How to cite this paper
Alarefi, M. (2023). Internet of things in Saudi public healthcare organizations: The moderating role of facilitating conditions.International Journal of Data and Network Science, 7(1), 295-304.
Refrences
Ahmadi, H., Arji, G., Shahmoradi, L., Safdari, R., Nilashi, M., & Alizadeh, M. (2019). The application of internet of things in healthcare: a systematic literature review and classification. In Universal Access in the Information Society, 18(4). Springer Berlin Heidelberg. https://doi.org/10.1007/s10209-018-0618-4
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
https://doi.org/10.1016/0749-5978(91)90020-T
Alhasan, A., Audah, L., Ibrahim, I., Al-Sharaa, A., Al-Ogaili, A. S., & Mohammed, J. M. (2020). A case-study to examine doctors’ intentions to use IoT healthcare devices in Iraq during COVID-19 pandemic. International Journal of Perva-sive Computing and Communications.
Balachandar, S., & Chinnaiyan, R. (2019). Centralized reliability and security management of data in internet of things (IoT) with rule builder. International Conference on Computer Networks and Communication Technologies, 193–201.
Bhatt, S., Patwa, F., & Sandhu, R. (2017). An Access Control Framework for Cloud-Enabled Wearable Internet of Things. Proceedings - 2017 IEEE 3rd International Conference on Collaboration and Internet Computing, CIC 2017, 2017-Janua, 328–338. https://doi.org/10.1109/CIC.2017.00050
Çelik, H. (2011). Influence of social norms, perceived playfulness and online shopping anxiety on customers’ adoption of online retail shopping: An empirical study in the Turkish context. International Journal of Retail & Distribution Man-agement.
Chang, C.-T., Hajiyev, J., & Su, C.-R. (2017). Examining the students’ behavioral intention to use e-learning in Azerbai-jan? The general extended technology acceptance model for e-learning approach. Computers & Education, 111, 128–143.
Choi, J., & Kim, S. (2016). Is the smartwatch an IT product or a fashion product? A study on factors affecting the intention to use smartwatches. Computers in Human Behavior, 63, 777–786. https://doi.org/10.1016/j.chb.2016.06.007
Chouk, I., & Mani, Z. (2019). Factors for and against resistance to smart services: role of consumer lifestyle and ecosys-tem related variables. Journal of Services Marketing, 33(4), 449–462. https://doi.org/10.1108/JSM-01-2018-0046
Datta, P., Namin, A. S., & Chatterjee, M. (2019). A Survey of Privacy Concerns in Wearable Devices. Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, 4549–4553. https://doi.org/10.1109/BigData.2018.8622110
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. Source: MIS Quarterly, 13(3), 319–340.
de Boer, P. S., van Deursen, A. J. A. M., & van Rompay, T. J. L. (2018). Accepting the Internet-of-Things in our homes: The role of user skills. Telematics and Informatics. https://doi.org/10.1016/j.tele.2018.12.004
Dhagarra, D., Goswami, M., & Kumar, G. (2020). Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective. International Journal of Medical Informatics, 141(February), 104164. https://doi.org/10.1016/j.ijmedinf.2020.104164
Di Crosta, A., Palumbo, R., Marchetti, D., Ceccato, I., La Malva, P., Maiella, R., Cipi, M., Roma, P., Mammarella, N., & Verrocchio, M. C. (2020). Individual differences, economic stability, and fear of contagion as risk factors for PTSD symptoms in the COVID-19 emergency. Frontiers in Psychology, 11, 2329.
Dong, X., Chang, Y., Wang, Y., & Yan, J. (2017). Understanding usage of Internet of Things (IOT) systems in China: Cognitive experience and affect experience as moderator. Information Technology & People, 30(1), 117–138. https://doi.org/http://dx.doi.org/10.1207/S15327825MCS0301_03
El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Educational Technology Research and Develop-ment, 1–21. https://doi.org/10.1007/s11423-016-9508-8
Enaizan, O., Eneizan, B., Almaaitah, M., Al-Radaideh, A. T., & Saleh, A. M. (2020). Effects of privacy and security on the acceptance and usage of EMR: the mediating role of trust on the basis of multiple perspectives. Informatics in Medi-cine Unlocked, 100450.
