How to cite this paper
Nusairat, N., Abdellatif, H., Al-Gasawneh, J., Akhorshaideh, A., Aloqool, A., Rabah, S & Ahmad, A. (2021). Determinants of behavioral intentions to use mobile healthcare applications in Jordan.International Journal of Data and Network Science, 5(4), 547-556.
Refrences
Akter, S., Ray, P., & D’Ambra, J. (2013). Continuance of mHealth services at the bottom of the pyramid: the roles of ser-vice quality and trust. Electronic Markets, 23(1), 29-47.
Al-Gasawneh, J. A., & Al-Adamat, A. M. (2020). The relationship between perceived destination image, social media in-teraction and travel intentions relating to Neom city. Academy of Strategic Management Journal, 19(2), 1-12.
Al-Gasawneh, J., Al-Wadi, M., Al-Wadi, B., Alown, B. & Nuseirat, N. (2020). The Interaction Effect of Comprehensive-ness Between social media and Online Purchasing Intention in Jordanian Pharmacies. International Association of Online Engineering. Retrieved july 13, 2020 from https://www.learntechlib.org/p/217794/.
Al-Hazmi, N. M. (2021). The Use of Mobile Phones and their Apps in Tourism Marketing in the Kingdom of Saudi Ara-bia. International Journal of Interactive Mobile Technologies, 15(6).
Aljohani, N., & Chandran, D. (2019). Adoption of M-Health Applications: The Saudi Arabian Healthcare Perspectives.
Alloghani, M., Hussain, A., Al-Jumeily, D., & Abuelma'atti, O. (2015, December). Technology Acceptance Model for the Use of M-Health Services among health related users in UAE. In 2015 International Conference on Developments of E-Systems Engineering (DeSE) (pp. 213-217). IEEE.
Alsajjan, B., & Dennis, C. (2010). Internet banking acceptance model: Cross-market examination. Journal of business re-search, 63(9-10), 957-963.
Al-Sharafi, M. A., Arshah, R. A., Herzallah, F. A., & Alajmi, Q. (2017). The effect of perceived ease of use and usefulness on customers intention to use online banking services: the mediating role of perceived trust. International Journal of Innovative Computing, 7(1).
ALsswey, A., Naufal, I., & Bervell, B. (2018). Investigating the acceptance of mobile health application user interface cul-tural-based design to assist Arab elderly users. International Journal of Advanced Computer Science and Applica-tions, 9(8), 144-152.
Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: the impact of perceived useful-ness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International.
Baek, S., Seo, S. H., & Kim, S. (2016). Preserving patient's anonymity for mobile healthcare system in IoT environ-ment. International Journal of Distributed Sensor Networks, 12(7), 2171642.
Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2015). Mobile healthcare applications: system design review, criti-cal issues and challenges. Australasian Physical & eEngineering sciences in medicine, 38(1), 23-38.
Bolarinwa, O. A. (2015). Principles and methods of validity and reliability testing of questionnaires used in social and health science researches. Nigerian Postgraduate Medical Journal, 22(4), 195.
Carmi, L., Zohar, J., Arush, O. B., & Morein-Zamir, S. (2020). From checking the door to checking the app: assessment and treatment implications for obsessive–compulsive disorder in the digital era. CNS spectrums, 1-2.
Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling.
Chin, W. W. (2010). How to write up and report PLS analyses. In Handbook of partial least squares (pp. 655-690). Springer, Berlin, Heidelberg.
Damghanian, H., Zarei, A., & Siahsarani Kojuri, M. A. (2016). Impact of perceived security on trust, perceived risk, and acceptance of online banking in Iran. Journal of Internet Commerce, 15(3), 214-238.
Dunnewijk, T., & Hultén, S. (2007). A brief history of mobile communication in Europe. Telematics and Informat-ics, 24(3), 164-179.
Eze, E., Gleasure, R., & Heavin, C. (2020). Mobile health solutions in developing countries: a stakeholder perspec-tive. Health Systems, 9(3), 179-201.
Gefen, D., Rigdon, E. E., & Straub, D. (2011). Editor's comments: an update and extension to SEM guidelines for adminis-trative and social science research. Mis Quarterly, iii-xiv.
Green, S. B. (1991). How many subjects does it take to do a regression analysis. Multivariate behavioral research, 26(3), 499-510.
