A Topic-Based Bibliometric Review of Computers in Human Behavior: Contributors, Collaborations, and Research Topics
Xieling Chen,
Di Zou,
Haoran Xie and
Gary Cheng
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Xieling Chen: Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong 999077, China
Di Zou: Department of English Language Education, The Education University of Hong Kong, Hong Kong 999077, China
Haoran Xie: Department of Computing and Decision Sciences, Lingnan University, Hong Kong 999077, China
Gary Cheng: Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong 999077, China
Sustainability, 2021, vol. 13, issue 9, 1-21
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.
Keywords: Computers in Human Behavior; bibliometric analysis; structural topic modeling; research topics; research evolution (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:9:p:4859-:d:543711
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