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中国管理科学 ›› 2025, Vol. 33 ›› Issue (7): 1-10.doi: 10.16381/j.cnki.issn1003-207x.2022.2163

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数字化全渠道客户行为:研究热点与知识框架

陈晓红1,2,4,5, 杨志慧3(), 胡东滨1   

  1. 1.中南大学商学院,湖南 长沙 410083
    2.湖南工商大学前沿交叉学院,湖南 长沙 410205
    3.湖南财政经济学院信息技术与管理学院,湖南 长沙 410205
    4.湖南工商大学管理科学与工程学院,湖南 长沙 410205
    5.湘江实验室,湖南 长沙 410205
  • 收稿日期:2022-10-10 修回日期:2023-05-17 出版日期:2025-07-25 发布日期:2025-08-06
  • 通讯作者: 杨志慧 E-mail:yangzhihui33@163.com
  • 基金资助:
    国家自然科学基金重大项目(71991460);国家自然科学基金重大项目(71991463)

Digital Omnichannel Customer Behavior: Research Hotspots and Knowledge Framework

Xiaohong Chen1,2,4,5, Zhihui Yang3(), Dongbin Hu1   

  1. 1.Business School,Central South University,Changsha 410083,China
    2.School of Advanced Interdisciplinary Studies,Hunan University of Technology and Business,Changsha 410205,China
    3.School of Information Technology and Management,Hunan University of Finance and Economics,Changsha 410205,China
    4.School of Management Science and Engineering,Hunan University of Technology and Business,Changsha 410205,China
    5.Xiangjiang Laboratory,Changsha 410205,China
  • Received:2022-10-10 Revised:2023-05-17 Online:2025-07-25 Published:2025-08-06
  • Contact: Zhihui Yang E-mail:yangzhihui33@163.com

摘要:

伴随产业数字化渗透率的逐渐提高,全渠道模式不断演进升级。多渠道、多场景、多触点下的数字化全渠道客户行为更具复杂性和不确定性,成为实践界关注和学术界聚焦的热点议题。为此,本文收集了2000-2022年期间的340篇英文文献,采用描述性分析、合作网络分析、关键词共现分析和聚类分析等具体的文献计量学技术,探索该领域的研究现状和热点主题。研究结果表明:该领域研究热度持续上升,展现出较强发展潜力;中国和美国是文献发表数量最多的国家;研究机构间的局部合作网络已经形成。最后,根据SOR理论构建了数字化全渠道客户行为的知识框架。本研究的研究思路和结论对后续的学术研究和企业实践均有一定的启发性。

关键词: 数字技术, 全渠道客户行为, 文献计量法, 关键词共现分析, 科学图谱

Abstract:

In recent years, the popularity of mobile devices, the global COVID-19 pandemic and the rapid development of digital technology have significantly changed consumer shopping behaviour and habits. With the continuous penetration of industrial digitalisation, the omnichannel model is constantly evolving and upgrading. The digital omnichannel customer behaviour under multi-channel, multi-scene and multi-touch-points is more complex and uncertain, and how to accurately capture customer behaviour and effectively satisfy customers’ personalised needs is increasingly becoming the focus of attention in the industry and academia.Driven by reality and theoretical needs, the bibliometric analysis method is adopted to analyse the 340 English-language articles cited in the core database of Web of Science from 2000 to 2022 and the two major techniques of performance analysis and scientific mapping are applied. On the one hand, the publication trends, journal sources and core papers of the research field are systematically sorted out; on the other hand, the cooperation network among the research fields is obtained from the micro-, meso-, and macro-levels, and the most prominent research topics in the field are obtained, according to which the logical knowledge framework is constructed.The results show that (1) the academic interest in this field is expected to explode in the future, with China and the United States being the countries with the highest publication output, and local cooperative networks between research institutions have been formed; (2) the field focuses on seven major research themes: webrooming, channel dissynergies, supply chain management, brand management, digital products, online retail and omnichannel retail; (3) the knowledge framework of digital omnichannel customer behaviour is constructed based on the SOR theory, and the future research directions are proposed from the whole-journey customer behaviour of “pre-purchase → mid-purchase → post-purchase” throughout the customer behaviour journey. The current research status of digital omnichannel customer behaviour is sortedout, several prominent research hotspots are explored, the application context and practical potential of digital technology are expanded, the theoretical connotation of consumer behaviour is enriched, and useful management implications for subsequent academic research and business practice are provided.

Key words: digital technology, omnichannel customer behavior, bibliometrics, keyword co-occurrence analysis, science mapping

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