What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age
暂无分享,去创建一个
Yang Zhao | Ruoxin Zhou | Qi Ni | Yang Zhao | Ruoxin Zhou | Qi Ni
[1] P. Sheeran,et al. Prediction and Intervention in Health-Related Behavior: A Meta-Analytic Review of Protection Motivation Theory , 2000 .
[2] GuoXitong,et al. Investigating m-Health Acceptance from a Protection Motivation Theory Perspective: Gender and Age Differences , 2015 .
[3] R. W. Rogers,et al. A meta-analysis of research on protection motivation theory. , 2000 .
[4] Zekun Zheng. User Acceptance of Mobile Healthcare Applications: An Integrated Model of UTAUT and HBM Theory , 2015 .
[5] Chung-Feng Liu,et al. Exploring critical factors influencing physicians’ acceptance of mobile electronic medical records based on the dual-factor model: a validation in Taiwan , 2015, BMC Medical Informatics and Decision Making.
[6] Helena C. Kraemer,et al. A nonparametric technique for meta-analysis effect size calculation. , 1982 .
[7] Jacob Cohen. Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.
[8] Merrill Warkentin,et al. Fear Appeals and Information Security Behaviors: An Empirical Study , 2010, MIS Q..
[9] Martin Wetzels,et al. A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects , 2007, Inf. Manag..
[10] Hissam Tawfik,et al. MoHTAM: A Technology Acceptance Model for Mobile Health Applications , 2011, 2011 Developments in E-systems Engineering.
[11] Jen-Her Wu,et al. What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..
[12] R. W. Rogers,et al. A Protection Motivation Theory of Fear Appeals and Attitude Change1. , 1975, The Journal of psychology.
[13] Xitong Guo,et al. Nonlinearities in personalization-privacy paradox in mHealth adoption: the mediating role of perceived usefulness and attitude. , 2014, Technology and health care : official journal of the European Society for Engineering and Medicine.
[14] Ming-Chien Hung,et al. An empirical study of adopting mobile healthcare service: the family's perspective on the healthcare needs of their elderly members. , 2010, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[15] Ming-Jye Wang,et al. What factors affect physicians' decisions to use an e-health care system? , 2012 .
[16] Yongqiang Sun,et al. The privacy-personalization paradox in mHealth services acceptance of different age groups , 2016, Electron. Commer. Res. Appl..
[17] Guo-Zheng Li,et al. Cough event classification by pretrained deep neural network , 2015, BMC Medical Informatics and Decision Making.
[18] Yiwen Gao,et al. International Journal of Medical Informatics , 2016 .
[19] Shintaro Okazaki,et al. Physicians' Adoption of Mobile Health Monitoring Systems in Spain: Competing Models and Impact of Prior Experience , 2015 .
[20] G. Glass. Primary, Secondary, and Meta-Analysis of Research1 , 1976 .
[21] Dorothy Trainor. Drugs and the elderly: reassessing attitudes , 1981 .
[22] In Young Choi,et al. Predictive factors of telemedicine service acceptance and behavioral intention of physicians , 2014, Int. J. Medical Informatics.
[23] Benjamin Schüz,et al. Planning bridges the intention–behaviour gap: Age makes a difference and strategy use explains why , 2010, Psychology & health.
[24] M. Becker,et al. Health Belief Model and Personal Health Behavior , 1976 .
[25] Fred D. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..
[26] Xitong Guo,et al. UNDERSTANDING THE ACCEPTANCE OF MOBILE HEALTH SERVICES: A COMPARISON AND INTEGRATION OF ALTERNATIVE MODELS , 2013 .
[27] Zhaohua Deng,et al. Comparison of the middle-aged and older users' adoption of mobile health services in China , 2014, Int. J. Medical Informatics.
[28] Semi Han,et al. Determinants of adoption of mobile health services , 2015, Online Inf. Rev..
[29] Yongqiang Sun,et al. The dark side of elderly acceptance of preventive mobile health services in China , 2013, Electron. Mark..
[30] Yiwen Gao,et al. An empirical study of wearable technology acceptance in healthcare , 2015, Ind. Manag. Data Syst..
[31] GuoXitong,et al. Understanding gender differences in m-health adoption: a modified theory of reasoned action model. , 2014 .
[32] D. Nutbeam,et al. Health promotion glossary (1998) , 1998 .
