Category Archives: VantagePoint

Green scheduling to achieve green manufacturing: Pursuing a research agenda by mapping science (Full-Text)

The strengthening of measures to reduce greenhouse gas emissions meant that manufacturing scheduling had to acquire a green approach. The need to reduce energy consumption becomes necessary for companies to achieve sustainable development. Therefore, a new challenge for the scientific community was foreseen, researching new algorithms or knowledge hubs to achieve green scheduling. Green scheduling may be considered one of the principles of green manufacturing, aimed at minimizing environmental damage and energy waste. A review of the literature shows that there are no research works that analyze the scientific development carried out in “green scheduling” through methodologies based on bibliometric analysis, thus the need and the novelty of this research. Based on a dataset formed by 420 scientific documents published from 2006 to 2020 a bibliometric and network analysis is carried out to find the scientific trends, the main relationships according to collaborations and intermediaries, and the research hubs that help to establish the research agenda. The results show that “green scheduling” is a growing research area in the scientific community and in recent years the number of new research topics has experienced considerable growth. This research is developed in Asia, Europe and America, but China stands out as the most productive, collaborative, intermediary, influential and active country at present, through its organizations which are mainly universities, such as Huanzhong University of Science and Technology and Tongji University. However, research development related to green scheduling is carried out in a collaborative environment between institutions located in different countries, allowing countries that are not scientific powerhouses to develop research in the area. The network analysis makes it possible to define the research framework through the clustering of the dataset’s research keywords, highlighting that the main areas of research focus on the development of new methods through algorithms aimed at improving energy efficiency in production environments, in areas of computational development such as cloud computing, and in transportation. The most cited research papers, considered the main drivers of knowledge, are published in high-quality research journals, and are mainly developments in scheduling algorithms for different work environments with a green approach. Research findings can provide the academic community with relevant information about green scheduling to make appropriate decisions and become a research agenda for future research.


Author(s): Izaskun Alvarez-Meaza, Enara Zarrabeitia-Bilbao, Rosa-María Rio-Belver, Gaizka Garechana-Anacabe
Organization(s): University of the Basque Country
Source: Technology in Society
Year: 2021

Public innovation: what it is and how it happens through i-Labs

The complexity involved in the solution for public issues requires innovation. Despite the importance, there is little research to translate theories into practice. The aim of this paper is to investigate innovation for public issues through public innovation laboratories (i-Labs). To achieve this, a systematic literature review from documents published since 2004 up to 2019 in Web of Science® was carried out. Data mining software Vantage Point® and Vosviewer® and qualitative analysis software MAXQDA® were used to study 275 articles. Results show the need to deepen in the construction of the public innovation theory through the development of longitudinal studies. The study also found that it is possible to generate public innovation by the integration of; in the laboratory: co-creation, collaborative innovation, experimentation, public-private partnership and citizen participation.

Author(s): Lizeth Fernanda Serrano-Cárdenas, Yessika Lorena Vásquez González, Flor Nancy Díaz-Piraquive
Organization(s): Universidad del Rosario, Universidad de Bogotá Jorge Tadeo Lozano, Fundación Universitaria Internacional de La Rioja UNIR
Source: International Journal of Web Engineering and Technology
Year: 2021

Analysis of Current Status and Evolution Trend of E-waste Resources Utilization Based on Literature Measurement (Full-Text Chinese)

As a comprehensive resource, e-waste contains many precious resources. Resource utilization is an important way to solve the problems of resource shortage and environmental pollution. Based on the paper data collected in Web of Science Core Collection, this article analyzes the paper in the field of the e-waste resource utilization from 1994 to 2019. Using the Derwent data analysis tool (Derwent Data Analyzer, DDA) and VOSviewer software, it reveals the research status and evolution trend, major countries, leading research institutions, major co-authors, keywords, and highly cited papers in the field of e-waste resource utilization.

For FULL-TEXT paper in Chinese

Author(s): Yu Yan
Organization(s): Guangdong Science and Technology Library
Source: Science Focus
Year: 2021

The Relationship between Forward and Backward Diversity in CORE Datasets

In this paper we seek to better understand the relationship between forward diversity in the Cognitive Science and Educational Research literature, as well as what we call Border fields (i.e. those fields which exist at the intersection of Cognitive Science and Education Research). We find a clear and convincing relationship between forward and backward diversity in the datasets we study. Among all available explanatory variables, Integration scores claim the strongest correlation in terms of their ability to account for forward diversity. When comparing results from this study to benchmark results from a prior study (using the same indicators) the datasets in this study show a tendency to be both more integrative and diffuse.

