All posts by VPInstitute

Identifying R&D partners through Subject-Action-Object semantic analysis in a problem & solution pattern (full-text)

Today’s companies still rely heavily on expert knowledge rather than quantitative data with a systematic approach to effectively identify and choose Research and Development (R&D) partners. It is advantageous to identify and select potential R&D partners using a Problem & Solution (P&S) pattern. This paper presents a novel process for identifying R&D partners on the basis of solution similarities that assist technology managers in understanding the relationships between research targets. First, we choose a thematic dataset that contains problems and quantitative data with relative topic terms. Then, we extract Subject-Action-Object semantic structures in a P&S pattern from the dataset, and identify various solutions to a technical problem, with each as a subject. In addition, we provide correlation mapping to visualise the text characters and identify R&D partners. Finally, we validate the proposed method through a case study of the dye-sensitized solar cells sector.

http://www.tandfonline.com/doi/abs/10.1080/09537325.2016.1277202?journalCode=ctas20

For full-text see https://www.researchgate.net/publication/312341963_Identifying_RD_partners_through_Subject-Action-Object_semantic_analysis_in_a_problem_solution_pattern

Author(s): Xuefeng Wang, Zhinan Wang, Ying Huang, Yuqin Liu, Jiao Zhang, Xiaofan Heng, Donghua Zhu
Organization(s): Beijing Institute of Technology
Source: Technology Analysis & Strategic Management
Year: 2017

INTELLECTUAL STRUCTURE OF STEM EDUCATION IN EDUCATIONAL RESEARCH (full-text)

The aim of this research is to put forward the intellectual structure of STEM (Science, Technology, Engineering and Mathematics) education concept in educational research. STEM education has emerged as a highly accepted paradigm in education especially in the USA and European countries in recent years. The theoretical substructure of STEM education that is seen as an important factor in attaining the expected qualities in human profile for the changing conditions of the 21st century has started to be formed. STEM education prioritizes team study and interdisciplinary approach. It is of great importance to put forward the intellectual structure of STEM education, that will play an important role in training people for the conditions of the present day, for better comprehension by the researchers, curriculum developers and practitioners. Moreover, when the literature on this concept is investigated, lack of comprehension of the concept and vision is seen. For this reason, the investigation of the development and current status of STEM education will contribute to literature in terms of understanding the intellectual structure of the concept. The dataset of the study is composed of all types of studies in at least one of the categories of Education & Educational Research and “Education, Scientific Disciplines” published in Web of Science (WoS). Basing on WoS categories the relationship of the concept with other disciplines have been examined and visualized with web graphics on the accessed publications. It has been possible to refer to which focus the scientific data has been developed nourishing via the journals by mapping the journals in the dataset as citation giving and citation attaining. In addition to these, contribution of disciplines and countries to STEM education has been compared.

https://www.researchgate.net/publication/311588664_INTELLECTUAL_STRUCTURE_OF_STEM_EDUCATION_IN_EDUCATIONAL_RESEARCH

Author(s): Mutlu Tahsin Üstündağ, Haydar Yalcin, Erhan Gün
Organization(s): Izmir Katip Celebi Universitesi, Ahi Evran Üniversitesi
Source: Turkish Online Journal of Educational Technology
Year: 2016

Profiling the Research Landscape in Emerging Areas Using Bibliometrics and Text Mining: A Case Study of Biomedical Engineering (BME) in Thailand

This study focuses on applying bibliometric analysis and text mining technique to generate technology intelligence from publication databases. The intelligence represents the research profile and landscape by highlighting active research areas and revealing professional communities along with their social networks. Professional communities can be not just existing networks, but also hidden ones. In this paper, the analysis of biomedical engineering (BME) field in Thailand is presented as the case study. The findings can be used as key inputs for the development of effective policies and incentives to promote the research activities as well as the collaboration among different groups of experts.
Read more at http://www.worldscientific.com/doi/abs/10.1142/S0219877017400119

