客户参与度
客户宣传
知识管理
概念框架
客户保留
营销
业务
客户情报
客户的声音
客户对客户
服务(商务)
过程管理
服务质量
计算机科学
社会学
万维网
社会化媒体
社会科学
作者
Candice L. Marti,H Liu,Gurpreet Kour,Anil Bilgihan,Yu Xu
出处
期刊:Journal of Service Management
日期:2024-03-18
卷期号:35 (3): 438-458
被引量:5
标识
DOI:10.1108/josm-10-2023-0443
摘要
Purpose In an era where complex technological advances increasingly govern service delivery, it is incumbent on service firms to pioneer innovative strategies to sustain customer engagement and cultivate loyalty. This conceptual paper examines the transformative potential of artificial intelligence (AI) in the realm of online customer communities, with a particular focus on its creation, management and enhancement facets. The authors explore how AI can revolutionize the dynamics of customer interaction, feedback mechanisms and overall engagement within the service industry. Design/methodology/approach This conceptual paper draws from marketing and management literature focusing on customer communities and AI in service and customer engagement contexts with a robust future research agenda. Findings A classification of online customer community engagement is provided along with a conceptual framework to guide our understanding of the integration of AI into online customer communities. Originality/value This exploration underscores the imperative for service firms to embrace AI-driven approaches to online customer community management, not only as a means to optimize their operations but as a vital strategy to stay competitive in the ever-evolving digital landscape. This paper examines the novel combination of AI with online customer communities and provides the framework in the form of an input-process-output (IPO) model for future research into this integration.
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