Mapping the knowledge domain of financial decision making: A scientometric and bibliometric study

被引:3
|
作者
Guo, Lin [1 ]
Cheng, Junlong [2 ,3 ]
Zhang, Zhishuo [4 ]
机构
[1] Univ Newcastle, Business Sch, Newcastle Upon Tyne, Tyne & Wear, England
[2] Beijing Foreign Studies Univ, Res Inst Foreign Languages, Beijing, Peoples R China
[3] Guizhou Educ Univ, Sch Foreign Languages, Guiyang, Peoples R China
[4] Beijing Foreign Studies Univ, Int Business Sch, Beijing, Peoples R China
来源
FRONTIERS IN PSYCHOLOGY | 2022年 / 13卷
基金
中国国家自然科学基金;
关键词
financial decision making; investment decision; hot spots; research trend; scientometric analysis; individual difference; GENDER-DIFFERENCES; BEHAVIORAL FINANCE; CEO OVERCONFIDENCE; NEURAL-NETWORKS; CREDIT RISK; LITERACY; FRAMEWORK; COGNITION; CAPACITY; OLDER;
D O I
10.3389/fpsyg.2022.1006412
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Based on a 12-year bibliographic record collected from the Web of Science (Thomson Reuters) database, the present study aims to provide a macroscopic overview of the knowledge domain in financial decision making (FDM). A scientometric and bibliometric analysis was conducted on the literature published in the field from 2010 to 2021, using the CiteSpace software. The analysis focuses on the co-occurring categories, the geographic distributions, the vital references, the distribution of topics, as well as the research fronts and emerging trends of financial related decision making. The steady increase of papers published year by year demonstrated the increasing interest on this topic at the international level. The scientometric analysis of the literature showed that financial decision, investment decision, and financing decision stood out of the crowd of the research on FDM, suggesting their important role in FDM and its research. The results of citation burst analysis predicted the focus of topics, i.e., the impact of individual differences such as financial literacy, gender and age on FDM in the coming years. Different from the traditional approach of literature review, this bibliometric analysis offers a scientometric approach to reveal the status quo and the development trend of FDM by macro and quantitative means. In addition, future research directions for the field are recommended.
引用
收藏
页数:16
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