Hair, J. F., & Risher, J. J. MS and CMR (2019). When to use and how to report the results of PLSSEM", European Busi-ness Review, 31(1), 2-24.
Hammouri, Q. M., Abu-Shanab, E. A., & Nusairat, N. M. (2021a). Attitudes Toward Implementing E-Government in Health Insurance Administration. International Journal of Electronic Government Research (IJEGR), 17(2), 1-18.
Hammouri, Q., & Abu-Shanab, E. (2017, May). The antecedents of trust in social commerce. In 2017 8th International Conference on Information Technology (ICIT) (pp. 648-652). IEEE.
Hammouri, Q., & Abu-Shanab, E. A. (2020). Major Factors Influencing the Adoption of Cloud Computing in Jor-dan. International Journal of Technology and Human Interaction (IJTHI), 16(4), 55-69.
Hammouri, Q., Al-Gasawneh, J. A., Nusairat, N. M., Hanandeh, A., & Barakat, S. (2021b). The Determinants of Trust and its Influence on Online Buying Intention: An Empirical Study on Social Commerce in Jordan. Annals of the Romanian Society for Cell Biology, 4522-4539.
Hammouri, Q., Almajali, D. A., Nusairat, N., & Saraireh, S. (2020). Determinants of Users’ Satisfaction withMobile Apps. International Journal of Advanced Science and Technology, 29(3), 14613–14624.
Hawamleh, A. M. A., Alorfi, A. S. M., Al-Gasawneh, J. A., & Al-Rawashdeh, G. (2020). Cyber Security and Ethical Hack-ing: The Importance of Protecting User Data. Solid State Technology, 63(5), 7894-7899.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(1), 115-135.
Hoque, M. R., & Bao, Y. (2015). Cultural influence on adoption and use of e-Health: evidence in Bangla-desh. Telemedicine and e-Health, 21(10), 845-851.
Istepanian, R. S., & AlAnzi, T. (2020). Mobile health (m-health): Evidence-based progress or scientific retrogression. In Biomedical Information Technology (pp. 717-733). Academic Press.
Latif, S., Rana, R., Qadir, J., Ali, A., Imran, M. A., & Younis, M. S. (2017). Mobile health in the developing world: Re-view of literature and lessons from a case study. IEEE Access, 5, 11540-11556.
Laxminarayan, S., & Istepanian, R. S. (2000). UNWIRED E-MED: the next generation of wireless and internet telemedi-cine systems. IEEE Transactions on Information Technology in Biomedicine, 4(3), 189-193.
Lee, C., Lee, K., & Lee, D. (2017). Mobile healthcare applications and gamification for sustained health mainte-nance. Sustainability, 9(5), 772.
Lee, C. C., Hsu, C. W., Lai, Y. M., & Vasilakos, A. (2013). An enhanced mobile-healthcare emergency system based on extended chaotic maps. Journal of medical systems, 37(5), 1-12.
Lee, T., & Jun, J. (2007). Contextual perceived value? Investigating the role of contextual marketing for customer rela-tionship management in a mobile commerce context. Business Process Management Journal.
Li, Q. (2020). Healthcare at your fingertips: The acceptance and adoption of mobile medical treatment services among chinese users. International journal of environmental research and public health, 17(18), 6895.
Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464-478.
Lupieri, S., & Frisina Doetter, L. (2020). Transnational interdependency and healthcare system change: The role of hu-manitarian and development aid in shaping health policy in Jordan. Global Social Policy, 20(2), 192-214.
Manyati, T. K., & Mutsau, M. (2021). A systematic review of the factors that hinder the scale up of mobile health tech-nologies in antenatal care programmes in sub-Saharan Africa. African Journal of Science, Technology, Innovation and Development, 13(1), 125-131.
Mcknight, D. H., Carter, M., Thatcher, J. B., & Clay, P. F. (2011). Trust in a specific technology: An investigation of its components and measures. ACM Transactions on management information systems (TMIS), 2(2), 1-25.
Meshram, C., Lee, C. C., Meshram, S. G., Ramteke, R. J., & Meshram, A. (2020). An efficient mobile-healthcare emer-gency framework. Journal of medical systems, 44(3), 1-14.
