How to cite this paper
Mbaidin, H., Sbaee, N., AlMubydeen, I., Chindo, U & Alomari, K. (2024). The role of AI integration and governance standards: Enhancing financial reporting quality in Islamic banking.Decision Science Letters , 13(1), 83-98.
Refrences
Abduljabbar, R., Dia, H., Liyanage, S., & Bagloee, S. A. (2019). Applications of Artificial Intelligence in Transport: An Overview. Sustainability, 11(1), 189. https://doi.org/10.3390/su11010189
Abhishek, N., Rahiman, H. U., Kulal, A., Kambali, U., Lobo, V. S., Bindu, D., & Divyashree, M. S. (2023). Impact of XBRL Technology on Quality of Financial data: Mediating Through Various Reporting Aspects in India. Artificial Intelligence (AI) and Finance, 488, 228–239. https://doi.org/10.1007/978-3-031-39158-3_21
Ahmad, A., Abusaimeh, H., Rababah, A., Alqsass, M., Al-Olima, N., & Hamdan, M. (2024). Assessment of effects in advances of accounting technologies on quality financial reports in Jordanian public sector. Uncertain Supply Chain Management, 12(1), 133–142. https://doi.org/10.5267/j.uscm.2023.10.011
Ahmet (2023). An Assessment on the Problems and Possible Solutions of Artificial Intelligence Tools and Techniques on Execution, Monitoring and Reporting of Impact Investments. Girişimcilik İnovasyon Ve Pazarlama Araştırmaları Dergisi, 7(13), 1–24. https://doi.org/10.31006/gipad.1263598
Al Tarawneh, E., Alqaraleh, M. H., Ali, B., & Bani Atta, A. (2023). The Impact of the Efficiency and Effectiveness of ElectronicAccounting Information Systems on the Quality of Accounting Information. Information Sciences Letters, 12(3), 1685-1692. doi:http://dx.doi.org/10.18576/isl/120352
Alawadhi, S. A., Zowayed, A., Abdulla, H., Khder, M. A., & Ali, B. J. (2022). Impact of Artificial Intelligence on Information Security in Business. Paper presented at the 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Al-Baity (2023). The Artificial Intelligence Revolution in Digital Finance in Saudi Arabia: A Comprehensive Review and Proposed Framework. Sustainability, 15(18), 13725. https://doi.org/10.3390/su151813725
Al-Dmour, A., Abbod, M., & Al-Dmour, R. (2018). The impact of the implementations of the Sysrust’s framework upon the quality of financial reporting: structural equation modelling approach. Journal of Accounting and Management Information Systems, 17(1), 69–99. https://doi.org/10.24818/jamis.2018.01004
Al-Fakeh, F., Padlee, S., Omar, K., & Salleh, H. (2020). The moderating effects of organizational commitment on the relationship between employee satisfaction and employee performance in Jordanian Islamic banks. Management Science Letters, 10(14), 3347–3356. https://doi.org/10.5267/j.msl.2020.6.002
Al-Hosaini, F. F., Ali, B. J., Baadhem, A. M., Jawabreh, O., Atta, A. A. B., & Ali, A. (2023). The Impact of the Balanced Scorecard (BSC) Non-Financial Perspectives on the Financial Performance of Private Universities. Information Sciences Letters, 12(9), 2903-2913.
Ali, A., Ali, B. J., & Fatima, N. (2023). Pre and Post-COVID-19 Financial Performance of Oil and Gas Companies: An Absolute and Relational Study of Financial Variables. International Journal of Sustainable Development and Planning, 18(1), 69-77. doi:doi.org/10.18280/ijsdp.180107
AlLouzi, A. S., & Alomari, K. M. (2023). Adequate legal rules in settling metaverse disputes: Hybrid legal framework for metaverse dispute resolution (HLFMDR). International Journal of Data and Network Science, 7(4), 1627–1642. https://doi.org/10.5267/j.ijdns.2023.8.001
Almaiah, M. A., Alfaisal, R., Salloum, S. A., Hajjej, F., Shishakly, R., Lutfi, A., Alrawad, M., Al Mulhem, A., Alkhdour, T., & Al-Maroof, R. S. (2022). Measuring Institutions’ Adoption of Artificial Intelligence Applications in Online Learning Environments: Integrating the Innovation Diffusion Theory with Technology Adoption Rate. Electronics, 11(20), 3291. https://doi.org/10.3390/electronics11203291
Almaiah, M. A., Alfaisal, R., Salloum, S. A., Hajjej, F., Thabit, S., El-Qirem, F. A., Lutfi, A., Alrawad, M., Al Mulhem, A., Alkhdour, T., Awad, A. B., & Al-Maroof, R. S. (2022). Examining the Impact of Artificial Intelligence and Social and Computer Anxiety in E-Learning Settings: Students’ Perceptions at the University Level. Electronics, 11(22), 3662. https://doi.org/10.3390/electronics11223662
Almeida, P. G. R. de, dos Santos, C. D., & Farias, J. S. (2021). Artificial Intelligence Regulation: A framework for governance. Ethics and Information Technology, 23(3), 505–525. https://doi.org/10.1007/s10676-021-09593-z
Alomari, K. M. (2023). Predicting the intention to use social media among medical students in the United Arab Emirates: A machine learning approach. South Eastern European Journal of Public Health, Special Volume No. 5(2022). https://doi.org/10.56801/seejph.vi.308
Alqaraleh, M. H., Almari, M. O. S., Ali, B., & Oudat, M. S. (2022). The mediating role of organizational culture on the relationship between information technology and internal audit effectiveness. Corporate Governance and Organizational Behavior Review, 6(1), 8-18. doi:https://doi.org/10.22495/cgobrv6i1p1
Alqudah, H., Lutfi, A., abualoush, S. h., Al Qudah, M. Z., Alshira’h, A. F., Almaiah, M. A., Alrawad, M., & tork, M. (2023). The impact of empowering internal auditors on the quality of electronic internal audits: A case of Jordanian listed services companies. 2667-0968, 3(2), 100183. https://doi.org/10.1016/j.jjimei.2023.100183
Alrabei, A. M., Al-Othman, L. N., Al-Dalabih, F., Taber, T. A., & Ali, B. (2022). The Impact of Mobile Payment on the Financial Inclusion Rates. Information Sciences Letters, 11(4), 1033-1044. doi:10.18576/isl/110404
Alrfai, M. M., Alqudah, H., Lutfi, A., Al-Kofahi, M., Alrawad, M., & Almaiah, M. A. (2023). The influence of artificial intelligence on the AISs efficiency: Moderating effect of the cyber security. Cogent Social Sciences, 9(2), Article 2243719. https://doi.org/10.1080/23311886.2023.2243719
Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., Chatila, R., & Herrera, F. (2020). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58, 82–115. https://doi.org/10.1016/j.inffus.2019.12.012
Atkinson, K., Bench-Capon, T., & Bollegala, D. (2020). Explanation in AI and law: Past, present and future. Artificial Intelligence, 289, 103387. https://doi.org/10.1016/j.artint.2020.103387
Binsaddig, R., Ali, A., Al-Alkawi, T., & Ali, B. J. (2023). Inventory Turnover, Accounts Receivable Turnover, and Manufacturing Profitability: An Empirical Study. International Journal of Economics and Finance Studies, 15(1), 1-16.
