Implementing Artificial Intelligence in the United Arab Emirates Healthcare Sector: An Extended Technology Acceptance Model
Abstract
The United Arab Emirates (UAE) has recently focused on implementing Artificial Intelligence (AI) projects in the government healthcare sector to help manage chronic diseases and early detection. However, successful AI implementation depends on adoption and acceptance by decision-makers, physicians, nurses, and patients. This paper develops and tests a modified Technology Acceptance Model (TAM) to explore critical success factors (CSFs) for the adoption of AI in the healthcare sector. The most widely used CSF variables for TAM are Perceived Usefulness (PU), Perceived Ease of Use (PEU), Attitudes toward Use (ATU) and Behavioral Intention to Use (BIU). However, a review of 23 qualitative and quantitative studies of TAM literature from 2015 to 2018 suggested that five key external factors should be included in CSF studies using TAM. An extended model was developed (ETAM) and tested using a qualitative study comprising 53 employees working in the Dubai IT and healthcare sectors. The study showed that managerial, organizational, operational and IT infrastructure factors have a positive effect on PU and PEU and, hence, should be included as CSFs in determining the implementation of AI in the healthcare sector.References
Abdullah, F., & Ward, R. (2016). Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in Human Behavior, 56, 238–256. https://doi.org/10.1016/j.chb.2015.11.036
Al-dweeri, R. M., Obeidat, Z. M., Al-dwiry, M. A., Alshurideh, M. T., & Alhorani, A. M. (2017). The impact of e-service quality and e-loyalty on online shopping: moderating effect of e-satisfaction and e-trust. International Journal of Marketing Studies, 9(2), 92.
Al-Emran, M. (2015a). Hierarchical Reinforcement Learning: A Survey. International Journal of Computing and Digital Systems, 4(2), 137–143.
Al-Emran, M. (2015b). Speeding Up the Learning in A Robot Simulator. International Journal of Computing and Network Technology, 3(3).
Al-Emran, M., Alkhoudary, Y. A., Mezhuyev, V., & Al-Emran, M. (2019). Students and Educators Attitudes towards the use of M-Learning: Gender and Smartphone ownership Differences. International Journal of Interactive Mobile Technologies (IJIM), 13(1), 127–135.
Al-Emran, M., Malik, S. I., & Al-Kabi, M. N. (2020). A Survey of Internet of Things (IoT) in Education: Opportunities and Challenges. In Toward Social Internet of Things (SIoT): Enabling Technologies, Architectures and Applications (pp. 197–209). Springer.
Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). PLS-SEM in Information Systems Research: A Comprehensive Methodological Reference. In 4th International Conference on Advanced Intelligent Systems and Informatics (AISI 2018) (pp. 644–653). Springer.
Al-Emran, M., & Salloum, S. A. (2017). Students’ Attitudes Towards the Use of Mobile Technologies in e-Evaluation. International Journal of Interactive Mobile Technologies (IJIM), 11(5), 195–202. https://doi.org/10.3991/ijim.v11i5.6879
Al-Emran, M., & Teo, T. (2019). Do knowledge acquisition and knowledge sharing really affect e-learning adoption? An empirical study. Education and Information Technologies. https://doi.org/10.1007/s10639-019-10062-w
Al-Emran, M., Zaza, S., & Shaalan, K. (2015). Parsing modern standard Arabic using Treebank resources. In 2015 International Conference on Information and Communication Technology Research, ICTRC 2015. https://doi.org/10.1109/ICTRC.2015.7156426
Al-Maroof, R. S., Salloum, S. A., AlHamadand, A. Q. M., & Shaalan, K. (2019). A Unified Model for the Use and Acceptance of Stickers in Social Media Messaging. In International Conference on Advanced Intelligent Systems and Informatics (pp. 370–381). Springer.
Al-Mohammadi, S. (2014). Integrating Reading and Writing in ELT. In Focusing on EFL Reading: Theory and Practice (pp. 260–274). Cambridge Scholars Publishing.
Al-Mohammadi, S. A., & Derbel, E. (2015). To Whom Do We Write?: Audience in EFL Composition Classes. In Methodologies for effective writing instruction in EFL and ESL classrooms (pp. 197–208). IGI Global.
Al-Qaysi, N., Mohamad-Nordin, N., & Al-Emran, M. (2019a). An Empirical Investigation of Students’ Attitudes Towards the Use of Social Media in Omani Higher Education. In International Conference on Advanced Intelligent Systems and Informatics (pp. 350–359). Springer.
Al-Qaysi, N., Mohamad-Nordin, N., & Al-Emran, M. (2019b). What leads to social learning? Students’ attitudes towards using social media applications in Omani higher education. Education and Information Technologies.
