Towards a Triple Helix based efficiency index of innovation systems

Scientometrics - This article presents a novel application of a two-phase Data Envelopment Analysis (DEA) for evaluating the efficiency of innovation systems based on the Triple Helix...     

Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective

This contribution explores how work on Triple Helix (TH) indicators has evolved. Over the past 15 years a body of literature has emerged that brings together a variety of approaches to capture, map or measure the dynamics of TH relationships. We apply bibliographic coupling and co-citation in combination with content analysis to develop a better understanding of this literature. We identify several clusters that can be aggregated to two broad streams of work—one ‘neo-evolutionary’, the other ‘neo-institutional’ in nature. We make this observation both for bibliographic coupling and co-citation analyses which we take as indication of an emerging differentiation of the field. Our content analysis underlines this observation about the ‘two faces’ of the TH. We conclude this paper with a discussion of future opportunities for research. We see great potential in developing the application side of TH indicators.     

A surname-based patent-related indicator: the contribution of Jewish inventors to US patents

It was found that the surname-based representation of Jewish authors in the top US biomedical journals corresponds to the representation of Jewish Nobel Laureates in Medicine among US laureates: Both of them are almost equally disproportionately high, with the ratio of actual to expected number close to 20 (Kissin, Scientometrics 89:273–280, 2011). The main aim of this study was to determine whether the contribution of Jewish inventors is also disproportionately high. The number of patents (US Patent and Trademark Office database) per thousand persons with the same surname (2000 Census) was determined (index P). Index P was compared with index A, which represents the number of the articles in the top US biomedical journals, and index G, which is based on the representation of a surname in the Google’s option “Discussions”, reflecting a combination of various business and leisure activities (designed as a negative control). The collective contributions of the 96 Jewish surname groups for each of the above indices were calculated. The ratio of actual to expected number of US patents was found to be disproportionately high—6.1 (p < 0.0001). At the same time, this disproportionality was four-fold lower than that related to biomedical articles (ratio of 6.1 vs. 23.3, p < 0.0001). There was some degree of correlation between index P and index A (r = 0.407, p < 0.0001), but no significant correlation was found between index P and index G. The role of various factors in the observed disproportionalities is discussed. The greater degree of disproportionality with biomedical research articles might be a consequence of traditional Jewish inclination towards occupations in medicine.     

Deciphering innovation: An exploration of USPTO patents granted to Iranian inventors

Since nearly a decade ago, Iranian policy circles have declared innovation and development of science-based industries as a priority area. This paper utilizes the emerging Iranian patent stock in the USPTO to ascertain progress on this front. Results indicate that there are policy traces in the emerging patent portfolio as proxied by sponsorship statements in 28% of all patents. However, there is little evidence of technological specialization. Breaking down the portfolio into foreign-assigned, Iranian-assigned, unassigned and Iranian-sponsored patents, indicates that foreign-assigned, followed by Iranian-assigned patents are of higher quality and potential value. Nearly half of the patents are unassigned and 40% are assigned to foreign entities. Lack of ownership assignment can be a hurdle to effective exploitation, defense and maintenance of patents. The analysis is concluded by relevant policy lessons.     

A comparison of the knowledge-based innovation systems in the economies of South Korea and the Netherlands using Triple Helix indicators

Summary This paper elaborates on the Triple Helix model for measuring the emergence of a knowledge base of socio-economic systems. The ‘knowledge infrastructure’ is measured using multiple indicators: webometric, scientometric, and technometric. The paper employs this triangulation strategy to examine the current state of the innovation systems of South Korea and the Netherlands. These indicators are thereafter used for the evaluation of the systemness in configurations of university-industry-government relations. South Korea is becoming somewhat stronger than the Netherlands in terms of scientific and technological outputs and in terms of the knowledge-based dynamics; South Korea’s portfolio is more traditional than that of the Netherlands. For example, research and patenting in the biomedical sector is underdeveloped. In terms of the Internet-economy, the Netherlands seem oriented towards global trends more than South Korea; this may be due to the high component of services in the Dutch economy.     