Bora, I., Duan, H. K., Vasarhelyi, M. A., Zhang, C [Chanyuan], & Dai, J. (2021). The Transformation of Government Accountability and Reporting. Journal of Emerging Technologies in Accounting, 18(2), 1–21. https://doi.org/10.2308/jeta-10780
Bredt, S. (2019). Artificial Intelligence (AI) in the Financial Sector-Potential and Public Strategies. Frontiers in Artificial Intelligence, 2, 16. https://doi.org/10.3389/frai.2019.00016
Brooks, C., Gherhes, C., & Vorley, T. (2020). Artificial intelligence in the legal sector: pressures and challenges of transformation. Cambridge Journal of Regions, Economy and Society, 13(1), 135–152. https://doi.org/10.1093/cjres/rsz026
Brynjolfsson, E., & McAfee, A. (2017). Artificial intelligence, for real.
Chandra, V., & Hareendran, A. (2021). Artificial intelligence: Principles and applications (Second edition). PHI Learning Private Limited.
Chatterjee, S. (2020). Ai strategy of India: Policy framework, adoption challenges and actions for government. Transforming Government: People, Process and Policy, 14(5), 757–775. https://doi.org/10.1108/TG-05-2019-0031
Chen, Chen, & Lin (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/access.2020.2988510
Chong, F. H. L. (2021). Enhancing trust through digital Islamic finance and blockchain technology. Qualitative Research in Financial Markets, 13(3), 328–341. https://doi.org/10.1108/QRFM-05-2020-0076
Cugurullo, F., & Acheampong, R. A. (2023). Fear of AI: an inquiry into the adoption of autonomous cars in spite of fear, and a theoretical framework for the study of artificial intelligence technology acceptance. AI & SOCIETY. Advance online publication. https://doi.org/10.1007/s00146-022-01598-6
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review. http://blockqai.com/wp-content/uploads/2021/01/analytics-hbr-ai-for-the-real-world.pdf
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., . . . Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Elaprolu, S., Chola, C., Chandradhar, V., & Rodriguez, R. V [Raul V.]. (2024). Applications of Artificial Intelligence on Customer Experience and Service Quality of the Banking Sector. In H. K., R. V. Rodriguez, U. Subramaniam, & V. E. Balas (Eds.), Artificial intelligence and knowledge processing: Improved decision-making and prediction (First edition, pp. 290–301). CRC Press. https://doi.org/10.1201/9781003328414-25
Fedorko, I., Bačik, R., & Gavurova, B. (2021). Effort expectancy and social influence factors as main determinants of performance expectancy using electronic banking. Banks and Bank Systems, 16(2), 27–37. https://doi.org/10.21511/bbs.16(2).2021.03
Felzmann, H., Fosch-Villaronga, E., Lutz, C., & Tamò-Larrieux, A. (2020). Towards Transparency by Design for Artificial Intelligence. Science and Engineering Ethics, 26(6), 3333–3361. https://doi.org/10.1007/s11948-020-00276-4
Foud Ali, A., Zowayed, S. I., Showaiter, D. A., Khder, M. A., & Ali, B. J. (2022). Artificial intelligence's potential on Bahrain's labour market. Paper presented at the 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Haenlein, M., & Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (Second edition). Sage.
Hassan, W. M., Aldoseri, D. T., Saeed, M. M., Khder, M. A., & Ali, B. J. (2022). Utilization of Artificial Intelligence and Robotics Technology in Business. Paper presented at the 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Hayek, A. F., Oudat, M. S., Ali, B. J., Al-Alkawi, T., & El Haija, M. F. A. (2023). Corporate governance and cost of equity: An empirical investigation of the United Arab Emirates stock market. Corporate & Business Strategy Review, 4(4), 24–31.
