Category Archives: Research profiling

Illuminating blind spots and skewness in leadership

We explore the topic of leadership through a novel approach of analysing social science research literature called computer assisted research profiling (CARP) for ontological profiling. Our review revealed a domination by western approaches and perspectives, leading to some blind spots and skewness in understanding leadership processes, perspectives and research designs. There is a scope of organising leadership research and refining the conceptualisation of leadership in order to adequately include various differential aspects and perspectives of leadership. Often driven by existentialist positioning and unclear objectives, a synthetic integration of approaches result in more confusion. Furthermore, positivist paradigms emanating from the dominant worldview hardly leave space for indigenous approaches and perspectives. The paper suggests to bring ‘leadership research’ philosophically closer to advances in ‘fundamental research’ in physical sciences to benefit from each other. It suggests an integrative paradigm led multi-paradigmatic approach for leadership development by tapping into ancient traditions of the world.

https://doi.org/10.1504/IJTTC.2018.092644

Author(s):Puneet K. Bindlish, Sharda S. Nandram
Organization(s): Indian Institute of Technology, Nyenrode Business University
Source: International Journal of Technology Transfer and Commercialisation
Year: 2018

Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study

As one of the most impactful emerging technologies, big data analytics and its related applications are powering the development of information technologies and are significantly shaping thinking and behavior in today’s interconnected world. Exploring the technological evolution of big data research is an effective way to enhance technology management and create value for research and development strategies for both government and industry. This paper uses a learning-enhanced bibliometric study to discover interactions in big data research by detecting and visualizing its evolutionary pathways. Concentrating on a set of 5840 articles derived from Web of Science covering the period between 2000 and 2015, text mining and bibliometric techniques are combined to profile the hotspots in big data research and its core constituents. A learning process is used to enhance the ability to identify the interactive relationships between topics in sequential time slices, revealing technological evolution and death. The outputs include a landscape of interactions within big data research from 2000 to 2015 with a detailed map of the evolutionary pathways of specific technologies. Empirical insights for related studies in science policy, innovation management, and entrepreneurship are also provided.

https://doi.org/10.1016/j.techfore.2018.06.007

Author(s): Yi Zhang, Ying Huang, Alan L. Porter, Guangquan Zhang, Jie Lu
Organization(s): University of Technology Sydney, Hunan University
Source: Technological Forecasting and Social Change
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

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

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

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

A systematic literature review on green supply chain management: research implications and future perspectives

This article aims to present the Green Supply Chain Management (GSCM) practices from a comprehensive point of view and to analyze the subject’s behaviour in the last ten years, through a systematic literature review/bibliometric analysis in articles published from 2006 to 2016. Through the research profiling method, we identified that (i) the most frequent research contexts were “GSCM financial impact” and “motivations to GSCM implementation”, (ii) the automotive, textile / manufacturing and electronic sectors were the most discussed, (iii) the most used research methods were those involving empirical procedures, iv) Web of Science and Scopus databases gathered 96.7% of the articles used in this analysis, (v) there is a high concentration of researches from countries academically established and recognized, while developing countries are also present, (vi) Journal of Cleaner Production was the most cited journal and with more publications about GSCM, (vii) Samir Srivastava’s article had the highest Citation Score, and (viii) there are 11 GSCM research clusters. In addition, we discuss the content covered in the literature review, seeking to extend the understanding of the scenario where the GSCM is inserted nowadays and helping to identify research opportunities for researchers interested in such subject.

https://doi.org/10.1016/j.jclepro.2018.03.083

Author(s): Ualison Rébula de Oliveira, Luciano Souza Espindola, Isabele Rocha da Silva, Iaslin Nostório da Silva, Henrique Martins Rocha
Organization(s): Universidade Federal Fluminense (UFF), Universidade do Estado do Rio de Janeiro (UERJ)
Source: Journal of Cleaner Production
Year: 2018

Mapping of Trace Elements in Coal and Ash Research Based on a Bibliometric Analysis Method Spanning 1971–2017 (full-text)

Coal is the most important fossil energy used in China. The environmental impact of trace elements released in coal combustion has become one of the hottest issues in recent years. Based on a software named CiteSpace, and social network analysis (SNA), a bibliometric analysis of research into trace elements in coal and ash field during 1971–2017 is presented with the information of authors, countries, institutions, journals, hot issues and research trends in the present study. The study results indicate that: (1) Shifeng Dai, Robert B Finkelman, Guijian Liu and James C Hower have a large number of publications with great influence. (2) China (29.8%) and USA (22.2%) have high productivity in total publications. China and the USA correlate closely in the cooperative web system. (3) China University of Mining and Technology and Chinese Academy of Sciences take the leading position in the quantity of publications among all research institutions. (4) Energy and fuels, engineering and environmental science are three disciplines with the most studies in this field. (5) International Journal of Coal Geology, Fuel, Energy and Fuels and Fuel Processing Technology are the top four journals with the most publications in this field. (6) The enrichment origin and modes of occurrence of trace elements are the mainstream research related to trace elements in coal and ash. The environmental problems caused by coal combustion have promoted the development of trace elements in coal research, and human health is getting more and more popular in recent years. The study findings provide a better understanding of features of trace elements in coal and ash research, which could be taken as a reference for future studies in this field.

For full-text see http://www.mdpi.com/2075-163X/8/3/89/htm

Author(s): Liu Yang, Qiqi Wang, Xue Bai, Jun Deng, Yinjie Hu
Organization(s): China University of Mining and Technology, China National Institute of Standardization
Source: Minerals
Year: 2018

A landscape of bioinformatics patents – Garnering of IPR in the field of bioinformatics

In the current information technology era, Bioinformatics is growing rapidly due to availability of vast database systems and the ever increasing amount of biological data. It is a flexible and creative means of storing, managing, and querying of complex biological datasets. With these rapid advancements in today’s technology-driven age, it is also imperative that protection in the form of Intellectual Property Rights (IPR) is sought for such research and development activity. In addition, there is a need to formulate an aggressive strategy to protect one’s IP. In fact, various companies’, universities’, institutions’ and researchers’ are into the process to protect their core invention. This landscape will give an outline of the latest technological growth, geographical distribution, and top competitors playing an important role in this field.

https://www.sciencedirect.com/science/article/pii/S0172219016300746

Author(s): Neha Mago, Nishad Deshpande, Rajkumar R.Hirwani
Organization(s): CSIR-Unit for Research and Development of Information Products (CSIR-URDIP)
Source: World Patent Information
Year: 2017