Abstract
With an eye toward the potential educational benefits of AI applications on the world structure, this study examines managers' perspectives and motivations for learning when embracing AI applications to develop managerial decisions. TAM model is employed, and 325 surveys were used to collect data with details about educating managers in adopting AI Applications in organizations in the UAE to develop decision making. The findings show that managers' inclination to make managerial decisions was greatly influenced by their opinions on usefulness, perceived values, and ease of use in the feasibility of training managers in adopting AI Applications. This research paper is significantly contributing to the field of training managers in AI application adoption and the positive impact of this education on making decisions.
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References
A.M. Alfaisal, A. Zare, A. Alshaafi, R. Aljanada, R.M. Alfaisal, G.W. Abukhalil, Predicting the actual use of social media sites among university communicators: using PLS-SEM and ML approaches
R. Aljanada, G.W. Abukhalil, A.M. Alfaisal, R.M. Alfaisal, Adoption of google glass technology: PLS-SEM and machine learning analysis
R. Alfaisal et al., Predicting the intention to use google glass in the educational projects: a hybrid SEM-ML approach
K. Alhumaid, N. Alnazzawi, I. Akour, O. Khasoneh, R. Alfaisal, S. Salloum, An integrated model for the usage and acceptance of stickers in WhatsApp through SEM-ANN approach. Int. J. Data Netw. Sci. 6(4), 1261–1272 (2022)
A. Aburayya et al., SEM-machine learning-based model for perusing the adoption of metaverse in higher education in UAE. Int. J. Data Netw. Sci. 7(2), 667–676 (2023)
T. Gaber, A. Tharwat, V. Snasel, A.E. Hassanien, Plant identification: two dimensional-based vs. one dimensional-based feature extraction methods, in 10th International Conference On Soft Computing Models in Industrial and Environmental Applications (2015), pp. 375–385
N.A. Samee et al., Metaheuristic optimization through deep learning classification of COVID-19 in chest x-ray images. Comput. Mater. Contin. 73(2) (2022)
A. Tharwat, T. Gaber, M.M. Fouad, V. Snasel, A.E. Hassanien, Towards an automated zebrafish-based toxicity test model using machine learning. Procedia Comput. Sci. 65, 643–651 (2015)
S. Al-Skaf, E. Youssef, M. Habes, K. Alhumaid, S.A. Salloum, The acceptance of social media sites: an empirical study using PLS-SEM and ML approaches, in Advanced Machine Learning Technologies and Applications: Proceedings of AMLTA 2021 (2021), pp. 548–558
M. Taryam et al., Effectiveness of not quarantining passengers after having a negative COVID-19 PCR test at arrival to Dubai airports. Syst. Rev. Pharm. 1384–1395 (2020)
K. Alhumaid et al., Predicting the intention to use audi and video teaching styles: an empirical study with PLS-SEM and machine learning models, in International Conference on Advanced Machine Learning Technologies and Applications (2022), pp. 250–264
M. Elareshi, M. Habes, E. Youssef, S.A. Salloum, R. Alfaisal, A. Ziani, SEM-ANN-based approach to understanding students’ academic-performance adoption of YouTube for learning during Covid. Heliyon e09236 (2022)
S.A. Salloum et al., Novel machine learning based approach for analysing the adoption of metaverse in medical training: a UAE case study. Inf. Med. Unlocked 101354 (2023)
S. Salloum et al., Sustainability model for the continuous intention to use metaverse technology in higher education: a case study from Oman. Sustainability 15(6), 5257 (2023)
W. Almesmari, M. Alawadhi, K. Alhumaid, S. Almarzooqi, Sh. Aljasmi, A. Aburayya, S.A. Salloum, Factors affecting medical students’ acceptance of the metaverse system in medical training in the United Arab Emirates. SEEJPH 5 (2022)
