scholarly journals Algorithm for Applying Statistics and Scientometric Analysis to Identify Innovative Areas of Focus in Scientific Knowledge in Labour Economics

2019 ◽  
Vol 26 (2) ◽  
pp. 53-66
Author(s):  
O. E. Bashina ◽  
L. V. Matraeva ◽  
Ye. S. Vasyutina
Keyword(s):  
Scientific Knowledge ◽  
Search Algorithm ◽  
Subject Area ◽  
Future Research ◽  
Scientometric Analysis ◽  
Labour Economics ◽  
Timing Diagram ◽  
Research Fronts ◽  
Principal Points ◽  
Active Research

The modern Digital Universe changes and expands at a speed that every two years double the amount of data. It leads to a situation when huge accumulated flows of information can no longer be covered by traditional scientific search and built into a relevant scientific research framework. The authors argue that there is a need for using modern statistics and scientometric application packages for solving research tasks in the primary trends of the information economy. The article presents a comparative analysis of various scientometric programs and describes a new approach to identifying and visualizing patterns and transient regularities in the scientific literature on the basis of a study of global publication flows in the last 25 years in the subject area of «labour economics» represented in the Web of Science.The authors conceptualize and visualize scientific domain of «labour economics» within the framework of the timing diagram of the evolution of research fronts. They introduce the search algorithm for active research fronts in the global information flow using CiteSpace V.0 and highlight the most critical trends and principal points of research clusters for the past decade on labour economics and its core studies. The paper determines most perspective citation spikes that could potentially become the center of new scientific knowledge in this area and outlines opportunities for future research.

scholarly journals Research Progress of Urban Floods under Climate Change and Urbanization: A Scientometric Analysis

Buildings ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 628
Author(s):  
Qiu Yang ◽  
Xiazhong Zheng ◽  
Lianghai Jin ◽  
Xiaohui Lei ◽  
Bo Shao ◽  
...  
Keyword(s):  
Climate Change ◽  
Scientific Knowledge ◽  
Global Climate ◽  
Low Impact Development ◽  
Research Progress ◽  
Future Research ◽  
Scientometric Analysis ◽  
Knowledge Mapping ◽  
Urban Floods ◽  
Urban Flood

Urban floods research has been attracting extensive attention with the increasing threat of flood risk and environmental hazards due to global climate change and urbanization. However, there is rarely a comprehensive review of this field and it remains unclear how the research topics on urban floods have evolved. In this study, we analyzed the development of urban floods research and explored the hotspots and frontiers of this field by scientific knowledge mapping. In total, 3314 published articles from 2006 to 2021 were analyzed. The results suggest that the number of published articles in the field of urban floods generally has an upward trend year by year, and the research focus has shifted from exploring hydrological processes to adopting advanced management measures to solve urban flood problems. Moreover, urban stormwater management and low impact development in the context of climate change and urbanization have gradually become research hotspots. Future research directions based on the status and trends of the urban floods field were also discussed. This research can not only inspire other researchers and policymakers, but also demonstrates the effectiveness of scientific knowledge mapping analysis by the use of the software CiteSpace and VOSviewer.

scholarly journals The Landscape of Risk Perception Research: A Scientometric Analysis

2021 ◽  
Vol 13 (23) ◽  
pp. 13188
Author(s):  
Floris Goerlandt ◽  
Jie Li ◽  
Genserik Reniers
Keyword(s):  
Risk Perception ◽  
Consumer Choice ◽  
Traffic Accidents ◽  
Temporal Dynamics ◽  
Research Output ◽  
Temporal Trends ◽  
Future Research ◽  
Scientometric Analysis ◽  
Research Fronts ◽  
High Level