Hisham O. Mbaidin (2021). The Impact of ICT Critical Success Factors in Strategic planning: an Applied Study in Jordanian Government Agencies. Indian Journal of Economics and Busines, 20(2). https://doi.org/10.5281/ZENODO.5409341
Huang, B., Huan, Y., Da Xu, L., Zheng, L., & Zou, Z. (2019). Automated trading systems statistical and machine learning methods and hardware implementation: A survey. Enterprise Information Systems, 13(1), 132–144. https://doi.org/10.1080/17517575.2018.1493145
Isaac, O., Abdullah, Z., Ramayah, T., & Mutahar, A. M. (2017). Internet usage, user satisfaction, task-technology fit, and performance impact among public sector employees in Yemen. The International Journal of Information and Learning Technology, 34(3), 210–241. https://doi.org/10.1108/IJILT-11-2016-0051
Iyer, L. S. (2021). AI enabled applications towards intelligent transportation. 2666-691X, 5, 100083. https://doi.org/10.1016/j.treng.2021.100083
Jan, A. A., Lai, F.‑W., Asif, M., Akhtar, S., & Ullah, S. (2023). Embedding sustainability into bank strategy: Implications for sustainable development goals reporting. International Journal of Sustainable Development & World Ecology, 30(3), 229–243. https://doi.org/10.1080/13504509.2022.2134230
Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2022). Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study. Journal of Industrial Integration and Management, 07(01), 83–111. https://doi.org/10.1142/S2424862221300040
Jawabreh, O., Qaddhat, R., Jahmani, A., Al Najdawi, B., Ali, B., & Ali, A. (2023). Electronic Learning Platforms and Their Impact on Education Quality at Faculties of Tourism and Hospitality during Corona Pandemic. Applied Mathematics & Information Sciences (AMIS), 17(1), 153-160. doi:10.18576/amis/170116
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y [Yilong], Dong, Q., Shen, H., & Wang, Y [Yongjun] (2017). Artificial intelligence in healthcare: Past, present and future. Stroke and Vascular Neurology, 2(4), 230–243. https://doi.org/10.1136/svn-2017-000101
Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25. https://doi.org/10.1016/j.bushor.2018.08.004
Khan. (2019). AI Applications in the Islamic Finance Industry. In Global Islamic Finance Report 2019. https://www.researchgate.net/publication/336856090_AI_Applications_in_the_Islamic_Finance_Industry
KILIÇ, A. T. (2023). The Emergence of Islamic Fintech and Its Applications. International Journal of Islamic Economics and Finance Studies, 9(2), 212–236. https://doi.org/10.54427/ijisef.1328087
Lee, J.‑C., & Chen, X. (2022). Exploring users’ adoption intentions in the evolution of artificial intelligence mobile banking applications: the intelligent and anthropomorphic perspectives. International Journal of Bank Marketing, 40(4), 631–658. https://doi.org/10.1108/IJBM-08-2021-0394
Liu, J., Kong, X., Xia, F., Bai, X., Wang, L., Qing, Q., & Lee, I. (2018). Artificial Intelligence in the 21st Century. IEEE Access, 6, 34403–34421. https://doi.org/10.1109/access.2018.2819688
Liu, Q., Qu, M., Sun, L., & Wang, H. (2021). Accuracy of ultrasonic artificial intelligence in diagnosing benign and malignant breast diseases: A protocol for systematic review and meta-analysis. Medicine, 100(50), e28289. https://doi.org/10.1097/MD.0000000000028289
Lutfi, A., & Alqudah, H. (2023). The Influence of Technological Factors on the Computer-Assisted Audit Tools and Techniques Usage during COVID-19. Sustainability, 15(9), 7704. https://doi.org/10.3390/su15097704
Ma, L., & Sun, B. (2020). Machine learning and AI in marketing – Connecting computing power to human insights. International Journal of Research in Marketing, 37(3), 481–504. https://doi.org/10.1016/j.ijresmar.2020.04.005
Mbaidin, H. (2024). E-learning’s influence on organizational excellence in UAE universities: Exploring the moderat-ing role of demographic variables. International Journal of Data and Network Science, 8(1), 609–616. https://doi.org/10.5267/j.ijdns.2023.8.024
Mbaidin, H. O., Alomari, K. M., AlMubydeen, I. O., & Sbaee, N. Q. (2024). The critical success factors (CSF) of blockchain technology effecting excel performance of banking sector: Case of UAE Islamic Banks. International Journal of Data and Network Science, 8(1), 289–306. https://doi.org/10.5267/j.ijdns.2023.9.024
Mbaidin, H. O., Alsmairat, M. A. K., & Al-Adaileh, R. (2023). Blockchain adoption for sustainable development in developing countries: Challenges and opportunities in the banking sector. International Journal of Information Management Data Insights, 3(2), 100199. https://doi.org/10.1016/j.jjimei.2023.100199
Mhlanga, D. (2020). Industry 4.0 in Finance: The Impact of Artificial Intelligence (AI) on Digital Financial Inclusion. International Journal of Financial Studies, 8(3), 45. https://doi.org/10.3390/ijfs8030045
Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. 0378-7206, 58(3), 103434. https://doi.org/10.1016/j.im.2021.103434
Mowbray, A., Chung, P., & Greenleaf, G. (2020). Utilising AI in the legal assistance sector—Testing a role for legal information institutes. Computer Law & Security Review, 38, 105407. https://doi.org/10.1016/j.clsr.2020.105407
Mukhlisin, M. (2021). Level of Maqāsid ul-Shari’āh’s in financial reporting standards for Islamic financial institutions. Journal of Islamic Accounting and Business Research, 12(1), 60–77. https://doi.org/10.1108/JIABR-03-2020-0090
Murugesan, R., & Manohar, V. (2019). AI in Financial Sector – A Driver to Financial Literacy. Shanlax International Journal of Commerce, 7(3), 66–70. https://doi.org/10.34293/commerce.v7i3.477
Nawaiseh, K., Abd-Alkareem, M., Alawamleh, H. A., Abbas, K. M., & Orabi, T. G. A. (2021). Dimensions of corporate governance and organizational learning: An empirical study. Journal of Management Information and Decision Sciences, 24(5), 1-11.
Park, J. (2023). Artificial intelligence–assisted writing: A continuously evolving issue. Science Editing, 10(2), 115–118. https://doi.org/10.6087/kcse.318
Rabbani, Khan, & Atif (2023). Machine learning-based P2P lending Islamic Fintech model for small and medium enterprises in Bahrain. International Journal of Business Innovation and Research, 30(4), 565–579.