Enroth, L., Jasilionis, D., Németh, L., Strand, B. H., Tanjung, I., Sundberg, L., Fors, S., Jylhä, M., & Brønnum-Hansen, H. (2022). Changes in socioeconomic differentials in old age life expectancy in four Nordic countries: the impact of edu-cational expansion and education-specific mortality. European Journal of Ageing, 1–12.
Gu, H., Krishnan, P., Ng, D. Y. M., Chang, L. D. J., Liu, G. Y. Z., Cheng, S. S. M., Hui, M. M. Y., Fan, M. C. Y., Wan, J. H. L., & Lau, L. H. K. (2021). Probable Transmission of SARS-CoV-2 Omicron Variant in Quarantine Hotel, Hong Kong, China, November 2021. Emerging Infectious Diseases, 28(2).
Habibipour, A., Padyab, A., & Ståhlbröst, A. (2019). Social, ethical and ecological issues in wearable technologies. 25th Americas Conference on Information Systems, AMCIS 2019, 1–10.
Hair, Hult, T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling. 2nd ed. Thousand Oakes.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616–632.
Harwood, T., & Garry, T. (2017). Internet of Things: understanding trust in techno-service systems. Journal of Service Management, 28(3), 442–475. https://doi.org/10.1108/JOSM-11-2016-0299
Hsu, C. L., & Lin, J. C. C. (2016). An empirical examination of consumer adoption of Internet of Things services: Net-work externalities and concern for information privacy perspectives. Computers in Human Behavior, 62, 516–527. https://doi.org/10.1016/j.chb.2016.04.023
Karahoca, A., Karahoca, D., & Aksöz, M. (2018). Examining intention to adopt to internet of things in healthcare technol-ogy products. Kybernetes, 47(4), 742–770. https://doi.org/10.1108/K-02-2017-0045
Kayali, M., & Alaaraj, S. (2020). Adoption of Cloud Based E-learning in Developing Countries : A Combination A of DOI , TAM and UTAUT. International Journal of Contemporary Management and Information Technology, 1(1), 1–7.
Kayali, M., Safie, N., & Mukhtar, M. (2019). The Effect of Individual Factors Mediated by Trust and Moderated by IT Knowledge on Students’ Adoption of Cloud Based E -learning. International Journal of Innovative Technology and Exploring Engineering, 9(2). https://doi.org/10.35940/ijitee.J1137.129219
Koch, J., Frommeyer, B., & Schewe, G. (2020). Online shopping motives during the COVID-19 pandemic—lessons from the crisis. Sustainability, 12(24), 10247.
Kurdi, B. Al, Alshurideh, M., Nuseir, M., Aburayya, A., & Salloum, S. A. (2021). The effects of subjective norm on the in-tention to use social media networks: an exploratory study using PLS-SEM and machine learning approach. Interna-tional Conference on Advanced Machine Learning Technologies and Applications, 581–592.
Lian, J. W. (2015). Critical factors for cloud based e-invoice service adoption in Taiwan: An empirical study. Internation-al Journal of Information Management, 35(1), 98–109. https://doi.org/10.1016/j.ijinfomgt.2014.10.005
Lu, Y., Papagiannidis, S., & Alamanos, E. (2018). Internet of things: A systematic review of the business literature from the user and organisational perspectives. Technological Forecasting and Social Change, 136(April 2017), 285–297. https://doi.org/10.1016/j.techfore.2018.01.022
Lynch, M., Bucknall, M., Jagger, C., & Wilkie, R. (2022). Projections of healthy working life expectancy in England to the year 2035. Nature Aging, 2(1), 13–18.
Maswadi, K., Ghani, N. A., & Hamid, S. (2022). Factors influencing the elderly’s behavioural intention to use smart home technologies in Saudi Arabia. Plos One, 17(8), e0272525.
Menychtas, A., Tsanakas, P., & Maglogiannis, I. (2020). Knowledge Discovery on IoT-Enabled mHealth Applications. In GeNeDis 2018 (pp. 181–191). Springer.