Risk perception is important in organizational and societal governance contexts. This article presents a high-level analysis of risk perception research using Web of Science core collection databases, scientometrics methods and visualization tools. The focus is on trends in outputs, geographical and temporal trends, and patterns in the associated scientific categories. Thematic clusters and temporal dynamics of focus topics are identified using keyword analysis. A co-citation analysis is performed to identify the evolution of research fronts and key documents. The results indicate that research output is growing fast, with most contributions originating from western countries. The domain is highly interdisciplinary, rooted in psychology and social sciences, but branching into domains related to environmental sciences, medicine, and engineering. Significant research themes focus on perceptions related to health, with a focus on cancer, human immunodeficiency virus, and epidemiology, natural hazards and major disasters, traffic accidents, technological and industrial risks, and customer trust. Risk perception research originated from consumer choice decisions, with subsequent research fronts focusing on understanding the risk perception concept, and on developing taxonomies and measurement methods. Applied research fronts focus on environmental hazards, traffic accidents, breast cancer and, more recently, e-commerce transactions and flood risk. Based on the results, various avenues for future research are described.

scholarly journals Knowledge mapping of office workspace: a scientometric review of studies

Facilities ◽  
2019 ◽  
Vol 38 (3/4) ◽  
pp. 316-345
Author(s):  
Wadu Mesthrige Jayantha ◽  
Olugbenga Timo Oladinrin
Keyword(s):  
Keyword Search ◽  
Facility Management ◽  
Future Research ◽  
Scientometric Analysis ◽  
Knowledge Mapping ◽  
Business Organizations ◽  
Content Type ◽  
The Subject ◽  
Active Research ◽  
Bibliometric Studies

Purpose Office workspace is more than a place but one of the essential resources in business organizations. In recent years, research in office workspace management has become an increasingly important scholarly focus. However, there is a dearth of bibliometric studies to date on the subject. This study aims to explore a scientometric analysis of office workspace field. Design/methodology/approach The title/abstract/keyword search method was used to extract related papers from 1990 to 2018. A total of 1,670 papers published in Scopus were obtained and subjected to scientometric data analysis techniques via CiteSpace software. Findings The results revealed the active research institutions and countries, influential authors, important journals, representative references and research hotspots in this field. Practical implications While this study focused on office workspace management, the findings hold useful implications for the built environment in general and facility management in particular, being a sector that encompasses multiple disciplines involving building, office assets, people, processes and technology, which enable effective functioning of the built facilities. Originality/value This is probably the most comprehensive scientometric analysis of the office workspace field ever conducted. This study adds to the so far limited knowledge in the field and provides insights for future research.

scholarly journals Shall I Work with Them? A Knowledge Graph-Based Approach for Predicting Future Research Collaborations

Entropy ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. 664
Author(s):  
Nikos Kanakaris ◽  
Nikolaos Giarelis ◽  
Ilias Siachos ◽  
Nikos Karacapilidis
Keyword(s):  
Language Processing ◽  
Scientific Knowledge ◽  
Link Prediction ◽  
Performance Metrics ◽  
Future Research ◽  
Knowledge Graph ◽  
Prediction Problem ◽  
Textual Information ◽  
Research Collaborations ◽  
Processing Techniques

We consider the prediction of future research collaborations as a link prediction problem applied on a scientific knowledge graph. To the best of our knowledge, this is the first work on the prediction of future research collaborations that combines structural and textual information of a scientific knowledge graph through a purposeful integration of graph algorithms and natural language processing techniques. Our work: (i) investigates whether the integration of unstructured textual data into a single knowledge graph affects the performance of a link prediction model, (ii) studies the effect of previously proposed graph kernels based approaches on the performance of an ML model, as far as the link prediction problem is concerned, and (iii) proposes a three-phase pipeline that enables the exploitation of structural and textual information, as well as of pre-trained word embeddings. We benchmark the proposed approach against classical link prediction algorithms using accuracy, recall, and precision as our performance metrics. Finally, we empirically test our approach through various feature combinations with respect to the link prediction problem. Our experimentations with the new COVID-19 Open Research Dataset demonstrate a significant improvement of the abovementioned performance metrics in the prediction of future research collaborations.

scholarly journals Research on the Literature of Green Building Based on the Web of Science: A Scientometric Analysis in CiteSpace (2002–2018)

2019 ◽  
Vol 11 (13) ◽  
pp. 3716 ◽  
Author(s):  
Yingling Shi ◽  
Xinping Liu
Keyword(s):  
Web Of Science ◽  
Green Building ◽  
Development Trend ◽  
Status Quo ◽  
Future Research ◽  
Building Industry ◽  
Scientometric Analysis ◽  
The Past ◽  
Evolution Pattern ◽  
The Status