Al-Qaysi, N., Mohamad-Nordin, N., Al-Emran, M., & Al-Sharafi, M. A. (2019). Understanding the differences in students’ attitudes towards social media use: A case study from Oman. In 2019 IEEE Student Conference on Research and Development (SCOReD) (pp. 176–179). IEEE.
Al-Qaysi, Noor, Mohamad-Nordin, N., & Al-Emran, M. (2018). A Systematic Review of Social Media Acceptance from the Perspective of Educational and Information Systems Theories and Models. Journal of Educational Computing Research. https://doi.org/https://doi.org/10.1177/0735633118817879
Al-Shibly, M. S., Alghizzawi, M., Habes, M., & Salloum, S. A. (2019). The Impact of De-marketing in Reducing Jordanian Youth Consumption of Energy Drinks. In International Conference on Advanced Intelligent Systems and Informatics (pp. 427–437). Springer.
Al Dmour, H., Alshurideh, M., & Shishan, F. (2014). The influence of mobile application quality and attributes on the continuance intention of mobile shopping. Life Science Journal, 11(10), 172–181.
Alghizzawi, M., Ghani, M. A., Som, A. P. M., Ahmad, M. F., Amin, A., Bakar, N. A., … Habes, M. (2018). The Impact of Smartphone Adoption on Marketing Therapeutic Tourist Sites in Jordan. International Journal of Engineering & Technology, 7(4.34), 91–96.
Alghizzawi, M., Habes, M., & Salloum, S. A. (2019). The Relationship Between Digital Media and Marketing Medical Tourism Destinations in Jordan: Facebook Perspective. In International Conference on Advanced Intelligent Systems and Informatics (pp. 438–448). Springer.
Alghizzawi, M., Salloum, S. A., & Habes, M. (2018). The role of social media in tourism marketing in Jordan. International Journal of Information Technology and Language Studies, 2(3).
Alharbi, S., & Drew, S. (2014). Using the technology acceptance model in understanding academics’ behavioural intention to use learning management systems. International Journal of Advanced Computer Science and Applications, 5(1), 143–155.
Alhashmi, S. F. S., Salloum, S. A., & Abdallah, S. (2019). Critical Success Factors for Implementing Artificial Intelligence (AI) Projects in Dubai Government United Arab Emirates (UAE) Health Sector: Applying the Extended Technology Acceptance Model (TAM). In International Conference on Advanced Intelligent Systems and Informatics (pp. 393–405). Springer.
Alkalha, Z., Al-Zu’bi, Z., Al-Dmour, H., Alshurideh, M., & Masa’deh, R. (2012). Investigating the effects of human resource policies on organizational performance: An empirical study on commercial banks operating in Jordan. European Journal of Economics, Finance and Administrative Sciences, 51(1), 44–64.
Alloghani, M., Hussain, A., Al-Jumeily, D., & Abuelma’atti, O. (2015). 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.
Alomari, K. M., AlHamad, A. Q., & Salloum, S. (n.d.). Prediction of the Digital Game Rating Systems based on the ESRB.
Alshraideh, A., Al-Lozi, M., & Alshurideh, M. (2017). The Impact of Training Strategy on Organizational Loyalty via the Mediating Variables of Organizational Satisfaction and Organizational Performance: An Empirical Study on Jordanian Agricultural Credit Corporation Staff. Journal of Social Sciences (COES&RJ-JSS), 6, 383–394.
ALSHURIDEH, M. (2010). Customer Service Retention–A Behavioural Perspective of the UK Mobile Market. Durham University.
Alshurideh, M., Salloum, S. A., Al Kurdi, B., & Al-Emran, M. (2019). Factors affecting the Social Networks Acceptance: An Empirical Study using PLS-SEM Approach. In 8th International Conference on Software and Computer Applications (pp. 414–418). Penang, Malaysia: ACM. https://doi.org/10.1145/3316615.3316720
Alshurideh, M. T., Salloum, S. A., Al Kurdi, B., Monem, A. A., & Shaalan, K. (2019). Understanding the Quality Determinants that Influence the Intention to Use the Mobile Learning Platforms: A Practical Study. International Journal of Interactive Mobile Technologies (IJIM), 13(11), 157–183.
Alshurideh, M, Alhadid, A., & Al kurdi, B. (2015). The effect of internal marketing on organizational citizenship behavior an applicable study on the University of Jordan employees. International Journal of Marketing Studies, 7(1), 138.
