1. Ajzen, & Fishbein. (1980). Understanding Attitudes and Predictiing Social Behavior. Prentice Hall. https://cir.nii.ac.jp/crid/1572543024551612928
2. Alexandra, S., Handayani, P. W., & Azzahro, F. (2021). Indonesian hospital telemedicine acceptance model: the influence of user behavior and technological dimensions. Heliyon, 7(12). https://doi.org/10.1016/j.heliyon.2021.e08599
3. Alsyouf, A., Ishak, A. K., Lutfi, A., Alhazmi, F. N., & Al-Okaily, M. (2022). The Role of Personality and Top Management Support in Continuance Intention to Use Electronic Health Record Systems among Nurses. International Journal of Environmental Research and Public Health, 19(17). https://doi.org/10.3390/ijerph191711125
4. Au-Yong-Oliveira, M., Pesqueira, A., Sousa, M. J., Mas, F. D., & Soliman, M. (2021). The Potential of Big Data Research in HealthCare for Medical Doctors’ Learning. Journal of Medical Systems, 45(1). https://doi.org/10.1007/s10916-020-01691-7
5. Biancone, P., Secinaro, S., Marseglia, R., & Calandra, D. (2021). E-health for the future. Managerial perspectives using a multiple case study approach. Technovation. https://doi.org/10.1016/j.technovation.2021.102406
6. Cavallone, M., & Palumbo, R. (2020). Debunking the myth of industry 4.0 in health care: insights from a systematic literature review. In TQM Journal (Vol. 32, Issue 4, pp. 849–868). Emerald Group Holdings Ltd. https://doi.org/10.1108/TQM-10-2019-0245
7. Chawla, D., & Joshi, H. (2018). The Moderating Effect of Demographic Variables on Mobile Banking Adoption: An Empirical Investigation. Global Business Review, 19(3_suppl), S90–S113. https://doi.org/10.1177/0972150918757883
8. Chawla, D., & Joshi, H. (2019). Consumer attitude and intention to adopt mobile wallet in India – An empirical study. International Journal of Bank Marketing, 37(7), 1590–1618. https://doi.org/10.1108/IJBM-09-2018-0256
9. Datta, R., Singh, A., & Mishra, P. (2021). A survey of awareness, knowledge, attitude, and skills of telemedicine among healthcare professionals in India. Medical Journal Armed Forces India, xxxx. https://doi.org/10.1016/j.mjafi.2021.08.017
10. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
11. Elhajjar, S., & Ouaida, F. (2020). An analysis of factors affecting mobile banking adoption. International Journal of Bank Marketing, 38(2), 352–367. https://doi.org/10.1108/IJBM-02-2019-0055
12. Ferrari, A. (2012). Digital Competence in Practice: An Analysis of Frameworks. Joint Research Centre of the European Commission., 91. https://doi.org/10.2791/82116
13. Igbaria, M., & Parasuraman, S. (1989). A Path Analytic Study of Individual Characteristics, Computer Anxiety and Attitudes toward Microcomputers. Journal of Management, 15(3), 373–388. https://doi.org/10.1177/014920638901500302
14. Jarva, E., Oikarinen, A., Andersson, J., Tuomikoski, A. M., Kääriäinen, M., Meriläinen, M., & Mikkonen, K. (2022). Healthcare professionals’ perceptions of digital health competence: A qualitative descriptive study. Nursing Open, 9(2), 1379–1393. https://doi.org/10.1002/nop2.1184
15. Jonasdottir, S. K., Thordardottir, I., & Jonsdottir, T. (2022). Health professionals’ perspective towards challenges and opportunities of telehealth service provision: A scoping review. International Journal of Medical Informatics, 167, 104862. https://doi.org/https://doi.org/10.1016/j.ijmedinf.2022.104862
16. Kamal, S. A., Shafiq, M., & Kakria, P. (2020). Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technology in Society, 60. https://doi.org/10.1016/j.techsoc.2019.101212
17. Kara, D., Kim, H. (Lina), Lee, G., & Uysal, M. (2018). The moderating effects of gender and income between leadership and quality of work life (QWL). International Journal of Contemporary Hospitality Management, 30(3), 1419–1435. https://doi.org/10.1108/IJCHM-09-2016-0514
18. Kasilingam, D. L. (2020). Understanding the attitude and intention to use smartphone chatbots for shopping. Technology in Society, 62. https://doi.org/10.1016/j.techsoc.2020.101280