Since the 21st century, the concept of green building has been gradually popularized and implemented in more countries, which has become a popular direction in the area of sustainability in the building industry. Over the past few decades, many scholars and experts have done extensive research on green building. The purpose of this paper is to systematically analyze and visualize the status quo of green building. Therefore, based on Web of Science (WoS), this paper analyzed the existing knowledge system of green building using CiteSpace, identified keywords related to green building and their frequency of occurrence using the function of keyword co-occurrence analysis, recognized five clusters using the function of cluster analysis, and explored the knowledge evolution pattern of green building using citation bursts analysis in order to reveal how research related to green building has evolved over time. On the basis of aforementioned keywords, clusters, and citation bursts analysis, this paper has built a knowledge graph for green building. This paper can help readers to better understand the status quo and development trend of green building and to easier recognize the shortcomings in the development of green building, so as to provide a promising direction for future research.

scholarly journals A Classification of Basic Helix-Loop-Helix Transcription Factors of Soybean

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Karen A. Hudson ◽  
Matthew E. Hudson
Keyword(s):  
Transcription Factors ◽  
Genome Sequence ◽  
Search Algorithm ◽  
Soybean Genome ◽  
Binding Potential ◽  
Future Research ◽  
Basic Helix Loop Helix ◽  
Helix Loop Helix ◽  
Bhlh Genes ◽  
Wide Range

The complete genome sequence of soybean allows an unprecedented opportunity for the discovery of the genes controlling important traits. In particular, the potential functions of regulatory genes are a priority for analysis. The basic helix-loop-helix (bHLH) family of transcription factors is known to be involved in controlling a wide range of systems critical for crop adaptation and quality, including photosynthesis, light signalling, pigment biosynthesis, and seed pod development. Using a hidden Markov model search algorithm, 319 genes with basic helix-loop-helix transcription factor domains were identified within the soybean genome sequence. These were classified with respect to their predicted DNA binding potential, intron/exon structure, and the phylogeny of the bHLH domain. Evidence is presented that the vast majority (281) of these 319 soybean bHLH genes are expressed at the mRNA level. Of these soybean bHLH genes, 67% were found to exist in two or more homeologous copies. This dataset provides a framework for future studies on bHLH gene function in soybean. The challenge for future research remains to define functions for the bHLH factors encoded in the soybean genome, which may allow greater flexibility for genetic selection of growth and environmental adaptation in this widely grown crop.

Big data analysis of trends in the second-hand apparel market: a comparison between 2014 and 2019

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanghee Kim ◽  
Hongjoo Woo
Keyword(s):  
Big Data ◽  
Design Methodology ◽  
Semantic Network ◽  
Distribution Channels ◽  
Subject Area ◽  
Future Research ◽  
Semantic Network Analysis ◽  
Content Type ◽  
The Past ◽  
Network Patterns

Purpose According to the perspective of evolutionary economic theory, the marketplace continuously evolves over time, following the changing needs of both customers and firms. In accordance with the theory, the second-hand apparel market has been rapidly expanding by meeting consumers’ diverse preferences and promoting sustainability since 2014. To understand what changes in consumers’ consumption behaviors regarding used apparel have driven this growth, the purpose of this study is to examine how the second-hand apparel market product types, distribution channels and consumers’ motives have changed over the past five years. Design/methodology/approach This study collected big data from Google through Textom software by extracting all Web-exposed text in 2014, and again in 2019, that contained the keyword “second-hand apparel,” and used the Node XL program to visualize the network patterns of these words through the semantic network analysis. Findings The results indicate that the second-hand apparel market has evolved with various changes over the past five years in terms of consumer motives, product types and distribution channels. Originality/value This study provides a comprehensive understanding of the changing demands of consumers toward used apparel over the past five years, providing insights for retailers as well as future research in this subject area.