Miao, R., Wu, Q., Wang, Z., Zhang, X., Song, Y., Zhang, H., ... & Jiang, Z. (2017). Factors that influence users’ adoption intention of mobile health: a structural equation modeling approach. International Journal of Production Re-search, 55(19), 5801-5815.
Mohamed, A. H. H., Tawfik, H., Al-Jumeily, D., & Norton, L. (2011, December). MoHTAM: A technology acceptance model for mobile health applications. In 2011 Developments in E-systems Engineering (pp. 13-18). IEEE.
Ngah, A. H., Gabarre, S., Han, H., Rahi, S., Al-Gasawneh, J. A., & Park, S. H. (2021). Intention to purchase halal cosmet-ics: do males and females differ? A multigroup analysis. Cosmetics, 8(1), 19.
Nusairat, N., Al-Gasawneh, J., Aloqool, A., Alzubi, K., Akhorshaideh, A., Joudeh, J., & Ibrahim, H. (2021). The relation-ship between Internet of things and search engine optimization in Jordanian Tele-Communication Companies: The mediating role of user behavior. International Journal of Data and Network Science, 5(3), 163-172.
Nusairat, N. M., Hammouri, Q., Al-Ghadir, H., Ahmad, A. M. K., & Abuhashesh, M. (2020a). Fitness Centers Ambience-Customer Behavioral Intentions Relationship: The Mediating Role of Customer Emotional States. International Jour-nal of Business and Management, 15(9).
Nusairat, N., Hammouri, Q., Al-Ghadir, H., Ahmad, A., & Eid, M. (2020b). The effect of design of restaurant on customer behavioral intentions. Management Science Letters, 10(9), 1929-1938.
Petersen, F., Jacobs, M., & Pather, S. (2020). Barriers for user acceptance of mobile health applications for diabetic pa-tients: Applying the utaut model. Responsible design, implementation and use of information and communication tech-nology, 12067, 61.
Puriwat, W., & Tripopsakul, S. (2017). Mobile banking adoption in Thailand: an integration of technology acceptance model and mobile service quality.
Qureshi, K. N., Din, S., Jeon, G., & Piccialli, F. (2020). An accurate and dynamic predictive model for a smart M-Health system using machine learning. Information Sciences, 538, 486-502.
Schaefer, K. E., Chen, J. Y., Szalma, J. L., & Hancock, P. A. (2016). A meta-analysis of factors influencing the develop-ment of trust in automation: Implications for understanding autonomy in future systems. Human factors, 58(3), 377-400.
Shareef, M. A., Kumar, V., Kumar, U., & Dwivedi, Y. K. (2011). e-Government Adoption Model (GAM): Differing ser-vice maturity levels. Government information quarterly, 28(1), 17-35.
Sintonen, S., & Immonen, M. (2013). Telecare services for aging people: Assessment of critical factors influencing the adoption intention. Computers in Human Behavior, 29(4), 1307-1317.
Tachakra, S., Wang, X. H., Istepanian, R. S., & Song, Y. H. (2003). Mobile e-health: the unwired evolution of telemedi-cine. Telemedicine Journal and E-health, 9(3), 247-257.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the uni-fied theory of acceptance and use of technology. MIS quarterly, 157-178.
Ventre, I., & Kolbe, D. (2020). The impact of perceived usefulness of online reviews, trust and perceived risk on online purchase intention in emerging markets: A Mexican perspective. Journal of International Consumer Marketing, 32(4), 287-299.
Yang, X., & Kovarik, C. L. (2021). A systematic review of mobile health interventions in China: identifying gaps in care. Journal of telemedicine and telecare, 27(1), 3-22.
Yoon, C. (2009). The effects of national culture values on consumer acceptance of e-commerce: Online shoppers in Chi-na. Information & Management, 46(5), 294-301.
Zhang, T., Tao, D., Qu, X., Zhang, X., Zeng, J., Zhu, H., & Zhu, H. (2020). Automated vehicle acceptance in China: Social influence and initial trust are key determinants. Transportation research part C: emerging technologies, 112, 220-233.
Zhang, X., Guo, X., Lai, K. H., Guo, F., & Li, C. (2014). Understanding gender differences in m-health adoption: a modi-fied theory of reasoned action model. Telemedicine and e-Health, 20(1), 39-46.