Rabbani, M. R. (2023). Fintech innovations, scope, challenges, and implications in Islamic Finance: A systematic analysis. International Journal of Computing and Digital Systems, 13(1). https://doi.org/10.12785/ijcds/130147
Rabbani, M. R., Bashar, A., Nawaz, N., Karim, S., Ali, M. A. M., Rahiman, H. U., & Alam, M. S. (2021). Exploring the Role of Islamic Fintech in Combating the Aftershocks of COVID-19: The Open Social Innovation of the Islamic Financial System. 2199-8531, 7(2), 136. https://doi.org/10.3390/joitmc7020136
Rabbani, M. R., Khan, S., & Thalassinos, E. I. (2020). FinTech, blockchain and Islamic finance : an extensive literature review. International Journal of Economics and Business Administration, 8(2), 65–86. https://www.um.edu.mt/library/oar/handle/123456789/54860
Rahim, S. R. M., Mohamad, Z. Z., Abu Bakar, J., Mohsin, F. H., & Isa, N. M. (2018). Artificial Intelligence, Smart Contract and Islamic Finance. Asian Social Science, 14(2), 145. https://doi.org/10.5539/ass.v14n2p145
Ryll, L., Barton, M. E., Zhang, B. Z., McWaters, R. J., Schizas, E., Hao, R., Bear, K., Preziuso, M., Seger, E., Wardrop, R., Rau, P. R., Debata, P., Rowan, P., Adams, N., Gray, M., & Yerolemou, N. (2020). Transforming Paradigms: A Global AI in Financial Services Survey. https://doi.org/10.2139/ssrn.3532038
Saleh, M., Jawabreh, O., Jaber, J., Garaibeh, A., Ali, B., & Ali, A. (2023). The Impact of Financial Determinants On Bank Deposits Using ARDL Model. Journal of Statistics Applications & Probability, 12(2), 441-452. doi:http://dx.doi.org/10.18576/jsap/120210
Salhab, H., Allahham, M., Abu-AlSondos, I., Frangieh, R., Alkhwaldi, A., & Ali, B. (2023). Inventory competition, artificial intelligence, and quality improvement decisions in supply chains with digital marketing. Uncertain Supply Chain Management, 11(4), 1915-1924.
Sarker, I. H. (2022). Ai-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems. SN Computer Science, 3(2), 158. https://doi.org/10.1007/s42979-022-01043-x
Savaş, S., & Karataş, S. (2022). Cyber governance studies in ensuring cybersecurity: An overview of cybersecurity governance. International Cybersecurity Law Review, 3(1), 7–34. https://doi.org/10.1365/s43439-021-00045-4
Saxena, R. (2022). A Conceptual Framework for Assessing the Application of Artificial Intelligence for Financial Reporting. Universal Journal of Accounting and Finance, 10(5), 897–911. https://doi.org/10.13189/ujaf.2022.100502
Shamdi, W., Lai, D., Aziz, A. A., & Anshari, M. (2022). Artificial intelligence development in Islamic System of Governance: A literature review. Contemporary Islam, 16(2-3), 321–334. https://doi.org/10.1007/s11562-022-00504-7
Shan, R., Xiao, X., Dong, G., Zhang, Z., Wen, Q., & Ali, B. (2022). The influence of accounting computer information processing technology on enterprise internal control under panel data simultaneous equation. Applied Mathematics and Nonlinear Sciences, aop(aop), 1–9. doi:10.2478/amns.2022.2.0157
Shniekat, N., AL_Abdallat, W., Al-Hussein, M., & Ali, B. (2022). Influence of Management Information System Dimensions on Institutional Performance. Information Sciences Letters, 11(5), 435-1443. doi:10.18576/isl/110512
Singh, P., Elmi, Z., Lau, Y., Borowska-Stefańska, M., Wiśniewski, S., & Dulebenets, M. A. (2022). Blockchain and AI technology convergence: Applications in transportation systems. Vehicular Communications, 38, 100521. https://doi.org/10.1016/j.vehcom.2022.100521
Talamo, A., Marocco, S., & Tricol, C. (2021). “The Flow in the Funnel”: Modeling Organizational and Individual Decision-Making for Designing Financial AI-Based Systems. Frontiers in Psychology, 12, 697101. https://doi.org/10.3389/fpsyg.2021.697101
Thuneibat, N. S. M., Ali, B., Alqaraleh, M. H., & Thneibat, H. (2022). The Mediating Role of Innovation On the Relationship Between Information Technologies and Reducing Tax Evasion. Information Sciences Letters, 11(2), 13-23. doi:10.18576/isl/110505
Väänänen, A., Haataja, K., Vehviläinen-Julkunen, K., & Toivanen, P. (2021). Ai in healthcare: A narrative review. F1000Research, 10, 6. https://doi.org/10.12688/f1000research.26997.2
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425. https://doi.org/10.2307/30036540
World Bank. (2017). Global report on Islamic finance: Islamic finance : a catalyst for shared prosperity? World Bank Group; Islamic Development Bank. https://doi.org/10.1596/978-1-4648-0926-2
Wuest, T., Kusiak, A., Dai, T., & Tayur, S. R. (2020). Impact of COVID-19 on Manufacturing and Supply Networks — The Case for AI-Inspired Digital Transformation. https://doi.org/10.2139/ssrn.3593540
Xu, Lu, & Li (2021). Embedding Blockchain Technology Into IoT for Security: A Survey. IEEE Internet of Things Journal, 8(13), 10452–10473. https://doi.org/10.1109/jiot.2021.3060508
Zeng, X., Li, S., & Yousaf, Z. (2022). Artificial Intelligence Adoption and Digital Innovation: How Does Digital Resilience Act as a Mediator and Training Protocols as a Moderator? Sustainability, 14(14), 8286. https://doi.org/10.3390/su14148286
Zhang, C [Caiming], & Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 23, 100224. https://doi.org/10.1016/j.jii.2021.100224
Zhang, Y., Xiong, F., Xie, Y., Fan, X., & Gu, H. (2020). The Impact of Artificial Intelligence and Blockchain on the Accounting Profession. IEEE Access, 8, 110461–110477. https://doi.org/10.1109/access.2020.3000505
Abhishek, N., Rahiman, H. U., Kulal, A., Kambali, U., Lobo, V. S., Bindu, D., & Divyashree, M. S. (2023). Impact of XBRL Technology on Quality of Financial data: Mediating Through Various Reporting Aspects in India. Artificial Intelligence (AI) and Finance, 488, 228–239. https://doi.org/10.1007/978-3-031-39158-3_21
