1. Wong A, Wouterse B, Slobbe LCJ, Boshuizen HC, Polder JJ. Medical innovation and age-specific trends in health care utilization: Findings and implications. Social Science & Medicine. 2012;74(2):263-72. [
DOI:10.1016/j.socscimed.2011.10.026]
2. Zanaboni P, Wootton R. Adoption of telemedicine: from pilot stage to routine delivery. BMC medical informatics and decision making. 2012;12(1):1-10. [
DOI:10.1186/1472-6947-12-1]
3. Nemati MJ. TeleMedicine; Necessity of Iran's vast Geography. Online Health Report on the use of ICT in the health field. [Online] 2016 May.. [Cited 2016 May 1]; Available from: URL: http://www.salamatonline.ir/news/5252.. [In Persian]
4. Global Telemedicine Market-Growth, Trends, and Forecasts. [2016-2021] Mordor Intelligence Reports. [Online]. [Cited 2016 May 7]; Available from: URL: http://www.mordorintelligence.com/industry-reports/global-telemedicine-market-industry.
5. Yellowlees PM. Successfully developing a telemedicine system. Journal of telemedicine and telecare. 2005;11(7):331-5. [
DOI:10.1258/135763305774472024]
6. Segrelles-Calvo G, Chiner E, Fernández-Fabrellas E. Acceptance of Telemedicine among Healthcare Professionals. Arch Bronconeumol. 2015;51(12):611-12. [
DOI:10.1016/j.arbres.2015.08.002]
7. Davidson E, Heslinga D. Bridging the IT adoption gap for small physician practices: an action research study on electronic health records. Inf Syst Manag. 2007; 24(1):15-28. [
DOI:10.1080/10580530601036786]
8. Boonstra A, Broekhuis M. Barriers to the acceptance of electronic medical records by physicians from systematic review to taxonomy and interventions. BMC Health Services Res. 2010;10(1):231. [
DOI:10.1186/1472-6963-10-231]
9. Victoria A, Wade, Jaklin A, Eliott, and Janet E Hiller. Clinician Acceptance is the Key Factor for Sustainable Telehealth Services. Qualitative Health Research. 2014;24(5):682-94. [
DOI:10.1177/1049732314528809]
10. Rho MJ, Choi I, Lee J. Predictive factors of telemedicine service acceptance and behavioral intention of physicians. International Journal of Medical Informatics. 2014;83(8):559-71. [
DOI:10.1016/j.ijmedinf.2014.05.005]
11. Brebner J A, Brebner E M, Ruddick-Bracken H. Experience-based guidelines for the implementation of telemedicine services. Journal of telemedicine and telecare. 2005;11(suppl 1):3-5. [
DOI:10.1258/1357633054461778]
12. Hopp F, Whitten P, Subramanian U, Woodbridge P. Perspectives from the Veterans Health Administration about opportunities and barriers in telemedicine. Journal of telemedicine and telecare. 2006;12(8):404-09. [
DOI:10.1258/135763306779378717]
13. Yu P, Li H, Gagnon MP. Health IT acceptance factors in long-term care facilities. A cross-sectional survey Int. J Med Inform. 2009;78(4):219-29. [
DOI:10.1016/j.ijmedinf.2008.07.006]
14. Bagozzi R. The legacy of the Technology Acceptance Model and a proposal for a paradigm shift. J Assoc Inf Syst. 2007;8(1):244-54. [
DOI:10.17705/1jais.00122]
15. Yarbrough AK, Smith TB. Technology acceptance among physicians: a new take on TAM. Medical Care Research and Review. 2007;64(6):650-72. [
DOI:10.1177/1077558707305942]
16. Holden R, Karsh B. The Technology Acceptance Model: its past and future in health care. J Biomed Inform. 2010;43(1):159-72. [
DOI:10.1016/j.jbi.2009.07.002]
17. Chau PYK, Hu PJH. Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories. Inform. & Ma. 2002;39(4):297-11. [
DOI:10.1016/S0378-7206(01)00098-2]
18. Davis F, Bagozzi R, Warshaw P. User acceptance of computer technology: a comparison of two theoretical models. Manag Sci. 1989;35(1):982-1003. [
DOI:10.1287/mnsc.35.8.982]
19. Venkatesh V, Davis FD. A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decis Sci. 1996;27(3): 451-81. [
DOI:10.1111/j.1540-5915.1996.tb01822.x]
20. Shih YY. The effect of computer self-efficacy on enterprise resource planning usage. Behav Inform Technol. 2006;25(5): 407-11. [
DOI:10.1080/01449290500168103]
21. Thong JY L, Hong W, Tam KY. Understanding user acceptance of digital libraries: what are the roles of interface characteristics, organizational context, and individual differences? Int J Hum Comput Stud. 2002;57(3): 215-42. [
DOI:10.1016/S1071-5819(02)91024-4]
22. Hsu MK, Wang SW, Chiu KK. Computer attitude, statistics anxiety and self-efficacy on statistical software adoption behavior: An empirical study of online MBA learners. Comput Hum Behav. 2009;25(2): 412-20. [