Zhao, Y., Ni, Q., & Zhou, R. (2018). What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age. International Journal of Information Management, 43, 342-350.
Al-Gasawneh, J. A., & Al-Adamat, A. M. (2020). The relationship between perceived destination image, social media in-teraction and travel intentions relating to Neom city. Academy of Strategic Management Journal, 19(2), 1-12.
Al-Gasawneh, J., Al-Wadi, M., Al-Wadi, B., Alown, B. & Nuseirat, N. (2020). The Interaction Effect of Comprehensive-ness Between social media and Online Purchasing Intention in Jordanian Pharmacies. International Association of Online Engineering. Retrieved july 13, 2020 from https://www.learntechlib.org/p/217794/.
Al-Hazmi, N. M. (2021). The Use of Mobile Phones and their Apps in Tourism Marketing in the Kingdom of Saudi Ara-bia. International Journal of Interactive Mobile Technologies, 15(6).
Aljohani, N., & Chandran, D. (2019). Adoption of M-Health Applications: The Saudi Arabian Healthcare Perspectives.
Alloghani, M., Hussain, A., Al-Jumeily, D., & Abuelma'atti, O. (2015, December). Technology Acceptance Model for the Use of M-Health Services among health related users in UAE. In 2015 International Conference on Developments of E-Systems Engineering (DeSE) (pp. 213-217). IEEE.
Alsajjan, B., & Dennis, C. (2010). Internet banking acceptance model: Cross-market examination. Journal of business re-search, 63(9-10), 957-963.
Al-Sharafi, M. A., Arshah, R. A., Herzallah, F. A., & Alajmi, Q. (2017). The effect of perceived ease of use and usefulness on customers intention to use online banking services: the mediating role of perceived trust. International Journal of Innovative Computing, 7(1).
ALsswey, A., Naufal, I., & Bervell, B. (2018). Investigating the acceptance of mobile health application user interface cul-tural-based design to assist Arab elderly users. International Journal of Advanced Computer Science and Applica-tions, 9(8), 144-152.
Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: the impact of perceived useful-ness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International.
Baek, S., Seo, S. H., & Kim, S. (2016). Preserving patient's anonymity for mobile healthcare system in IoT environ-ment. International Journal of Distributed Sensor Networks, 12(7), 2171642.
Baig, M. M., GholamHosseini, H., & Connolly, M. J. (2015). Mobile healthcare applications: system design review, criti-cal issues and challenges. Australasian Physical & eEngineering sciences in medicine, 38(1), 23-38.
Bolarinwa, O. A. (2015). Principles and methods of validity and reliability testing of questionnaires used in social and health science researches. Nigerian Postgraduate Medical Journal, 22(4), 195.
Carmi, L., Zohar, J., Arush, O. B., & Morein-Zamir, S. (2020). From checking the door to checking the app: assessment and treatment implications for obsessive–compulsive disorder in the digital era. CNS spectrums, 1-2.
Chin, W. W. (1998). Commentary: Issues and opinion on structural equation modeling.
Chin, W. W. (2010). How to write up and report PLS analyses. In Handbook of partial least squares (pp. 655-690). Springer, Berlin, Heidelberg.
Damghanian, H., Zarei, A., & Siahsarani Kojuri, M. A. (2016). Impact of perceived security on trust, perceived risk, and acceptance of online banking in Iran. Journal of Internet Commerce, 15(3), 214-238.
Dunnewijk, T., & Hultén, S. (2007). A brief history of mobile communication in Europe. Telematics and Informat-ics, 24(3), 164-179.
Eze, E., Gleasure, R., & Heavin, C. (2020). Mobile health solutions in developing countries: a stakeholder perspec-tive. Health Systems, 9(3), 179-201.
Gefen, D., Rigdon, E. E., & Straub, D. (2011). Editor's comments: an update and extension to SEM guidelines for adminis-trative and social science research. Mis Quarterly, iii-xiv.
Green, S. B. (1991). How many subjects does it take to do a regression analysis. Multivariate behavioral research, 26(3), 499-510.
Hair, J. F., & Risher, J. J. MS and CMR (2019). When to use and how to report the results of PLSSEM", European Busi-ness Review, 31(1), 2-24.
