{"title":"Leveraging artificial intelligence in firm-generated online customer communities: a framework and future research agenda","authors":"Candice L. Marti, Huimin Liu, Gurpreet Kour, Anil Bilgihan, Yu Xu","doi":"10.1108/josm-10-2023-0443","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>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.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>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.</p><!--/ Abstract__block -->","PeriodicalId":48089,"journal":{"name":"Journal of Service Management","volume":"35 1","pages":""},"PeriodicalIF":7.8000,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Service Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/josm-10-2023-0443","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
The Journal of Service Management (JOSM) centers its scope on research in service management. It disseminates papers showcasing distinctive and noteworthy contributions to service literature, serving as a communication platform for individuals in the service management field, transcending disciplines, functional areas, sectors, and nationalities. The journal publishes double-blind reviewed papers emphasizing service literature/theory and its practical applications.