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Factors Influencing the Adoption of mHealth Services in Saudi Arabia: A Patient-centered Study

  • Almegbel, Halah (Business Administration Department, Al-Imam Mohammad Ibn Saud Islamic University) ;
  • Aloud, Monira (Department of Management Information Systems, College of Business Administration, King Saud University)
  • 투고 : 2021.04.05
  • 발행 : 2021.04.30

초록

This study empirically investigates the factors influencing the intention to accept mobile technology in Saudi healthcare service delivery using the extended unified theory of acceptance and use of technology model (UTAUT) with perceived reliability and price value. Accordingly, a conceptual model combining behavioral constructs with those linked to the technology acceptance model is developed. This model aims to identify factors that predict patients' acceptance of mobile technology healthcare service delivery. The developed model is examined using responses obtained from a survey on 545 participants receiving healthcare services in Saudi Arabia. Thus, we have conceptualized the developed model and validated seven hypotheses involving key constructs. Results suggest that performance expectancy, effort expectancy, social influence, facilitating conditions, price value, and perceived reliability are direct predictors of user behavior to accept mobile technology in healthcare service delivery. The results provide empirical evidence to the literature on the effect of facilitating conditions and effort expectancy on mobile health (mHealth) adoption. The results show that the COVID-19 pandemic has significantly increased the adoption of mHealth services in Saudi Arabia.

키워드

과제정보

The authors thank the Deanship of Scientific Research and RSSU at King Saud University for their technical support.

참고문헌

  1. M. R. Hoque, "An empirical study of mHealth adoption in a developing country: The moderating effect of gender concern," BMC Med. Inform. Decis. Mak., vol. 16, no. 1, pp. 1-10, 2016, doi: 10.1186/s12911-016-0289-0.
  2. M. Z. Alam, M. R. Hoque, W. Hu, and Z. Barua, "Factors influencing the adoption of mHealth services in a developing country: A patient-centric study," Int. J. Inf. Manage., vol. 50, no. April 2019, pp. 128-143, 2020, doi: 10.1016/j.ijinfomgt.2019.04.016.
  3. G. M. A. A. Quaosar, M. R. Hoque, and Y. Bao, "Investigating factors affecting elderly's intention to use m-health services: An empirical study," Telemed. e-Health, vol. 24, no. 4, pp. 309-314, 2018, doi: 10.1089/tmj.2017.0111.
  4. S. Akter and P. Ray, "mHealth - an Ultimate Platform to Serve the Unserved.," Yearb. Med. Inform., pp. 94-100, 2010, doi: 10.1055/s0038-1638697.
  5. A. Feroz, S. Perveen, and W. Aftab, "Role of mHealth applications for improving antenatal and postnatal care in low and middle income countries: A systematic review," BMC Health Serv. Res., vol. 17, no. 1, pp. 1-11, 2017, doi: 10.1186/s12913-017-2664-7.
  6. V. Drongelen A, B. CRL, H. H, T. JWR, S. T, and V. AJ, "Evaluation of an mHealth intervention aiming to improve health-related behavior and sleep and reduce fatigue among airline pilots," Scand. J. Work. Environ. Heal., vol. 40, no. 6, pp. 557-568, 2014, doi: 10.5271/sjweh.3447.
  7. WHO, "The world health report 2000.Health systems: improving performance," Geneva, 2000.
  8. "The MOH Initiatives Related to the NTP 2020 and Saudi Vision 2030," ministry of health, 2020. https://www.moh.gov.sa/en/Ministry/nehs/Pages/vision2030.aspx.
  9. "MOH Apps for Smartphones," ministry of health, 2020. https://www.moh.gov.sa/en/Support/Pages/MobileApp.aspx.
  10. F. D. Davis, "IT Usefulness and Ease of Use," Technology, vol. 13, no. 3, pp. 319-340, 1989.
  11. I. Ajzen, "The theory of planned behavior," Organ. Behav. Hum. Decis. Process., vol. 50, no. 2, pp. 179-211, 1991, [Online]. Available: https://www-sciencedirectcom.sdl.idm.oclc.org/science/article/abs/pii/074959789190020T?via%3Dihub. https://doi.org/10.1016/0749-5978(91)90020-t
  12. E..ogers, Diffusion of innovations. New York, 1995.
  13. V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, "USER ACCEPTANCE OF INFORMATION TECHNOLOGY: TOWARD A UNIFIED VIEW," Inorg. Chem. Commun., vol. 27, no. 3, pp. 425-478, 2003, doi: 10.1016/j.inoche.2016.03.015.
