All posts by VPInstitute

Innovation core, innovation semi-periphery and technology transfer: The case of wind energy patents

Some scholars have pointed to a rise of South-South technological transfer led by emerging economies such as China, India, Brazil and South Africa while other scholars highlight that emerging economies still need to catch up with developed countries. Drawing on world system’s theory, we argue that an adapted innovation framework of ‘core – semi-periphery – periphery’ could be an important analytical framework that may help us understand the process of innovation catch up. This may help specifically to better understand how an emerging economy can at least in theory have sectors that could be defined as innovation core and source for technology transfer. We will look at wind energy as North American, European, Indian and Chinese firms dominate the market. This study used citation network analysis and patent analysis to analyse knowledge flows between wind firms and to identify and compare the position and role of each firm in the knowledge network. We argue that there is still, despite catching up, a difference between innovation core countries (US, Germany, Denmark) and innovation semi-periphery (China, India) which will limit the opportunities of knowledge transfer within the sector of wind energy.

https://doi.org/10.1016/j.enpol.2018.04.048

Author(s): Johan Nordensvard, Yuan Zhou, Xiao Zhang
Organization(s): University of Southampton, Tsinghua University
Source: Energy Policy
Year: 2018

Can resources act as capabilities foundations? A bibliometric analysis (Full-paper)

The objective of this article is to record the trends of study regarding the relationships between resources and capabilities, through a review of the literature of its definitions and typologies from 1984-2016, followed by a bibliometric analysis during the period 2001-2016. For this analysis, we used records of the Web of Science. The analysis includes indicators annual productivity, by countries and authors, most productive magazines and most cited articles. A low productivity was identified, 2010 the year with the largest number of articles published. United States leads in number of articles related to the topic. The most cited articles were published in 2003 and the most productive authors have 3 publications each. Thus, important academic gaps are evident, which is why future study paths are suggested.

Full paper PDF

Author(s): Mileidy Álvarez-Melgarejo and Martha Torres-Barreto
Organization(s): Universidad de Investigación y Desarrollo;
Source: Revista UIS Ingenierías
Year: 2018

EScore Heatmap

This script can be used to create a heat map of the technical emergence indicator (EScore) generated in VantagePoint.

Download Heatmap_Script_at_the_Country_Level.vpm

Download Heatmap_Script_at_the_Country_Level.xlsm

To use:

  • Copy the attached .vpm and .xlsm files to an empty folder
  • Copy a VantagePoint file with a Country and Emergence Score compound field to the same folder (or any compound field containing country-level data)
  • Open this field. It will look similar to this:

  • Select the list items you’d like to see mapped and then run the attached .vpm
  • Your browser will automatically launch and display a heatmap for selected list items. If you hover your mouse over a given country its score will appear. If you click on a given country your browser will zoom in to and center on this country. If you click on the home icon (in the top left of the screen) the map will reset.

Soft Robotics: Academic Insights and Perspectives Through Bibliometric Analysis

Soft robotics is of growing interest in the robot community as well as in public media, and there is an increase in the quality and quantity of publications related to this topic. To formally elaborate this growth, we have used a bibliometric analysis to evaluate the publications in the field from 1990 to 2017 based on the Science Citation Index Expanded database. We present a detailed overview and discussion based on keywords, citation, h-index, year, journal, institution, country, author, and review articles. The results show that the United States takes the leading position in this research field, followed by China and Italy. Harvard University has the most publications, high average number of citations per publication and the highest h-index. IEEE Transactions on Robotics ranks first among the top 20 academic journals publishing articles related to this field, whereas Soft Robotics holds the top position in journals categorized with “ROBOTICS.” Actuator, fabrication, control, material, sensing, simulation, bionics, stiffness, modeling, power, motion, and application are the hot topics of soft robotics. Smart materials, bionics, morphological computation, and embodiment control are expected to contribute to this field in the future. Application and commercialization appear to be the initial driving force and final goal for soft robots.

http://doi.org/10.1089/soro.2017.0135

Author(s): Guanjun Bao, Hui Fang, Lingfeng Chen, Yuehua Wan, Fang Xu, Qinghua Yang, and Libin Zhang
Organization(s): Zhejiang University of Technology
Source: Soft Robotics
Year: 2018

Emergence scoring to identify frontier R&D topics and key players

Indicators of technological emergence promise valuable intelligence to those determining R&D priorities. We present an implemented algorithm to calculate emergence scores for topical terms from abstract record sets. We offer a family of emergence indicators deriving from those scores. Primary emergence indicators identify “hot topic” terms. We then use those to generate secondary indicators that reflect organizations, countries, or authors especially active at frontiers in a target R&D domain. We also flag abstract records (papers or patents) rich in emergent technology content, and we score research fields on relative degree of emergence. This paper presents illustrative results for example topics – Nano-Enabled Drug Delivery, Non-Linear Programming, Dye Sensitized Solar Cells, and Big Data.

