Intention to Adopt AI-Powered Online Service Among Tourism and Hospitality Companies

被引:6
|
作者
Ho, Yi-Hui [1 ]
Alam, Syed Shah [2 ]
Masukujjaman, Mohammad [3 ]
Lin, Chieh-Yu [1 ]
Susmit, Samiha [4 ]
Susmit, Sumaiya [4 ]
机构
[1] Chang Jung Christian University, Taiwan
[2] Universiti Kebangsaan Malaysia, Malaysia
[3] Northern University, Bangladesh
[4] Universiti Teknologi Malaysia, Malaysia
关键词
D O I
10.4018/IJTHI.299357
中图分类号
学科分类号
摘要
This study examines the factors affecting the adoption of artificial intelligence (AI)-powered online services in the tourism and hospitality sector through an extension of the technology acceptance model (TAM) by including self-efficacy, subjective norms, technological knowledge, and perceived cost in the analysis. Data were collected from 336 respondents in Malaysia’s tourism and hospitality industry using the questionnaire survey. The empirical results confirmed that perceived usefulness, ease of use, attitude, cost, and technology knowledge significantly affected behavioral intention. Self-efficacy, perceived ease of use, and perceived usefulness affected the attitude towards AI. Attitude mediated the relationship between perceived ease of use and behavioral intention as well as the relationship between perceived usefulness and behavioral intention. This study contributes to enhancing AI’s understanding of the tourism and hospitality industry context. This study also improves TAM by proposing a comprehensive model with cognitive external and technology-specific factors. © 2022 IGI Global. All rights reserved.
引用
收藏
相关论文
共 50 条
  • [1] Understanding secondary students’ continuance intention to adopt AI-powered intelligent tutoring system for English learning
    Aohua Ni
    Alan Cheung
    [J]. Education and Information Technologies, 2023, 28 : 3191 - 3216
  • [2] Understanding secondary students' continuance intention to adopt AI-powered intelligent tutoring system for English learning
    Ni, Aohua
    Cheung, Alan
    [J]. EDUCATION AND INFORMATION TECHNOLOGIES, 2023, 28 (03) : 3191 - 3216
  • [3] I, Chatbot: Modeling the determinants of users' satisfaction and continuance intention of AI-powered service agents
    Ashfaq, Muhammad
    Yun, Jiang
    Yu, Shubin
    Correia Loureiro, Sandra Maria
    [J]. TELEMATICS AND INFORMATICS, 2020, 54
  • [5] Shopping intention at AI-powered automated retail stores (AIPARS)
    Pillai, Rajasshrie
    Sivathanu, Brijesh
    Dwivedi, Yogesh K.
    [J]. JOURNAL OF RETAILING AND CONSUMER SERVICES, 2020, 57
  • [6] EduChat: AI-Powered Chatbot with Personalized Engagement for Online Learning
    Kadir, Rabiah Abdul
    Zulkifli, Mohamad Fairus
    Tiun, Sabrina Binti
    Lakulu, Mohd Modi
    Jusoh, Shaidah
    Faudzi, Ahmad Faridz Ahmad
    [J]. INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 3, INTELLISYS 2023, 2024, 824 : 589 - 597
  • [7] What influences patients? continuance intention to use AI-powered service robots at hospitals? The role of individual characteristics*
    Liu, Xiaohui
    He, Xiaoyu
    Wang, Mengmeng
    Shen, Huizhang
    [J]. TECHNOLOGY IN SOCIETY, 2022, 70
  • [8] Exploring the usage intention of AI-powered devices in smart homes among millennials and zillennials: the moderating role of trust
    Chin, Chee-Hua
    Wong, Winnie Poh Ming
    Cham, Tat-Huei
    Thong, Jun Zhou
    Ling, Jill Pei-Wah
    [J]. YOUNG CONSUMERS, 2024, 25 (01): : 1 - 27
  • [9] Understanding customer's meaningful engagement with AI-powered service robots
    Hlee, Sunyoung
    Park, Jaehyun
    Park, Hyunsun
    Koo, Chulmo
    Chang, Younghoon
    [J]. INFORMATION TECHNOLOGY & PEOPLE, 2023, 36 (03) : 1020 - 1047
  • [10] Customer Service with AI-Powered Human-Robot Collaboration (HRC): A Literature Review Customer Service with AI-Powered Human-Robot Collaboration (HRC): A Literature Review
    Leocadio, Diogo
    Guedes, Leonel
    Oliveira, Jose
    Reis, Joao
    Melao, Nuno
    [J]. 5TH INTERNATIONAL CONFERENCE ON INDUSTRY 4.0 AND SMART MANUFACTURING, ISM 2023, 2024, 232 : 1222 - 1232