R.M. Alfaisal, A. Zare, A.M. Alfaisal, R. Aljanada, G.W. Abukhalil, The acceptance of metaverse system: a hybrid SEM-ML approach. Int. J. Adv. Appl. Comput. Intell. 1(1), 34–44 (2022)
R. Alfaisal, H. Hashim, U.H. Azizan, Metaverse system adoption in education: a systematic literature review. J. Comput. Educ. 1–45 (2022)
R. Ravikumar et al., Impact of knowledge sharing on knowledge acquisition among higher education employees. Comput. Integr. Manuf. Syst. 28(12), 827–845 (2022)
Adam Uzialko (2023). https://www.businessnewsdaily.com/9402-artificial-intelligence-business-trends.html
F. Shwedeh et al., Entrepreneurial innovation among international students in the UAE: differential role of entrepreneurial education using SEM analysis. Int. J. Innov. Res. Sci. Stud. 6(2), 266–280 (2023)
T. Gaber, Y. El Jazouli, E. Eldesouky, A. Ali, Autonomous haulage systems in the mining industry: cybersecurity, communication and safety issues and challenges. Electronics 10(11), 1357 (2021)
G.I. Sayed, M.A. Ali, T. Gaber, A.E. Hassanien, V. Snasel, A hybrid segmentation approach based on Neutrosophic sets and modified watershed: a case of abdominal CT Liver parenchyma, in 2015 11th International Computer Engineering Conference (ICENCO) (2015), pp. 144–149
A. Tharwat, T. Gaber, A.E. Hassanien, B.E. Elnaghi, Particle swarm optimization: a tutorial. Handb. Res. Mach. Learn. Innov. Trends 614–635 (2017)
A. Alshamsi, R. Bayari, S. Salloum, Sentiment analysis in english texts
R. Al-Maroof, N. Al-Qaysi, S.A. Salloum, M. Al-Emran, Blended learning acceptance: a systematic review of information systems models. Technol. Knowl. Learn. 1–36 (2021)
I. Shahin, A.B. Nassif, A. Elnagar, S. Gamal, S.A. Salloum, A. Aburayya, Neurofeedback interventions for speech and language impairment: a systematic review. J. Manag. Inf. Decis. Sci. 24, 1–30 (2021)
D.L. Capuyan et al., Adaptation of innovative edge banding trimmer for technology instruction: a university case. World J. Educ. Technol. Curr. Issues 13(1), 31–41 (2021)
E. Mouzaek, N. Alaali, S.A Salloum, A. Aburayya, An empirical investigation of the impact of service quality dimensions on guests satisfaction: a case study of Dubai hotels. J. Contemp. Issues Bus. Gov. 27(3), 1186–1199 (2021)
I. Makki, N. Rahmani, M. Aljasmi, S. Mubarak, S.A. Salloum, N. Alaali, The impact of the COVID-19 pandemic on the mental health status of healthcare providers in the primary health care sector in Dubai (2020)
M. Tahoun, A.A. Almazroi, M.A. Alqarni, T. Gaber, E.E. Mahmoud, M.M. Eltoukhy, A grey wolf-based method for mammographic mass classification. Appl. Sci. 10(23), 8422 (2020)
A. Ibrahim, T. Gaber, T. Horiuchi, V. Snasel, A.E. Hassanien, Human thermal face extraction based on superpixel technique, in The 1st International Conference on Advanced Intelligent System and Informatics (AISI2015), November 28–30, 2015, Beni Suef, Egypt (2016), 163–172
S. Applebaum, T. Gaber, A. Ahmed, Signature-based and machine-learning-based web application firewalls: a short survey. Procedia Comput. Sci. 189, 359–367 (2021)
S. Salloum, T. Gaber, S. Vadera, K. Sharan, A systematic literature review on phishing email detection using natural language processing techniques. IEEE Access (2022)
K. Shaalan, H. Yousuf, M. Lahzi, S.A. Salloum, Systematic review on fully homomorphic encryption scheme and its application, in M. Al-Emran, K. Shaalan, A. Hassanien (eds.) Advances in intelligent systems and smart applications. Studies in Systems, Decision and Control, vol 295 (Springer, Cham, 2021)
F. Shwedeh, N. Hami, S.Z.A. Baker, Effect of leadership style on policy timeliness and performance of smart city in Dubai: a review, in Proceedings of the International Conference on Industrial Engineering and Operations Management (2020), 917–922