Author(s): Nathasit Gerdsri, Alisa Kongthon, Sudatip Puengrusme
Organization(s): Mahidol University, National Electronics and Computer Technology Center (NECTEC)
Source: International Journal of Innovation and Technology Management
Year: 2017

Scientific collaboration in indigenous knowledge in context: Insights from publication and co-publication network analysis

Scientific collaboration has been cited as a major stimulant in innovation and a major component for the development of indigenous technologies particularly in countries invested in rapid technological catch-up in East Asia and Southeast Asia. In this study, we assess the comparative advantage of the selected economies and employ a network perspective to drill down to the case study of indigenous knowledge, using the traditional medicine sector – a focus indigenous industry of several Asian economies – to understand how the State, Industry and Universities link to drive innovation in this growing field. From our selected economies in East Asia, we identified three network models that describe the outcomes of the innovation strategies in place, a network-based extension of previous studies. We examine publication output and co-publication network structures to investigate the comparative advantage and composition of the research networks in the various economies. Our results suggest that the university-centric model remains the most popular, with Hong Kong appearing to attain the most functional innovation system with a competitive selection environment and high comparative advantage in this field. We propose this methodology as a means to explore the scientific infrastructure of a specific sector, thereby acting as a precursor to forecasting potential technological spill-over and growth in specific sectors.

http://www.sciencedirect.com/science/article/pii/S0040162517300367

Author(s): Hon-Ngen Fung, Chan-Yuan Wong
Organization(s): University of Malaya
Source: Technological Forecasting & Social Change
Year: 2017

Urban heat island research from 1991 to 2015: a bibliometric analysis

A bibliometric analysis based on the Science Citation Index-Expanded (SCI-Expanded) database from the Web of Science was performed to review urban heat island (UHI) research from 1991 to 2015 and statistically assess its developments, trends, and directions. In total, 1822 papers published in 352 journals over the past 25 years were analyzed for scientific output; citations; subject categories; major journals; outstanding keywords; and leading countries, institutions, authors, and research collaborations. The number of UHI-related publications has continuously increased since 1991. Meteorology atmospheric sciences, environmental sciences, and construction building technology were the three most frequent subject categories. Building and Environment, International Journal of Climatology, and Theoretical and Applied Climatology were the three most popular publishing journals. The USA and China were the two leading countries in UHI research, contributing 49.56% of the total articles. Chinese Academy of Science, Arizona State University, and China Meteorological Administration published the most UHI articles. Weng QH and Santamouris M were the two most prolific authors. Author keywords were classified into four major groups: (1) research methods and indicators, e.g., remote sensing, field measurement, and models; (2) generation factors, e.g., impervious urban surfaces, urban geometry, waste heat, vegetation, and pollutants; (3) environmental effects, e.g., urban climate, heat wave, ecology, and pollution; and (4) mitigation and adaption strategies, e.g., roof technology cooling, reflective cooling, vegetation cooling, and urban geometry cooling. A comparative analysis of popular issues revealed that UHI determination (intensity, heat source, supporting techniques) remains the central topic, whereas UHI impacts and mitigation strategies are becoming the popular issues that will receive increasing scientific attention in the future. Modeling will continue to be the leading research method, and remote sensing will be used more widely. Additionally, a combination of remote sensing and field measurements with models is expected.

http://link.springer.com/article/10.1007/s00704-016-2025-1

Author(s): Qunfang Huang, Yuqi Lu
Organization(s): Nanjing Normal University
Source: Theoretical and Applied Climatology
Year: 2017