  14. R. J. Hill, M. Fishbein, and I. Ajzen, "Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research.," Contemp. Sociol., vol. 6, no. 2, p. 244, 1977, doi: 10.2307/2065853.
  15. A. A. Alalwan, A. M. Baabdullah, N. P. Rana, K. Tamilmani, and Y. K. Dwivedi, "Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust," Technol. Soc., vol. 55, no. March, pp. 100-110, 2018, doi: 10.1016/j.techsoc.2018.06.007.
  16. F. Munoz-Leiva, S. Climent-Climent, and F. Liebana-Cabanillas, "Determinants of intention to use the mobile banking apps: An extension of the classic TAM model," Spanish J. Mark. - ESIC, vol. 21, no. 1, pp. 25-38, 2017, doi: 10.1016/j.sjme.2016.12.001.
  17. a Al-Adwan, A. A.- Adwan, and J. Smedley, "Exploring students acceptance of e-learning using technology acceptance model in jordanian universities," Int. J. Educ. Dev. Using Inf. Commun. Technol., vol. 9, no. 2, pp. 4-18, 2013, [Online]. Available: http://ijedict.dec.uwi.e.,du/viewarticle.php?id=1617.
  18. S. A. Al-Hudhaif and A. Alkubeyyer, "E-Commerce Adoption Factors in Saudi Arabia," Int. J. Bus. Manag., vol. 6, no. 9, pp. 122-133, 2011, doi: 10.5539/ijbm.v6n9p122.
  19. H. San Martin and A. Herrero, "Influence of the user's psychological factors on the online purchase intention in rural tourism: Integrating innovativeness to the UTAUT framework," Tour. Manag., vol. 33, no. 2, pp. 341-350, 2012, doi: 10.1016/j.tourman.2011.04.003.
  20. G. Rodrigues, J. Sarabdeen, and S. Balasubramanian, "Factors that Influence Consumer Adoption of E-government Services in the UAE: A UTAUT Model Perspective," J. Internet Commer., vol. 15, no. 1, pp. 18-39, 2016, doi: 10.1080/15332861.2015.1121460.
  21. P. J. B. Tan, "Applying the UTAUT to understand factors affecting the use of english e-learning websites in Taiwan," SAGE Open, vol. 3, no. 4, 2013, doi: 10.1177/2158244013503837.
  22. S. A. Kamal, M. Shafiq, and P. Kakria, "Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)," Technol. Soc., vol. 60, no. September 2019, p. 101212, 2020, doi: 10.1016/j.techsoc.2019.101212.
  23. D. Dhagarra, M. Goswami, and G. Kumar, "Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective," Int. J. Med. Inform., vol. 141, no. April, p. 104164, 2020, doi: 10.1016/j.ijmedinf.2020.104164.
  24. Y. Zhao, Q. Ni, and R. Zhou, "What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age," Int. J. Inf. Manage., vol. 43, no. August 2017, pp. 342-350, 2018, doi: 10.1016/j.ijinfomgt.2017.08.006.
  25. M. M. Rahman and T. Sloan, "User adoption of mobile commerce in Bangladesh: Integrating perceived risk, perceived cost and personal awareness with TAM," Int. Technol. Manag. Rev., vol. 6, no. 3, p. 103, 2017, doi: 10.2991/itmr.2017.6.3.4.
  26. S. Yuan, W. Ma, S. Kanthawala, and W. Peng, "Keep Using My Health Apps: Discover Users' Perception of Health and Fitness Apps with the UTAUT2 Model," Telemed. e-Health, vol. 21, no. 9, pp. 735-741, 2015, doi: 10.1089/tmj.2014.0148.
  27. A. H. H. M. Mohamed, H. Tawfik, D. Al-Jumeily, and L. Norton, "MoHTAM: A technology acceptance model for mobile health applications," Proc. - 4th Int. Conf. Dev. eSystems Eng. DeSE 2011, pp. 13-18, 2011, doi: 10.1109/DeSE.2011.79.
  28. Y. Gao, H. Li, and Y. Luo, "An empirical study of wearable technology acceptance in healthcare," Ind. Manag. Data Syst., vol. 115, no. 9, pp. 1704-1723, 2015, doi: 10.1108/IMDS-03-2015-0087.