Ahmad, A., Abusaimeh, H., Rababah, A., Alqsass, M., Al-Olima, N., & Hamdan, M. (2024). Assessment of effects in advances of accounting technologies on quality financial reports in Jordanian public sector. Uncertain Supply Chain Management, 12(1), 133–142. https://doi.org/10.5267/j.uscm.2023.10.011
Ahmet (2023). An Assessment on the Problems and Possible Solutions of Artificial Intelligence Tools and Techniques on Execution, Monitoring and Reporting of Impact Investments. Girişimcilik İnovasyon Ve Pazarlama Araştırmaları Dergisi, 7(13), 1–24. https://doi.org/10.31006/gipad.1263598
Al Tarawneh, E., Alqaraleh, M. H., Ali, B., & Bani Atta, A. (2023). The Impact of the Efficiency and Effectiveness of ElectronicAccounting Information Systems on the Quality of Accounting Information. Information Sciences Letters, 12(3), 1685-1692. doi:http://dx.doi.org/10.18576/isl/120352
Alawadhi, S. A., Zowayed, A., Abdulla, H., Khder, M. A., & Ali, B. J. (2022). Impact of Artificial Intelligence on Information Security in Business. Paper presented at the 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Al-Baity (2023). The Artificial Intelligence Revolution in Digital Finance in Saudi Arabia: A Comprehensive Review and Proposed Framework. Sustainability, 15(18), 13725. https://doi.org/10.3390/su151813725
Al-Dmour, A., Abbod, M., & Al-Dmour, R. (2018). The impact of the implementations of the Sysrust’s framework upon the quality of financial reporting: structural equation modelling approach. Journal of Accounting and Management Information Systems, 17(1), 69–99. https://doi.org/10.24818/jamis.2018.01004
Al-Fakeh, F., Padlee, S., Omar, K., & Salleh, H. (2020). The moderating effects of organizational commitment on the relationship between employee satisfaction and employee performance in Jordanian Islamic banks. Management Science Letters, 10(14), 3347–3356. https://doi.org/10.5267/j.msl.2020.6.002
Al-Hosaini, F. F., Ali, B. J., Baadhem, A. M., Jawabreh, O., Atta, A. A. B., & Ali, A. (2023). The Impact of the Balanced Scorecard (BSC) Non-Financial Perspectives on the Financial Performance of Private Universities. Information Sciences Letters, 12(9), 2903-2913.
Ali, A., Ali, B. J., & Fatima, N. (2023). Pre and Post-COVID-19 Financial Performance of Oil and Gas Companies: An Absolute and Relational Study of Financial Variables. International Journal of Sustainable Development and Planning, 18(1), 69-77. doi:doi.org/10.18280/ijsdp.180107
AlLouzi, A. S., & Alomari, K. M. (2023). Adequate legal rules in settling metaverse disputes: Hybrid legal framework for metaverse dispute resolution (HLFMDR). International Journal of Data and Network Science, 7(4), 1627–1642. https://doi.org/10.5267/j.ijdns.2023.8.001
Almaiah, M. A., Alfaisal, R., Salloum, S. A., Hajjej, F., Shishakly, R., Lutfi, A., Alrawad, M., Al Mulhem, A., Alkhdour, T., & Al-Maroof, R. S. (2022). Measuring Institutions’ Adoption of Artificial Intelligence Applications in Online Learning Environments: Integrating the Innovation Diffusion Theory with Technology Adoption Rate. Electronics, 11(20), 3291. https://doi.org/10.3390/electronics11203291
Almaiah, M. A., Alfaisal, R., Salloum, S. A., Hajjej, F., Thabit, S., El-Qirem, F. A., Lutfi, A., Alrawad, M., Al Mulhem, A., Alkhdour, T., Awad, A. B., & Al-Maroof, R. S. (2022). Examining the Impact of Artificial Intelligence and Social and Computer Anxiety in E-Learning Settings: Students’ Perceptions at the University Level. Electronics, 11(22), 3662. https://doi.org/10.3390/electronics11223662
Almeida, P. G. R. de, dos Santos, C. D., & Farias, J. S. (2021). Artificial Intelligence Regulation: A framework for governance. Ethics and Information Technology, 23(3), 505–525. https://doi.org/10.1007/s10676-021-09593-z
Alomari, K. M. (2023). Predicting the intention to use social media among medical students in the United Arab Emirates: A machine learning approach. South Eastern European Journal of Public Health, Special Volume No. 5(2022). https://doi.org/10.56801/seejph.vi.308
Alqaraleh, M. H., Almari, M. O. S., Ali, B., & Oudat, M. S. (2022). The mediating role of organizational culture on the relationship between information technology and internal audit effectiveness. Corporate Governance and Organizational Behavior Review, 6(1), 8-18. doi:https://doi.org/10.22495/cgobrv6i1p1
Alqudah, H., Lutfi, A., abualoush, S. h., Al Qudah, M. Z., Alshira’h, A. F., Almaiah, M. A., Alrawad, M., & tork, M. (2023). The impact of empowering internal auditors on the quality of electronic internal audits: A case of Jordanian listed services companies. 2667-0968, 3(2), 100183. https://doi.org/10.1016/j.jjimei.2023.100183
Alrabei, A. M., Al-Othman, L. N., Al-Dalabih, F., Taber, T. A., & Ali, B. (2022). The Impact of Mobile Payment on the Financial Inclusion Rates. Information Sciences Letters, 11(4), 1033-1044. doi:10.18576/isl/110404
Alrfai, M. M., Alqudah, H., Lutfi, A., Al-Kofahi, M., Alrawad, M., & Almaiah, M. A. (2023). The influence of artificial intelligence on the AISs efficiency: Moderating effect of the cyber security. Cogent Social Sciences, 9(2), Article 2243719. https://doi.org/10.1080/23311886.2023.2243719
Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., Chatila, R., & Herrera, F. (2020). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Information Fusion, 58, 82–115. https://doi.org/10.1016/j.inffus.2019.12.012
Atkinson, K., Bench-Capon, T., & Bollegala, D. (2020). Explanation in AI and law: Past, present and future. Artificial Intelligence, 289, 103387. https://doi.org/10.1016/j.artint.2020.103387
Binsaddig, R., Ali, A., Al-Alkawi, T., & Ali, B. J. (2023). Inventory Turnover, Accounts Receivable Turnover, and Manufacturing Profitability: An Empirical Study. International Journal of Economics and Finance Studies, 15(1), 1-16.
