1. Naghizadeh M, Tagvi M, Salehi M. Intra-organizational and external factors affecting the adoption of innovations in the field of mobile valueadded services. Information Technology Management Studies 2013; 3(10): 59-77.[In Persian]
2. Lai YH, Huang FF, Yang HH. A study on the attitude of use the mobile clinic registration system in Taiwan. Technology and Health Care. 2016 Jan 1;24(s1):S205-11.
3. Heerden AV, Tomlinson M, Swartz L. Point of care in your pocket: a research agenda for the field of m-health. Bulletin of the World Health Organization. 2012;90:393-4.
4. El-Wajeeh M, Galal-Edeen G, Mokhtar H. Technology acceptance model for mobile health systems. IOSR Journal of Mobile Computing and Acceptance. 2014 Jan;1(1):21-33.
5. Zhao Y, Ni Q, Zhou R. What factors influence the mobile health service adoption a meta-analysis and the moderating role of age. International journal of information management 2018. 43:342-350.
6. McCool J, Dobson R, Whittaker R, Paton C. Mobile health (mHealth) in low-and middle-income countries. Annual Review of Public Health.2022 Apr 5;43:525-39.
7. Shareef MA, Kumar V, Kumar U. Predicting mobile health adoption behaviour: A demand side perspective. Journal of Customer Behaviour.2014 Oct 31;13(3):187-205.
8. Tahamtan I, Pajouhanfar S, Sedghi S, Azad M, Roudbari M. Factors affecting smartphone adoption for accessing information in medical settings. Health Information & Libraries Journal. 2017 Jun;34(2):134-45.
9. Saheb T. An empirical investigation of the adoption of mobile health applications: integrating big data and social media services. Health and Technology. 2020 Sep;10(5):1063-77.
10. Jacob C, Sezgin E, Sanchez-Vazquez A, Ivory C. Sociotechnical factors affecting patients’ adoption of mobile health tools: systematic literature review and narrative synthesis. JMIR mHealth and uHealth. 2022 May 5;10(5):e36284.
11. Ahmadi varzaneh MR.Providing a model of using mobile value-added services in the field of health [PhD Thesis].Isfahan, Iran: Isfahan Islamic Azad University (Khorasgan). 2023. [In Persian].
12. Lotfolah Hamdani M, Vedadi A, Timuranjad K. Proposed factor analysis of public service motivation model in higher education. Transformative Human Resources Quarterly. 2023 July 23; 2 (6). [In Persian].
13. Kimiaeimehr F, Hosseini SM, Alimohammadzadeh K, Bahadori M, Maher A. Confirmatory factor analysis model of factors affecting the implementation of clinical guidelines in Iran. Medical Journal of the Islamic Republic of Iran. 2020;34:122.
14. Rezaei A. 2016. Designing and explaining the model of human resources management with a customer-oriented approach in manufacturing industries, [PhD thesis].Tehran. Iran: Kharazmi University. 2017. [In Persian].
15. Schomakers EM, Lidynia C, Vervier LS, Calero Valdez A, Ziefle M. Applying an extended UTAUT2 model to explain user acceptance of lifestyle and therapy mobile health apps: survey study. JMIR mHealth and uHealth. 2022 Jan 18;10(1):e27095.
16. Nezamdoust S, Abdekhoda M, Rahmani A. Determinant factors in adopting mobile health application in healthcare by nurses. BMC Medical Informatics and Decision Making. 2022 Dec;22(1):1-0.
17. Wang WT, Ou WM, Chen WY. The impact of inertia and user satisfaction on the continuance intentions to use mobile communication applications: A mobile service quality perspective. International Journal of Information Management. 2019 Feb 1;44:178-93.
18. Liu F, Ngai E, Ju X. Understanding mobile health service use: An investigation of routine and emergency use intentions. International Journal of Information Management. 2019 Apr 1;45:107-17.
19. Kazemkhanlou H, Boozary P. A survey on factors influencing the usage of mobile value-added services; an empirical investigation among Iranian users. In2015 International Conference on Industrial Engineering and Operations Management (IEOM) 2015 Mar 3 (pp. 1-7). IEEE.
20. Hoque R, Sorwar G. Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. International journal of medical informatics. 2017 May 1;101:75-84.