Alshurideh, M, Nicholson, M., & Xiao, S. (2012). The Effect of Previous Experience on Mobile Subscribers’ Repeat Purchase Behaviour. European Journal of Social Sciences, 30(3), 366–376.
Alshurideh, Muhammad. (2014). The Factors Predicting Students’ Satisfaction with Universities’ Healthcare Clinics’ Services: A Case-Study from the Jordanian Higher Education Sector. Dirasat: Administrative Sciences, 41(2), 451–464.
Alshurideh, Muhammad. (2016). Scope of Customer Retention Problem in the Mobile Phone Sector: A Theoretical Perspective. Journal of Marketing and Consumer Research, 20, 64–69.
Alshurideh, Muhammad. (2018). Pharmaceutical Promotion Tools Effect on Physician’s Adoption of Medicine Prescribing: Evidence from Jordan. Modern Applied Science, 12(11).
Alshurideh, Muhammad, Al Kurdi, B., & Salloum, S. A. (2019). Examining the Main Mobile Learning System Drivers’ Effects: A Mix Empirical Examination of Both the Expectation-Confirmation Model (ECM) and the Technology Acceptance Model (TAM). In International Conference on Advanced Intelligent Systems and Informatics (pp. 406–417). Springer.
Altamony, H., Alshurideh, M., & Obeidat, B. (2012). Information systems for competitive advantage: Implementation of an organisational strategic management process. In Proceedings of the 18th IBIMA conference on innovation and sustainable economic competitive advantage: From regional development to world economic, Istanbul, Turkey, 9th-10th May.
Ammari, G., Al kurdi, B., Alshurideh, M., & Alrowwad, A. (2017). Investigating the impact of communication satisfaction on organizational commitment: a practical approach to increase employees’ loyalty. International Journal of Marketing Studies, 9(2), 113–133.
Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411.
Baharom, F., Khorma, O. T., Mohd, H., & Bashayreh, M. G. (2011). Developing an extended technology acceptance model: doctors’ acceptance of electronic medical records in Jordan. ICOCI.
Basak, E., Gumussoy, C. A., & Calisir, F. (2015). Examining the factors affecting PDA acceptance among physicians: an extended technology acceptance model. Journal of Healthcare Engineering, 6(3), 399–418.
Bashiri, A., Ghazisaeedi, M., Safdari, R., Shahmoradi, L., & Ehtesham, H. (2017). Improving the prediction of survival in cancer patients by using machine learning techniques: experience of gene expression data: a narrative review. Iranian Journal of Public Health, 46(2), 165.
Bennani, A.-E., & Oumlil, R. (2014). The Acceptance of ICT by Geriatricians reinforces the value of care for seniors in Morocco. IBIMA Publ. J. African Res. Bus. Technol. J. African Res. Bus. Technol, 2014(2014).
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295–336.
Christensen, L. B. R., Thomas, G., Calleya, J., & Nielsen, U. D. (2018). The Effect of Operational Factors on Container Ship Fuel Performance. In Proceedings of Full Scale Ship Performance. The Royal Institution of Naval Architects.
Costantino, F., Di Gravio, G., & Nonino, F. (2015). Project selection in project portfolio management: An artificial neural network model based on critical success factors. International Journal of Project Management, 33(8), 1744–1754.
Dahiya, D., & Mathew, S. K. (2016). IT assets, IT infrastructure performance and IT capability: a framework for e-government. Transforming Government: People, Process and Policy, 10(3), 411–433.
Derbel, E. (2014). Constructing Afro-Caribbean Identity through Memory and Language in Grace Nichols’s I Is Along Memoried Woman. In Selim. Y.F and Mohamed,E (Eds). Who Defines Me: Negotiating Identity in Language and Literature, Pp 63-76. UK: Cambridge Scholars Publishing.
Derbel, Emira. (2017a). Iranian Women in the Memoir: Comparing Reading Lolita in Tehran and Persepolis (1) and (2). Cambridge Scholars Publishing.
Derbel, Emira. (2017b). The African Novel: The Ongoing Battle against Literary and National Neo-Colonialism. International Journal of Information Technology and Language Studies, 1(1).
Derbel, Emira. (2019a). Feminist Graphic Narratives: The Ongoing Game of Eluding Censorship. Mediterranean Journal of Social Sciences, 10(1), 49.
Derbel, Emira. (2019b). Teaching Literature through Comics: An Innovative Pedagogical Tool. International Journal of Applied Linguistics and English Literature, 8(1), 54–61.
ELSamen, A., & Alshurideh, M. (2012). The impact of internal marketing on internal service quality: A case study in a Jordanian pharmaceutical company. International Journal of Business and Management, 7(19), 84.