Inventor collaboration over distance: a comparison of academic and corporate patents

Patenting is often done in collaboration with other inventors to integrate complementary and additional knowledge. The paper takes a spatial view of this issue and analyses the distances between inventors of German patents. We compare the distances between invention teams of German patent applications from 1993–2006 and distinguish between academic and corporate teams and those consisting of researchers from both domains (‘mixed teams’). Due to their different institutional backgrounds different types of proximity guide their spatial search for partners. The basic finding is that regional collaboration clearly prevails. However, the distance between collaborating inventors of corporate patents exceeds that of inventors of academic patents, but the largest distances can be found in science–industry collaborative patents. When excluding directly neighboured collaboration, which is likely to be in-house collaboration, the differences between academic and corporate teams vanish, but mixed teams still overcome longer distances.     

Exploring the “value” of academic patents: IP management practices in UK universities and their implications for Third-Stream indicators

Third-Stream activities have become increasingly important in the UK. However, valuing them in a meaningful way still poses a challenge to science and technology analysts and policy makers alike. This paper reviews the general literature on “patent value” and assesses the extent to which these established measures, including patent citation, patent family, renewal and litigation data, can be applied to the university context. Our study examines indicators of patent value for short and mid-term evaluation purposes, rather than indicators that suffer from long time lags. We also explore the extent to which differences in IP management practices at universities may have an impact on the validity and robustness of possible indicators. Our observations from four UK universities indicate that there are considerable differences between universities as to how they approach the IP management process, which in turn has implications for valuing patents and how they track activity in this area. In their current form, data as collected by universities are not sufficiently robust to serve as the basis for evaluation or resource allocation.     

Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators

This study investigates the role of Twitter in political deliberation and participation by analyzing the ways in which South Korean politicians use Twitter. In addition, the study examines the rise of Twitter as user-generated communication system for political participation and deliberation by using the Triple Helix indicators. For this, we considered five prominent politicians, each belonging to one of four political parties, by using data collected in June 2010. The results suggest that non-mainstream, resource-deficient politicians are more likely to take advantage of Twitter’s potential as an alternative means of political participation and that a small number of Twitter users lead political discourse in the Twittersphere. We also examined the occurrence and co-occurrence of politicians’ names in Twitter posts, and then calculate entropy values for trilateral relationships. The results suggest that the level of political deliberation, expressed in terms of the level of balance in the communication system, is higher when politicians with different political orientations form the trilateral relationships.     

Scientometrics and communication theory: Towards theoretically informed indicators

The theory of citations should not consider cited and/or citing agents as its sole subject of study. One is able to study also the dynamics in the networks of communications. While communicating agents (e.g., authors, laboratories, journals) can be made comparable in terms of their publication and citation counts, one would expect the communication networks not to be homogeneous. The latent structures of the network indicate different codifications that span a space of possible “translations”. The various subdynamics can be hypothesized from an evolutionary perspective. Using the network of aggregated journal-journal citations inScience & Technology Studies as an empirical case, the operation of such subdynamics can be demonstrated. Policy implications and the consequences for a theory-driven type of scientometrics will be elaborated.     

A Vector Space Model as a methodological approach to the Triple Helix dimensionality: A comparative study of Biology and Biomedicine Centres of two European National Research Councils from a Webometric view

The aim of this paper is to propose a Vector Space Model as a new methodological approach which allows us to present the relationships between the elements of the Triple Helix Model (University, Industry, Government) in a spacial model by using the webpages of the National Research Councils of Germany and Spain as examples. Outlinks of the Biomedicine and Biology centres of these national councils were analysed with the intention of representing graphically these relationships through the Vector Space Model that allows for Multidimensional Scaling in three dimensions. Results show a map with the differences and similarities between the Spanish and German cases. It may be concluded that these results could become a qualitative indicator of a scientific and technical reality.     

A hybrid keyword and patent class methodology for selecting relevant sets of patents for a technological field

This paper presents a relatively simple, objective and repeatable method for selecting sets of patents that are representative of a specific technological domain. The methodology consists of using search terms to locate the most representative international and US patent classes and determines the overlap of those classes to arrive at the final set of patents. Five different technological fields (computed tomography, solar photovoltaics, wind turbines, electric capacitors, electrochemical batteries) are used to test and demonstrate the proposed method. Comparison against traditional keyword searches and individual patent class searches shows that the method presented in this paper can find a set of patents with more relevance and completeness and no more effort than the other two methods. Follow on procedures to potentially improve the relevancy and completeness for specific domains are also defined and demonstrated. The method is compared to an expertly selected set of patents for an economic domain, and is shown to not be a suitable replacement for that particular use case. The paper also considers potential uses for this methodology and the underlying techniques as well as limitations of the methodology.     