DOI:10.1016/j.chb.2008.10.003]
23. Fathian M, Mahdavi Nour S H. Basics and Information Technology Management. Tenth Edition. Tehran: Iran University of Science and Technology; 2006.. [In Persian]
24. Figueiredo P N. Learning processes features and technological capability-accumulation: explaining inter-firm differences. Technovation. 2002;22(11): 685-98. [
DOI:10.1016/S0166-4972(01)00068-2]
25. Wu JH, Chen YC, Greenes RA. Healthcare technology management competency and its impacts on IT-healthcare partnerships development. International journal of medical informatics. 2009;78(2):71-82. [
DOI:10.1016/j.ijmedinf.2008.05.007]
26. Van Rooij MC, Lusardi A, Alessie RJ. Financial literacy and retirement planning in the Netherlands. Journal of Economic Psychology. 2011;32(4):593-608. [
DOI:10.1016/j.joep.2011.02.004]
27. Garg A, Shukla B, Kendall G. Barriers to implementation of IT in educational institutions. The International Journal of Information and Learning Technology. 2015;32(2):94-108. [
DOI:10.1108/IJILT-11-2014-0026]
28. Tabibi S J, Riahi L, Yousefinejad T. Evaluation of managers of educational hospitals of Tehran University of Medical Sciences using 360 degree feedback model. Journal of Rafsanjan University of Medical Sciences. 2013;12(9):709-18.. [In Persian]
29. Moghimi M, Ramazan M. Management Research, Business Management. Vol 7. First ed. Tehran: Rahdan Publishing; 2011.. [In Persian]
30. Dunham RB, Grube JA, Gardner DG, Cummings LL, Pierce JL. The development of an attitude toward change instrument. Meeting Strategic Management Research Center. Washington, DC: University of Minnesota, Minneapolis; 1989.
31. Davari A, Rezazadeh A. Structural Equation Modeling with PLS. Tehran: Jahad-e Daneshgahi Press; 2013.. [In Persian]
32. Sobhanifard Y. The Basics and Application of Factor Analysis and Modeling of Structural Equations. Tehran: Imam Sadeq University Press; 2016.. [In Persian]
33. Hung SY, Ku YC, Chie JC. Understanding physicians' acceptance of the Medline system for practicing evidence-based medicine: A decomposed TPB model. Int J Med Inform. 2012;81(2):130-42. [
DOI:10.1016/j.ijmedinf.2011.09.009]
34. Taylor J, Coates E, Brewster L, Mountain G, Wessels B, Haw-ley MS. Examining the use of telehealth in community nursing: identifying the factors affecting frontline staff acceptance and telehealth adoption. J Adv Nurs. 2015;71(1):326-37. [
DOI:10.1111/jan.12480]
35. Saigi-Rubió F, Jiménez-Zarco A, Torrent-Sellens J. Determinants of the intention to use telemedicine: evidence from primary care physicians. Int J Technol Assess Health Care. 2016;32(1):29-36. [
DOI:10.1017/S0266462316000015]
36. Paul Jen Hwa Hu, Patrick YK, Chau, Olivia R, Liu Sheng. Adoption of Telemedicine Technology by Health Care Organizations: An Exploratory Study. Journal of Organizational Computing and Electronic Commerce. 2009;12(3):197-221. [
DOI:10.1207/S15327744JOCE1203_01]
37. Sanayei A, Khazaei Pool J, Jafari S, Balouei Jamkhaneh H. Analyzing of Factors that Affect the Acceptance of Telemedicine with Combination of Technology Adoption and Theory of Planned Behavior Models. [Case study: Physicians in Isfahan City] Health Inf Manage. 2013;10(4): 571-580.. [In Persian]
38. Venkatesh V, Davis FD. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Ma Sci. 2000;46(2):186-204. [
DOI:10.1287/mnsc.46.2.186.11926]
39. Wilson EV, Lankton NK. Modeling Patients' Acceptance of Provider-delivered E-health, J. Am. Med. Inform. Assoc. 2004;11(4):241-48. [
DOI:10.1197/jamia.M1475]
40. Saigi-Rubió F, Torrent-Sellens J, Jiménez-Zarco A. Drivers of telemedicine use: comparative evidence from samples of Spanish, Colombian and Bolivian physicians. Implement Sci. 2014;9(1): 128. [
DOI:10.1186/s13012-014-0128-6]
41. Gutierrez J, Long JA. Reliability and validity of diabetes specific health beliefs model scales in patients with diabetes and serious mental illness. Diabetes Res Clin Pract. 2011;92(3): 342-47. [
DOI:10.1016/j.diabres.2011.02.018]
42. Angst CM, Agarwal R. Adoption of electronic health records in the presence of privacy concerns: the elaboration likelihood model and individual persuasion. MIS Quarterly. 2009;3(2): 339-70. [
DOI:10.2307/20650295]
43. Ajzen I. The theory of planned behavior. Organizational behavior and human decision processes. 1991;50(2): 179-211. [
DOI:10.1016/0749-5978(91)90020-T]