Bora, I., Duan, H. K., Vasarhelyi, M. A., Zhang, C [Chanyuan], & Dai, J. (2021). The Transformation of Government Accountability and Reporting. Journal of Emerging Technologies in Accounting, 18(2), 1–21. https://doi.org/10.2308/jeta-10780
Bredt, S. (2019). Artificial Intelligence (AI) in the Financial Sector-Potential and Public Strategies. Frontiers in Artificial Intelligence, 2, 16. https://doi.org/10.3389/frai.2019.00016
Brooks, C., Gherhes, C., & Vorley, T. (2020). Artificial intelligence in the legal sector: pressures and challenges of transformation. Cambridge Journal of Regions, Economy and Society, 13(1), 135–152. https://doi.org/10.1093/cjres/rsz026
Brynjolfsson, E., & McAfee, A. (2017). Artificial intelligence, for real.
Chandra, V., & Hareendran, A. (2021). Artificial intelligence: Principles and applications (Second edition). PHI Learning Private Limited.
Chatterjee, S. (2020). Ai strategy of India: Policy framework, adoption challenges and actions for government. Transforming Government: People, Process and Policy, 14(5), 757–775. https://doi.org/10.1108/TG-05-2019-0031
Chen, Chen, & Lin (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/access.2020.2988510
Chong, F. H. L. (2021). Enhancing trust through digital Islamic finance and blockchain technology. Qualitative Research in Financial Markets, 13(3), 328–341. https://doi.org/10.1108/QRFM-05-2020-0076
Cugurullo, F., & Acheampong, R. A. (2023). Fear of AI: an inquiry into the adoption of autonomous cars in spite of fear, and a theoretical framework for the study of artificial intelligence technology acceptance. AI & SOCIETY. Advance online publication. https://doi.org/10.1007/s00146-022-01598-6
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review. http://blockqai.com/wp-content/uploads/2021/01/analytics-hbr-ai-for-the-real-world.pdf
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., . . . Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Elaprolu, S., Chola, C., Chandradhar, V., & Rodriguez, R. V [Raul V.]. (2024). Applications of Artificial Intelligence on Customer Experience and Service Quality of the Banking Sector. In H. K., R. V. Rodriguez, U. Subramaniam, & V. E. Balas (Eds.), Artificial intelligence and knowledge processing: Improved decision-making and prediction (First edition, pp. 290–301). CRC Press. https://doi.org/10.1201/9781003328414-25
Fedorko, I., Bačik, R., & Gavurova, B. (2021). Effort expectancy and social influence factors as main determinants of performance expectancy using electronic banking. Banks and Bank Systems, 16(2), 27–37. https://doi.org/10.21511/bbs.16(2).2021.03
Felzmann, H., Fosch-Villaronga, E., Lutz, C., & Tamò-Larrieux, A. (2020). Towards Transparency by Design for Artificial Intelligence. Science and Engineering Ethics, 26(6), 3333–3361. https://doi.org/10.1007/s11948-020-00276-4
Foud Ali, A., Zowayed, S. I., Showaiter, D. A., Khder, M. A., & Ali, B. J. (2022). Artificial intelligence's potential on Bahrain's labour market. Paper presented at the 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Haenlein, M., & Kaplan, A. (2019). A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence. California Management Review, 61(4), 5–14. https://doi.org/10.1177/0008125619864925
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (Second edition). Sage.
Hassan, W. M., Aldoseri, D. T., Saeed, M. M., Khder, M. A., & Ali, B. J. (2022). Utilization of Artificial Intelligence and Robotics Technology in Business. Paper presented at the 2022 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS).
Hayek, A. F., Oudat, M. S., Ali, B. J., Al-Alkawi, T., & El Haija, M. F. A. (2023). Corporate governance and cost of equity: An empirical investigation of the United Arab Emirates stock market. Corporate & Business Strategy Review, 4(4), 24–31.
