The knowledge dissemination trajectory research of the carbon footprint domain: a main path analysis

Author(s):  
Dejian Yu ◽  
Yitong Chen
Author(s):  
Xiangcheng Meng ◽  
Alan H. S. Chan

The construction industry is recognized as a high-risk industry given that safety accidents and personnel injuries frequently occur. This study provided a systematic and quantitative review of existing research achievements by conducting social network approach to identify current states and future trends for the occupational safety of construction personnel. A total of 250 peer-reviewed articles were collected to examine the research on safety issues of workers in construction industry. Social network approach was applied to analyze the interrelationship among authors, keywords, and citations of these articles using VOS viewer and CitNetExplorer. A knowledge structure map was drawn using main path analysis (MPA) towards the collected papers, which was implemented by Pajek. In line with the findings of social network analysis, five research groups, and six keyword themes were identified in accordance with the times of cooperation of researchers and correlation among keywords of the papers. Core papers were identified by using main path analysis for each research domain to represent the key process and backbone for the corresponding area. Based on the finding of the research, significant implications and insights in terms of current research status and further research trends were provided for the scholars, thus helping generate a targeted development plan for occupational safety in construction industry.


2016 ◽  
Vol 30 (3) ◽  
pp. 596-623 ◽  
Author(s):  
Nicolò Barbieri ◽  
Claudia Ghisetti ◽  
Marianna Gilli ◽  
Giovanni Marin ◽  
Francesco Nicolli

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liu Meng ◽  
Zhang Chonghui ◽  
Yu Chenhong ◽  
Ye Yujing

PurposeThe purpose of this article is to conduct a main path analysis of 627 articles on the theme of Pythagorean fuzzy sets (PFSs) in the Web of Science (WoS) from 2013 to 2020, to provide a conclusive and comprehensive analysis for researchers in this field, and to provide a study on preliminary understanding of PFSs.Design/methodology/approachThe research topic of Pythagorean fuzzy fields, through keyword extraction and describing the changes in characteristic themes over the past eight years, are firstly examined. Main path analysis, including local and global main paths and key route paths, is then used to reveal the most influential relationships between papers and to explore the trajectory and structure of knowledge transmission.FindingsThe application of Pythagorean fuzzy theory to the field of decision-making has been popular, and combinations of the traditional Pythagorean fuzzy decision-making method with other fuzzy sets have attracted widespread attention in recent years. In addition, over the past eight years, research interest has shifted to different types of PFSs, such as interval-valued PFSs.Research limitations/implicationsThis paper implicates to investigate the growth in certain trends in the literature and to explore the main paths of knowledge dissemination in the domain of PFSs in recent years.Originality/valueThis paper aims to identify the topics in which researchers are currently interested, to help scholars to keep abreast of the latest research on PFSs.


2020 ◽  
Vol 124 (1) ◽  
pp. 783-785
Author(s):  
John S. Liu ◽  
Louis Y. Y. Lu ◽  
Mei Hsiu-Ching Ho

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