Emad, H., El-Bakry, H. M., & Asem, A. (2016). A Modified Technology Acceptance Model for Health Informatics.
Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press.
Fathema, N., Shannon, D., & Ross, M. (2015). Expanding The Technology Acceptance Model ( TAM ) to Examine Faculty Use of Learning Management Systems ( LMSs ) In Higher Education Institutions. MERLOT Journal of Online Learning and Teaching, 11(2), 210–232. https://doi.org/10.12720/joams.4.2.92-97
Fayad, R., & Paper, D. (2015). The technology acceptance model e-commerce extension: a conceptual framework. Procedia Economics and Finance, 26, 1000–1006.
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models With Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
Gefen, D., Straub, D., & Boudreau, M.-C. (2000). Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems, 4(1), 1–77. https://doi.org/10.1.1.25.781
Ghannajeh, A., AlShurideh, M., Zu’bi, M., Abuhamad, A., Rumman, G., Suifan, T., & Akhorshaideh, A. (2015). A Qualitative Analysis of Product Innovation in Jordan’s Pharmaceutical Sector. European Scientific Journal, 11(4), 474–503.
Habes, M., Salloum, S. A., Alghizzawi, M., & Alshibly, M. S. (2018). The role of modern media technology in improving collaborative learning of students in Jordanian universities. International Journal of Information Technology and Language Studies, 2(3), 71–82.
Habes, Mohammed, Salloum, S. A., Alghizzawi, M., & Mhamdi, C. (2019). The Relation Between Social Media and Students’ Academic Performance in Jordan: YouTube Perspective. In International Conference on Advanced Intelligent Systems and Informatics (pp. 382–392). Springer.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis (Vol. 5). Prentice hall Upper Saddle River, NJ.
Helia, V. N., Indira Asri, V., Kusrini, E., & Miranda, S. (2018). Modified technology acceptance model for hospital information system evaluation–a case study.
Ma, W., & Yuen, A. (2011). 11. E-LEARNING SYSTEM ACCEPTANCE AND USAGE PATTERN. Technology Acceptance in Education: Research and Issues, 201.
Malik, S. I., & Al-Emran, M. (2018). Social Factors Influence on Career Choices for Female Computer Science Students. International Journal of Emerging Technologies in Learning (IJET), 13(5), 56–70.
Mezhuyev, V., Al-Emran, M., Fatehah, M., & Hong, N. C. (2018). Factors affecting the Metamodelling Acceptance: A Case Study from Software Development Companies in Malaysia. IEEE Access, 6, 49476–49485.
Mezhuyev, V., Al-Emran, M., Ismail, M. A., Benedicenti, L., & Chandran, D. A. (2019). The acceptance of search-based software engineering techniques: An empirical evaluation using the technology acceptance model. IEEE Access. https://doi.org/10.1109/access.2019.2917913
Mhamdi, C. (2017a). Interpreting Games: Meaning Creation in the Context of Temporality and Interactivity. Mediterranean Journal of Social Sciences, 8(4).
Mhamdi, C. (2017b). What Can Video Add to the Learning Experience? Challenges and Opportunities. International Journal of Information Technology and Language Studies, 1(1), 17–24.
Mijwel, M. M. (2015). History of Artificial Intelligence. Computer Science, College of Science, Pp.1-6.
Milošević, I., Živković, D., Manasijević, D., & Nikolić, D. (2015). The effects of the intended behavior of students in the use of M-learning. Computers in Human Behavior, 51, 207–215.
Mokyr, J. (2018). The British industrial revolution: an economic perspective. Routledge.
Navimipour, N. J., & Charband, Y. (2016). Knowledge sharing mechanisms and techniques in project teams: Literature review, classification, and current trends. Computers in Human Behavior, 62, 730–742.
Nunnally, J. C., & Bernstein, I. H. (1978). Psychometric theory.
Phatthana, W., & Mat, N. K. N. (2011). The Application of Technology Acceptance Model (TAM) on health tourism e-purchase intention predictors in Thailand. In 2010 International Conference on Business and Economics Research (Vol. 1, pp. 196–199).
Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS 2.0 (Beta). Hamburg. Available in Http://Www. Smartpls. De.
Saa, A. A., Al-Emran, M., & Shaalan, K. (2019). Factors Affecting Students’ Performance in Higher Education: A Systematic Review of Predictive Data Mining Techniques. Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-019-09408-7
Salloum, S. A., & Al-Emran, M. (2018). Factors affecting the adoption of E-payment systems by university students: Extending the TAM with trust. International Journal of Electronic Business, 14(4), 371–390.