Mital, M., Chang, V., Choudhary, P., Papa, A., & Pani, A. K. (2018). Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach. Technological Forecasting and Social Change, 136, 339–346. https://doi.org/10.1016/j.techfore.2017.03.001
Padyab, A., & Ståhlbröst, A. (2018). Exploring the dimensions of individual privacy concerns in relation to the Internet of Things use situations. Digital Policy, Regulation and Governance , 20(6), 528–544. https://doi.org/10.1108/DPRG-05-2018-0023
Pal, D., Funilkul, S., Charoenkitkarn, N., & Kanthamanon, P. (2018). Internet-of-Things and Smart Homes for Elderly Healthcare: An End User Perspective. In IEEE Access. https://doi.org/10.1109/ACCESS.2018.2808472
Park, E., Cho, Y., Han, J., & Kwon, S. J. (2017). Comprehensive Approaches to User Acceptance of Internet of Things in a Smart Home Environment. IEEE Internet of Things Journal, 4(6), 2342–2350. https://doi.org/10.1109/JIOT.2017.2750765
Park, E., & Kim, K. J. (2014). An integrated adoption model of mobile cloud services: Exploration of key determinants and extension of technology acceptance model. Telematics and Informatics, 31(3), 376–385. https://doi.org/10.1016/j.tele.2013.11.008
Pinochet, L. H. C., Lopes, E. L., Srulzon, C. H. F., & Onusic, L. M. (2018). The influence of the attributes of “Internet of Things” products on functional and emotional experiences of purchase intention. Innovation & Management Review, 15(3), 303–320. https://doi.org/10.1108/inmr-05-2018-0028
Rahmi, B., Birgoren, B., & Aktepe, A. (2018). A meta analysis of factors affecting perceived usefulness and perceived ease of use in the adoption of e-learning systems. Turkish Online Journal of Distance Education, 19(4), 4–42.
Rai, S., & Biswas, S. N. (2022). Adoption of safe motherhood practices and the moderating role of facilitating conditions. Journal of Social Marketing, 12(4), 436-455.
Rawwash, H., Masad, F., Enaizan, O., Eneizan, B., Adaileh, M., Saleh, A., & Almestarihi, R. (2020). Factors affecting Jor-danian electronic banking services. Management Science Letters, 10(4), 915–922.
Saleh, A. M., Al-Badareen, A. B., & Enaizan, O. (2020). Automated user experience tool development for mobile applica-tion.
Sekaran, U., & Bougie, R. (2019). Research methods for business: A skill building approach. John Wiley & Sons.
Shachak, A., Kuziemsky, C., & Petersen, C. (2019). Beyond TAM and UTAUT: Future directions for HIT implementation research. Journal of Biomedical Informatics, 100, 103315. https://doi.org/10.1016/j.jbi.2019.103315
Shekar, A. R. (2019). Preventing Data Manipulation and Enhancing the Security of data in Fitness Mobile Application. 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), 740–745.
Shen, J., & Eder, L. B. (2009). Exploring intentions to use virtual worlds for business. Journal of Electronic Commerce Research, 10(2), 94.
Shin, D. H. (2017). A User-based Model for the Quality of Experience of the Internet of Things. Information and Man-agement, 54(8), 998–1011. https://doi.org/10.1016/j.im.2017.02.006
Shin, D. H., & Jin Park, Y. (2017). Understanding the Internet of Things ecosystem: multi-level analysis of users, society, and ecology. Digital Policy, Regulation and Governance , 19(1), 77–100. https://doi.org/10.1108/DPRG-07-2016-0035
Shin, D., & Hwang, Y. (2017). Integrated acceptance and sustainability evaluation of Internet of Medical Things: A dual-level analysis. Internet Research, 27(25), 1227–1254.
Singh, R. P., Javaid, M., Haleem, A., & Suman, R. (2020). Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 521–524.
Siron, Y., Wibowo, A., & Narmaditya, B. S. (2020). Factors affecting the adoption of e-learning in Indonesia: Lesson from Covid-19. JOTSE: Journal of Technology and Science Education, 10(2), 282–295.
Solangi, Z. A., Solangi, Y. A., Aziz, M. S. A., & Asadullah. (2018). An empirical study of Internet of Things (IoT) - Based healthcare acceptance in Pakistan: PILOT study. 2017 IEEE 3rd International Conference on Engineering Technolo-gies and Social Sciences, ICETSS 2017, 2018-Janua, 1–7. https://doi.org/10.1109/ICETSS.2017.8324135
Tarhini, A., Hone, K., & Liu, X. (2015). A cross-cultural examination of the impact of social, organisational and individu-al factors on educational technology acceptance between British and Lebanese university students. British Journal of Educational Technology, 46(4), 739–755. https://doi.org/10.1111/bjet.12169
Venkatesh, N., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science, 46(2), 186–204.
Venkatesh, V, Morris, M., Davis, G., & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Venkatesh, Viswanath, & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Deci-sion Sciences, 39(2), 273–315.