Hammouri, Q. M., Abu-Shanab, E. A., & Nusairat, N. M. (2021a). Attitudes Toward Implementing E-Government in Health Insurance Administration. International Journal of Electronic Government Research (IJEGR), 17(2), 1-18.
Hammouri, Q., & Abu-Shanab, E. (2017, May). The antecedents of trust in social commerce. In 2017 8th International Conference on Information Technology (ICIT) (pp. 648-652). IEEE.
Hammouri, Q., & Abu-Shanab, E. A. (2020). Major Factors Influencing the Adoption of Cloud Computing in Jor-dan. International Journal of Technology and Human Interaction (IJTHI), 16(4), 55-69.
Hammouri, Q., Al-Gasawneh, J. A., Nusairat, N. M., Hanandeh, A., & Barakat, S. (2021b). The Determinants of Trust and its Influence on Online Buying Intention: An Empirical Study on Social Commerce in Jordan. Annals of the Romanian Society for Cell Biology, 4522-4539.
Hammouri, Q., Almajali, D. A., Nusairat, N., & Saraireh, S. (2020). Determinants of Users’ Satisfaction withMobile Apps. International Journal of Advanced Science and Technology, 29(3), 14613–14624.
Hawamleh, A. M. A., Alorfi, A. S. M., Al-Gasawneh, J. A., & Al-Rawashdeh, G. (2020). Cyber Security and Ethical Hack-ing: The Importance of Protecting User Data. Solid State Technology, 63(5), 7894-7899.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(1), 115-135.
Hoque, M. R., & Bao, Y. (2015). Cultural influence on adoption and use of e-Health: evidence in Bangla-desh. Telemedicine and e-Health, 21(10), 845-851.
Istepanian, R. S., & AlAnzi, T. (2020). Mobile health (m-health): Evidence-based progress or scientific retrogression. In Biomedical Information Technology (pp. 717-733). Academic Press.
Latif, S., Rana, R., Qadir, J., Ali, A., Imran, M. A., & Younis, M. S. (2017). Mobile health in the developing world: Re-view of literature and lessons from a case study. IEEE Access, 5, 11540-11556.
Laxminarayan, S., & Istepanian, R. S. (2000). UNWIRED E-MED: the next generation of wireless and internet telemedi-cine systems. IEEE Transactions on Information Technology in Biomedicine, 4(3), 189-193.
Lee, C., Lee, K., & Lee, D. (2017). Mobile healthcare applications and gamification for sustained health mainte-nance. Sustainability, 9(5), 772.
Lee, C. C., Hsu, C. W., Lai, Y. M., & Vasilakos, A. (2013). An enhanced mobile-healthcare emergency system based on extended chaotic maps. Journal of medical systems, 37(5), 1-12.
Lee, T., & Jun, J. (2007). Contextual perceived value? Investigating the role of contextual marketing for customer rela-tionship management in a mobile commerce context. Business Process Management Journal.
Li, Q. (2020). Healthcare at your fingertips: The acceptance and adoption of mobile medical treatment services among chinese users. International journal of environmental research and public health, 17(18), 6895.
Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464-478.
Lupieri, S., & Frisina Doetter, L. (2020). Transnational interdependency and healthcare system change: The role of hu-manitarian and development aid in shaping health policy in Jordan. Global Social Policy, 20(2), 192-214.
Manyati, T. K., & Mutsau, M. (2021). A systematic review of the factors that hinder the scale up of mobile health tech-nologies in antenatal care programmes in sub-Saharan Africa. African Journal of Science, Technology, Innovation and Development, 13(1), 125-131.
Mcknight, D. H., Carter, M., Thatcher, J. B., & Clay, P. F. (2011). Trust in a specific technology: An investigation of its components and measures. ACM Transactions on management information systems (TMIS), 2(2), 1-25.
Meshram, C., Lee, C. C., Meshram, S. G., Ramteke, R. J., & Meshram, A. (2020). An efficient mobile-healthcare emer-gency framework. Journal of medical systems, 44(3), 1-14.
Miao, R., Wu, Q., Wang, Z., Zhang, X., Song, Y., Zhang, H., ... & Jiang, Z. (2017). Factors that influence users’ adoption intention of mobile health: a structural equation modeling approach. International Journal of Production Re-search, 55(19), 5801-5815.
