TY - JOUR
T1 - Promoting users’ smartphone avoidance intention: the role of health beliefs
AU - Zhao, Haiping
AU - Deng, Shengli
AU - Liu, Yong
AU - Xia, Sudi
AU - Lim, Eric Tze Kuan
AU - Tan, Chee Wee
N1 - Publisher Copyright:
© 2022, Emerald Publishing Limited.
PY - 2022/4/12
Y1 - 2022/4/12
N2 - Purpose: Drawing on the Health Belief Model (HBM), this study aims to investigate the roles of health beliefs (i.e. perceived susceptibility, perceived severity, perceived benefits, perceived barriers, health self-efficacy and cues to action) in promoting college students’ smartphone avoidance intention. Design/methodology/approach: Empirical data were collected through a cross-sectional survey questionnaire administered to 4,670 student smartphone users at a large university located in Central China. Further, a two-step Structural Equation Modeling was conducted using AMOS 22.0 software to test the hypothesized relationships in the research model. Findings: Analytical results indicate that (1) perceived susceptibility, perceived severity, perceived benefits and health self-efficacy positively influence users’ smartphone avoidance intention; (2) perceived barriers negatively influence smartphone avoidance intention, while (3) cues to action reinforce the relationships between perceived susceptibility/perceived benefits and smartphone avoidance intention, but attenuate the relationships between perceived barriers/health self-efficacy and smartphone avoidance intention. Research limitations/implications: This study demonstrates that HBM is invaluable in explaining and promoting users’ smartphone avoidance intention, thereby extending extant literature on both HBM and smartphone avoidance. Originality/value: Research on smartphone avoidance is still in a nascent stage. This study contributes to the field by offering a fresh theoretical lens for pursuing this line of inquiry together with robust empirical evidence.
AB - Purpose: Drawing on the Health Belief Model (HBM), this study aims to investigate the roles of health beliefs (i.e. perceived susceptibility, perceived severity, perceived benefits, perceived barriers, health self-efficacy and cues to action) in promoting college students’ smartphone avoidance intention. Design/methodology/approach: Empirical data were collected through a cross-sectional survey questionnaire administered to 4,670 student smartphone users at a large university located in Central China. Further, a two-step Structural Equation Modeling was conducted using AMOS 22.0 software to test the hypothesized relationships in the research model. Findings: Analytical results indicate that (1) perceived susceptibility, perceived severity, perceived benefits and health self-efficacy positively influence users’ smartphone avoidance intention; (2) perceived barriers negatively influence smartphone avoidance intention, while (3) cues to action reinforce the relationships between perceived susceptibility/perceived benefits and smartphone avoidance intention, but attenuate the relationships between perceived barriers/health self-efficacy and smartphone avoidance intention. Research limitations/implications: This study demonstrates that HBM is invaluable in explaining and promoting users’ smartphone avoidance intention, thereby extending extant literature on both HBM and smartphone avoidance. Originality/value: Research on smartphone avoidance is still in a nascent stage. This study contributes to the field by offering a fresh theoretical lens for pursuing this line of inquiry together with robust empirical evidence.
KW - College students
KW - Health belief model
KW - Health beliefs
KW - Problematic smartphone use
KW - Smartphone avoidance
UR - http://www.scopus.com/inward/record.url?scp=85126776142&partnerID=8YFLogxK
U2 - 10.1108/IMDS-07-2020-0420
DO - 10.1108/IMDS-07-2020-0420
M3 - Article
AN - SCOPUS:85126776142
VL - 122
SP - 963
EP - 982
JO - INDUSTRIAL MANAGEMENT AND DATA SYSTEMS
JF - INDUSTRIAL MANAGEMENT AND DATA SYSTEMS
SN - 0263-5577
IS - 4
ER -