204 Awardee Talk: Recent Advances in Protein Nutrition in Horses

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 109-109
Author(s):  
Kristine Urschel
Keyword(s):  
Protein Synthesis ◽  
Amino Acid ◽  
Muscle Mass ◽  
Muscle Protein ◽  
Muscle Protein Synthesis ◽  
Protein Digestibility ◽  
Future Research ◽  
Amino Acid Supplementation ◽  
Protein Nutrition ◽  
Active Research

Abstract Protein has been recognized as an essential nutrient for animals for well over 100 years. Protein plays many important structural and metabolic roles, and some of its component amino acids have additional functions, including as regulatory molecules, as energy substrates and in the synthesis of other non-protein molecules. Skeletal muscle makes up approximately 50% of body weight in horses, with protein being the major non-water component. As an athletic species, the development and maintenance of muscle mass is of the utmost importance in horses. Because muscle mass is largely determined by the balance of rates of muscle protein synthesis and breakdown, understanding how these pathways are regulated and influenced by dietary protein and amino acid provision is essential. Historically, much research regarding protein nutrition in horses has focused on the protein digestibility of different feed ingredients, and the adequacy of different protein sources in supporting the growth and maintenance of horses. This presentation will focus on some of the current areas of active research relating to protein nutrition in horses: the activation of the signaling pathways that regulate muscle protein synthesis, amino acid supplementation in athletic horses, protein metabolism in aged and horses and those with insulin dysregulation, and amino acid and protein nutrition in predominantly forage-fed horses. There are many exciting opportunities for future research in the area of protein and amino acid nutrition in horses across the lifespan.

A scientometric analysis of BIM studies in facilities management

2019 ◽  
Vol 37 (2) ◽  
pp. 122-139 ◽  
Author(s):  
Mustafa Hilal ◽  
Tayyab Maqsood ◽  
Amir Abdekhodaee
Keyword(s):  
Mapping Method ◽  
Facility Management ◽  
Future Research ◽  
Scientometric Analysis ◽  
Facilities Management ◽  
Science Mapping ◽  
Content Type ◽  
Visual Maps ◽  
Building Information ◽  
Mapping Techniques

Purpose The purpose of this paper is to statistically classify and categorize Building Information Modelling (BIM)-Facility Management (FM) publications in order to extract useful information related to the adoption and use of BIM in FM. Design/methodology/approach This study employs a quantitative approach using science mapping techniques to examine BIM-FM publications using Web of Science (WOS) database for the period between 2000 and April 2018. Findings The findings guide the researchers who are interested in the BIM-FM model by providing visual maps analysis of that area in a simple, easy and readable way. In addition, they help the researchers to understand which authors and journals to consider when dealing with BIM-FM topics. Finally, knowledge gaps in this domain can be identified easily using the findings of the Scientometric analysis. Research limitations/implications First, the results of the analysis depend on the database that has been extracted from WOS, and therefore it carries any of WOS’s limitations in terms of how much it covers the published studies. Another limitation is that the study is based on exploration of “what” questions, rather than “how” and “why”. These limitations represent the hot topics to be addressed in future research. Originality/value This research is the first to conduct the Scientometric Analysis of BIM-FM topics, in which 68 top-ranked publications were systematically examined using a Science Mapping method through VOSviewer software.

Diversity in the Workplace: A Review, Synthesis, and Future Research Agenda

2019 ◽  
Vol 6 (1) ◽  
pp. 69-88 ◽  
Author(s):  
Quinetta M. Roberson
Keyword(s):  
Current Literature ◽  
Scientific Knowledge ◽  
Research Agenda ◽  
Diversity Management ◽  
Workforce Diversity ◽  
Future Research ◽  
Future Research Agenda ◽  
Current State ◽  
Diversity In The Workplace ◽  
Theoretical Foundations

Fueled by socioeconomic trends that changed the composition of organizational workforces, the term workforce diversity was coined in the 1990s. Since then, both researchers and practitioners have strived (and struggled) to understand the concept, its effects in and on organizations, and strategies for managing such effects. In this article, I provide an overview and interpretation of the current literature to examine its purpose, progress, and direction. Highlighting key conceptualizations of the construct, theoretical foundations, and empirical findings on diversity and diversity management, I discuss the evolution and current state of the field and synthesize this information to propose a future research agenda. In doing so, I seek to identify theoretical, empirical, and practice areas of opportunity for advancing scientific knowledge about the meaning, substance, and outcomes of diversity as well as the implementation of diversity science in organizations.

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