19. Khodadad-Saryazdi, A. (2021). Exploring the telemedicine implementation challenges through the process innovation approach: A case study research in the French healthcare sector. Technovation, 107. https://doi.org/10.1016/j.technovation.2021.102273
20. Kim, M. J., Lee, C. K., & Preis, M. W. (2020). The impact of innovation and gratification on authentic experience, subjective well-being, and behavioral intention in tourism virtual reality: The moderating role of technology readiness. Telematics and Informatics, 49. https://doi.org/10.1016/j.tele.2020.101349
21. Kim, T., & Chiu, W. (2019). Consumer acceptance of sports wearable technology: the role of technology readiness. International Journal of Sports Marketing and Sponsorship, 20(1), 109–126. https://doi.org/10.1108/IJSMS-06-2017-0050
22. Konttila, J., Siira, H., Kyngäs, H., Lahtinen, M., Elo, S., Kääriäinen, M., Kaakinen, P., Oikarinen, A., Yamakawa, M., Fukui, S., Utsumi, M., Higami, Y., Higuchi, A., & Mikkonen, K. (2019). Healthcare professionals’ competence in digitalisation: A systematic review. Journal of Clinical Nursing, 28(5–6), 745–761. https://doi.org/10.1111/jocn.14710
23. Kujala, S., Hörhammer, I., Hänninen-Ervasti, R., & Heponiemi, T. (2020). Health professionals’ experiences of the benefits and challenges of online symptom checkers. Studies in Health Technology and Informatics, 270, 966–970. https://doi.org/10.3233/SHTI200305
24. Lai, P. (2017). The literature review of technology adoption models and theories for the novelty technology. Journal of Information Systems and Technology Management, 14(1), 21–38. https://doi.org/10.4301/S1807-17752017000100002
25. Laukka, E., Huhtakangas, M., Heponiemi, T., Kujala, S., Kaihlanen, A. M., Gluschkoff, K., & Kanste, O. (2020). Health care professionals’ experiences of patient-professional communication over patient portals: Systematic review of qualitative studies. In Journal of Medical Internet Research (Vol. 22, Issue 12). JMIR Publications Inc. https://doi.org/10.2196/21623
26. Lin, C. H., Shih, H. Y., & Sher, P. J. (2007). Integrating technology readiness into technology acceptance: The TRAM model. Psychology and Marketing, 24(7), 641–657. https://doi.org/10.1002/mar.20177
27. Maarop, N., & Than Win, K. (2009). A Review of Telemedicine in Developing Countries: Introduction and Implementation Issues.
28. Massaro, M. (2021). Digital transformation in the healthcare sector through blockchain technology. Insights from academic research and business developments. Technovation. https://doi.org/10.1016/J.TECHNOVATION.2021.102386
29. Mertens, G., Gerritsen, L., Duijndam, S., Salemink, E., & Engelhard, I. M. (2020). Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020. Journal of Anxiety Disorders, 74. https://doi.org/10.1016/j.janxdis.2020.102258
30. Meuter, M. L., Ostrom, A. L., Bitner, M. J., & Roundtree, R. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research, 56(11), 899–906. https://doi.org/10.1016/S0148-2963(01)00276-4
31. Nazeha, N., Pavagadhi, D., Kyaw, B. M., Car, J., Jimenez, G., & Car, L. T. (2020). A Digitally Competent Health Workforce: Scoping Review of Educational Frameworks. In Journal of Medical Internet Research (Vol. 22, Issue 11). JMIR Publications Inc. https://doi.org/10.2196/22706
32. Nikou, S., De Reuver, M., & Mahboob Kanafi, M. (2022). Workplace literacy skills—how information and digital literacy affect adoption of digital technology. Journal of Documentation, 78(7), 371–391. https://doi.org/10.1108/JD-12-2021-0241
33. Odendaal, W. A., Watkins, J. A., Leon, N., Goudge, J., Griffiths, F., Tomlinson, M., & Daniels, K. (2020). Health workers’ perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis. In Cochrane Database of Systematic Reviews (Vol. 2020, Issue 3). John Wiley and Sons Ltd. https://doi.org/10.1002/14651858.CD011942.pub2
34. Parasuraman, A. (2000). Technology Readiness Index (TRI) A Multiple-Item Scale to Measure Readiness to Embrace New Technologies. Journal of Service Research, 2(4), 307–320.