  29. K. H. Kim, K. J. Kim, D. H. Lee, and M. G. Kim, "Identification of critical quality dimensions for continuance intention in mHealth services: Case study of onecare service," Int. J. Inf. Manage., vol. 46, no. December 2018, pp. 187-197, 2019, doi: 10.1016/j.ijinfomgt.2018.12.008.
  30. Z. Deng, X. Mo, and S. Liu, "Comparison of the middle-aged and older users' adoption of mobile health services in China," Int. J. Med. Inform., vol. 83, no. 3, pp. 210-224, 2014, doi: 10.1016/j.ijmedinf.2013.12.002.
  31. Z. Deng, Z. Hong, C. Ren, W. Zhang, and F. Xiang, "What predicts patients' adoption intention toward mhealth services in China: Empirical study," JMIR mHealth uHealth, vol. 6, no. 8, pp. 1-14, 2018, doi: 10.2196/mhealth.9316.
  32. R. Hoque and G. Sorwar, "Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model," Int. J. Med. Inform., vol. 101, no. September 2015, pp. 75-84, 2017, doi: 10.1016/j.ijmedinf.2017.02.002.
  33. W. Boontarig, W. Chutimaskul, V. Chongsuphajaisiddhi, and B. Papasratorn, "Factors influencing the Thai elderly intention to use smartphone for e-Health services," SHUSER 2012 - 2012 IEEE Symp. Humanit. Sci. Eng. Res., pp. 479-483, 2012, doi: 10.1109/SHUSER.2012.6268881.
  34. Statista, "Smartphone penetration rate as share of the population in Saudi Arabia from 2017 to 2025," Statista, 2020. https://www.statista.com/statistics/625436/smartphone-userpenetration-in-saudi-arabia/.
  35. Statista, "Mobile internet user penetration rate in Saudi Arabia from 2017 to 2025," statistics, 2020. https://www.statista.com/statistics/974322/saudi-arabia-mobilephone-internet-user-penetration/.
  36. N. Atallah, M. Khalifa, A. El Metwally, and M. Househ, "The prevalence and usage of mobile health applications among mental health patients in Saudi Arabia," Comput. Methods Programs Biomed., vol. 156, pp. 163-168, 2018, doi: 10.1016/j.cmpb.2017.12.002.
  37. T. Alanzi, "mHealth for diabetes self-management in the kingdom of Saudi Arabia: Barriers and solutions," J. Multidiscip. Healthc., vol. 11, pp. 535-546, 2018, doi: 10.2147/JMDH.S174198.
  38. R. Schnall et al., "A user-centered model for designing consumer mobile health (mHealth) applications (apps)," J. Biomed. Inform., vol. 60, pp. 243-251, 2016, doi: 10.1016/j.jbi.2016.02.002.
  39. Aranda-jan Clara, Mohutsiwa-dibe Neo, and L. Svetla, "Systemic Review on Implementation of mobile health projects in Africa: What works? What doesn't work and why?," BMC Public Health, vol. 14, pp. 2-15, 2014, doi: http://www.biomedcentral.com/1471-2458/14/188. https://doi.org/10.1186/1471-2458-14-2
  40. V. Gkatzidou et al., "User interface design for mobile-based sexual health interventions for young people: Design recommendations from a qualitative study on an online Chlamydia clinical care pathway," BMC Med. Inform. Decis. Mak., vol. 15, no. 1, pp. 1-13, 2015, doi: 10.1186/s12911-015-0197-8.
  41. B. Martinez-Perez, I. de la Torre-Diez, and M. Lopez-Coronado, "Privacy and Security in Mobile Health Apps: A Review and Recommendations," J. Med. Syst., vol. 39, no. 1, 2015, doi: 10.1007/s10916-014-0181-3.
  42. F. Z. Amdie and and K. Woo, "The use of mHealth technology for chronic disease management: the challenges and opportunities for practical application," Wounds Int. 2020, vol. 11, no. 2, pp. 32-38, 2020.
  43. E. Hernandez Silva, S. Lawler, and D. Langbecker, "The effectiveness of mHealth for self-management in improving pain, psychological distress, fatigue, and sleep in cancer survivors: a systematic review," J. Cancer Surviv., vol. 13, no. 1, pp. 97-107, 2019, doi: 10.1007/s11764-018-0730-8.
  44. C. H. Hsiao and K. Y. Tang, "Examining a model of mobile healthcare technology acceptance by the elderly in Taiwan," J. Glob. Inf. Technol. Manag., vol. 18, no. 4, pp. 292-311, 2015, doi: 10.1080/1097198X.2015.1108099.
