with a growing number of research and applications. Accordingly, various findings are presented revealing the characteristics of the selected bibliometric data with the help of text and network analytics. The potential contribution of this study is two-fold such that the study not only suggests a novel approach for clarifying the retrieved bibliometric data but also emphasises the mainstream research areas and directions of Industry 4.0 along with the concept of the internet of things. Thus, an analysis framework with computing techniques has been used to reveal the characteristics of literature in a field of technology.     

Understanding the intellectual structure and evolution of Competitive Intelligence: a bibliometric analysis from 1984 to 2017

ABSTRACT

Competitive Intelligence (CI) is a relatively novel discipline that is generating a growing interest in the field of strategic management. Its novelty, approach and origin have meant that the definition of the CI entails different interpretations and utilities depending on the audience. This research develops a conceptual analysis of CI in literature by quantifying the bibliometric performance indicators, identifying the main authors, countries, journals and research areas and evaluating the intellectual structure and evolution of the discipline using SciMAT as bibliometric analysis software. The bibliometric performance analysis is focused on the citation-based impact of the scientific output, while the science mapping illustrates the evolution of the research themes that build the discipline through the use of bibliometric network analysis techniques. To this purpose, the publications related to CI from 1984 to 2017 available at Scopus have been retrieved (5,275 publications). Finally, it offers a framework to support future researches.     

Contributions to financial crisis research: an assessment of the literature in Social Science Citation Index journals from 1990 to 2008

Research in the field of financial crisis has generated a considerable amount of literature in the past, yet there has neither been any study to assess the contributions to the literature made by individuals or institutions, nor any to measure the impact of the articles and researchers. This study represents an attempt to: (1) investigate the major journals in publishing financial crisis research, (2) assess the contributions of individual researchers and institutions using the credited contribution approach and (3) measure the impact of individual publications and individual researchers on the financial crisis literature through citation analysis, based on the publications in Social Science Citation Index (SSCI) journals from 1990 to 2008. The findings provide a useful benchmark for assessing individual and institutional research productivity, and trends for future research and venues for publications are identified.     

National nanotechnology research prominence

A new bibliometric technique enables one to distinguish high emergence topical content. This technique can be applied to sets of research publication abstracts reflecting a given technical domain (here, nanotechnology) to score cutting edge research terms. The resulting high emergence terms warrant special consideration in setting R&D priorities. The researchers (individuals, organizations, or countries) whose publications address those emergent terms heavily deserve consideration as possible leaders in that technical domain. This paper studies nanotechnology research publications using the new emergence scoring in conjunction with established bibliometric publication and citation measures. Findings challenge U.S. superiority in cutting edge nanotechnology research. China shows strongest at addressing emergent nanotechnology topics, followed by the U.S., South Korea, India, and, surprisingly, Iran.     

Comparisons of the structure and infrastructure of Chinese and Indian Science and Technology

A comparison was made of the research output literatures of India and China. Both bibliometric and computational linguistics approaches were used in the comparison. China has rapidly outpaced India in both volume and citation performance of publications. China's rapid publication growth rate over the past two decades is continuing, while India's is re-starting after a relatively dormant period of almost two decades.     

No escape from the dominant theories: The analysis of intellectual pillars of technology management in developing countries

This paper aims to identify the intellectual bases of the technology management (TM) literature generated in developing countries using citation and co-citation analyses and answer the question of whether the intellectual bases of the TM literature created by authors in developing countries diverge from those of the global TM literature. Based on a comprehensive bibliometric analysis of ten technology-innovation management (TIM) specialty journals through the period of 1998-2007, this study produces three important findings. First, the TM literature generated in developing countries is dominated by the knowledge and theories created in developed countries. Second, among these knowledge sources some authors from developing countries and focusing on the specialties of developing countries, such as Kim and Lall, come into prominence; however these authors are not even mentioned in the previous bibliometric studies covering overall TM research. Finally the researchers in developing countries tackle with the issues or topics specific to their own context through combining three major bulks of literature. These are (i) resource-based view (RBV)/core competencies and organizational learning related research; (ii) literature dealing with the evolutionary theorizing on economic change and growth and (iii) literature related to technological capabilities, technology transfer and industrialization in developing countries.     

Services as drivers of economic growth. Is there an opportunity for Latin America countries?

ABSTRACT

Considering the recent improvements in services innovation and productivity performance, the aim of the article is to analyze if they can act as a new growth driver for Latin American countries. For that, we review the literature on services and structural change in two stages. First, we apply a bibliometric methodology to identify the main trends in literature. Second, we analyze in-depth a smaller set of papers in order to extract the main lessons regarding three aspects of our question: (i) services and productivity growth, (ii) new opportunities for innovation in services and (iii) relation between services and manufacturing through servitization process. The results show that productivity and innovation growth in services are concentrated in only a few branches. Besides this, services performance depends on their links with manufacturing activities. We conclude that the current Latin American servitization process clausure opportunities for developing instead of opening them.     

