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Predicting continuance intention to fintech chatbot
被引:28
|作者:
Huang, Stanley Y. B.
[1
]
Lee, Chih-Jen
[1
]
机构:
[1] Ming Chuan Univ, Sch Financial Technol, Master Program Financial Technol, 130 Jihe Rd, Taipei 111, Taiwan
关键词:
Continuance intention;
Fintech chatbots;
Potential growth model;
Social capital;
Social response theory;
INFORMATION-SYSTEMS CONTINUANCE;
ARTIFICIAL-INTELLIGENCE;
USERS SATISFACTION;
TECHNOLOGY;
COMPUTERS;
ACCEPTANCE;
MODEL;
INTERACTIVITY;
RESPONSES;
VARIANCE;
D O I:
10.1016/j.chb.2021.107027
中图分类号:
B84 [心理学];
学科分类号:
04 ;
0402 ;
摘要:
As fintech chatbots become more and more popular in online banking services, most banks have discovered their business potential. To understand why fintech chatbots can be used quickly and widely to realize commercial benefits, this research uses social response theory to detect the continuous intention mechanism behind fintech chatbots. This research includes social capital (social cues) and attitudes toward fintech chatbots to describe how social cues based on social response theory evoke users' social behaviors, which in turn may affect continuous intention. Based on the potential growth model, the growth trends and relationships of these variables were analyzed based on the longitudinal data of 455 fintech chatbot users in Taiwan in three stages over six months. The results of the survey support all hypotheses and can enable vendors to understand the mechanism of how to enhance users' continuous intention for fintech chatbots.
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