Hisham O. Mbaidin (2021). The Impact of ICT Critical Success Factors in Strategic planning: an Applied Study in Jordanian Government Agencies. Indian Journal of Economics and Busines, 20(2). https://doi.org/10.5281/ZENODO.5409341
Huang, B., Huan, Y., Da Xu, L., Zheng, L., & Zou, Z. (2019). Automated trading systems statistical and machine learning methods and hardware implementation: A survey. Enterprise Information Systems, 13(1), 132–144. https://doi.org/10.1080/17517575.2018.1493145
Isaac, O., Abdullah, Z., Ramayah, T., & Mutahar, A. M. (2017). Internet usage, user satisfaction, task-technology fit, and performance impact among public sector employees in Yemen. The International Journal of Information and Learning Technology, 34(3), 210–241. https://doi.org/10.1108/IJILT-11-2016-0051
Iyer, L. S. (2021). AI enabled applications towards intelligent transportation. 2666-691X, 5, 100083. https://doi.org/10.1016/j.treng.2021.100083
Jan, A. A., Lai, F.‑W., Asif, M., Akhtar, S., & Ullah, S. (2023). Embedding sustainability into bank strategy: Implications for sustainable development goals reporting. International Journal of Sustainable Development & World Ecology, 30(3), 229–243. https://doi.org/10.1080/13504509.2022.2134230
Javaid, M., Haleem, A., Singh, R. P., & Suman, R. (2022). Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study. Journal of Industrial Integration and Management, 07(01), 83–111. https://doi.org/10.1142/S2424862221300040
Jawabreh, O., Qaddhat, R., Jahmani, A., Al Najdawi, B., Ali, B., & Ali, A. (2023). Electronic Learning Platforms and Their Impact on Education Quality at Faculties of Tourism and Hospitality during Corona Pandemic. Applied Mathematics & Information Sciences (AMIS), 17(1), 153-160. doi:10.18576/amis/170116
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., Wang, Y [Yilong], Dong, Q., Shen, H., & Wang, Y [Yongjun] (2017). Artificial intelligence in healthcare: Past, present and future. Stroke and Vascular Neurology, 2(4), 230–243. https://doi.org/10.1136/svn-2017-000101
Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25. https://doi.org/10.1016/j.bushor.2018.08.004
Khan. (2019). AI Applications in the Islamic Finance Industry. In Global Islamic Finance Report 2019. https://www.researchgate.net/publication/336856090_AI_Applications_in_the_Islamic_Finance_Industry
KILIÇ, A. T. (2023). The Emergence of Islamic Fintech and Its Applications. International Journal of Islamic Economics and Finance Studies, 9(2), 212–236. https://doi.org/10.54427/ijisef.1328087
Lee, J.‑C., & Chen, X. (2022). Exploring users’ adoption intentions in the evolution of artificial intelligence mobile banking applications: the intelligent and anthropomorphic perspectives. International Journal of Bank Marketing, 40(4), 631–658. https://doi.org/10.1108/IJBM-08-2021-0394
Liu, J., Kong, X., Xia, F., Bai, X., Wang, L., Qing, Q., & Lee, I. (2018). Artificial Intelligence in the 21st Century. IEEE Access, 6, 34403–34421. https://doi.org/10.1109/access.2018.2819688
Liu, Q., Qu, M., Sun, L., & Wang, H. (2021). Accuracy of ultrasonic artificial intelligence in diagnosing benign and malignant breast diseases: A protocol for systematic review and meta-analysis. Medicine, 100(50), e28289. https://doi.org/10.1097/MD.0000000000028289
Lutfi, A., & Alqudah, H. (2023). The Influence of Technological Factors on the Computer-Assisted Audit Tools and Techniques Usage during COVID-19. Sustainability, 15(9), 7704. https://doi.org/10.3390/su15097704
Ma, L., & Sun, B. (2020). Machine learning and AI in marketing – Connecting computing power to human insights. International Journal of Research in Marketing, 37(3), 481–504. https://doi.org/10.1016/j.ijresmar.2020.04.005
Mbaidin, H. (2024). E-learning’s influence on organizational excellence in UAE universities: Exploring the moderat-ing role of demographic variables. International Journal of Data and Network Science, 8(1), 609–616. https://doi.org/10.5267/j.ijdns.2023.8.024
Mbaidin, H. O., Alomari, K. M., AlMubydeen, I. O., & Sbaee, N. Q. (2024). The critical success factors (CSF) of blockchain technology effecting excel performance of banking sector: Case of UAE Islamic Banks. International Journal of Data and Network Science, 8(1), 289–306. https://doi.org/10.5267/j.ijdns.2023.9.024
Mbaidin, H. O., Alsmairat, M. A. K., & Al-Adaileh, R. (2023). Blockchain adoption for sustainable development in developing countries: Challenges and opportunities in the banking sector. International Journal of Information Management Data Insights, 3(2), 100199. https://doi.org/10.1016/j.jjimei.2023.100199
Mhlanga, D. (2020). Industry 4.0 in Finance: The Impact of Artificial Intelligence (AI) on Digital Financial Inclusion. International Journal of Financial Studies, 8(3), 45. https://doi.org/10.3390/ijfs8030045
Mikalef, P., & Gupta, M. (2021). Artificial intelligence capability: Conceptualization, measurement calibration, and empirical study on its impact on organizational creativity and firm performance. 0378-7206, 58(3), 103434. https://doi.org/10.1016/j.im.2021.103434
Mowbray, A., Chung, P., & Greenleaf, G. (2020). Utilising AI in the legal assistance sector—Testing a role for legal information institutes. Computer Law & Security Review, 38, 105407. https://doi.org/10.1016/j.clsr.2020.105407
Mukhlisin, M. (2021). Level of Maqāsid ul-Shari’āh’s in financial reporting standards for Islamic financial institutions. Journal of Islamic Accounting and Business Research, 12(1), 60–77. https://doi.org/10.1108/JIABR-03-2020-0090
Murugesan, R., & Manohar, V. (2019). AI in Financial Sector – A Driver to Financial Literacy. Shanlax International Journal of Commerce, 7(3), 66–70. https://doi.org/10.34293/commerce.v7i3.477
Nawaiseh, K., Abd-Alkareem, M., Alawamleh, H. A., Abbas, K. M., & Orabi, T. G. A. (2021). Dimensions of corporate governance and organizational learning: An empirical study. Journal of Management Information and Decision Sciences, 24(5), 1-11.
Park, J. (2023). Artificial intelligence–assisted writing: A continuously evolving issue. Science Editing, 10(2), 115–118. https://doi.org/10.6087/kcse.318
Rabbani, Khan, & Atif (2023). Machine learning-based P2P lending Islamic Fintech model for small and medium enterprises in Bahrain. International Journal of Business Innovation and Research, 30(4), 565–579.
