Bibliometric cartography of information retrieval research by using co-word analysis

The aim of this study is to map the intellectual structure of the field of Information Retrieval (IR) during the period of 1987-1997. Co-word analysis was employed to reveal patterns and trends in the IR field by measuring the association strengths of terms representative of relevant publications or other texts produced in IR field. Data were collected from Science Citation Index (SCI) and Social Science Citation Index (SSCI) for the period of 1987-1997. In addition to the keywords added by the SCI and SSCI databases, other important keywords were extracted from titles and abstracts manually. These keywords were further standardized using vocabulary control tools. In order to trace the dynamic changes of the IR field, the whole 11-year period was further separated into two consecutive periods: 1987-1991 and 1992-1997. The results show that the IR field has some established research themes and it also changes rapidly to embrace new themes

A Methodology for Identifying Core Technologies Based on Technological Cross-Impact: Association Rule Mining and ANP Approach

There have been attempts to examine technological structure and linkage as technological impact. Cross-impact analysis (CIA) has been mainly employed with cross-impact index to identify core technologies. Cross-impact index, however, cannot successfully capture the overall relationship based on the impacts among technologies. Furthermore, it is a time-consuming task to calculate all cross-impact index especially based on patents without developing computer program. To address this limitation, this study suggests new approach to identify core technologies in technological cross-impact interrelationship. Specially, the approach applied data mining technique and multi-criteria decision making (MCDM) method to the co-classification information of registered patents. At first, technological cross-impact matrix is constructed with the confidence values by applying association rule mining (ARM) to the co-classification information of patents. Then, Analytic Hierarchical Process (ANP), one of MCDM methods, is employed to the constructed matrix for identifying core technologies from the perspectives of overall cross-impacts. A case study of telecommunication technology is conducted to illustrate the process of executing and utilizing the proposed approach. It is expected that suggested approach could help technology planners to formulate strategy and policy for technological innovation

The emergence of new technologies in the ICT field: main actors, geographical distribution and knowledge sources

This paper examines the emergence of technologies, applications and platforms in the area of information and communication technologies (ITC), using patent data. It detects new technologies/applications/products using patents' abstracts and describes them looking at their degree of "hybridisation", in terms of technological domains and knowledge base, at the role of firms in driving the innovation activity, and at the geographical distribution of the innovation. The results show that in emerging technologies in ITC are more concentrated across technological classes and across firms than non emerging ones, and that this pattern is invariant across major countries. Furthermore, a preliminary analysis on patent citations show that in emerging technologies knowledge sources are more specific in terms of technological classes and more dispersed in terms of cited institutions. Also there is evidence of a role for universities and public research centres as sources of knowledge

Patent citation analysis with Google

This is an accepted manuscript of an article published by Wiley-Blackwell in Journal of the Association for Information Science and Technology on 23/09/2015, available online: https://doi.org/10.1002/asi.23608 The accepted version of the publication may differ from the final published version.Citations from patents to scientific publications provide useful evidence about the commercial impact of academic research, but automatically searchable databases are needed to exploit this connection for large-scale patent citation evaluations. Google covers multiple different international patent office databases but does not index patent citations or allow automatic searches. In response, this article introduces a semiautomatic indirect method via Bing to extract and filter patent citations from Google to academic papers with an overall precision of 98%. The method was evaluated with 322,192 science and engineering Scopus articles from every second year for the period 1996–2012. Although manual Google Patent searches give more results, especially for articles with many patent citations, the difference is not large enough to be a major problem. Within Biomedical Engineering, Biotechnology, and Pharmacology & Pharmaceutics, 7% to 10% of Scopus articles had at least one patent citation but other fields had far fewer, so patent citation analysis is only relevant for a minority of publications. Low but positive correlations between Google Patent citations and Scopus citations across all fields suggest that traditional citation counts cannot substitute for patent citations when evaluating research

Making knowledge visible: Using expert yellow pages to map capabilities in professional services firms

Accepted versio

Developing framework for capabilities related to supporting management discipline that contributes to r&d in public organizations of Pakistan

Research and development R&D under the boundaries of management scope has become a crucial aspect for individual, organizational and global level. R&D has long considered as a top priority for developing countries. However, R&D across developing countries confronts vital deficiencies in classifying capabilities to address capability failure issue. As result of such problem, there is potential demand among public organizations for creating theoretical model dealing R&D at organizational level. The prime objective of this research is to classify the capabilities related to supporting management discipline that adds their influence on R&D, To analyze the interrelationship among the capabilities related to supporting management discipline for R&D in Pakistan Public Organizations and To prioritize the capabilities that involve at R&D in public organizations based on their interdependency in case of Pakistan . To accomplish the primary objective, the research comprise on theoretical and empirical studies: General literature review; Systematic literature review gathering capabilities related to supporting management disciplines that involve in R&D; Focus group discussion applied for refining capabilities under country-specific view; Applying proposed model in case of Pakistan public organization to reconfigure R&D orientation to confront future challenges. Competitive progression in any R&D firm does have cross-cultural implication specific to country within which the R&D functioned since is this study draw the case of R&D in Pakistan public organization. Therefore, Focus group technique adapted to refining relevant capabilities related to knowledge innovation and technology management as “supporting management discipline”. These capabilities gathered from the systematic literature review (PRISMA and Co-word analysis). The experts nominated from various research centers that include universities, public organizations. Furthermore, based on focus group results the interrelationship and prioritization of capabilities can be formulate through DANP techniques. The DANP (DEMATEL Based ANP) technique utilizes multidisciplinary experts that allow general model fitting specifically to R&D’s in public organization. The study concluded, by filling the potential gap that occurs in shape of capability failure. Key finding of this study is to draws novel Framework on infrastructural, processes and strategic perspective related to capabilities that belongs to knowledge, innovation and technology management along with behavior of their resources that influence indirectly on R&D. The capabilities perspective as criteria’s allowing decision makers to assess the vital deficiencies in classifying capabilities to address capability failure issue. This research enables policymakers to developed R&D framework that might be useful for other low privilege developing countries where state driven R&D model plays a crucial role in developing national science policy