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Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis
Scores of researchers have paid attention to empirical and conceptual dimensions of Customer relationship management (CRM). A few studies summarise the research output of CRM focusing on a specific industry. Nevertheless, there is scant literature summarising the research output of CRM in contrast t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418653/ https://www.ncbi.nlm.nih.gov/pubmed/36060545 http://dx.doi.org/10.1007/s11135-022-01500-y |
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author | Pynadath, Minnu F. Rofin, T. M. Thomas, Sam |
author_facet | Pynadath, Minnu F. Rofin, T. M. Thomas, Sam |
author_sort | Pynadath, Minnu F. |
collection | PubMed |
description | Scores of researchers have paid attention to empirical and conceptual dimensions of Customer relationship management (CRM). A few studies summarise the research output of CRM focusing on a specific industry. Nevertheless, there is scant literature summarising the research output of CRM in contrast to the data mining-based CRM. This study presents a scientometric analysis that evaluates CRM research output with a special focus on data mining-based CRM. Bibliometric data were extracted for the period 2000–2020 from the Web of Science database to apply descriptive analysis and scientometric analysis to obtain the bibliometric profile of CRM research. Further, we generated the conceptual structure map using multiple correspondence analysis and clustering for CRM and data mining-based CRM research fields. Interestingly, the analysis revealed that the future trendfi of CRM research would be based on techniques associated with machine learning and artificial intelligence. The study provides extensive insight into the basic structure of the CRM and data mining-based CRM research domain and identifies future research areas. |
format | Online Article Text |
id | pubmed-9418653 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-94186532022-08-30 Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis Pynadath, Minnu F. Rofin, T. M. Thomas, Sam Qual Quant Article Scores of researchers have paid attention to empirical and conceptual dimensions of Customer relationship management (CRM). A few studies summarise the research output of CRM focusing on a specific industry. Nevertheless, there is scant literature summarising the research output of CRM in contrast to the data mining-based CRM. This study presents a scientometric analysis that evaluates CRM research output with a special focus on data mining-based CRM. Bibliometric data were extracted for the period 2000–2020 from the Web of Science database to apply descriptive analysis and scientometric analysis to obtain the bibliometric profile of CRM research. Further, we generated the conceptual structure map using multiple correspondence analysis and clustering for CRM and data mining-based CRM research fields. Interestingly, the analysis revealed that the future trendfi of CRM research would be based on techniques associated with machine learning and artificial intelligence. The study provides extensive insight into the basic structure of the CRM and data mining-based CRM research domain and identifies future research areas. Springer Netherlands 2022-08-27 /pmc/articles/PMC9418653/ /pubmed/36060545 http://dx.doi.org/10.1007/s11135-022-01500-y Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Pynadath, Minnu F. Rofin, T. M. Thomas, Sam Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis |
title | Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis |
title_full | Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis |
title_fullStr | Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis |
title_full_unstemmed | Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis |
title_short | Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis |
title_sort | evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9418653/ https://www.ncbi.nlm.nih.gov/pubmed/36060545 http://dx.doi.org/10.1007/s11135-022-01500-y |
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