Bibliometric insights into mobile money and data trendsMendeley Data

This data aims to analyze the intellectual structure of mobile money studies by examining bibliographic characteristics. A dataset of 165 documents from the Scopus database was used. This study explored various aspects, including annual publication counts, country coupling, source numbers, primary r...

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Main Author: Thi Thuy Hang Vu
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Data in Brief
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925003646
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author Thi Thuy Hang Vu
author_facet Thi Thuy Hang Vu
author_sort Thi Thuy Hang Vu
collection DOAJ
description This data aims to analyze the intellectual structure of mobile money studies by examining bibliographic characteristics. A dataset of 165 documents from the Scopus database was used. This study explored various aspects, including annual publication counts, country coupling, source numbers, primary research areas, co-occurrence of keywords, bibliographic linkages between sources and documents, and co-citation patterns of references. Bibliographic network mapping techniques were applied to analyze the data. The analysis was performed using VOSviewer and the Bibliometrix R package, software tools for scientific mapping. The results showed four main themes of the mobile money dataset: mobile money in Africa, financial inclusion, electronic money, and digital financial services.
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spelling doaj-art-95ef682c1fc04b07aaedf0d6bf721a452025-08-20T03:10:24ZengElsevierData in Brief2352-34092025-06-016011163310.1016/j.dib.2025.111633Bibliometric insights into mobile money and data trendsMendeley DataThi Thuy Hang Vu0Faculty of Economic Information System and Electronic Commerce, Thuongmai University, Hanoi 100000, VietnamThis data aims to analyze the intellectual structure of mobile money studies by examining bibliographic characteristics. A dataset of 165 documents from the Scopus database was used. This study explored various aspects, including annual publication counts, country coupling, source numbers, primary research areas, co-occurrence of keywords, bibliographic linkages between sources and documents, and co-citation patterns of references. Bibliographic network mapping techniques were applied to analyze the data. The analysis was performed using VOSviewer and the Bibliometrix R package, software tools for scientific mapping. The results showed four main themes of the mobile money dataset: mobile money in Africa, financial inclusion, electronic money, and digital financial services.http://www.sciencedirect.com/science/article/pii/S2352340925003646Mobile moneyData trendsBibliometric analysisVOSviewerBibliometrix R package
spellingShingle Thi Thuy Hang Vu
Bibliometric insights into mobile money and data trendsMendeley Data
Data in Brief
Mobile money
Data trends
Bibliometric analysis
VOSviewer
Bibliometrix R package
title Bibliometric insights into mobile money and data trendsMendeley Data
title_full Bibliometric insights into mobile money and data trendsMendeley Data
title_fullStr Bibliometric insights into mobile money and data trendsMendeley Data
title_full_unstemmed Bibliometric insights into mobile money and data trendsMendeley Data
title_short Bibliometric insights into mobile money and data trendsMendeley Data
title_sort bibliometric insights into mobile money and data trendsmendeley data
topic Mobile money
Data trends
Bibliometric analysis
VOSviewer
Bibliometrix R package
url http://www.sciencedirect.com/science/article/pii/S2352340925003646
work_keys_str_mv AT thithuyhangvu bibliometricinsightsintomobilemoneyanddatatrendsmendeleydata