Daniele Rotolo

Bibliometric perspectives on medical innovation using the medical subject Headings of P ub M ed

Multiple perspectives on the nonlinear processes of medical innovations can be distinguished and combined using the Medical Subject Headings (MeSH) of the MEDLINE database. Focusing on three main branches—“diseases,” “drugs and chemicals,” and “techniques and equipment”—we use base maps and overlay techniques to investigate the translations and interactions and thus to gain a bibliometric perspective on the dynamics of medical innovations. To this end, we first analyze the MEDLINE database, the MeSH index tree, and the various options for a static mapping from different perspectives and at different levels of aggregation. Following a specific innovation (RNA interference) over time, the notion of a trajectory which leaves a signature in the database is elaborated. Can the detailed index terms describing the dynamics of research be used to predict the diffusion dynamics of research results? Possibilities are specified for further integration between the MEDLINE database on one hand, and the Science Citation Index and Scopus (containing citation information) on the other.

Determinants of Patent Citations in Biotechnology: An Analysis of Patent Influence Across the Industrial and Organizational Boundaries

The present paper extends the literature investigating key drivers leading certain patents to exert a stronger influence on the subsequent technological developments (inventions) than other ones. We investigated six key determinants, as (i) the use of scientific knowledge, (ii) the breadth of the technological base, (iii) the existence of collaboration in patent development, (iv) the number of claims, (v) the scope, and (vi) the novelty, and how the effect of these determinants varies when patent influence — as measured by the number of forward citations the patent received — is distinguished as within and across the industrial and organizational boundaries. We conducted an empirical analysis on a sample of 5,671 patents granted to 293 US biotechnology firms from 1976 to 2003. Results reveal that the contribution of the determinants to patent influence differs across the domains that are identified by the industrial and organizational boundaries. Findings, for example, show that the use of scientific knowledge negatively affects patent influence outside the biotechnology industry, while it positively contributes to make a patent more relevant for the assignee’s subsequent technological developments. In addition, the broader the scope of a patent the higher the number of citations the patent receives from subsequent non-biotechnology patents. This relationship is inverted U-shaped when considering the influence of a patent on inventions granted to other organizations than the patent’s assignee. Finally, the novelty of a patent is inverted-U related with the influence the patent exerts on the subsequent inventions granted across the industrial and organizational boundaries.

The impact of old technologies on innovation: the case of the US biotechnology industry

This paper investigates the implications of a technology sourcing strategy maintaining a focus on the rediscovery of old technologies. Specifically, we study the different impact exerted by old technological solutions, distinguished on the basis of their organisational and industrial origins, on the innovation value. We develop a set of hypotheses about the impact exerted by four distinct types of old technological solutions (firm core technological heritage, firm lateral technological heritage, competitors’ technological heritage and others’ technological heritage) and test them on a sample of 1189 biotechnology patents registered at the US Patent and Trademark Office from 1979 to 2002. Results strongly support our hypotheses, revealing that: (1) using both firm core technological heritage and others’ technological heritage has an inverted U-shaped effect on innovation value; (2) employing firm lateral technological heritage is positively related to innovation value; (3) a negative relationship occurs between competitors’ core technological heritage and the value of subsequent innovations.

A Triple Helix Model of Medical Innovation: Supply, Demand, and Technological Capabilities in Terms of Medical Subject Headings

We develop a model of innovation that enables us to trace the interplay among three key dimensions of the innovation process: (i) demand of and (ii) supply for innovation, and (iii) technological capabilities available to generate innovation in the forms of products, processes, and services. Building on triple helix research, we use entropy statistics to elaborate an indicator of mutual information among these dimensions that can provide indication of reduction of uncertainty. To do so, we focus on the medical context, where uncertainty poses significant challenges to the governance of innovation. We use the Medical Subject Headings (MeSH) of MEDLINE/PubMed to identify publications within the categories “Diseases” (C), “Drugs and Chemicals” (D), “Analytic, Diagnostic, and Therapeutic Techniques and Equipment” (E) and use these as knowledge representations of demand, supply, and technological capabilities, respectively. Three case-studies of medical research areas are used as representative ‘entry perspectives’ of the medical innovation process. These are: (i) human papilloma virus, (ii) RNA interference, and (iii) magnetic resonance imaging. We find statistically significant periods of synergy among demand, supply, and technological capabilities (C-D-E) that point to three-dimensional interactions as a fundamental perspective for the understanding and governance of the uncertainty associated with medical innovation. Among the pairwise configurations in these contexts, the demand–technological capabilities (C-E) provided the strongest link, followed by the supply–demand (D-C) and the supply–technological capabilities (D-E) channels.

