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
相关论文
共 50 条
  • [21] Financial knowledge, executive decision making and enterprise innovation
    Zhang, Hao
    Zhu, Yimeng
    [J]. FINANCE RESEARCH LETTERS, 2024, 61
  • [22] Mapping the use of Google Scholar in evaluative bibliometric or scientometric studies: A bibliometric review
    Pereira, Fabiana Andrade
    Mugnaini, Rogerio
    [J]. QUANTITATIVE SCIENCE STUDIES, 2023, 4 (01): : 233 - 245
  • [23] Scientometric Analysis and Knowledge Mapping of Cybersecurity
    Alqurashi, Fahad
    Ahmad, Istiak
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2024, 15 (03) : 1177 - 1184
  • [24] Bibliometric analysis and mapping knowledge domain of pterygium: 2000-2019
    Wang, Yu-Chi
    Zhao, Fang-Kun
    Liu, Qian
    Yu, Zi-Yan
    Wang, Jing
    Zhang, Jin-Song
    [J]. INTERNATIONAL JOURNAL OF OPHTHALMOLOGY, 2021, 14 (06) : 903 - 914
  • [25] Bibliometric analysis and mapping knowledge domain of pterygium:2000-2019
    Yu-Chi Wang
    Fang-Kun Zhao
    Qian Liu
    Zi-Yan Yu
    Jing Wang
    Jin-Song Zhang
    [J]. International Journal of Ophthalmology, 2021, 14 (06) : 903 - 914
  • [26] Knowledge Mapping and Modelling in Group Decision-Making
    Brozova, Helena
    Subrt, Tomas
    [J]. AGRARIAN PERSPECTIVES XVIII, VOLS 1 AND 2, 2009, : 115 - 115
  • [27] A Bibliometric Study and Science Mapping Research of Intelligent Decision
    Li, Bo
    Xu, Zeshui
    Hong, Nan
    Hussain, Amir
    [J]. COGNITIVE COMPUTATION, 2022, 14 (03) : 989 - 1008
  • [28] A Bibliometric Study and Science Mapping Research of Intelligent Decision
    Bo Li
    Zeshui Xu
    Nan Hong
    Amir Hussain
    [J]. Cognitive Computation, 2022, 14 : 989 - 1008
  • [29] Science mapping the knowledge domain of energy performance research in the AEC industry: A scientometric analysis
    Azima, Mahshad
    Seyis, Senem
    [J]. ENERGY, 2023, 264
  • [30] Knowledge Mapping of Immunotherapy for Hepatocellular Carcinoma: A Bibliometric Study
    Shen, Jianming
    Shen, Hui
    Ke, Lixin
    Chen, Jialin
    Dang, Xi
    Liu, Baoxian
    Hua, Yunpeng
    [J]. FRONTIERS IN IMMUNOLOGY, 2022, 13