Search results

The purpose of this paper is to visualize the structure of SCImago Journal & Country Rank (SJR) coverage of the extensive citation network of Scopus journals, examining this bibliometric portal through an alternative approach, applying clustering and visualization techniques to a combination of citation-based links.

Three SJR journal-journal networks containing direct citation, co-citation and bibliographic coupling links are built. The three networks were then combined into a new one by summing up their values, which were later normalized through geo-normalization measure. Finally, the VOS clustering algorithm was executed and the journal clusters obtained were labeled using original SJR category tags and significant words from journal titles.

The resultant scientogram displays the SJR structure through a set of communities equivalent to SJR categories that represent the subject contents of the journals they cover. A higher level of aggregation by areas provides a broad view of the SJR structure, facilitating its analysis and visualization at the same time.

This is the first study using Persson’s combination of most popular citation-based links (direct citation, co-citation and bibliographic coupling) in order to develop a scientogram based on Scopus journals from SJR. The integration of the three measures along with performance of the VOS community detection algorithm gave a balanced set of clusters. The resulting scientogram is useful for assessing and validating previous classifications as well as for information retrieval and domain analysis.

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.

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.

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.

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.

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.

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.

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.

The purpose of this paper is to synthesize trends, issues, and policies related to development using a database of Searchlight reports. The paper seeks to utilize three techniques – conceptual tree visualizations to uncover patterns impacting regional development; network analysis to compare and contrast urbanization in South Asia and Southern Africa; and sentiment analysis to assess various sectors of development that elicit positive and negative reactions.

The paper presents a synthesis based on a unique database that was developed using a novel scoring scheme to quantify the development concepts presented in 312 Searchlight articles in a period between September 2009 and December 2010.

Primary and secondary concepts define an ontology that can be visualized to provide an overall synthesis of a subset of the Searchlight database. Social issues were significant in Asia, climate change narrative in Africa, and governance in Latin America. In terms of sentiments, negative sentiments tended to overshadow optimism. However, technology and knowledge was seen as a panacea along with social entrepreneurship in some regions of Asia. There is also a realization that newer issues related to climate change, resource and energy depletion, food insecurity and the current financial crisis will exacerbate present difficult conditions.

The paper suggests that qualitative data presented in various articles could be synthesized and visualized using data mining techniques. This methodology provides a comprehensive way to capture knowledge and insights provided by development experts to coherently share and discuss the multitude of common global challenges of the twenty‐first century.

The visualizations and data mining techniques are developed for this study context. The approach can add value by tracking and monitoring current and emerging trends relevant to the Foundation's strategic framework, operational initiatives, and areas of work. Parts of this paper have been presented in a previous publication (see www.bu.edu/pardee/publications‐library/connecting‐the‐dots/).

Over the last few decades, more emphasis has been placed on those innovations that can reconcile economic, social and environmental goals in order to achieve a “win-win-win” situation. This paper aims to systematise the scientific literature on Sustainable Innovation as a broad field in order to identify the most relevant scholars and their significant contributions as well as existing lines of research. Finally, future research directions are suggested.

A novel methodology, the Systematic Literature Network Analysis, has been applied. By using a dynamic approach to the traditional Systematic Literature Review, the present review investigates the creation, transfer, and development of knowledge throughout the epistemic community of Sustainable Innovation.

Starting from a sample of 1,108 articles, the critical assessment of the results detected five main themes: (1) “the role of Regulation, Market and Technology”; (2) “Eco-Innovation determinants and firm specific factors and the debate between corporate environmental performance and corporate financial performance”; (3) “Green innovation and internal and external drivers”; (4) “The strategic determinants of green (non-green) innovation”; (5) “The interplay between policy, regulations and the green innovation”.

From a practitioner's perspective, this study provides an objective view on the current internal, external drivers and strategic determinants of sustainability-oriented innovations and relevant studies that can guide managers in their decision-making processes and enhance sustainable innovation performance.

This study is a first attempt to unveil the evolution of knowledge in the field of sustainable innovation by utilizing bibliometric tools.