An investigation on the influencing factors of elderly people's intention to use financial AI customer service

被引:15
|
作者
Cheng, Xusen [1 ]
Qiao, Liyang [1 ]
Yang, Bo [1 ]
Li, Zikang [2 ]
机构
[1] Renmin Univ China, Sch Informat, Beijing, Peoples R China
[2] Univ Int Business & Econ, Sch Informat Technol & Management, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Elderly people; Financial AI customer Service; Usage intention; ISS model; TAM; TECHNOLOGY ACCEPTANCE MODEL; INFORMATION-SYSTEMS SUCCESS; STRUCTURAL EQUATION MODELS; MIXED-METHODS RESEARCH; OLDER-ADULTS; COGNITIVE AGE; RECOMMENDATION AGENTS; INTERNET BANKING; ADOPTION; ONLINE;
D O I
10.1108/INTR-06-2022-0402
中图分类号
F [经济];
学科分类号
02 ;
摘要
PurposeWith the great changes brought by information technology, there is also a challenge for the elderly's acceptance. This study aimed to determine the antecedents of elderly people's usage intention of financial artificial intelligent customer service (FAICS) and to examine the relationships between various factors and thus to help them better adapt to the digital age.Design/methodology/approachA mixed method, including the qualitative and quantitative study, was utilized to explore answers of the research questions. As the qualitative study, the authors used semi-structured interviews and data coding to uncover the influencing factors. As the quantitative study, the authors collected data through questionnaires and tested hypotheses using structural equation modeling.FindingsThe results of data analysis from interviews and questionnaires suggested that perceived anthropomorphism and virtual identity of elderly users have a positive impact on their perceived ease of use, and the perceived intelligence of elderly users positively influences their perceived ease of use, satisfaction and perceived usefulness. Additionally, the elderly's cognition age can moderate the effects of perceived usefulness and satisfaction on their usage intention of FAICS.Originality/valueThis study contributes to the literature by taking the elderly group as the research participants and combining those influencing factors with technology acceptance model and information systems success model. The findings provide a basis for accelerating the promotion of FAICS and help address the problem that the elderly have difficulty adapting to a new technology.
引用
收藏
页码:690 / 717
页数:28
相关论文
共 50 条
  • [21] COVID-19 Information-Tracking Solutions: A Qualitative Investigation of the Factors Influencing People's Adoption Intention
    Huang, Yue
    Obada-Obieh, Borke
    Redmiles, Elissa M.
    Lokam, Satya
    Beznosov, Konstantin
    CHIIR'22: PROCEEDINGS OF THE 2022 CONFERENCE ON HUMAN INFORMATION INTERACTION AND RETRIEVAL, 2022, : 12 - 24
  • [22] Green Behavior: Factors Influencing Behavioral Intention and Actual Environmental Behavior of Employees in the Financial Service Sector
    Hasebrook, Joachim P.
    Michalak, Leonie
    Wessels, Anna
    Koenig, Sabine
    Spierling, Stefan
    Kirmsse, Stefan
    SUSTAINABILITY, 2022, 14 (17)
  • [23] Smartphone Banking: The Factors Influencing the Intention to Use
    Kim, JinBaek
    Kang, Sungmin
    Cha, Hoon S.
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2013, 7 (05): : 1213 - 1235
  • [24] Factors influencing intention of mobile application use
    Kang, Seok
    INTERNATIONAL JOURNAL OF MOBILE COMMUNICATIONS, 2014, 12 (04) : 360 - 379
  • [25] Empirical investigation on factors influencing the coastal community's attitude and intention to use ICT for disaster and development communication
    Kuppuswamy, Sunitha
    Rajarathnam, S.
    INTERNATIONAL JOURNAL OF INNOVATION AND LEARNING, 2013, 14 (01) : 19 - 29
  • [26] The Factors Influencing Continuance Intention and Herd Behaviour in Social Commerce: Ease of Use and Online Customer Experience
    Zhu, Kaiyan
    Tan, Caroline Swee Lin
    Panwar, Tarun
    PROCEEDINGS OF NINTH INTERNATIONAL CONGRESS ON INFORMATION AND COMMUNICATION TECHNOLOGY, VOL 10, ICICT 2024, 2025, 1055 : 367 - 378
  • [27] Factors influencing behavioural intention to use MOOCs
    Khalid B.
    Lis M.
    Chaiyasoonthorn W.
    Chaveesuk S.
    Engineering Management in Production and Services, 2021, 13 (02) : 83 - 95
  • [28] Factors Influencing The Thai Elderly's Intention to Use Social Network for Quality of Life : A Case Study LINE Application
    Narkwilai, Mananya
    Funilkul, Suree
    Supasitthimethee, Umaporn
    2015 7TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND ELECTRICAL ENGINEERING (ICITEE), 2015, : 593 - 598
  • [29] A study on influencing factors for customer satisfaction and the continuing use of social network services in financial industry
    Nam, Kihwan
    Seong, Nohyoon
    ENTERPRISE INFORMATION SYSTEMS, 2021, 15 (03) : 395 - 419
  • [30] An Investigation of Factors Influencing Chinese Young Women's Intention for Mammography Screening
    Li, Li
    Li, Jinhui
    SAGE OPEN, 2021, 11 (03):