Survey of Technology Forecasting Techniques for Complex Systems

Complex system design and assessment is a challenging task exasperated by the need to forecast nascent technology in system evaluation. Proper technology forecasting technique selection will assist decision makers to understand the risks involved in the integration of emerging technology into existing or new complex system developments.This research surveys the field of technology forecasting using both previous technology forecasting survey results and text mining on academic literature to identify 60 unique technology forecasting methodologies and associated variations. Then, the literature for the technologies is reviewed to place the technique into a family, describe whether it was quantitative or qualitative, indicate whether it could be used for explorative or normative forecasting, rate 12 criteria, and characterize the expected results of the technique. A technology forecasting taxonomy is created from the results. This taxonomy can be used to guide the designer or decision maker to select the most appropriate technique based on the purpose of a forecasting exercise, the characteristics of the technology to be forecasted, and the amount of effort and resources that can be expended for the exercise.

http://arc.aiaa.org/doi/abs/10.2514/6.2017-0974

Author(s): Andrew C. Smith, Kyle Collins, and Dimitri N. Mavris
Organization(s): Georgia Institute of Technology
Source: 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
Year: 2017

Changes in the Intellectual Structure of Service Innovation and Service System in The Digital Age: An Interdisciplinary Analysis From 1986 To 2015 (full-text)

In the past thirty years, growth in all service sectors and rapid advances in
information and communication technologies (ICT) have revealed new
challenges for improving service systems through service innovation. Although,
these areas of researches are closely related, few studies have
investigated the relationship between these areas. This study aims to analyse
the changes in the intellectual structure of service innovation and service
system research in the digital age in order to a better understand its
origins, current state, and future directions. Drawing on bibliometric methods,
our proposed methodological approach combines the co-words, cocitation
analysis with the qualitative thematic analysis. We perform an extensive
co-words and co-citation analysis using multidimensional scaling
(MDS), as well as factor analysis and principal component analysis (PCA)
to examine 20.950 key terms. These key terms, extracted from 796 articles,
published in 277 journals over three decades (1986-2015), indexed in ISI
Web of Science and/or Scopus. Subsequently, we examine topics of the
recent studies, over the period of the last 5 years, through a thematic
analysis. Results provide a ‘comprehensive view’ of the intellectual structure
of service innovation and service system in the digital age, how they
both are evolved and their related topics over time; Moreover, it clarifies
the main players in bridging conceptual domains of research.

Full-text paper

https://www.iris.unina.it/retrieve/handle/11588/655196/84709/PROCEEDINGS%20%2026%20th%20Reser%20Conference-%202016%20Naples.pdf#page=115

Author: Milena J. Silva-Morales
Organization: Grenoble Alps University
Source: 26th Annual RESER Conference
Year: 2016

Evidences in Scientific Knowledge Management of Biotechnology in Brazil (full-text)

This paper presents a study on scientific knowledge management of Biotechnology area through analysis of scientific Biotechnology trends in Brazil, providing an overview of the science profile as well as regional development and its relation to issues of topics based on the analysis of scientific publications for the period of last 10 years. Given these promising prospects, the monitoring and searching of scientific advances and trends in this area of knowledge have become essential for searching opportunities in R&D and also for potential innovations and business opportunities, both in developed countries as well as in countries of emerging economies such as Brazil. The survey was accomplished in database Web of Science using 60 terms selected in Biotechnology area and 72,187 documents has been organized. Scientific indicators were produced using data/text mining tools. It was possible to find a greater number of scientific publications in areas such as Biochemistry & Molecular Biology and Genetics & Heredity. Results pointed out The USA as the main foreign partner-country of scientific publications followed by UK, France and Germany. It was possible to verify cooperation network with others Latin American countries.

