The behavioral intention to adopt mobile health services: The moderating impact of mobile self-efficacy

被引：14
作者：
Mensah, Isaac Kofi [1 ]
Zeng, Guohua [2 ]
Mwakapesa, Deborah Simon [3 ]
机构：
[1] Fujian Jiangxia Univ, Sch Business Adm, Fuzhou, Peoples R China
[2] Jiangxi Univ Sci & Technol, Sch Econ & Management, Ganzhou, Peoples R China
[3] Jiangxi Univ Sci & Technol, Sch Civil & Surveying Engn, Ganzhou, Peoples R China
来源：
FRONTIERS IN PUBLIC HEALTH | 2022年 / 10卷
基金：
英国科研创新办公室;
关键词：
e-health; e-health services; mobile health; mobile health services; mobile self-efficacy; UTAUT; E-GOVERNMENT SERVICES; USER ACCEPTANCE; UTAUT; TECHNOLOGY; DETERMINANTS; EXTENSION; ATTITUDES; STUDENTS; COUNTRY;
D O I：
10.3389/fpubh.2022.1020474
中图分类号：
R1 [预防医学、卫生学];
学科分类号：
1004 ; 120402 ;
摘要：
This study explored the moderating impact of mobile self-efficacy on the adoption of mobile health services. The UTAUT was used as the theoretical foundation for this study. The results have indicated that mobile self-efficacy was significant in moderating the impact of both performance expectancy (beta = -0.005, p < 0.05) and effort expectancy (beta = -010, p < 0.05) on the adoption of mobile health services. In addition, it was revealed to our surprise that both performance (beta = 0.521, t = 9.311, p > 0.05) and effort expectancy (beta = 0.406, t = 7.577, p > 0.05) do not determine the behavioral intention to use mobile health services. Effort expectancy and behavioral intention to use were also, respectively, not significant in influencing performance expectancy (beta = 0.702, t = 12.601, p > 0.05) and intention to recommend the adoption of mobile health services (beta = 0.866, t = 13.814, p > 0.05). Mobile self-efficacy, however, was found to significantly predict the citizen's intention to recommend the adoption of mobile health services (beta = 0.139, t = 2.548, p < 0.05). The implications of these findings on mobile health are discussed.
引用
收藏
页数：14
相关论文
共 100 条
[1]  
Acheampong P., 2018, CAN J APPL SCI TECHN, P5
[2]   The Mediating Influence of the Unified Theory of Acceptance and Use of Technology on the Relationship Between Internal Health Locus of Control and Mobile Health Adoption: Cross-sectional Study [J].
Ahadzadeh, Ashraf Sadat ;
Wu, Shin Ling ;
Ong, Fon Sim ;
Deng, Ruolan .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2021, 23 (12)
[3]   Determinants of consumer acceptance of mobile healthcare devices: An application of the concepts of technology acceptance and coolness [J].
Ahn, Hyeongjin ;
Park, Eunil .
TELEMATICS AND INFORMATICS, 2022, 70
[4]  
Akter S., 2010, INT MEDICAL INFORMAT, P75, DOI DOI 10.1055/S-0038-1638697
[5]   Investigating Emirati citizens' adoption of e-government services in Abu Dhabi using modified UTAUT model [J].
Al Mansoori, Khaled Ahmed ;
Sarabdeen, Jawahitha ;
Tchantchane, Abdel Latif .
INFORMATION TECHNOLOGY & PEOPLE, 2018, 31 (02) :455-481
[6]   Investigating attitudes towards the use of mobile learning in higher education [J].
Al-Emran, Mostafa ;
Elsherif, Hatem M. ;
Shaalan, Khaled .
COMPUTERS IN HUMAN BEHAVIOR, 2016, 56 :93-102
[7]  
Al-Swidi Abdullah Kaid, 2019, Electronic Government, V15, P37
[8]   Examining the Factors Affecting Behavioural Intention to Adopt Mobile Health in Jordan [J].
Alalwan, Ali ;
Baabdullah, Abdullah M. ;
Rana, Nripendra P. ;
Dwivedi, Yogesh K. ;
Hudaib, Fadia ;
Shammout, Ahmad .
CHALLENGES AND OPPORTUNITIES IN THE DIGITAL ERA, 2018, 11195 :459-467
[9]  
Alam MZ., 2018, J STUD SOC SCI, P17
[10]  
Alkhalifah Tamim, 2022, International Journal of E-Services and Mobile Applications, V14, P1, DOI 10.4018/IJESMA.295963
12345678910