Zhang, Z. K., Cho, M. C. Y., Wang, C. W., Hsu, C. W., Chen, C. K., & Shieh, S. (2014). IoT security: Ongoing challenges and research opportunities. Proceedings - IEEE 7th International Conference on Service-Oriented Computing and Ap-plications, SOCA 2014, 230–234. https://doi.org/10.1109/SOCA.2014.58
Zheng, J., & Li, S. (2020). What drives students’ intention to use tablet computers: An extended technology acceptance model. International Journal of Educational Research, 102, 101612.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
https://doi.org/10.1016/0749-5978(91)90020-T
Alhasan, A., Audah, L., Ibrahim, I., Al-Sharaa, A., Al-Ogaili, A. S., & Mohammed, J. M. (2020). A case-study to examine doctors’ intentions to use IoT healthcare devices in Iraq during COVID-19 pandemic. International Journal of Perva-sive Computing and Communications.
Balachandar, S., & Chinnaiyan, R. (2019). Centralized reliability and security management of data in internet of things (IoT) with rule builder. International Conference on Computer Networks and Communication Technologies, 193–201.
Bhatt, S., Patwa, F., & Sandhu, R. (2017). An Access Control Framework for Cloud-Enabled Wearable Internet of Things. Proceedings - 2017 IEEE 3rd International Conference on Collaboration and Internet Computing, CIC 2017, 2017-Janua, 328–338. https://doi.org/10.1109/CIC.2017.00050
Çelik, H. (2011). Influence of social norms, perceived playfulness and online shopping anxiety on customers’ adoption of online retail shopping: An empirical study in the Turkish context. International Journal of Retail & Distribution Man-agement.
Chang, C.-T., Hajiyev, J., & Su, C.-R. (2017). Examining the students’ behavioral intention to use e-learning in Azerbai-jan? The general extended technology acceptance model for e-learning approach. Computers & Education, 111, 128–143.
Choi, J., & Kim, S. (2016). Is the smartwatch an IT product or a fashion product? A study on factors affecting the intention to use smartwatches. Computers in Human Behavior, 63, 777–786. https://doi.org/10.1016/j.chb.2016.06.007
Chouk, I., & Mani, Z. (2019). Factors for and against resistance to smart services: role of consumer lifestyle and ecosys-tem related variables. Journal of Services Marketing, 33(4), 449–462. https://doi.org/10.1108/JSM-01-2018-0046
Datta, P., Namin, A. S., & Chatterjee, M. (2019). A Survey of Privacy Concerns in Wearable Devices. Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, 4549–4553. https://doi.org/10.1109/BigData.2018.8622110
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. Source: MIS Quarterly, 13(3), 319–340.
de Boer, P. S., van Deursen, A. J. A. M., & van Rompay, T. J. L. (2018). Accepting the Internet-of-Things in our homes: The role of user skills. Telematics and Informatics. https://doi.org/10.1016/j.tele.2018.12.004
Dhagarra, D., Goswami, M., & Kumar, G. (2020). Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective. International Journal of Medical Informatics, 141(February), 104164. https://doi.org/10.1016/j.ijmedinf.2020.104164
Di Crosta, A., Palumbo, R., Marchetti, D., Ceccato, I., La Malva, P., Maiella, R., Cipi, M., Roma, P., Mammarella, N., & Verrocchio, M. C. (2020). Individual differences, economic stability, and fear of contagion as risk factors for PTSD symptoms in the COVID-19 emergency. Frontiers in Psychology, 11, 2329.
Dong, X., Chang, Y., Wang, Y., & Yan, J. (2017). Understanding usage of Internet of Things (IOT) systems in China: Cognitive experience and affect experience as moderator. Information Technology & People, 30(1), 117–138. https://doi.org/http://dx.doi.org/10.1207/S15327825MCS0301_03
El-Masri, M., & Tarhini, A. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Educational Technology Research and Develop-ment, 1–21. https://doi.org/10.1007/s11423-016-9508-8
Enaizan, O., Eneizan, B., Almaaitah, M., Al-Radaideh, A. T., & Saleh, A. M. (2020). Effects of privacy and security on the acceptance and usage of EMR: the mediating role of trust on the basis of multiple perspectives. Informatics in Medi-cine Unlocked, 100450.
