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International Research Progress and Evolution Trend of Interpersonal Trust—Prospects under COVID-19 Pandemic

Author

Listed:
  • Bin Ji

    (School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, China)

  • Ruyin Long

    (The Institute for Jiangnan Culture, Jiangnan University, Wuxi 214122, China
    School of Business, Jiangnan University, Wuxi 214122, China)

Abstract

Retrospecting articles on interpersonal trust is of great importance for understanding its current status and future development in the context of the COVID-19 pandemic, especially, with the widespread use of Big Data and Blockchain. In total, 1532 articles related to interpersonal trust were collected as research database to draw keyword co-occurrence mapping and timeline mapping by VOSviewer and CiteSpace. On this basis, the research content and evolution trend of interpersonal trust were systematically analyzed. The results show that: (1) Data cleaning by code was first integrated with Knowledge Mapping and then used to review the research of interpersonal trust; (2) Developed countries have contributed the most to the research of interpersonal trust; (3) Social capital, knowledge sharing, job and organizational performance, Chinese Guanxi are the research hotspots of interpersonal trust; (4) The research hotspots on interpersonal trust evolve from the level of individual psychology and behavior to the level of social stability and development and then to the level of organization operation and management; (5) At present, the research on interpersonal trust is in the outbreak period; fMRI technology and Big Data and Blockchain technology gradually become vital research tools of interpersonal trust, which provides significant prospects for the following research of interpersonal trust under the COVID-19 pandemic.

Suggested Citation

  • Bin Ji & Ruyin Long, 2022. "International Research Progress and Evolution Trend of Interpersonal Trust—Prospects under COVID-19 Pandemic," Sustainability, MDPI, vol. 14(2), pages 1-15, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:987-:d:726099
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    Cited by:

    1. Aleksey N. Raskhodchikov & Maria Pilgun, 2023. "COVID-19 and Public Health: Analysis of Opinions in Social Media," IJERPH, MDPI, vol. 20(2), pages 1-27, January.

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