  45. S. Okazaki, S. S. Blas, and J. Alberto Castaneda, "Physicians' adoption of mobile health monitoring systems in spain: Competing models and impact of prior experience," J. Electron. Commer. Res., vol. 16, no. 3, pp. 194-217, 2015.
  46. B. Ozaydin, F. Zengul, N. Oner, and D. Delen, "Text-mining analysis of mHealth research," mHealth, vol. 3, no. December, pp. 53-53, 2017, doi: 10.21037/mhealth.2017.12.02.
  47. M. Z. Alam, W. Hu, M. A. Kaium, M. R. Hoque, and M. M. D. Alam, "Understanding the determinants of mHealth apps adoption in Bangladesh: A SEM-Neural network approach," Technol. Soc., vol. 61, no. April, p. 101255, 2020, doi: 10.1016/j.techsoc.2020.101255.
  48. M. Z. Alam, W. Hu, M. R. Hoque, and M. A. Kaium, "Adoption intention and usage behavior of mHealth services in Bangladesh and China: A cross-country analysis," Int. J. Pharm. Healthc. Mark., vol. 14, no. 1, pp. 37-60, 2019, doi: 10.1108/IJPHM-03-2019-0023.
  49. M..lan, W. Hu, and Z. Barua, "Using the UTAUT Model to Determine Factors Affecting Acceptance and Use of Mobile Health (mHealth) Services in Bangladesh Mohammad," J. Stud. Soc. Sci., vol. 17, no. 2, pp. 137-172, 2018.
  50. H. M. R. S. S. Gunawardana, D. Kulathunga, and W. L. M. V. Perera, "Impact of self service technology quality on customer satisfaction: A case of retail banks in Western Province in Sri Lanka," Gadjah Mada Int. J. Bus., vol. 17, no. 1, pp. 1-24, 2015, doi: 10.22146/gamaijb.6147.
  51. A. A. Alalwan, Y. K. Dwivedi, and N. P. Rana, "Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust," Int. J. Inf. Manage., vol. 37, no. 3, pp. 99-110, 2017, doi: 10.1016/j.ijinfomgt.2017.01.002.
  52. Y. K. Dwivedi, M. A. Shareef, A. C. Simintiras, B. Lal, and V. Weerakkody, "A generalised adoption model for services: A cross-country comparison of mobile health (m-health)," Gov. Inf. Q., vol. 33, no. 1, pp. 174-187, 2016, doi: 10.1016/j.giq.2015.06.003.
  53. J. Cho, "The impact of post-adoption beliefs on the continued use of health apps," Int. J. Med. Inform., vol. 87, pp. 75-83, 2016, doi: 10.1016/j.ijmedinf.2015.12.016.
  54. M. Cocosila and N. Archer, "Adoption of mobile ICT for health promotion: An empirical investigation," Electron. Mark., vol. 20, no. 3-4, pp. 241-250, 2010, doi: 10.1007/s12525-010-0042-y.
  55. I. C. Chang, P. C. Chou, R. K. J. Yeh, and H. T. Tseng, "Factors influencing Chinese tourists' intentions to use the Taiwan Medical Travel App," Telemat. Informatics, vol. 33, no. 2, pp. 401-409, 2016, doi: 10.1016/j.tele.2015.09.007.
  56. C. H. Hsiao, M. C. Chen, and K. Y. Tang, "Investigating the success factors for the acceptance of mobile healthcare technology," Proc. - Pacific Asia Conf. Inf. Syst. PACIS 2013, 2013.
  57. H. C. Yang, "Bon appetit for apps: Young American consumers' acceptance of mobile applications," J. Comput. Inf. Syst., vol. 53, no. 3, pp. 85-96, 2013, doi: 10.1080/08874417.2013.11645635.
  58. C. Martins, T. Oliveira, and A. Popovic, "Understanding the internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application," Int. J. Inf. Manage., vol. 34, no. 1, pp. 1-13, 2014, doi: 10.1016/j.ijinfomgt.2013.06.002.
  59. J. W. Moon and Y. G. Kim, "Extending the TAM for a World-WideWeb context," Inf. Manag., vol. 38, no. 4, pp. 217-230, 2001, doi: 10.1016/S0378-7206(00)00061-6.
  60. F. D. Davis, P. R. Warshaw, and R. P. Bagozzi, "Extrinsic and Intrinsic Motivation to Use Computers in the Workplace," J. Appl. Soc. Psychol., vol. 22, no. 14, 1992, [Online]. Available: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1559-1816.1992.tb00945.x.
