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

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

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

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

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

There is an increasing amount of research investigating retractions. Yet little attention has been paid to the relationship between retractions and collaboration. This study draws upon two notions from the social psychological literature on group interaction – diffusion of responsibility and internal auditing – to examine the effect of collaboration size on retraction. We test our hypotheses regarding the relationship between retractions and collaboration on a unique publication dataset of retractions and its control group constructed by the nearest-neighbor-matching approach. Our analysis does not support the diffusion of responsibility as no significant evidence indicates that collaboration suffers from producing flawed research, at least in the form of retraction. We also find that ceteris paribus publications with authors from elite universities are less likely but quickly to be retracted. There also is no significant impact of collaboration size on the speed of retraction of Chinese articles, although China stands out with the fastest retracting speed. Our findings have policy implications for the governance of global science, especially that involves collaboration.

Full-text paper

Author(s): Li Tang, Guangyuan Hu, Yang Sui, Cong Cao
Organization(s):  Fudan University, Shanghai University of Finance Economics, University of Nottingham
Source: The 7th International Conference on “Public Management in 21st Century: Opportunities and Challenges”
Year: 2016