Structure of research on biomass and bio-fuels: A citation-based approach

Biomass and bio-fuels have gained a growing interest as sustainable and renewable energy. In this paper, we perform a citation network analysis of scientific publications to know the current structure of biomass and bio-fuel research. By clustering and visualizing the network, we revealed their taxonomic structure. Emerging technologies are detected by analyzing the average publication year of clusters. According to the results, bio-diesel and hydrogen production are the most rapidly developing domains among biomass bio-fuel researches. We also analyzed the position of each cluster in the global structure of research. By using citation counts within and out of the cluster, we categorized each cluster into the following four categories: (I) topic specific; (II) domain specific; (III) global link; and (IV) specific & global. For research domains of category (III) or (IV), it is difficult that single technology overcomes the current limitation of bio-energy productions. Research on lignocellulose feedstock is a typical case where knowledge from other scientific disciplines is necessary.     

互联网企业海外并购财务风险大数据预警研究——基于Stacking集成学习

数智化时代中国互联网企业海外并购强势崛起但风险巨大,机器学习与非财务信息可为此类风险预警提供新思路。在已有研究基础上,本文选取2013年-2020年期间45家中国互联网上市公司56起海外并购事件的大数据,构建Stacking集成学习模型进行大数据财务风险预警因子挖掘。结果表明,stacking集成学习模型相比其它机器学习模型的大数据预警效果更好；运营能力等传统型财务指标依然是互联网企业海外并购财务风险大数据预警的首选指标,但股吧评论等创新型非财务指标也具有重要预警价值。本研究提供了Stacking机器学习与利益相关者大数据信息有助于预警互联网企业海外并购财务风险的经验证据,为互联网企业、投资者、监管者等进行海外并购财务风险管控决策提供了重要参考。     

A Case Study of Pluralism in Economics: The Heterodox Glass Ceiling in Italy

ABSTRACT

Quantitative measures of supposed scientific ‘quality’ (or ‘impact’) based on bibliometric indicators are used as the primary or exclusive tools of research evaluation in a growing number of countries. The negative impact of this method of evaluation on pluralism in economic teaching and research has been documented in Italy, France, Australia and the United Kingdom. We provide new evidence for Italy by investigating the CVs and publications of all candidates for the ‘national scientific qualification’, which is needed to access all tenured Italian academic positions. With respect to past evidence, we focus on the homologation of research topics and methods as well as the delegitimization of particular publication outlets. Our analysis has relevant implications internationally. First, research evaluation aimed at identifying ‘excellence’ often boils down to (as in the case of Italy) the adoption of rankings of supposedly top journals, which systematically discriminate against heterodox journals. Second, the legitimacy of academic research published in the form of books and book chapters must be reclaimed. Third, heterodox economists risk discrimination not so much because of their methods or policy recommendations, but because of the topics and research fields they investigate.     

Exploring potential R&D collaboration partners through patent analysis based on bibliographic coupling and latent semantic analysis

The aim of the present research is to provide a new systematic methodology to explore potential Research and Development (R&D) collaboration partners using patent information. The potential R&D collaboration partners are visualised as a patent assignee level map based on technological similarity between patents by using the network analysis. The proposed framework utilises two analytic methods to measure technological similarity. The first method, bibliographic coupling analysis, measures technological similarity based on the citation relationship using patent bibliographic information. Second, latent semantic analysis is utilised based on semantic similarity using patent textual information. The fuel cell membrane electrode assembly technology field is selected and applied to illustrate the proposed methodology. The proposed approach allows firms, universities, research institutes and governments to identify potential R&D collaborators as a systematic decision-making support tool.     

Extracting the commercialization gap between science and technology — Case study of a solar cell

In this paper, we compared structures of the citation network of scientific publications with those of patents, and discussed the differences between them. A case study was performed in a solar cell to develop a method of detecting gaps between science and technology. Scientific research has tended to be more basic, especially in terms of cell design, whereas patents have focused on more applied technology used in solar cell modules. Of the major citation clusters of scientific publications, only two, namely silicon and compound solar cells, corresponded semantically with patent clusters. Conversely, there were no patent clusters corresponding to the other two scientific research fronts, namely dye-sensitized and polymer solar cells. These research areas could be regarded as opportunities for industrial commercialization because scientific activities exist but not technological applications. Our results could offer an intellectual basis for discovering potential opportunities for industrial commercialization.     

