Work

An Empirical Study on Digital Feedback Behavior of Young People in COVID-19 with Health Belief Model and UTAUT Model

Year: 2022

Type: article

Abstract: During COVID-19 prevention and control, many middle-aged and elderly people lack the skills and knowledge of healthy online transmission, resulting in inadequate prevention and control measures. So as young people who are familiar with the rules of the internet transmit health information, they also reverse educate their parents on novel coronavirus prevention and control, helping them to bridge the digital information gap between generations. In this paper, the health belief model (HBM) and the integrated technology acceptance and use model (UTAUT) were combined to establish a model to explore the factors influencing the digital feedback behavior of young groups in the context of COVID-19. The results show that the willingness of digital feedback has a certain influence on digital feedback behavior. Perceived susceptibility, perceived severity, perceived benefit, perceived obstacle, self-efficacy, performance expectation, community influence, and convenience also affect the intention of feedback.

Source: Mobile Information Systems

DOI: 10.1155/2022/9095003

Authors: Dan Lu, Huhuang Lin

Institutions: Beijing Normal University, Beijing Normal University, Zhuhai

Language: English

Topic: Technology Adoption and User Behaviour

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $2,550