Anna Khmara (2022). https://itchronicles.com/artificial-intelligence/the-impact-of-artificial-intelligence-ai-on
M. Salameh et al., The impact of project management office’s role on knowledge management: a systematic review study. Comput. Integr. Manuf. Syst. 28(12), 846–863 (2022)
R. Ravikumar et al., The impact of big data quality analytics on knowledge management in healthcare institutions: lessons learned from big data’s application within the healthcare sector. South East. Eur. J. Public Heal. (2023)
Lilach Bullock (2019)
I. Akour, N. Alnazzawi, R. Alfaisal, S.A. Salloum, Using classical machine learning for phishing websites detection from urls
M.A. Almaiah et al., 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 (2022)
M.A. Almaiah et al., Determinants influencing the continuous intention to use digital technologies in higher education. Electronics 11(18), 2827 (2022)
R. Al-Maroof et al., Students’ perception towards using electronic feedback after the pandemic: post-acceptance study. Int. J. Data Netw. Sci. 6(4), 1233–1248 (2022)
R.S. Al-Maroof et al., The effectiveness of online platforms after the pandemic: will face-to-face classes affect students’ perception of their Behavioural Intention (BIU) to use online platforms? Informatics 8(4), 83 (2021)
S. Abdallah et al., A COVID19 quality prediction model based on IBM Watson machine learning and artificial intelligence experiment. Comput. Integr. Manuf. Syst. 28(11), 499–518 (2022)
F. Shwedeh et al., SMEs’ innovativeness and technology adoption as downsizing strategies during COVID-19: the moderating role of financial sustainability in the tourism industry using structural equation modelling. Sustainability 14(23), 16044 (2022)
K. Tahat et al., Detecting fake news during the COVID-19 pandemic: a SEM-ML approach. Comput. Integr. Manuf. Syst. 28(12), 1554–1571 (2022)
M. Habes et al., Students’ perceptions of mobile learning technology acceptance during Covid-19: WhatsApp in focus. EMI. Educ. Media Int. 1–19 (2022)
R. Almaiah, M.A. Alhumaid, K. Aldhuhoori, A. Alnazzawi, N. Aburayya, A. Alfaisal, R. Salloum, S.A. Lutfi, A. Al Mulhem, A. Alkhdour, T. Awad, A.B. Shehab, Factors affecting the adoption of digital information technologies in higher education: an empirical study. Electronics 11(3572) (2022)
M.A. Almaiah et al., Integrating teachers’ TPACK levels and students’ learning motivation, technology innovativeness, and optimism in an IoT acceptance model. Electronics 11, 3197 (2022). s Note: MDPI stays neu-tral with regard to jurisdictional claims in …, 2022
M.A. Almaiah et al., Measuring institutions’ adoption of artificial intelligence applications in online learning environments: integrating the innovation diffusion theory with technology adoption rate. Electronics 11(20), 3291 (2022)
R.S. Al-Maroof et al., Students’ perception towards behavioral intention of audio and video teaching styles: an acceptance study. Int. J. Data Netw. Sci. 6(2), 603 (2022)
I. Akour et al., A conceptual model for investigating the effect of privacy concerns on e-commerce adoption: a study on United Arab Emirates consumers. Electronics 11(22), 3648 (2022)
F. Shwedeh, Harnessing digital issue in adopting metaverse technology in higher education institutions: evidence from the United Arab Emirates. Int. J. Data Netw. Sci. 8(1), 489–504 (2024)
wikipedia (2023). https://en.wikipedia.org/wiki/AI#:~:text=AIisanartificialintellige
F. Shwedeh, N. Hami, S.Z.A. Bakar, Dubai smart city and residence happiness: a conceptual study. Ann. Rom. Soc. Cell Biol. 7214–7222 (2021)
