Bibliometric analysis of social media persuasiveness and influence: a comprehensive review from 2010 to 2023
As part of this bibliometric analysis, the literature on social media persuasiveness and influence is examined between 2010 and 2023. This study explores academic output, influential publications, authors, institutions, and countries in this field by utilising bibliometric analyses, performance anal...
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Format: | Article |
Language: | English |
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Taylor & Francis Group
2025-12-01
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Series: | Cogent Business & Management |
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Online Access: | https://www.tandfonline.com/doi/10.1080/23311975.2024.2449247 |
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author | Arfan Rehman Sherief Arun Kumar Tarofder Aidarus Mohamed Ibrahim Raja Irfan Sabir Muhammad Ahmad Asad Ur Rahman |
author_facet | Arfan Rehman Sherief Arun Kumar Tarofder Aidarus Mohamed Ibrahim Raja Irfan Sabir Muhammad Ahmad Asad Ur Rahman |
author_sort | Arfan Rehman Sherief |
collection | DOAJ |
description | As part of this bibliometric analysis, the literature on social media persuasiveness and influence is examined between 2010 and 2023. This study explores academic output, influential publications, authors, institutions, and countries in this field by utilising bibliometric analyses, performance analyses, and thematic clustering. 195 documents are retrieved from SCOPUS and are analysed using VOSviewer for thematic clustering and performance analysis. According to the findings, 2022 was the most productive year for social media impact and persuasiveness publications. It was reported that the School of Management of the University of Science and Technology of China, the Management School at Anhui University, and the Department of Finance and Decision Sciences at Hong Kong Baptist University received a total of 376 citations. The most cited article was ‘Examining the Influence of Online Reviews on Consumers’ Decision-making: A Heuristic-Systematic Model’’, which received 376 citations among the top five journals. This study provides valuable insights for researchers, practitioners, and policymakers interested in leveraging social media’s persuasive capabilities. It does so by identifying six distinct clusters within the literature. |
format | Article |
id | doaj-art-84ab516b4f994d1096ebf8ceaaf5851a |
institution | Kabale University |
issn | 2331-1975 |
language | English |
publishDate | 2025-12-01 |
publisher | Taylor & Francis Group |
record_format | Article |
series | Cogent Business & Management |
spelling | doaj-art-84ab516b4f994d1096ebf8ceaaf5851a2025-01-29T04:17:29ZengTaylor & Francis GroupCogent Business & Management2331-19752025-12-0112110.1080/23311975.2024.2449247Bibliometric analysis of social media persuasiveness and influence: a comprehensive review from 2010 to 2023Arfan Rehman Sherief0Arun Kumar Tarofder1Aidarus Mohamed Ibrahim2Raja Irfan Sabir3Muhammad Ahmad4Asad Ur Rahman5School of Graduate Studies (SGS), Management & Science University, Shah Alam, MalaysiaFaculty of Business and Law, School of Management and Marketing, Taylor’s University, Subang JayaCollege of Computing & IT, University of Hargeisa, Hargeisa, SomaliaDepartment of Management Sciences, University of Central PunjabDepartment of Business Management and Professional Studies, Management & Science University, Shah Alam, MalaysiaDepartment of Business Management and Professional Studies, Management & Science University, Shah Alam, MalaysiaAs part of this bibliometric analysis, the literature on social media persuasiveness and influence is examined between 2010 and 2023. This study explores academic output, influential publications, authors, institutions, and countries in this field by utilising bibliometric analyses, performance analyses, and thematic clustering. 195 documents are retrieved from SCOPUS and are analysed using VOSviewer for thematic clustering and performance analysis. According to the findings, 2022 was the most productive year for social media impact and persuasiveness publications. It was reported that the School of Management of the University of Science and Technology of China, the Management School at Anhui University, and the Department of Finance and Decision Sciences at Hong Kong Baptist University received a total of 376 citations. The most cited article was ‘Examining the Influence of Online Reviews on Consumers’ Decision-making: A Heuristic-Systematic Model’’, which received 376 citations among the top five journals. This study provides valuable insights for researchers, practitioners, and policymakers interested in leveraging social media’s persuasive capabilities. It does so by identifying six distinct clusters within the literature.https://www.tandfonline.com/doi/10.1080/23311975.2024.2449247Social mediasocial networksocial media persuasionsocial media influencebibliometric analysisperformance analysis |
spellingShingle | Arfan Rehman Sherief Arun Kumar Tarofder Aidarus Mohamed Ibrahim Raja Irfan Sabir Muhammad Ahmad Asad Ur Rahman Bibliometric analysis of social media persuasiveness and influence: a comprehensive review from 2010 to 2023 Cogent Business & Management Social media social network social media persuasion social media influence bibliometric analysis performance analysis |
title | Bibliometric analysis of social media persuasiveness and influence: a comprehensive review from 2010 to 2023 |
title_full | Bibliometric analysis of social media persuasiveness and influence: a comprehensive review from 2010 to 2023 |
title_fullStr | Bibliometric analysis of social media persuasiveness and influence: a comprehensive review from 2010 to 2023 |
title_full_unstemmed | Bibliometric analysis of social media persuasiveness and influence: a comprehensive review from 2010 to 2023 |
title_short | Bibliometric analysis of social media persuasiveness and influence: a comprehensive review from 2010 to 2023 |
title_sort | bibliometric analysis of social media persuasiveness and influence a comprehensive review from 2010 to 2023 |
topic | Social media social network social media persuasion social media influence bibliometric analysis performance analysis |
url | https://www.tandfonline.com/doi/10.1080/23311975.2024.2449247 |
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