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客户关系管理向基于数据挖掘的客户关系管理的演变:一项科学计量分析。

Evolution of customer relationship management to data mining-based customer relationship management: a scientometric analysis.

作者信息

Pynadath Minnu F, Rofin T M, Thomas Sam

机构信息

Rajagiri Business School Kakkanad, Kochi, Kerala 682039 India.

Rajagiri College of Social Sciences (Autonomous), Rajagiri P.O, Kalamassery, Cochin, 683104 Kerala India.

出版信息

Qual Quant. 2022 Aug 27:1-32. doi: 10.1007/s11135-022-01500-y.

Abstract

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.

摘要

许多研究人员关注客户关系管理(CRM)的实证和概念层面。一些研究总结了聚焦特定行业的CRM研究成果。然而,与基于数据挖掘的CRM相比,总结CRM研究成果的文献却很少。本研究进行了一项科学计量分析,特别关注基于数据挖掘的CRM,对CRM研究成果进行评估。从科学网数据库中提取了2000 - 2020年期间的文献计量数据,应用描述性分析和科学计量分析来获取CRM研究的文献计量概况。此外,我们使用多重对应分析和聚类为CRM及基于数据挖掘的CRM研究领域生成了概念结构图。有趣的是,分析表明CRM研究的未来趋势将基于与机器学习和人工智能相关的技术。该研究深入洞察了CRM及基于数据挖掘的CRM研究领域的基本结构,并确定了未来的研究领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6268/9418653/f4c92e39c1c9/11135_2022_1500_Fig1_HTML.jpg

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