Navigating the landscape of e-commerce: thematic clusters, intellectual turning points, and burst patterns in online reputation management

Recognizing the challenges identified in the vast literature exploring the intellectual landscape of Online Reputation Management (ORM) in the realm of e-commerce, this study performs a quantitative bibliometric analysis, specifically a co-citation analysis using CiteSpace software, to find thematic...

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Detalles Bibliográficos
Autores: López-López, David, Plaza-Navas, Miquel Àngel, Torres-Pruñonosa, José, Martinez, Luis F.
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/394667
Acceso en línea:http://hdl.handle.net/10261/394667
Access Level:acceso abierto
Palabra clave:Online reputation management (ORM), Bibliometric analysis, Co-citation analysis, Cluster analysis, Intellectual turning points
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spelling Navigating the landscape of e-commerce: thematic clusters, intellectual turning points, and burst patterns in online reputation managementLópez-López, DavidPlaza-Navas, Miquel ÀngelTorres-Pruñonosa, JoséMartinez, Luis F.Online reputation management (ORM), Bibliometric analysis, Co-citation analysis, Cluster analysis, Intellectual turning pointsRecognizing the challenges identified in the vast literature exploring the intellectual landscape of Online Reputation Management (ORM) in the realm of e-commerce, this study performs a quantitative bibliometric analysis, specifically a co-citation analysis using CiteSpace software, to find thematic clusters in a sample of 1136 papers containing 48,385 cited references. This is the first co-citation analysis of ORM literature that cluster the intellectual structure and identifies both the intellectual turning points and burst papers. The results reveal 14 distinct co-citation clusters, each representing a unique thematic structure. An in-depth analysis further characterizes the clusters, ranging from the impact of online reputation on the hospitality industry to frameworks explaining trust formation in e-commerce. Additionally, the study identifies intellectual turning points by assessing betweenness centrality, highlighting four seminal papers that have strongly influenced the field. Furthermore, burst detection analysis uncovers the temporal dynamics of research trends, showcasing the enduring influence of certain clusters and the transient nature of burst patterns. The novelty and importance of the results from the detailed burst detection analysis lie in identifying a significant evolution in research focus over time. Initially, research was concentrated on foundational studies and understanding customer behavior. It then shifted towards practical applications in specific industries, particularly in hospitality and online reviews. In recent years, the emphasis has been on integrating ORM into broader business strategies, especially within e-commerce and the collaborative economy. This research not only contributes to a deeper understanding of ORM, but also serves as a valuable guide for researchers, practitioners, and policymakers in the evolving landscape of online reputation in e-commerce.This work was funded by Fundação para a Ciência e a Tecnologia (UIDB/00124/2020, UIDP/00124/2020 and Social Sciences DataLab—PINFRA/22209/2016), POR Lisboa and POR Norte (Social Sciences DataLab, PINFRA/22209/2016). This paper was also financed by Universidad Internacional de la Rioja (PP-2023-10).Open access funding provided by FCT|FCCN (b-on).Peer reviewedFundação para a Ciência e a Tecnologia (Portugal)Universidad Internacional de La RiojaFCCN Serviços digitaisConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2025202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/394667reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)http://dx.doi.org/10.1007/s10660-024-09893-8Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3946672026-05-22T06:33:51Z
dc.title.none.fl_str_mv Navigating the landscape of e-commerce: thematic clusters, intellectual turning points, and burst patterns in online reputation management
title Navigating the landscape of e-commerce: thematic clusters, intellectual turning points, and burst patterns in online reputation management
spellingShingle Navigating the landscape of e-commerce: thematic clusters, intellectual turning points, and burst patterns in online reputation management
López-López, David
Online reputation management (ORM), Bibliometric analysis, Co-citation analysis, Cluster analysis, Intellectual turning points
title_short Navigating the landscape of e-commerce: thematic clusters, intellectual turning points, and burst patterns in online reputation management
title_full Navigating the landscape of e-commerce: thematic clusters, intellectual turning points, and burst patterns in online reputation management
title_fullStr Navigating the landscape of e-commerce: thematic clusters, intellectual turning points, and burst patterns in online reputation management
title_full_unstemmed Navigating the landscape of e-commerce: thematic clusters, intellectual turning points, and burst patterns in online reputation management
title_sort Navigating the landscape of e-commerce: thematic clusters, intellectual turning points, and burst patterns in online reputation management
dc.creator.none.fl_str_mv López-López, David
Plaza-Navas, Miquel Àngel
Torres-Pruñonosa, José
Martinez, Luis F.
author López-López, David
author_facet López-López, David
Plaza-Navas, Miquel Àngel
Torres-Pruñonosa, José
Martinez, Luis F.
author_role author
author2 Plaza-Navas, Miquel Àngel
Torres-Pruñonosa, José
Martinez, Luis F.
author2_role author
author
author
dc.contributor.none.fl_str_mv Fundação para a Ciência e a Tecnologia (Portugal)
Universidad Internacional de La Rioja
FCCN Serviços digitais
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Online reputation management (ORM), Bibliometric analysis, Co-citation analysis, Cluster analysis, Intellectual turning points
topic Online reputation management (ORM), Bibliometric analysis, Co-citation analysis, Cluster analysis, Intellectual turning points
description Recognizing the challenges identified in the vast literature exploring the intellectual landscape of Online Reputation Management (ORM) in the realm of e-commerce, this study performs a quantitative bibliometric analysis, specifically a co-citation analysis using CiteSpace software, to find thematic clusters in a sample of 1136 papers containing 48,385 cited references. This is the first co-citation analysis of ORM literature that cluster the intellectual structure and identifies both the intellectual turning points and burst papers. The results reveal 14 distinct co-citation clusters, each representing a unique thematic structure. An in-depth analysis further characterizes the clusters, ranging from the impact of online reputation on the hospitality industry to frameworks explaining trust formation in e-commerce. Additionally, the study identifies intellectual turning points by assessing betweenness centrality, highlighting four seminal papers that have strongly influenced the field. Furthermore, burst detection analysis uncovers the temporal dynamics of research trends, showcasing the enduring influence of certain clusters and the transient nature of burst patterns. The novelty and importance of the results from the detailed burst detection analysis lie in identifying a significant evolution in research focus over time. Initially, research was concentrated on foundational studies and understanding customer behavior. It then shifted towards practical applications in specific industries, particularly in hospitality and online reviews. In recent years, the emphasis has been on integrating ORM into broader business strategies, especially within e-commerce and the collaborative economy. This research not only contributes to a deeper understanding of ORM, but also serves as a valuable guide for researchers, practitioners, and policymakers in the evolving landscape of online reputation in e-commerce.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/394667
url http://hdl.handle.net/10261/394667
dc.relation.none.fl_str_mv http://dx.doi.org/10.1007/s10660-024-09893-8
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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