{"title":"人工智能时代的客户-品牌关系:理解聊天机器人营销工作的作用","authors":"Yang Cheng, Hua Jiang","doi":"10.1108/JPBM-05-2020-2907","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis study aims to explore the role of artificial intelligence (AI)-powered chatbot marketing efforts (CMEs) in the establishment of relationships between brands and their customers, extending the link between relationship marketing and online consumer behavioral intentions.\n\n\nDesign/methodology/approach\nData are collected from 1,072 customers in the USA, who used chatbot marketing activities from any of 30 brands leading their industries in messaging innovation. Structural equation modeling is used for data analysis.\n\n\nFindings\nResults show that interaction, information, accessibility, entertainment and customization are important CMEs components. CMEs have significant direct effects on the quality of communication with chatbot agents and indirectly affect customer–brand relationships (CBR) and customer response. In addition, the findings demonstrate that CBR mediates the association between communication quality and customer response.\n\n\nOriginality/value\nImplications of this study can enable practitioners to understand the effects of AI on user experiences and provide a guide for the development of CMEs strategies and relationship building.\n","PeriodicalId":48172,"journal":{"name":"Journal of Product and Brand Management","volume":null,"pages":null},"PeriodicalIF":5.2000,"publicationDate":"2021-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"47","resultStr":"{\"title\":\"Customer–brand relationship in the era of artificial intelligence: understanding the role of chatbot marketing efforts\",\"authors\":\"Yang Cheng, Hua Jiang\",\"doi\":\"10.1108/JPBM-05-2020-2907\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nThis study aims to explore the role of artificial intelligence (AI)-powered chatbot marketing efforts (CMEs) in the establishment of relationships between brands and their customers, extending the link between relationship marketing and online consumer behavioral intentions.\\n\\n\\nDesign/methodology/approach\\nData are collected from 1,072 customers in the USA, who used chatbot marketing activities from any of 30 brands leading their industries in messaging innovation. Structural equation modeling is used for data analysis.\\n\\n\\nFindings\\nResults show that interaction, information, accessibility, entertainment and customization are important CMEs components. CMEs have significant direct effects on the quality of communication with chatbot agents and indirectly affect customer–brand relationships (CBR) and customer response. In addition, the findings demonstrate that CBR mediates the association between communication quality and customer response.\\n\\n\\nOriginality/value\\nImplications of this study can enable practitioners to understand the effects of AI on user experiences and provide a guide for the development of CMEs strategies and relationship building.\\n\",\"PeriodicalId\":48172,\"journal\":{\"name\":\"Journal of Product and Brand Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2021-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"47\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Product and Brand Management\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://doi.org/10.1108/JPBM-05-2020-2907\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Product and Brand Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/JPBM-05-2020-2907","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
Customer–brand relationship in the era of artificial intelligence: understanding the role of chatbot marketing efforts
Purpose
This study aims to explore the role of artificial intelligence (AI)-powered chatbot marketing efforts (CMEs) in the establishment of relationships between brands and their customers, extending the link between relationship marketing and online consumer behavioral intentions.
Design/methodology/approach
Data are collected from 1,072 customers in the USA, who used chatbot marketing activities from any of 30 brands leading their industries in messaging innovation. Structural equation modeling is used for data analysis.
Findings
Results show that interaction, information, accessibility, entertainment and customization are important CMEs components. CMEs have significant direct effects on the quality of communication with chatbot agents and indirectly affect customer–brand relationships (CBR) and customer response. In addition, the findings demonstrate that CBR mediates the association between communication quality and customer response.
Originality/value
Implications of this study can enable practitioners to understand the effects of AI on user experiences and provide a guide for the development of CMEs strategies and relationship building.
期刊介绍:
Branding has evolved and organizations are facing a lot of new challenges when managing their brand reputations, an activity that has become strategic and interdisciplinary. The Journal of Product and Brand Management (JPBM) advances the theoretical and managerial knowledge of products and brands. Manuscripts may either report results based on rigorously analysed qualitative/quantitative data or be purely conceptual. All manuscripts must offer significant research findings and insights and offer meaningful implications for the real world. This journal is proudly international and inter-disciplinary. We publish manuscripts which compare international markets and encourage submissions approaching branding and product management from any discipline. We focus on all aspects of branding and product management from development to dilution. This includes areas as broad as person, place or political brands.