[33] I. Ajzen,et al. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .
[34] Wen-Yuan Jen,et al. The adoption of mobile weight management services in a virtual community: the perspective of college students. , 2010, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.
[35] Edward Shih-Tse Wang. Perceived control and gender difference on the relationship between trialability and intent to play new online games , 2014, Comput. Hum. Behav..
[36] I. Ajzen. The theory of planned behavior , 1991 .
[37] Jui-Chen Huang,et al. Remote health monitoring adoption model based on artificial neural networks , 2010, Expert Syst. Appl..
[38] Mihail Cocosila,et al. Role of user a priori attitude in the acceptance of mobile health: an empirical investigation , 2012, Electronic Markets.
[39] Gordon B. Davis,et al. User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..
[40] Shintaro Okazaki,et al. Factors Affecting Mobile Diabetes Monitoring Adoption Among Physicians: Questionnaire Study and Path Model , 2012, Journal of medical Internet research.
[41] Pei-Luen Patrick Rau,et al. The acceptance of personal health devices among patients with chronic conditions , 2015, Int. J. Medical Informatics.
[42] Xi-tong Guo,et al. Understanding the acceptance of mobile health services: A service participants analysis , 2012 .
[43] Mihail Cocosila,et al. Adoption of mobile ICT for health promotion: an empirical investigation , 2010, Electron. Mark..
[44] L. Hedges,et al. Statistical Methods for Meta-Analysis , 1987 .
[45] Ming-Chien Hung,et al. The Adoption of Mobile Health Management Services: An Empirical Study , 2012, Journal of Medical Systems.
[46] Yunhong Xu,et al. Explaining the Mobile Health Services Acceptance from Different Age Groups: A Protection Motivation Theory Perspective , 2012 .
[47] Ing-Long Wu,et al. Understanding the Acceptance of Mobile Devices for Wireless Health Care , 2008 .
[48] Garrett Mehl,et al. H_pe for mHealth: More "y" or "o" on the horizon? , 2013, Int. J. Medical Informatics.
[49] W. Chutimaskul,et al. Factors influencing the Thai elderly intention to use smartphone for e-Health services , 2012, 2012 IEEE Symposium on Humanities, Science and Engineering Research.
[50] Jing Zhu,et al. A meta-analysis of mobile commerce adoption and the moderating effect of culture , 2012, Comput. Hum. Behav..
[51] Zhaohua Deng,et al. Understanding public users' adoption of mobile health service , 2013, Int. J. Mob. Commun..
[52] Kai-Yu Tang,et al. Investigating the Success Factors for the Acceptance of Mobile Healthcare Technology , 2013, PACIS.
[53] Mohammed-Issa Riad Mousa Jaradat,et al. Mobile Healthcare Adoption among Patients in a Developing Country Environment: Exploring the Influence of Age and Gender Differences , 2015 .
[54] Neil D. Weinstein,et al. Testing four competing theories of health-protective behavior. , 1993 .
[55] Yogesh Kumar Dwivedi,et al. A generalised adoption model for services: A cross-country comparison of mobile health (m-health) , 2016, Gov. Inf. Q..
[56] Liu Hongwei,et al. SPTCE: A Maximal Matching and Effective Energy Multi-Channel MAC Protocol for Wireless Sensor Networks , 2012 .
[57] Zhaohua Deng,et al. Applying Technology Acceptance Model to Explore the Determinants of Mobile Health Service: From the Perspective of Public User , 2012, WHICEB.
[58] Henry Been-Lirn Duh,et al. An exploratory study of ageing women's perception on access to health informatics via a mobile phone-based intervention , 2012, Int. J. Medical Informatics.
[59] Uma Kumar,et al. Predicting mobile health adoption behaviour: A demand side perspective , 2014 .
[60] Alain Yee-Loong Chong,et al. What drives Malaysian m-commerce adoption? An empirical analysis , 2009, Ind. Manag. Data Syst..
[61] Fethi Calisir,et al. Examining the Factors Affecting PDA Acceptance among Physicians: An Extended Technology Acceptance Model. , 2015, Journal of healthcare engineering.
[62] R. W. Rogers,et al. Protection Motivation Theory and preventive health: beyond the Health Belief Model , 1986 .
[63] John E. Hunter,et al. Methods of Meta-Analysis: Correcting Error and Bias in Research Findings , 1991 .