https://doi.org/10.1016/j.techfore.2018.04.016

Author(s): Alan L. Porter, Jon Garner, Stephen F. Carley, Nils C. Newman
Organization: Georgia Institute of Technology
Source: Technological Forecasting and Social Change
Year: 2018

Análisis cienciométrico de la producción científica acerca de la investigación sobre la evaluación de la implementación del e-learning en el periodo 2000-2015 (Scientometric analysis e-learning research in the period 2000-2015)

A profile is conducted on e-learning using bibliographic data from Scopus and Web of Science (WoS) from the year 2000 to 2015. A five-step scientometric analysis methodology is used: i) Recovery, ii) Migration, iii) Analysis, iv) Visualization v) Interpretation. A set of 1147 records was analyzed, finding that the countries with the greatest contribution were: United States, Spain, United Kingdom, Australia and Germany. The analysis of the profile reflects a range of topics related to e-learning and different areas of knowledge, as well as a scarce presence of research and authors of Latin American origin. This work will allow researchers to identify trends of the last fifteen years.

http://revistas.pucp.edu.pe/index.php/educacion/article/view/19283

Author(s): Diana Marcela Cardona-Román, Jenny Marcela Sánchez-Torres
Organization(s): Universidad Nacional de Colombia
Source: Educación del Departamento de Educación de la Pontificia Universidad Católica del Perú (PUCP)
Year:  2017

Is organizational learning being absorbed by knowledge management? A systematic review

This paper aims to focus on research regarding organizational learning (OL) and knowledge management (KM), and to specifically investigate whether OL has been conceptually absorbed by KM. The study is based on 16,185 articles from the Scopus and ISI Web of Science databases, using VantagePoint 10.0 software. The method used in this study is a systematic literature review covering KM and OL publications from the 1970s, when the OL field started to grow, up to 2016.  Scopus and ISI Web of Science were chosen  because of their academic prestige. However, these databases include a large number of articles on KM and OL. Search terms used could exclude some relevant terms, although all major descriptive terms have been included. This is the first paper to jointly analyse the evolution of KM and OL. This paper shows a conceptual absorption of OL into KM, which may enrich academic discussion and also provide some clarity to the conceptualization of these two fields.

https://doi.org/10.1108/JKM-01-2017-0041

Author(s): Delio Ignacio Castaneda, Luisa Fernanda Manrique, Sergio Cuellar
Organization: Pontificia Universidad Javeriana
Source: Journal of Knowledge Management
Year: 2017

Insights into relationships between disruptive technology/innovation and emerging technology: A bibliometric perspective

“Disruptive technology & disruptive innovation” have been of scholarly interest for years, but there is still a need to better understand the nature of disruptions and their relationship to emerging technology processes. This paper pursues these issues by analyzing the interplay of technological emergence, disruption, and innovation. Applying bibliometric methods, the paper explores the conceptual foundations, themes, and research communities within these research domains. Co-citation analyses point to three largely distinct communities on disruptive technology/innovation and emerging technology. The results highlight the multiple theoretical foundations of research around technological change processes, disruption, and emergence. These differences among the domains invite conceptual cross-fertilization and consideration of interdisciplinary approaches to technological (and commercial) emergence.

https://doi.org/10.1016/j.techfore.2017.09.032

Author(s): Munan Li, Alan L. Porter, Arho Suominen
Organisation(s): South China University of Technology, Georgia Institute of Technology, VTT Technical Research Centre of Finland
Source: Technological Forecasting & Social Change
Year: 2018

Autonomous systems: A bibliometric and patent analysis (full-text)

This report examines Germany’s research and patent position in four autonomous systems: smart homes, smart factories, autonomous vehicles (non-hostile environments), and autonomous vehicles in hostile environments. Bibliometric analysis of scholarly papers indexed in the Web of Science and patent analysis of documents in Patstat and Derwent Innovation Index (representing patents from more than 40 patent authorities worldwide) are conducted for all records published in the 2002 to 2017 (May) time
period. Results suggest that Germany has great strengths in autonomous systems, particularly in the smart factory and autonomous vehicles domains. German research publications are particularly strong in hard technological areas such as representation, localization, computer vision, and sensor vision. The diversity of research organizations and patenting sectors is another strength of Germany’s. German patents also
benefit from being more science-based and international than those from other comparator nations. On the other hand, Germany has less research publication and patent output in the smart home and autonomous vehicles in hostile environment system domains. Germany is less likely to show strength in data analytic and machine learning areas.

For full-text see  https://www.econstor.eu/handle/10419/175556    

Author(s): Jan Youtie, Alan Porter, Philip Shapira, Seokkyun Woo, Yayun Huang
Organization(s): Georgia Institute of Technology
Source: Studien zum deutschen Innovationssystem
Year: 2017