An exploration to visualise the emerging trends of technology foresight based on an improved technique of co-word analysis and relevant literature data of WOS

To explore the possible research fronts and emerging trends of technology foresight, through integrating co-occurrence of keywords and burst terms detection into an improved technique of co-word analysis based on the relevant literature in Web of Science is proposed. Based on the new analytical technique, the links among hot keywords, burst terms are probed, and the core literature related to the emerging trend or interdisciplinary researches are identified. Obviously, the attempts of new bibliometric method in this paper could be a valuable supplement to the traditional co-word analysis; meanwhile, it maybe is much more helpful for those interdisciplinary researchers.     

湿地美学的研究方法与进展：从心理物理 范式的视角考察

通过文献计量法对已有的科研成果进行统计分析, 验证湿地美学在景观美学心理物理范式中的研究意义。研究 结果表明：近40年,关于心理物理范式的湿地美学研究主 题的已发表文献数量显著增加,特别是从2000—2010年 达到峰值时开始呈指数增长,将近一半以上关于心理物理范 式的湿地美学研究内容的出版物都在2000年后出版。这些 出版物通常来自3个杂志： Journal of Environmental Management (环境管理杂志)、 Landscape and Urban Planning (景观与城市规划)和 Wetlands (湿地);通过四大 范式的分析比较,检选的136篇出版物在景观美学范式下提到 了湿地美学,其中大部分概念都是等义或近义的,验证了景观 美学范式同样也适用于湿地美学;在湿地美学研究中,有部分 文章跨越了一个以上的范式,其中心理物理范式的使用频率高 于其他3种范式,心理物理学范式的综合运用已经成为很多学 者的共识。最后从心理物理范式中对湿地美学未来的主要研究 趋势进行了展望,指出应该完善其理论体系,丰富其研究内 容,综合考虑公众态度对湿地美学研究的影响,以期为湿地空 间的可持续管理提供一定的理论依据,为湿地美学的进一步研 究提供一定的理论参考。     

Mapping of scientific patenting: toward the development of ‘J-GLOBAL foresight’

The Japan Science and Technology Agency (JST) is in the process of building knowledge infrastructure by means of linking accumulated information assets to a variety of databases. It does not aim to develop knowledge data infrastructure based on proprietary format, but on an international standard format. JST is also in the process of creating ‘J-GLOBAL foresight’ [http://foresight.jst.go.jp (accessed June 2012)] in order to match up a variety of data such as results and indices of bibliometric analysis as well as of patent analysis derived from the knowledge infrastructure with applications like Google Maps and facilitate the visualisation of business information. This will contribute to help companies and institutions formulate business strategy based on the information obtained in the future. The former aims to be the bibliographic information version of the Data.gov, which discloses government data from the USA, while the latter seeks to be the Data-gov wiki version, which provides a demonstration by matching up governmental data with applications such as Google Maps.     

创新生态系统的理论演进与热点前沿：一项文献计量分析研究

本文利用CiteSpace对Web of Science数据库中2001—2018年关于创新生态系统领域的已有研究进行文献计量分析。基于主题词共现分析结果,本文首先对创新生态系统的基础研究进行系统性梳理;其次,本文进一步追踪该领域2016—2018年期间的最新文献及其相关引用情况,基于文献共被引分析结果,归纳了三大研究前沿热点:"生态系统"反思及补充、系统风险预测及应对、系统成员行为与微观治理机制;最后,文章瞄准现有研究存在的不足,对未来研究提出合适的探索方向。     

Agent-based modelling as a foundation for big data

In this article, we propose a process-based definition of big data, as opposed to the size- and technology-based definitions. We argue that big data should be perceived as a continuous, unstructured and unprocessed dynamics of primitives, rather than as points (snapshots) or summaries (aggregates) of an underlying phenomenon. Given this, we show that big data can be generated through agent-based models but not by equation-based models. Though statistical and machine learning tools can be used to analyse big data, they do not constitute a big data-generation mechanism. Furthermore, agent-based models can aid in evaluating the quality (interpreted as information aggregation efficiency) of big data. Based on this, we argue that agent-based modelling can serve as a possible foundation for big data. We substantiate this interpretation through some pioneering studies from the 1980s on swarm intelligence and several prototypical agent-based models developed around the 2000s.     

On the economics of R&D and technological collaborations: Insights and results from the project colline

Research collaborations involve co-production and exchange of knowledge across organisational boundaries. They involve governance of intellectual property rights and partners' use of collectively produced knowledge. The principal findings arise from case studies of consortia governance in biotechnology and software and substantial variety in arrangements is identified. This variety may be explained by the appropriability of knowledge in particular research domains as well as by the nature of the knowledge generated. Consequences of governance rules are explored for European research consortia and for collective standards making activities. The analysis indicates several policy conclusions: government policy has an important role in overcoming market failures in consortia formation; adoption of any uniform intellectual property rights model for consortia would be likely to reduce research productivity; policies aimed at stimulating consortia formation must take account of the nature of knowledge that is to be exchanged.