Strategic intelligence on emerging technologies: Scientometric overlay mapping

This paper examines the use of scientometric overlay mapping as a tool of “strategic intelligence” to aid the governing of emerging technologies. We develop an integrative synthesis of different overlay mapping techniques and associated perspectives on technological emergence across geographical, social, and cognitive spaces. To do so, we longitudinally analyze (with publication and patent data) three case studies of emerging technologies in the medical domain. These are RNA interference (RNAi), human papillomavirus (HPV) testing technologies for cervical cancer, and thiopurine methyltransferase (TPMT) genetic testing. Given the flexibility (i.e., adaptability to different sources of data) and granularity (i.e., applicability across multiple levels of data aggregation) of overlay mapping techniques, we argue that these techniques can favor the integration and comparison of results from different contexts and cases, thus potentially functioning as a platform for “distributed” strategic intelligence for analysts and decision makers.

Innovation as a nonlinear process, the scientometric perspective, and the specification of an ‘innovation opportunities explorer’

The process of innovation follows nonlinear patterns across the domains of science, technology, and the economy. Novel bibliometric mapping techniques can be used to investigate and represent distinctive, but complementary perspectives on the innovation process (e.g. ‘demand’ and ‘supply’) as well as the interactions among these perspectives using animations. In a map, the different perspectives can be represented as ‘continents’ of data related to varying extents over time. For example, the different branches of Medical Subject Headings (MeSH) in the Medline database provide sources of such perspectives (e.g. ‘Diseases’ vs ‘Drugs and Chemicals’). The multiple-perspective approach enables us to reconstruct facets of the dynamics of innovation, in terms of selection mechanisms shaping localisable trajectories and/or resulting in more globalised regimes. By expanding the data with patents and scholarly publications, we demonstrate the use of this multi-perspective approach in the case of RNA Interference (RNAi). The possibility to develop an ‘Innovation Opportunities Explorer’ is specified.

Journal portfolio analysis for countries, cities, and organizations: Maps and comparisons

Using Web of Science data, portfolio analysis in terms of journal coverage can be projected onto a base map for units of analysis such as countries, cities, universities, and firms. The units of analysis under study can be compared statistically across the 10,000+ journals. The interdisciplinarity of the portfolios is measured using Rao‐Stirling diversity or Zhang et al.s improved measure 2D3. At the country level we find regional differentiation (e.g., Latin American or Asian countries), but also a major divide between advanced and less‐developed countries. Israel and Israeli cities outperform other nations and cities in terms of diversity. Universities appear to be specifically related to firms when a number of these units are exploratively compared. The instrument is relatively simple and straightforward, and one can generalize the application to any document set retrieved from the Web of Science (WoS). Further instruction is provided online at http://www.leydesdorff.net/portfolio.

Institutional diversity, internal search behaviour, and joint-innovations: evidence from the U.S. biotechnology industry

Purpose – The purpose of this paper is to investigate the innovation performance of R&D collaborations from an institutional perspective. Design/methodology/approach – The authors conduct an empirical analysis based on 487 joint-inventions developed by 50 US biotechnology firms from 1985 to 2002. Findings – The authors find that institutional diversity between the partners, as reflected by firm-university partnerships, positively affects the value of their joint-innovation. This effect is reinforced by the firm’s behaviour in searching for knowledge broadly (scope) and in the non-commercial realm (science-based nature). Conversely, as the firm searches for knowledge in few domains areas (depth), the positive effect of institutional diversity is reduced. Research limitations/implications – The study contributes to literature on partner selection, university-industry collaborations, balance between exploration and exploitation, as well as to research on the interdependence between firm’s external and internal resources. Practical implications – The study reveals that when firms innovate together with universities, this promotes the development of high valuable innovations. In addition, it emerges that to fully capture the benefits of these collaborations, firms have to develop a wide set of competencies supported by a scientific approach in problem solving. Originality/value – The study sheds new light on the dynamics favouring the joint development of valuable innovations by focusing on the impact exerted by partners’ institutional differences, as revealed by how norms and rules shape innovation’s modes.

Exploring and exploiting through external sources: the effect of learning and technological proximity

In this paper, we investigate how the different types of external learning performed by organisations, i.e., interaction and imitation, and their technological proximity with external sources affect exploration and exploitation. Specifically, analysing the last 250 patents registered by Toyota Motor Corp. at the European Patent Office, we find that exploration is favoured by interactive learning mechanisms and technological diversity between knowledge source and recipient. On the contrary, learning by interaction and similarity between technological competencies and capabilities are more suitable for exploitative research activities.

An Exploratory Study of the Role of Publishing Inventors in Nanotechnology

Social network theory and analytic tools have been increasingly used to examine the interaction between science and technology. Recently, researchers have paid attention to the role of publishing inventors, that is, individuals bridging the collaborative networks between authors (co-authorship network) and inventors (co-invention network). Building on this research, we study how publishing inventors’ structural position in the joint co-authorship and co-invention network affects the quality of the inventions to which they contribute. Specifically, we identify publishing inventors who play a pivotal role in holding the two networks together: their removal not only increases the network fragmentation but also disconnects the joint co-authorship and co-invention network. We define these publishing inventors as cutpoints and find them to contribute to inventions of greater quality. We situate the analysis within the context of the emerging field of nanotechnology. The theoretical and managerial implications of the results are discussed.