35. Parasuraman, A., & Colby. (2001). Techno-Ready Marketing: How and Why Your Techno-Ready Marketing: How and Why Your Customers Adopt Technology Customers Adopt Technology. New York Press, 224.
36. Parasuraman, A., & Colby, C. L. (2015). An Updated and Streamlined Technology Readiness Index: TRI 2.0. Journal of Service Research, 18(1), 59–74. https://doi.org/10.1177/1094670514539730
37. Park, J., Hong, E. P., & Le, H. T. (2021). Adopting autonomous vehicles: The moderating effects of demographic variables. Journal of Retailing and Consumer Services, 63. https://doi.org/10.1016/j.jretconser.2021.102687
38. Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59(9), 999–1007. https://doi.org/10.1016/j.jbusres.2006.06.003
39. Prodanova, J., San-Martín, S., & Jimenez, N. (2021). Are you technologically prepared for mobile shopping? Service Industries Journal, 41(9–10), 648–670. https://doi.org/10.1080/02642069.2018.1492561
40. Qasem, Z. (2021). The effect of positive TRI traits on centennials adoption of try-on technology in the context of E-fashion retailing. International Journal of Information Management, 56. https://doi.org/10.1016/j.ijinfomgt.2020.102254
41. Ratten, V., & Jones, P. (2021). Entrepreneurship and management education: Exploring trends and gaps. International Journal of Management Education, 19(1). https://doi.org/10.1016/j.ijme.2020.100431
42. Rodriguez-Ricardo, Y., Sicilia, M., & López, M. (2018). What drives crowdfunding participation? The influence of personal and social traits. Spanish Journal of Marketing - ESIC, 22(2), 163–182. https://doi.org/10.1108/SJME-03-2018-004
43. Roscoe, J. T. (1975). Fundamental research statistics for the behavioral sciences / [by] John T. Roscoe. In Fundamental research statistics for the behavioral sciences (2d ed.). Holt, Rinehart and Winston.
44. Ross, J., Stevenson, F., Lau, R., & Murray, E. (2016). Factors that influence the implementation of e-health: A systematic review of systematic reviews. In Implementation Science (Vol. 11, Issue 1). BioMed Central Ltd. https://doi.org/10.1186/s13012-016-0510-7
45. Sekaran, & Bougie. (2013). Research Methods for Business. www.wileypluslearningspace.com
46. Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley and Sons. https://books.google.com/books?hl=en&lr=&id=Ko6bCgAAQBAJ&oi=fnd&pg=PA19&dq=Sekaran+and+Bougie+(2016)+&ots=2C4QU5HZpQ&sig=Eg3T7-lXeZ0Hax4t3bx_QYda1gU
47. Tarhini, A., Hone, K., & Liu, X. (2014). The effects of individual differences on e-learning users’ behaviour in developing countries: A structural equation model. Computers in Human Behavior, 41, 153–163. https://doi.org/10.1016/j.chb.2014.09.020
48. Uddin Quadery, S. E., Hasan, M., & Khan, M. M. (2021). Consumer side economic perception of telemedicine during COVID-19 era: A survey on Bangladesh’s perspective. In Informatics in Medicine Unlocked (Vol. 27). Elsevier Ltd. https://doi.org/10.1016/j.imu.2021.100797
49. van Laar, E., van Deursen, A. J. A. M., van Dijk, J. A. G. M., & de Haan, J. (2020). Measuring the levels of 21st-century digital skills among professionals working within the creative industries: A performance-based approach. Poetics, 81. https://doi.org/10.1016/j.poetic.2020.101434
50. Venkatesh Robert Smith, V. H., & Morris, M. G. (2000). Why Don’t Men Ever Stop To Ask For Directions? Gender, Social Influence, And Their Role In Technology Acceptance And Usage Behavior 1. In Technology Acceptance and Usage MIS Quarterly (Vol. 24, Issue 1).
51. Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
52. Venkatesh, V., Smith, R. H., Morris, M. G., Davis, G. B., Davis, F. D., & Walton, S. M. (2003). User Acceptance of Information Technology Toward A Unified View. In User Acceptance of IT MIS Quarterly (Vol. 27, Issue 3, pp. 425–478).
53. Walczuch, R., Lemmink, J., & Streukens, S. (2007). The effect of service employees’ technology readiness on technology acceptance. Information and Management, 44(2), 206–215. https://doi.org/10.1016/j.im.2006.12.005