  61. B. H. Sheppard, J. Hartwick, and P. R. Warshaw, "The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research," J. Consum. Res., vol. 15, no. 3, p. 325, 1988, doi: 10.1086/209170.
  62. R. L. Thompson, C. A. Higgins, and J. M. Howell, "Influence of experience on personal computer utilization: Testing a conceptual model," J. Manag. Inf. Syst., vol. 11, no. 1, pp. 167-187, 1994, doi: 10.1080/07421222.1994.11518035.
  63. E. A. Locke, "Social Foundations of Thought and Action: A Social-Cognitive View.," Acad. Manag. Rev., vol. 12, no. 1, pp. 169-171, 1987, doi: 10.5465/amr.1987.4306538.
  64. S. Taylor and P. A. Todd, "Understanding information technology usage: A test of competing models," Inf. Syst. Res., vol. 6, no. 2, pp. 144-176, 1995, doi: 10.1287/isre.6.2.144.
  65. J. Lee and M. J. Rho, "Perception of influencing factors on acceptance of mobile health monitoring service: A comparison between users and non-users," Healthc. Inform. Res., vol. 19, no. 3, pp. 167-176, 2013, doi: 10.4258/hir.2013.19.3.167.
  66. B. Kijsanayotin, S. Pannarunothai, and S. M. Speedie, "Factors influencing health information technology adoption in Thailand's community health centers: Applying the UTAUT model," Int. J. Med. Inform., vol. 78, no. 6, pp. 404-416, 2009, doi: 10.1016/j.ijmedinf.2008.12.005.
  67. M. Cimperman, M. Makovec Brencic, and P. Trkman, "Analyzing older users' home telehealth services acceptance behavior-applying an Extended UTAUT model," Int. J. Med. Inform., vol. 90, pp. 22-31, 2016, doi: 10.1016/j.ijmedinf.2016.03.002.
  68. C. Carlsson, J. Carlsson, K. Hyvonen, J. Puhakainen, and P. Walden, "Adoption of mobile devices/services - Searching for answers with the UTAUT," Proc. Annu. Hawaii Int. Conf. Syst. Sci., vol. 6, no. C, pp. 1-10, 2006, doi: 10.1109/HICSS.2006.38.
  69. J. Lu, C. S. Yu, and C. Liu, "Mobile data service demographics in urban China," J. Comput. Inf. Syst., vol. 50, no. 2, pp. 117-126, 2009, doi: 10.1080/08874417.2009.11645390.
  70. Y. Sun, N. Wang, X. Guo, and Z. Peng, "Understanding the acceptance of mobile health services: A comparison and integration of alternative models," J. Electron. Commer. Res., vol. 14, no. 2, pp. 183-200, 2013.
  71. A. Y. L. Chong, "Predicting m-commerce adoption determinants: A neural network approach," Expert Syst. Appl., vol. 40, no. 2, pp. 523-530, 2013, doi: 10.1016/j.eswa.2012.07.068.
  72. V. Venkatesh, J. Y. L. Thong, and X. Xu, "Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology," MIS Q. Manag. Inf. Syst., vol. 36, no. 1, pp. 157-178, 2012, doi: 10.2307/41410412.
  73. M. A. Shareef, Y. K. Dwivedi, V. Kumar, and U. Kumar, "Content design of advertisement for consumer exposure: Mobile marketing through short messaging service," Int. J. Inf. Manage., vol. 37, no. 4, pp. 257-268, 2017, doi: 10.1016/j.ijinfomgt.2017.02.003.
  74. X. Zhang, K. hung Lai, and X. Guo, "Promoting China's mHealth market: A policy perspective," Heal. Policy Technol., vol. 6, no. 4, pp. 383-388, 2017, doi: 10.1016/j.hlpt.2017.11.002.
  75. J. Lu, J. E. Yao, and C. S. Yu, "Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology," J. Strateg. Inf. Syst., vol. 14, no. 3, pp. 245-268, 2005, doi: 10.1016/j.jsis.2005.07.003.
  76. A. A. Alalwan, Y. K. Dwivedi, and M. D. Williams, "Customers' Intention and Adoption of Telebanking in Jordan," Inf. Syst. Manag., vol. 33, no. 2, pp. 154-178, 2016, doi: 10.1080/10580530.2016.1155950.
  77. S. Rana, "The original gurukul of strategic analyses in modern India: My reminiscences of IDSA," Strateg. Anal., vol. 39, no. 5, pp. 549-554, 2015, doi: 10.1080/09700161.2015.1069986.