Editorial: Triple Helix and innovation in Asia using scientometrics,webometrics, and informetrics

There is a burgeoning interest among academic scientists and policy-makers in the development and employment of TH (Triple Helix) and WSI (Webometrics, Scientometrics, and Informetrics) research methods. However, the international literature has not systematically examined TH and WSI approaches in an Asian context. Furthermore, previous literature published in international journals does not adequately address the social forces shaping TH development in Asia. Therefore, the purpose of this special issue is to bring researchers together to discuss university-industry-government (U-I-G) relations and innovation diffusion in Asia employing WSI alongside other methods.     

Visualization of patents and papers in terahertz technology: a comparative study

Terahertz technology is one of the most promising research areas in the 21st century. In this work, we intend to compare the research status quo on terahertz technology between 1990 and 2010 using knowledge domain visualization techniques. Our data consists of 633 patents retrieved from Aureka management platform and 10,344 journal articles indexed in the ISI web of knowledge. Our analysis is a combination of two information visualization tools for analysis, Aureka and CiteSpace. Aureka is allowed for the analysis of patents filed/granted each year, priority country, inventors, assignees, citation counting, and cluster analysis, while networks of co-authors, countries, institutions, document co-citation networks and document co-citation clusters, are performed by CiteSpace. This research provides a comprehensive domain visualization map of innovation and knowledge in the area of terahertz technology. Our result shows that Aureka and CiteSpace are two promising visualization approaches to analyze patents and papers in any given field.     

The mutual information of university-industry-government relations: An indicator of the Triple Helix dynamics

University-industry-government relations provide a networked infrastructure for knowledge-based innovation systems. This infrastructure organizes the dynamic fluxes locally and the knowledge base remains emergent given these conditions. Whereas the relations between the institutions can be measured as variables, the interacting fluxes generate a probabilistic entropy. The mutual information among the three institutional dimensions provides us with an indicator of this entropy. When this indicator is negative, self-organization can be expected. The self-organizing dynamic may temporarily be stabilized in the overlay of communications among the carrying agencies. The various dynamics of Triple Helix relations at the global and national levels, in different databases, and in different regions of the world, are distinguished by applying this indicator to scientometric and webometric data.     

A longitudinal study of academic webs: Growth and stabilisation

As the web is continuously changing, perhaps growing exponentially since its inception, a major potential problem for webometrics is that web statistics may be obsolete by the time they are published in the academic literature. It is important therefore to know as much as possible about how the web is changing over time. This paper studies the UK, Australian and New Zealand academic webs from 2000 to 2005, finding that the number of static pages and links in each of the three academic webs appears to have stabilised as far back as 2001. This stabilisation may be partly due to increases in dynamic pages which are normally excluded from webometric analyses. Nevertheless, the results are encouraging evidence that webometrics for academic spaces may have a longer-term validity than would have been previously assumed.     

The scientometrics of a Triple Helix of university-industry-government relations (Introduction to the topical issue)

We distinguish between an internal differentiation of science and technology that focuses on instrumentalities and an external differentiation in terms of the relations of the knowledge production process to other social domains, notably governance and industry. The external contexts bring into play indicators and statistical techniques other than publications, patents, and citations. Using regression analysis, for example, one can examine the importance of knowledge and knowledge spill-over for economic development. The relations can be expected to vary among nations and regions. The field-specificity of changes is emphasized as a major driver of the research agenda. In a knowledge-based economy, institutional arrangements can be considered as support structures for cognitive developments.     

National research profiles in a changing Europe (1983–2003) An exploratory study of sectoral characteristics in the Triple Helix

Eight Eastern European countries joined the European Union in 2004. In this paper, bibliometric methods are used to analyse if the integration of these countries into the EU was accompanied by corresponding changes in their sectoral research profiles. In addition, the authors discuss changes in the national profiles of three accession countries and three EU15 member states during the last two decades. The results confirm that a process of European homogenisation and convergence is taking place, but also show that this process is slow and that member countries have maintained their individual peculiarities and preferences during this evolution.