Leveraging artificial intelligence in firm-generated online customer communities: a framework and future research agenda

IF 7.8 2区 管理学 Q1 MANAGEMENT
Candice L. Marti, Huimin Liu, Gurpreet Kour, Anil Bilgihan, Yu Xu
{"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.

在企业生成的在线客户社区中利用人工智能:框架和未来研究议程
目的 在一个复杂的技术进步日益影响服务提供的时代,服务公司有责任开拓创新战略,以维持客户参与度并培养忠诚度。这篇概念性论文探讨了人工智能(AI)在在线客户社区领域的变革潜力,尤其关注其创建、管理和提升方面。作者探讨了人工智能如何彻底改变客户互动的动态、反馈机制以及服务行业的整体参与度。设计/方法/方法这篇概念性论文借鉴了营销和管理方面的文献,侧重于服务和客户参与背景下的客户社区和人工智能,并提出了强有力的未来研究议程。研究结果本文对在线客户社区参与度进行了分类,并提供了一个概念框架,以指导我们理解将人工智能融入在线客户社区的问题。原创性/价值本文的探讨强调了服务公司采用人工智能驱动的在线客户社区管理方法的必要性,这不仅是优化运营的一种手段,也是在不断发展的数字环境中保持竞争力的重要战略。本文探讨了人工智能与在线客户社区的新颖结合,并以输入-过程-输出(IPO)模型的形式提供了未来研究这种整合的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
19.20
自引率
9.40%
发文量
55
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信