Enroth, L., Jasilionis, D., Németh, L., Strand, B. H., Tanjung, I., Sundberg, L., Fors, S., Jylhä, M., & Brønnum-Hansen, H. (2022). Changes in socioeconomic differentials in old age life expectancy in four Nordic countries: the impact of edu-cational expansion and education-specific mortality. European Journal of Ageing, 1–12.
Gu, H., Krishnan, P., Ng, D. Y. M., Chang, L. D. J., Liu, G. Y. Z., Cheng, S. S. M., Hui, M. M. Y., Fan, M. C. Y., Wan, J. H. L., & Lau, L. H. K. (2021). Probable Transmission of SARS-CoV-2 Omicron Variant in Quarantine Hotel, Hong Kong, China, November 2021. Emerging Infectious Diseases, 28(2).
Habibipour, A., Padyab, A., & Ståhlbröst, A. (2019). Social, ethical and ecological issues in wearable technologies. 25th Americas Conference on Information Systems, AMCIS 2019, 1–10.
Hair, Hult, T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling. 2nd ed. Thousand Oakes.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616–632.
Harwood, T., & Garry, T. (2017). Internet of Things: understanding trust in techno-service systems. Journal of Service Management, 28(3), 442–475. https://doi.org/10.1108/JOSM-11-2016-0299
Hsu, C. L., & Lin, J. C. C. (2016). An empirical examination of consumer adoption of Internet of Things services: Net-work externalities and concern for information privacy perspectives. Computers in Human Behavior, 62, 516–527. https://doi.org/10.1016/j.chb.2016.04.023
Karahoca, A., Karahoca, D., & Aksöz, M. (2018). Examining intention to adopt to internet of things in healthcare technol-ogy products. Kybernetes, 47(4), 742–770. https://doi.org/10.1108/K-02-2017-0045
Kayali, M., & Alaaraj, S. (2020). Adoption of Cloud Based E-learning in Developing Countries : A Combination A of DOI , TAM and UTAUT. International Journal of Contemporary Management and Information Technology, 1(1), 1–7.
Kayali, M., Safie, N., & Mukhtar, M. (2019). The Effect of Individual Factors Mediated by Trust and Moderated by IT Knowledge on Students’ Adoption of Cloud Based E -learning. International Journal of Innovative Technology and Exploring Engineering, 9(2). https://doi.org/10.35940/ijitee.J1137.129219
Koch, J., Frommeyer, B., & Schewe, G. (2020). Online shopping motives during the COVID-19 pandemic—lessons from the crisis. Sustainability, 12(24), 10247.
Kurdi, B. Al, Alshurideh, M., Nuseir, M., Aburayya, A., & Salloum, S. A. (2021). The effects of subjective norm on the in-tention to use social media networks: an exploratory study using PLS-SEM and machine learning approach. Interna-tional Conference on Advanced Machine Learning Technologies and Applications, 581–592.
Lian, J. W. (2015). Critical factors for cloud based e-invoice service adoption in Taiwan: An empirical study. Internation-al Journal of Information Management, 35(1), 98–109. https://doi.org/10.1016/j.ijinfomgt.2014.10.005
Lu, Y., Papagiannidis, S., & Alamanos, E. (2018). Internet of things: A systematic review of the business literature from the user and organisational perspectives. Technological Forecasting and Social Change, 136(April 2017), 285–297. https://doi.org/10.1016/j.techfore.2018.01.022
Lynch, M., Bucknall, M., Jagger, C., & Wilkie, R. (2022). Projections of healthy working life expectancy in England to the year 2035. Nature Aging, 2(1), 13–18.
Maswadi, K., Ghani, N. A., & Hamid, S. (2022). Factors influencing the elderly’s behavioural intention to use smart home technologies in Saudi Arabia. Plos One, 17(8), e0272525.
Menychtas, A., Tsanakas, P., & Maglogiannis, I. (2020). Knowledge Discovery on IoT-Enabled mHealth Applications. In GeNeDis 2018 (pp. 181–191). Springer.