Full-text paper

Author(s): Maria de Fátima Ebole Santana, Nei Pereira Jr, Adelaide Maria de Souza Antunes, Marcio Sacramento de Oliveira
Organization(s): Polytechnic School of Health Joaquim Venancio (EPSJV)/ Oswaldo Cruz Foundation (Fiocruz),  Federal University of Rio de Janeiro (UFRJ), National Institute of Industrial Property (INPI)
Source: International Journal of Managerial Studies and Research (IJMSR)
Year: 2016

Relational Governance and Modularity of Japanese Automotive Industry: Effects and Dynamic of Strategic Action FIELD (full-text)

The objective of this study was to analyze the modularity in the networks of Japanese automakers from 2007 to 2014 and its association to the dynamics of strategic action fields. The metric of modularity (Q) (Clauset, Newman, & Moore, 2004; Newman, 2006) indicates the best partition in groups of a particular network. As a global metric longitudinal network modularity indicates changes in the composition of the groups. Variano, McCoy & Lipson (2004) showed that the presence of a hierarchy of modules (groups) confers increased robustness and stability of a structure in networks where this is expose to external disturbances. With this in mind we sought time events that have caused disturbances to the Japanese industry and combine them to variations in modularity (Q). Finally, we associate this level of analysis to the dynamics of a meso level arrangement or field according to Fligstein & McAdam (2012). There may be a relationship between modularity and structure of a field. For Fligstein & McAdam (2012), actors in a stable field will try to maintain their position and arrangement; the changes are due to the changes and actions of other actors, so field is intersubjective (Fligstein & McAdam, 2012; Nooy, 2003). So in a stable field the transformation is progressive, as there is this idea of defending the arrangement and relational and structural positions. If the field of Japanese automakers is stable, so their responses to disturbances will attempt to maintain the status quo.
In this paper we consider two secondary sources, (i) the annual journal The Motor Industry of Japan from JAMA, and (ii) production statistics of OICA. Were raised 670 contractual relationships between 82 legal entities grouped by Japan, China, Europe and USA and by Ownership, Joint Ventures, Assembly Contracts and Technology Alliances, in order to analyze the modularity associatively to disturbances.

The results revealed three times, the first resulting from the financial crisis of 2008 which boosted the strengthening of the Japanese domestic market by assembly contracts. The second in 2011 caused by the tsunami, when Toyota introduced answers celebrating Technology Alliances with Japan and US automakers. Finally the third in 2013, when apparently pressured by rising demand for alternative energy sources Japanese automakers began a demobilization process of Assembly Contracts in Europe and mobilization of domestic Assembly Contracts, also initiates a mobilization of Technological Alliances with European and US automakers. So the main results reveal that modularity (Q) was sensitive to identify strategic action fields dynamics. These results are combined with clustering technique of data offers rich detail analysis. Also showed great effort into keeping the local market despite the gains in strengthens relations with China. The paper finally contributes to understand the relationship between networks and fields through the Q sensibility to disturbances. Studies correlating network and fields are central to the study of institutions.
Full-text paper

Author(s): Paulo Cesar Matui, Mário Sacomano Neto
Organization(s): Federal University of Sao Carlos
Source: Moral Economies, Economic Moralities – June 24 – 26, 2016
https://sase.confex.com/sase/2016am/webprogram/Paper4709.html
Year: 2016

Study on main delivery actors in Technology Delivery System (TDS) based on multi-data sources

As innovation becomes important and complex, researchers started to explore innovation process under the background of Big Data. Technology Delivery System (TDS), a systematic method dynamically showing innovation process, has caused the extensive concern worldwide. As an essential step to construct TDS better, this study aims to identify main delivery actors in TDS based on multi-data sources, then analyze the delivery relationships between actors and evaluate various actors’ delivery capacity. We hope to improve current technology management and opportunity identification for complex innovations. Firstly, we divide TDS into four phases and apply different matched data sources to identify actors in corresponding phases. Secondly, we try to find technology relationships between actors. Finally, we conduct three indicators to calculate delivery capacity of main actors. With the development of intelligent manufacturing, we choose its new mode, Cloud Manufacturing in China, as a case to verify the feasibility of the approach.

http://ieeexplore.ieee.org/abstract/document/7797958/

Author(s): Ying Guo, Ganlu Sun, Ying Huang, Yun Fu, Yue Qian
Organization(s): Beijing Institute of Technology
Source: 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
Year: 2016