Salloum, S. A., Al-Emran, M., Khalaf, R., Habes, M., & Shaalan, K. (2019). An Innovative Study of E-Payment Systems Adoption in Higher Education: Theoretical Constructs and Empirical Analysis. International Journal of Interactive Mobile Technologies, 13(6). https://doi.org/10.3991/ijim.v13i06.9875
Salloum, S. A., Al-Emran, M., & Shaalan, K. (2018). The Impact of Knowledge Sharing on Information Systems: A Review. In International Conference on Knowledge Management in Organizations (pp. 94–106). Slovakia: Springer.
Salloum, S. A., Al-Emran, M., Shaalan, K., & Tarhini, A. (2019). Factors affecting the E-learning acceptance: A case study from UAE. Education and Information Technologies, 24(1), 509–530. https://doi.org/https://doi.org/10.1007/s10639-018-9786-3
Salloum, S. A., Alhamad, A. Q. M., Al-Emran, M., Monem, A. A., & Shaalan, K. (2019). Exploring Students’ Acceptance of E-Learning Through the Development of a Comprehensive Technology Acceptance Model. IEEE Access, 7, 128445–128462. https://doi.org/10.1109/access.2019.2939467
Salloum, S. A., Mhamdi, C., Al-Emran, M., & Shaalan, K. (2017). Analysis and Classification of Arabic Newspapers’ Facebook Pages using Text Mining Techniques. International Journal of Information Technology and Language Studies, 1(2), 8–17.
Salloum, S. A., Mhamdi, C., Al Kurdi, B., & Shaalan, K. (2018). Factors affecting the Adoption and Meaningful Use of Social Media: A Structural Equation Modeling Approach. International Journal of Information Technology and Language Studies, 2(3), 96–109.
Salloum, S. A. S., & Shaalan, K. (2018). Investigating students’ acceptance of E-learning system in Higher Educational Environments in the UAE: Applying the Extended Technology Acceptance Model (TAM). The British University in Dubai.
Salloum, S.A., Al-Emran, M., Monem, A. A., & Shaalan, K. (2018). Using text mining techniques for extracting information from research articles. In Studies in Computational Intelligence (Vol. 740). Springer. https://doi.org/10.1007/978-3-319-67056-0_18
Salloum, Said A, Al-Emran, M., Habes, M., Alghizzawi, M., Ghani, M. A., & Shaalan, K. (2019). Understanding the Impact of Social Media Practices on E-Learning Systems Acceptance. In International Conference on Advanced Intelligent Systems and Informatics (pp. 360–369). Springer.
Salloum, Said A, Al-Emran, M., Shaalan, K., & Tarhini, A. (2018). Factors affecting the E-learning acceptance: A case study from UAE. Education and Information Technologies, 1–22.
San, A. N. C., & Yee, C. J. (2013). The modified technology acceptance model for private clinical physicians: A case study in Malaysia, Penang. International Journal of Academic Research in Business and Social Sciences, 3(2), 380.
Shannak, R., Masa’deh, R., Al-Zu’bi, Z., Obeidat, B., Alshurideh, M., & Altamony, H. (2012). A theoretical perspective on the relationship between knowledge management systems, customer knowledge management, and firm competitive advantage. European Journal of Social Sciences, 32(4), 520–532.
Solano-Lorente, M., Martínez-Caro, E., & Cegarra-Navarro, J. G. (2013). Designing a Framework to Develop eLoyalty for Online Healthcare Services. Electronic Journal of Knowledge Management, 11(1).
Strudwick, G. (2015). Predicting nurses’ use of healthcare technology using the technology acceptance model: an integrative review. CIN: Computers, Informatics, Nursing, 33(5), 189–198.
Teeroovengadum, V., Heeraman, N., & Jugurnath, B. (2017). Examining the antecedents of ICT adoption in education using an extended technology acceptance model (TAM). International Journal of Education and Development Using ICT, 13(3).
Tongco, M. D. C. (2007). Purposive sampling as a tool for informant selection. Ethnobotany Research and Applications, 5, 147–158.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328–376.
Who, X. (2011). Extending TAM: success factors of mobile marketing’. American Academic & Scholarly Research Journal, 1(1), 1–5.
Zare, S. (2017). Identifying and Prioritizing Supply Chain Management Strategic Factors Based on Integrated BSC-AHP Approach.
Zu’bi, Z., Al-Lozi, M., Dahiyat, S., Alshurideh, M., & Al Majali, A. (2012). Examining the effects of quality management practices on product variety. European Journal of Economics, Finance and Administrative Sciences, 51(1), 123–139.
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