Mital, M., Chang, V., Choudhary, P., Papa, A., & Pani, A. K. (2018). Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach. Technological Forecasting and Social Change, 136, 339–346. https://doi.org/10.1016/j.techfore.2017.03.001
Padyab, A., & Ståhlbröst, A. (2018). Exploring the dimensions of individual privacy concerns in relation to the Internet of Things use situations. Digital Policy, Regulation and Governance , 20(6), 528–544. https://doi.org/10.1108/DPRG-05-2018-0023
Pal, D., Funilkul, S., Charoenkitkarn, N., & Kanthamanon, P. (2018). Internet-of-Things and Smart Homes for Elderly Healthcare: An End User Perspective. In IEEE Access. https://doi.org/10.1109/ACCESS.2018.2808472
Park, E., Cho, Y., Han, J., & Kwon, S. J. (2017). Comprehensive Approaches to User Acceptance of Internet of Things in a Smart Home Environment. IEEE Internet of Things Journal, 4(6), 2342–2350. https://doi.org/10.1109/JIOT.2017.2750765
Park, E., & Kim, K. J. (2014). An integrated adoption model of mobile cloud services: Exploration of key determinants and extension of technology acceptance model. Telematics and Informatics, 31(3), 376–385. https://doi.org/10.1016/j.tele.2013.11.008
Pinochet, L. H. C., Lopes, E. L., Srulzon, C. H. F., & Onusic, L. M. (2018). The influence of the attributes of “Internet of Things” products on functional and emotional experiences of purchase intention. Innovation & Management Review, 15(3), 303–320. https://doi.org/10.1108/inmr-05-2018-0028
Rahmi, B., Birgoren, B., & Aktepe, A. (2018). A meta analysis of factors affecting perceived usefulness and perceived ease of use in the adoption of e-learning systems. Turkish Online Journal of Distance Education, 19(4), 4–42.
Rai, S., & Biswas, S. N. (2022). Adoption of safe motherhood practices and the moderating role of facilitating conditions. Journal of Social Marketing, 12(4), 436-455.
Rawwash, H., Masad, F., Enaizan, O., Eneizan, B., Adaileh, M., Saleh, A., & Almestarihi, R. (2020). Factors affecting Jor-danian electronic banking services. Management Science Letters, 10(4), 915–922.
Saleh, A. M., Al-Badareen, A. B., & Enaizan, O. (2020). Automated user experience tool development for mobile applica-tion.
Sekaran, U., & Bougie, R. (2019). Research methods for business: A skill building approach. John Wiley & Sons.
Shachak, A., Kuziemsky, C., & Petersen, C. (2019). Beyond TAM and UTAUT: Future directions for HIT implementation research. Journal of Biomedical Informatics, 100, 103315. https://doi.org/10.1016/j.jbi.2019.103315
Shekar, A. R. (2019). Preventing Data Manipulation and Enhancing the Security of data in Fitness Mobile Application. 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), 740–745.
Shen, J., & Eder, L. B. (2009). Exploring intentions to use virtual worlds for business. Journal of Electronic Commerce Research, 10(2), 94.
Shin, D. H. (2017). A User-based Model for the Quality of Experience of the Internet of Things. Information and Man-agement, 54(8), 998–1011. https://doi.org/10.1016/j.im.2017.02.006
Shin, D. H., & Jin Park, Y. (2017). Understanding the Internet of Things ecosystem: multi-level analysis of users, society, and ecology. Digital Policy, Regulation and Governance , 19(1), 77–100. https://doi.org/10.1108/DPRG-07-2016-0035
Shin, D., & Hwang, Y. (2017). Integrated acceptance and sustainability evaluation of Internet of Medical Things: A dual-level analysis. Internet Research, 27(25), 1227–1254.
Singh, R. P., Javaid, M., Haleem, A., & Suman, R. (2020). Internet of things (IoT) applications to fight against COVID-19 pandemic. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 14(4), 521–524.
Siron, Y., Wibowo, A., & Narmaditya, B. S. (2020). Factors affecting the adoption of e-learning in Indonesia: Lesson from Covid-19. JOTSE: Journal of Technology and Science Education, 10(2), 282–295.
Solangi, Z. A., Solangi, Y. A., Aziz, M. S. A., & Asadullah. (2018). An empirical study of Internet of Things (IoT) - Based healthcare acceptance in Pakistan: PILOT study. 2017 IEEE 3rd International Conference on Engineering Technolo-gies and Social Sciences, ICETSS 2017, 2018-Janua, 1–7. https://doi.org/10.1109/ICETSS.2017.8324135
Tarhini, A., Hone, K., & Liu, X. (2015). A cross-cultural examination of the impact of social, organisational and individu-al factors on educational technology acceptance between British and Lebanese university students. British Journal of Educational Technology, 46(4), 739–755. https://doi.org/10.1111/bjet.12169
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