User Satisfaction with an AI-Enabled Customer Relationship Management Chatbot

被引:3
|
作者
Sohail, Maarif [1 ]
Mohsin, Zehra [2 ]
Khaliq, Sehar [3 ]
机构
[1] McMaster Univ, DeGroote Sch Business, Hamilton, ON, Canada
[2] Lahore Coll Women Univ, Lahore, Pakistan
[3] Fdn Univ Islamabad, Islamabad, Pakistan
关键词
Artificial Intelligence (AI); Customer Relationship Management (CRM); Electronic Commerce (E-Commerce); Expectation Confirmation Theory (ECT); Uncertainty Reduction Theory (URT); SELF-SERVICE TECHNOLOGY; MODEL; INFORMATION; ADOPTION; CONSEQUENCES; ANTECEDENTS; ACCEPTANCE; COMMERCE; QUALITY; TRUST;
D O I
10.1007/978-3-030-90176-9_36
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Chatbots' ability to carry out focused, result-oriented online conversations with human end-users impacts user experience and user satisfaction. Using "Chatbots" as key identifiable examples utilized by Electronic Commerce (E-Commerce) firms in Customer Relationship Management (CRM), this study offers a user satisfaction model in the context of Artificial Intelligence (AI) enabled CRM in E-Commerce. The model is based on Expectation Confirmation Theory (ECT) and Uncertainty Reduction Theory (URT) within the Chatbot context. This model will allow us to investigate if chatbots can provide both businesses and consumers the opportunity to complete a journey from normal through abnormal to the new normal in situations similar to a covid pandemic.
引用
收藏
页码:279 / 287
页数:9
相关论文
共 50 条
  • [41] AI-powered chatbot communication with customers: Dialogic interactions, satisfaction, engagement, and customer behavior
    Jiang, Hua
    Cheng, Yang
    Yang, Jeongwon
    Gao, Shanbing
    COMPUTERS IN HUMAN BEHAVIOR, 2022, 134
  • [42] Investigating the User Experience and Evaluating Usability Issues in AI-Enabled Learning Mobile Apps: An Analysis of User Reviews
    Alsanousi, Bassam
    Albesher, Abdulmohsen S.
    Do, Hyunsook
    Ludi, Stephanie
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2023, 14 (06) : 18 - 29
  • [43] XR and AI: AI-Enabled Virtual, Augmented, and Mixed Reality
    Suzuki, Ryo
    Gonzalez-Franco, Mar
    Sra, Misha
    Lindlbauer, David
    ADJUNCT PROCEEDINGS OF THE 36TH ANNUAL ACM SYMPOSIUM ON USER INTERFACE SOFTWARE & TECHNOLOGY, UIST 2023 ADJUNCT, 2023,
  • [44] Generative AI-enabled supply chain management: The critical role of coordination and dynamism
    Li, Lixu
    Liu, Yaoqi
    Jin, Yong
    Cheng, T. C. Edwin
    Zhang, Qianjun
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2024, 277
  • [45] A Study of Management to Develop Adaptable AI-enabled Robots toward Inclusive Society
    Okabe, Kohei
    Hirata, Yasuhisa
    2022 61ST ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS (SICE), 2022, : 1369 - 1374
  • [46] AI-Enabled Space-Air-Ground Integrated Networks: Management and Optimization
    Zhang, Peiying
    Chen, Ning
    Shen, Shigen
    Yu, Shui
    Kumar, Neeraj
    Hsu, Ching-Hsien
    IEEE NETWORK, 2024, 38 (02): : 186 - 192
  • [47] AI-enabled image fraud in scientific publications
    Gu, Jinjin
    Wang, Xinlei
    Li, Chenang
    Zhao, Junhua
    Fu, Weijin
    Liang, Gaoqi
    Qiu, Jing
    PATTERNS, 2022, 3 (07):
  • [48] The Role of AI-Enabled Human Resource Practices Towards Task Satisfaction and Employee Creative Willingness
    Sweiss, Mohammad Ibrahim Kamel
    Yamin, Mohammad Ali Yousef
    SAGE OPEN, 2024, 14 (03):
  • [49] Just preparation for war and AI-enabled weapons
    Regan, Mitt
    Davidovic, Jovana
    FRONTIERS IN BIG DATA, 2023, 6
  • [50] AI-enabled Enterprise Information Systems for Manufacturing
    Zdravkovic, Milan
    Panetto, Herve
    Weichhart, Georg
    ENTERPRISE INFORMATION SYSTEMS, 2022, 16 (04) : 668 - 720