Mohamed, A. H. H., Tawfik, H., Al-Jumeily, D., & Norton, L. (2011, December). MoHTAM: A technology acceptance model for mobile health applications. In 2011 Developments in E-systems Engineering (pp. 13-18). IEEE.
Ngah, A. H., Gabarre, S., Han, H., Rahi, S., Al-Gasawneh, J. A., & Park, S. H. (2021). Intention to purchase halal cosmet-ics: do males and females differ? A multigroup analysis. Cosmetics, 8(1), 19.
Nusairat, N., Al-Gasawneh, J., Aloqool, A., Alzubi, K., Akhorshaideh, A., Joudeh, J., & Ibrahim, H. (2021). The relation-ship between Internet of things and search engine optimization in Jordanian Tele-Communication Companies: The mediating role of user behavior. International Journal of Data and Network Science, 5(3), 163-172.
Nusairat, N. M., Hammouri, Q., Al-Ghadir, H., Ahmad, A. M. K., & Abuhashesh, M. (2020a). Fitness Centers Ambience-Customer Behavioral Intentions Relationship: The Mediating Role of Customer Emotional States. International Jour-nal of Business and Management, 15(9).
Nusairat, N., Hammouri, Q., Al-Ghadir, H., Ahmad, A., & Eid, M. (2020b). The effect of design of restaurant on customer behavioral intentions. Management Science Letters, 10(9), 1929-1938.
Petersen, F., Jacobs, M., & Pather, S. (2020). Barriers for user acceptance of mobile health applications for diabetic pa-tients: Applying the utaut model. Responsible design, implementation and use of information and communication tech-nology, 12067, 61.
Puriwat, W., & Tripopsakul, S. (2017). Mobile banking adoption in Thailand: an integration of technology acceptance model and mobile service quality.
Qureshi, K. N., Din, S., Jeon, G., & Piccialli, F. (2020). An accurate and dynamic predictive model for a smart M-Health system using machine learning. Information Sciences, 538, 486-502.
Schaefer, K. E., Chen, J. Y., Szalma, J. L., & Hancock, P. A. (2016). A meta-analysis of factors influencing the develop-ment of trust in automation: Implications for understanding autonomy in future systems. Human factors, 58(3), 377-400.
Shareef, M. A., Kumar, V., Kumar, U., & Dwivedi, Y. K. (2011). e-Government Adoption Model (GAM): Differing ser-vice maturity levels. Government information quarterly, 28(1), 17-35.
Sintonen, S., & Immonen, M. (2013). Telecare services for aging people: Assessment of critical factors influencing the adoption intention. Computers in Human Behavior, 29(4), 1307-1317.
Tachakra, S., Wang, X. H., Istepanian, R. S., & Song, Y. H. (2003). Mobile e-health: the unwired evolution of telemedi-cine. Telemedicine Journal and E-health, 9(3), 247-257.
Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the uni-fied theory of acceptance and use of technology. MIS quarterly, 157-178.
Ventre, I., & Kolbe, D. (2020). The impact of perceived usefulness of online reviews, trust and perceived risk on online purchase intention in emerging markets: A Mexican perspective. Journal of International Consumer Marketing, 32(4), 287-299.
Yang, X., & Kovarik, C. L. (2021). A systematic review of mobile health interventions in China: identifying gaps in care. Journal of telemedicine and telecare, 27(1), 3-22.
Yoon, C. (2009). The effects of national culture values on consumer acceptance of e-commerce: Online shoppers in Chi-na. Information & Management, 46(5), 294-301.
Zhang, T., Tao, D., Qu, X., Zhang, X., Zeng, J., Zhu, H., & Zhu, H. (2020). Automated vehicle acceptance in China: Social influence and initial trust are key determinants. Transportation research part C: emerging technologies, 112, 220-233.
Zhang, X., Guo, X., Lai, K. H., Guo, F., & Li, C. (2014). Understanding gender differences in m-health adoption: a modi-fied theory of reasoned action model. Telemedicine and e-Health, 20(1), 39-46.
Zhao, Y., Ni, Q., & Zhou, R. (2018). What factors influence the mobile health service adoption? A meta-analysis and the moderating role of age. International Journal of Information Management, 43, 342-350.