Author(s): Stephen F. Carley, Seokbeom Kwon, Alan L. Porter, Jan L. Youtie
Organization(S): Search Technology, Georgia Institute of Technology
Source: Scientometrics
Year: 2019

Biological Diversity in the Patent System

Biological diversity in the patent system is an enduring focus of controversy but empirical analysis of the presence of biodiversity in the patent system has been limited. To address this problem we text mined 11 million patent documents for 6 million Latin species names from the Global Names Index (GNI) established by the Global Biodiversity Information Facility (GBIF) and Encyclopedia of Life (EOL). Continue reading Biological Diversity in the Patent System

Synthetic Biology: Mapping the Scientific Landscape

This article uses data from Thomson Reuters Web of Science to map and analyse the scientific landscape for synthetic biology. The article draws on recent advances in data visualisation and analytics with the aim of informing upcoming international policy debates on the governance of synthetic biology by the Subsidiary Body on Scientific, Technical and Technological Advice (SBSTTA) of the United Nations Convention on Biological Diversity. Continue reading Synthetic Biology: Mapping the Scientific Landscape

Technology Prospecting on Enzymes for the Pulp and Paper Industry

The use of enzymes in the pulp and paper industry was introduced in the 1986. However, their use has been relatively minor. This prospective study aims at enhancing the understanding of the most important advances regarding the use of enzymes in this industry and to identify the future trends of this technology. Information gathered from the Web of Science shows a growing number of papers published on this topic indicating an increased interest in this issue. A study on patents also displayed a high number documents related to this technology. Cellulase, xylanase, laccase and lipase are the most important enzymes that can be used in the pulp and paper processes. Furthermore, the key objectives of enzymes development have been in the bleaching boosting with xylanases and fiber modification with cellulases. The current and future trends on the development of enzymes are focused on increasing their thermostability and their alkalinity strength. Continue reading Technology Prospecting on Enzymes for the Pulp and Paper Industry

Upgrading the Quality of Science: Does Funding Source Matter?

Extended Abstract – MINING NOVEL DATA SOURCES session at “1st Global TechMining Conference” 2011

Author(s): Abdullah Gök and Philip Shapira (University of Manchester)

This paper examines the effect of differential and multiple funding on the quality of science in the Czech Republic. We explore several propositions. Firstly, we investigate whether European Union research sponsorship is changing the field orientation of Czech science, compared with the structural long-term trend of change since 1980. Secondly, we ask whether the European Union research sponsorship has had a positive influence on the quality of Czech scientific papers compared with other national and international funding sources. Our measures of quality include accrued citations and journal impact factors. Continue reading Upgrading the Quality of Science: Does Funding Source Matter?

Funding Acknowledgement Analysis – An Enhanced Tool to Investigate Research Sponsorship Impacts

Extended Abstract – MINING NOVEL DATA SOURCES   session at “1st Global TechMining Conference” 2011

Author(s): Jue Wang (Florida International University) and Philip Shapira (University of Manchester)

There is increasing interest in assessing how sponsored research funding influences the development and trajectory of science and technology. Traditionally, linkages between research funding and subsequent results are hard to track, often requiring access to separate funding or performance reports released by researchers or sponsors. Tracing research sponsorship and output linkages is even more challenging when researchers receive multiple funding awards and collaborate with a variety of differentially-sponsored research colleagues. Continue reading Funding Acknowledgement Analysis – An Enhanced Tool to Investigate Research Sponsorship Impacts

Learning to Play the Game: An Enhanced Indicator to Investigate Graduate Training Programs in Science and Engineering

Extended Abstract – NEW INDICATORS  session at “1st Global TechMining Conference” 2011

Author(s):Julia Melkers, Diego Pinheiro, Jan Youtie, (School of Public Policy, Georgia Institute of Technology)

The need to encourage future generations of students in the pursuit of science and technological research has been viewed as a cornerstone of US efforts to maintain leadership in research, development, and innovation. However, few indicators of student intellectual activity at the graduate level are tracked on an ongoing basis. The aim of this paper is to provide evidence about graduate student publishing as an indicator of pre-doctoral research activity and, given the benefits of cumulative advantage to early producers of intellectual output, future scholarly success. Continue reading Learning to Play the Game: An Enhanced Indicator to Investigate Graduate Training Programs in Science and Engineering