  78. D. G. Taylor, T. A. Voelker, and I. Pentina, "Mobile application adoption by young adults: A social network perspective.," Int. J. Mob. Mark., vol. 6, no. 2, pp. 60-70, 2011.
  79. M. Y. Yi, J. D. Jackson, J. S. Park, and J. C. Probst, "Understanding information technology acceptance by individual professionals: Toward an integrative view," Inf. Manag., vol. 43, no. 3, pp. 350- 363, 2006, doi: 10.1016/j.im.2005.08.006.
  80. A. Bhattacherjee and N. Hikmet, "Reconceptualizing organizational support and its effect on information technology usage: Evidence from the health care sector," J. Comput. Inf. Syst., vol. 48, no. 4, pp. 69-76, 2008, doi: 10.1080/08874417.2008.11646036.
  81. E. E.-J. Lee, J. Lee, and D. Eastwood, "A two step estimation of consumer adoption.pdf," Journal of Consumer Affairs, vol. 37, no. 2. pp. 256-282, 2003, doi: 10.1111/j.1745-6606.2003.tb00453.x.
  82. M. A. Shareef, N. Archer, and Y. K. Dwivedi, "Examining adoption behavior of mobile government," J. Comput. Inf. Syst., vol. 53, no. 2, pp. 39-48, 2012, doi: 10.1080/08874417.2012.11645613.
  83. A. L. Ostrom, M. J. Bitner, and M. L. Meuter, "Self-Service Technologies: Understanding Customer Satisfaction with Technoiogy-Based Service Encounters," J. Mark., vol. 64, no. July, pp. 45-64, 2000, doi: 10.15358/0340-1650-2009-6-319.
  84. T. Raleting and J. Nel, "Determinants of low-income non-users attitude towards WIG mobile phone banking: Evidence from South Africa," African J. Bus. Manag., vol. 5, no. 1, pp. 212-223, 2011, doi: 10.5897/AJBM10.1018.
  85. C. Yu, "FACTORS AFFECTING INDIVIDUALS TO ADOPT MOBILE BANKING : EMPIRICAL EVIDENCE FROM THE UTAUT MODEL," pp. 104-122, 2011.
  86. M. Turner, B. Kitchenham, P. Brereton, S. Charters, and D. Budgen, "Does the technology acceptance model predict actual use? A systematic literature review," Inf. Softw. Technol., vol. 52, no. 5, pp. 463-479, 2010, doi: 10.1016/j.infsof.2009.11.005.
  87. P. Todd and S. Taylor, "Assessing IT Usage : The Role of Prior Experience The Influence of Prior Experience," no. December, 1995.
  88. T. Zhou, Y. Lu, and B. Wang, "Integrating TTF and UTAUT to explain mobile banking user adoption," Comput. Human Behav., vol. 26, no. 4, pp. 760-767, 2010, doi: 10.1016/j.chb.2010.01.013.
  89. S. Ganguli and S. K. Roy, "Generic technology-based service quality dimensions in banking: Impact on customer satisfaction and loyalty," Int. J. Bank Mark., vol. 29, no. 2, 2011.
  90. R. H. Walker, M. Craig-Lees, R. Hecker, and H. Francis, "Technology-enabled service delivery: An investigation of reasons affecting customer adoption and rejection," Int. J. Serv. Ind. Manag., vol. 13, no. 1, pp. 91-106, 2002, doi: 10.1108/09564230210421173.
  91. Statista, "Number of mobile app downloads worldwide from 2016 to 2019," Statista, 2020. https://www.statista.com/statistics/271644/worldwide-free-andpaid-mobile-app-store-downloads/.
  92. Statista, "Number of mHealth app downloads worldwide from 2013 to 2017," Statista, 2019. https://www.statista.com/statistics/625034/mobile-health-appdownloads/.
  93. C. Fornell and D. F. Larcker, "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error," J. Mark. Res., vol. 18, no. 1, p. 39, 1981, doi: 10.2307/3151312.
  94. H. F. Kaiser, "An index of factorial simplicity," Psychometrika, vol. 39, no. 1, pp. 31-36, 1974, doi: 10.1007/BF02291575.
  95. V. P. Aggelidis and P. D. Chatzoglou, "Using a modified technology acceptance model in hospitals," Int. J. Med. Inform., vol. 78, no. 2, pp. 115-126, 2009, doi: 10.1016/j.ijmedinf.2008.06.006.