Jason Fernando (2022). https://www.investopedia.com/terms/s/scm.asp#:~:text=WhatIsaSupplyChain,manufacturing%2Cpackaging%2Cortransporting
Sean Ashcroft (2023). https://supplychaindigital.com/digital-supplychain/how-can-AI-help-supply-chains
Victor Nunez (2023). https://www.shiplilly.com/blog/how-chat-gpt-thinks-it-can-revolutionize-the-logistics-industry/
S. Khadragy et al., Predicting diabetes in United Arab Emirates healthcare: artificial intelligence and data mining case study, South East. Eur. J. Public Health (2022)
M. Alkashami, A. Taamneh, S. Khadragy, F. Shwedeh, A. Aburayya, S. Salloum, AI different approaches and ANFIS data mining: a novel approach to predicting early employment readiness in Middle Eastern nations. Int. J. Data Netw. Sci. 7(3), 1267–1282 (2023)
A.S. George, A.S.H. George, A.S.G. Martin, The environmental impact of AI: a case study of water consumption by chat GPT. Partners Univers. Int. Innov. J. 1(2), 97–104 (2023)
A. Alsharhan, S. Salloum, A. Aburayya, Technology acceptance drivers for AR smart glasses in the middle east: a quantitative study. Int. J. Data Netw. Sci. 6(1), 193–208 (2022)
A. Aburayya, D. Alawadhi, M. Taryam, A conceptual framework for implementing TQM in the primary healthcare centers and examining its impact on patient satisfaction. Int. J. Adv. Res. 7(3), 1047–1065 (2019)
S.R. AlSuwaidi, M. Alshurideh, B. Al Kurdi, A. Aburayya, The main catalysts for collaborative R&D projects in Dubai industrial sector, in The International Conference on Artificial Intelligence and Computer Vision (2021), 795–806
S. Biswas, The function of chat GPT in social media: according to chat GPT. SSRN 4405389 (2023)
A. Almarzouqi, A. Aburayya, S.A. Salloum, Determinants of intention to use medical smartwatch-based dual-stage SEM-ANN analysis. Inf. Med. Unlocked 28, 100859 (2022)
AlAfnan (2023). https://ojs.istp-press.com/jait/article/download/184/178
M.A. AlAfnan, S. Dishari, M. Jovic, K. Lomidze, Chatgpt as an educational tool: opportunities, challenges, and recommendations for communication, business writing, and composition courses. J. Artif. Intell. Technol. 3(2), 60–68 (2023)
A. Almarzouqi, A. Aburayya, S.A. Salloum, Determinants predicting the electronic medical record adoption in healthcare: a SEM-artificial neural network approach. PLoS One 17(8), e0272735 (2022)
A. Aburayya, A. Al Marzouqi, I. Al Ayadeh, A. Albqaeen, S. Mubarak, Evolving a hybrid appointment system for patient scheduling in primary healthcare centres in Dubai: perceptions of patients and healthcare provider. Int. J. Emerg. Technol. 11(2) 251–260 (2020)
M. Kleijnen, K. De Ruyter, M. Wetzels, An assessment of value creation in mobile service delivery and the moderating role of time consciousness. J. Retail. 83(1), 33–46 (2007)
Y. Wang, H. Lin, P. Luarn, Predicting consumer intention to use mobile service. Inf. Syst. J. 16(2), 157–179 (2006)
B.M. Dahu et al., The impact of COVID-19 lockdowns on air quality: a systematic review study. South East. Eur. J. Public Heal. (2022)
M. Easterby-Smith, M.A. Lyles, E.W.K. Tsang, Inter-organizational knowledge transfer: current themes and future prospects. J. Manag. Stud. 45(4), 677–690 (2008)
S.A. Salloum, K. Shaalan, Adoption of E-Book for University Students, vol. 845 (2019)
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Shwedeh, F. et al. (2024). The Impact of Educating Managers in Adopting AI Applications on Decision Making Development: A Case Study in the U.A.E. In: Al-Marzouqi, A., Salloum, S.A., Al-Saidat, M., Aburayya, A., Gupta, B. (eds) Artificial Intelligence in Education: The Power and Dangers of ChatGPT in the Classroom. Studies in Big Data, vol 144. Springer, Cham. https://doi.org/10.1007/978-3-031-52280-2_37
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