Rabbani, M. R. (2023). Fintech innovations, scope, challenges, and implications in Islamic Finance: A systematic analysis. International Journal of Computing and Digital Systems, 13(1). https://doi.org/10.12785/ijcds/130147
Rabbani, M. R., Bashar, A., Nawaz, N., Karim, S., Ali, M. A. M., Rahiman, H. U., & Alam, M. S. (2021). Exploring the Role of Islamic Fintech in Combating the Aftershocks of COVID-19: The Open Social Innovation of the Islamic Financial System. 2199-8531, 7(2), 136. https://doi.org/10.3390/joitmc7020136
Rabbani, M. R., Khan, S., & Thalassinos, E. I. (2020). FinTech, blockchain and Islamic finance : an extensive literature review. International Journal of Economics and Business Administration, 8(2), 65–86. https://www.um.edu.mt/library/oar/handle/123456789/54860
Rahim, S. R. M., Mohamad, Z. Z., Abu Bakar, J., Mohsin, F. H., & Isa, N. M. (2018). Artificial Intelligence, Smart Contract and Islamic Finance. Asian Social Science, 14(2), 145. https://doi.org/10.5539/ass.v14n2p145
Ryll, L., Barton, M. E., Zhang, B. Z., McWaters, R. J., Schizas, E., Hao, R., Bear, K., Preziuso, M., Seger, E., Wardrop, R., Rau, P. R., Debata, P., Rowan, P., Adams, N., Gray, M., & Yerolemou, N. (2020). Transforming Paradigms: A Global AI in Financial Services Survey. https://doi.org/10.2139/ssrn.3532038
Saleh, M., Jawabreh, O., Jaber, J., Garaibeh, A., Ali, B., & Ali, A. (2023). The Impact of Financial Determinants On Bank Deposits Using ARDL Model. Journal of Statistics Applications & Probability, 12(2), 441-452. doi:http://dx.doi.org/10.18576/jsap/120210
Salhab, H., Allahham, M., Abu-AlSondos, I., Frangieh, R., Alkhwaldi, A., & Ali, B. (2023). Inventory competition, artificial intelligence, and quality improvement decisions in supply chains with digital marketing. Uncertain Supply Chain Management, 11(4), 1915-1924.
Sarker, I. H. (2022). Ai-Based Modeling: Techniques, Applications and Research Issues Towards Automation, Intelligent and Smart Systems. SN Computer Science, 3(2), 158. https://doi.org/10.1007/s42979-022-01043-x
Savaş, S., & Karataş, S. (2022). Cyber governance studies in ensuring cybersecurity: An overview of cybersecurity governance. International Cybersecurity Law Review, 3(1), 7–34. https://doi.org/10.1365/s43439-021-00045-4
Saxena, R. (2022). A Conceptual Framework for Assessing the Application of Artificial Intelligence for Financial Reporting. Universal Journal of Accounting and Finance, 10(5), 897–911. https://doi.org/10.13189/ujaf.2022.100502
Shamdi, W., Lai, D., Aziz, A. A., & Anshari, M. (2022). Artificial intelligence development in Islamic System of Governance: A literature review. Contemporary Islam, 16(2-3), 321–334. https://doi.org/10.1007/s11562-022-00504-7
Shan, R., Xiao, X., Dong, G., Zhang, Z., Wen, Q., & Ali, B. (2022). The influence of accounting computer information processing technology on enterprise internal control under panel data simultaneous equation. Applied Mathematics and Nonlinear Sciences, aop(aop), 1–9. doi:10.2478/amns.2022.2.0157
Shniekat, N., AL_Abdallat, W., Al-Hussein, M., & Ali, B. (2022). Influence of Management Information System Dimensions on Institutional Performance. Information Sciences Letters, 11(5), 435-1443. doi:10.18576/isl/110512
Singh, P., Elmi, Z., Lau, Y., Borowska-Stefańska, M., Wiśniewski, S., & Dulebenets, M. A. (2022). Blockchain and AI technology convergence: Applications in transportation systems. Vehicular Communications, 38, 100521. https://doi.org/10.1016/j.vehcom.2022.100521
Talamo, A., Marocco, S., & Tricol, C. (2021). “The Flow in the Funnel”: Modeling Organizational and Individual Decision-Making for Designing Financial AI-Based Systems. Frontiers in Psychology, 12, 697101. https://doi.org/10.3389/fpsyg.2021.697101
Thuneibat, N. S. M., Ali, B., Alqaraleh, M. H., & Thneibat, H. (2022). The Mediating Role of Innovation On the Relationship Between Information Technologies and Reducing Tax Evasion. Information Sciences Letters, 11(2), 13-23. doi:10.18576/isl/110505
Väänänen, A., Haataja, K., Vehviläinen-Julkunen, K., & Toivanen, P. (2021). Ai in healthcare: A narrative review. F1000Research, 10, 6. https://doi.org/10.12688/f1000research.26997.2
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425. https://doi.org/10.2307/30036540
World Bank. (2017). Global report on Islamic finance: Islamic finance : a catalyst for shared prosperity? World Bank Group; Islamic Development Bank. https://doi.org/10.1596/978-1-4648-0926-2
Wuest, T., Kusiak, A., Dai, T., & Tayur, S. R. (2020). Impact of COVID-19 on Manufacturing and Supply Networks — The Case for AI-Inspired Digital Transformation. https://doi.org/10.2139/ssrn.3593540
Xu, Lu, & Li (2021). Embedding Blockchain Technology Into IoT for Security: A Survey. IEEE Internet of Things Journal, 8(13), 10452–10473. https://doi.org/10.1109/jiot.2021.3060508
Zeng, X., Li, S., & Yousaf, Z. (2022). Artificial Intelligence Adoption and Digital Innovation: How Does Digital Resilience Act as a Mediator and Training Protocols as a Moderator? Sustainability, 14(14), 8286. https://doi.org/10.3390/su14148286
Zhang, C [Caiming], & Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 23, 100224. https://doi.org/10.1016/j.jii.2021.100224
Zhang, Y., Xiong, F., Xie, Y., Fan, X., & Gu, H. (2020). The Impact of Artificial Intelligence and Blockchain on the Accounting Profession. IEEE Access, 8, 110461–110477. https://doi.org/10.1109/access.2020.3000505