A Topic-Based Bibliometric Review of Computers in Human Behavior: Contributors, Collaborations, and Research Topics

Xieling CHEN, Di ZOU*, Haoran XIE, Gary CHENG

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

Computers in Human Behavior (CHB) is a well-established source with a wide range of audiences in the field of human interactions with computers and has been one of the most widely acknowledged and leading venues with significant scientific impact for more than 35 years. This review provides an overview of the status, trends, and particularly the thematic structure of the CHB by adopting bibliometrics and structural topic modeling on 5957 studies. Specifically, we analyzed the trend of publications, identified major institutions and countries/regions, detected scientific collaboration patterns, and uncovered important topics. Significant findings were presented. For example, the contribution of the USA and Open University of Netherlands was highlighted. Important research topics such as e-commerce, social interactions and behaviors, public opinion and social media, cyberbullying, online sexual issues, and game and gamification were identified. This review contributes to the CHB community by justifying the interest in human behavior issues concerning computer use and identifying future research lines on this topic.
Original languageEnglish
Article number4859
JournalSustainability
Volume13
Issue number9
Early online date26 Apr 2021
DOIs
Publication statusPublished - 1 May 2021

Bibliographical note

Funding Information:
This research was funded by the Teaching Development Grant (102489) and HKIBS Research Program Grant Application (HCRG-201-002, 702024) of Lingnan University, Hong Kong, the One-off Special Fund from Central and Faculty Fund in Support of Research from 2019/20 to 2021/22 (MIT02/19-20), the Research Cluster Fund (RG 78/2019-2020R), the Interdisciplinary Research Scheme of the Dean?s Research Fund 2019-20 (FLASS/DRF/IDS-2) of The Education University of Hong Kong and ?The APC was funded by the One-off Special Fund from Central and Faculty Fund in Support of Research from 2019/20 to 2021/22 (MIT02/19-20) of The Education University of Hong Kong?.

Funding Information:
Funding: This research was funded by the Teaching Development Grant (102489) and HKIBS Research Program Grant Application (HCRG-201-002, 702024) of Lingnan University, Hong Kong, the One-off Special Fund from Central and Faculty Fund in Support of Research from 2019/20 to 2021/22 (MIT02/19-20), the Research Cluster Fund (RG 78/2019-2020R), the Interdisciplinary Research Scheme of the Dean’s Research Fund 2019-20 (FLASS/DRF/IDS-2) of The Education University of Hong Kong and “The APC was funded by the One-off Special Fund from Central and Faculty Fund in Support of Research from 2019/20 to 2021/22 (MIT02/19-20) of The Education University of Hong Kong”.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Computers in Human Behavior
  • bibliometric analysis
  • structural topic modeling;
  • research evolution
  • research topics

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