The Influence of AI on Business Productivity and Profitability in the Kingdom Saudi Arabia
تأثير الذكاء الاصطناعي على إنتاجية الأعمال وربحيتها في المملكة العربية السعودية
DOI:
https://doi.org/10.53555/eijbms.v11i1.200Keywords:
Artificial intelligence, AI adoption, Business Productivity, Decision-Making, policy implications, human-AI collaboration, Saudi ArabiaAbstract
In recent years, Artificial Intelligence (AI) has revolutionized the business world. Countries around the world are benefiting from its applications and usage in digitalization. The Kingdon of Saudi Arabia (KSA) has established a goal for the next seven years to achieve a digitalization target that encompasses growing and implementing AI technology to foster economic growth and the industrial sector. This AI technology guarantees several benefits for businesses in this competitive landscape to influence the profitability and productivity of employees. However, it is not fully studied and it is not clear how AI is being used and how helping businesses in the KSA. Therefore, this study is conducted to understand the role and implementation of AI in the KSA for improving business decision-making, creativity, production, revenue, and innovation. The research is completed by selecting relevant journals from Scopus to analyze potential AI benefits and challenges for the KSA. The research also addresses a literature gap such as AI integration barriers and what are policy implications not covered in the current literature. The research chooses relevant Scopus journals to analyze potential AI benefits and challenges Relavant examples help to quantify AI influences such as almost 20% improvement in decision-making with AI and 15% increase in innovation. The literature analysis of empirical studies shows that the country needs huge infrastructure improvement and investment initiatives to bridge knowledge gaps to ensure complete adoption of AI by 2030. This review concludes that business managers, government authorities, and stakeholders should understand the unique dynamics of this technology and improve and train human resources to align their skills with AI’s better management and implementation to avoid any pitfalls. The future of AI in the KSA is extremely bright in all industrial sectors to revolutionize the finance, marketing, banking, and healthcare sectors. The unique contribution of this study includes insights into the human-AI interaction to ensure business sustainability. This study is useful for offering unique insights for policy-makers to establish policies for enhancing AI utilization in the KSA.
References
Abdullah, R., & Fakieh, B. (2020). Health care employees’ perceptions of the use of artificial intelligence applications: survey study. Journal of medical Internet research, 22(5), e17620.
Abdullah, R., & Fakieh, B. (2020). Health care employees’ perceptions of the use of artificial intelligence applications: survey study. Journal of medical Internet research, 22(5), e17620.
Abdullah, R., & Fakieh, B. (2020). Health care employees’ perceptions of the use of artificial intelligence applications: survey study. Journal of medical Internet research, 22(5), e17620.
Ahmed, S. M. (2019, February). Artificial intelligence in Saudi Arabia: Leveraging entrepreneurship in the arab markets. In 2019 Amity International Conference on Artificial Intelligence (AICAI) (pp. 394-398). IEEE.
Akhtar, A. (2023). The next leader in AI. Saudi Arabia is very serious about its AI vision, as we all may know by now! Did you know. [online] Linkedin.com. Available at: https://www.linkedin.com/pulse/saudi-arabias-rapid-development-ai-abubakr-akhtar/ [Accessed 21 Jan. 2024].
Alattas, K. (2023). Saudi Arabia Corporate Firms are Hesitant to Embrace Artificial Intelligence as of 2020 Despite the Numerous Benefits. WSEAS Transactions on Systems and Control, 18, 38-46.
Aleisa, M. A., Beloff, N., & White, M. (2023). Implementing AIRM: a new AI recruiting model for the Saudi Arabia labour market. Journal of Innovation and Entrepreneurship, 12(1), 59.
AlGosaibi, A. A., Sait, A. R. W., AlOthman, A. F., & AlHamed, S. (2020). Developing an Intelligent Framework for Improving the Quality of Service in the Government Organizations in the Kingdom of Saudi Arabia. International Journal of Advanced Computer Science and Applications, 11(12).
Alhashmi, S. F., Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2020). A systematic review of the factors affecting the artificial intelligence implementation in the health care sector. In Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) (pp. 37-49). Springer International Publishing.
Alhashmi, S. F., Alshurideh, M., Al Kurdi, B., & Salloum, S. A. (2020). A systematic review of the factors affecting the artificial intelligence implementation in the health care sector. In Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) (pp. 37-49). Springer International Publishing.
Al-Jehani, N. B., Hawsawi, Z. A., Radwan, N. E. Y. A. R. A., & Farouk, M. A. G. E. D. (2021). Development of artificial intelligence techniques in Saudi Arabia: the impact on COVID-19 pandemic. Literature review. Journal of Engineering Science and Technology, 16(6), 4530-47.
Aljohani, N. R., Aslam, M. A., Khadidos, A. O., & Hassan, S. U. (2022). A methodological framework to predict future market needs for sustainable skills management using AI and big data technologies. Applied Sciences, 12(14), 6898.
Alotaibi, N. S., & Alshehri, A. H. (2023). Prospers and Obstacles in Using Artificial Intelligence in Saudi Arabia Higher Education Institutions—The Potential of AI-Based Learning Outcomes. Sustainability, 15(13), 10723.
Alotaibi, N. S., & Alshehri, A. H. (2023). Prospers and Obstacles in Using Artificial Intelligence in Saudi Arabia Higher Education Institutions—The Potential of AI-Based Learning Outcomes. Sustainability, 15(13), 10723.
Alotaibi, N. S., & Alshehri, A. H. (2023). Prospers and Obstacles in Using Artificial Intelligence in Saudi Arabia Higher Education Institutions—The Potential of AI-Based Learning Outcomes. Sustainability, 15(13), 10723.
Alrashedi, A., & Abbod, M. (2021). The effect of using artificial intelligence on performance of appraisal system: a case study for University of Jeddah Staff in Saudi Arabia. In Intelligent Systems and Applications: Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 1 (pp. 145-154). Springer International Publishing.
Alshahrani, A., Dennehy, D., & Mäntymäki, M. (2022). An attention-based view of AI assimilation in public sector organizations: The case of Saudi Arabia. Government Information Quarterly, 39(4), 101617.
Alsharidah, Y. M. Y., & Alazzawi, A. (2020, October). Artificial intelligence and digital transformation in supply chain management A case study in saudi companies. In 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI) (pp. 1-6). IEEE.
Alsharidah, Y. M. Y., & Alazzawi, A. (2020, October). Artificial intelligence and digital transformation in supply chain management A case study in saudi companies. In 2020 International Conference on Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI) (pp. 1-6). IEEE.
Baabdullah, A. M. (2024). The precursors of AI adoption in business: Towards an efficient decision-making and functional performance. International Journal of Information Management, 75, 102745.
Baabdullah, A. M., Alalwan, A. A., Slade, E. L., Raman, R., & Khatatneh, K. F. (2021). SMEs and artificial intelligence (AI): Antecedents and consequences of AI-based B2B practices. Industrial Marketing Management, 98, 255-270.
Bamatraf, S., Amouri, L., El-Haggar, N., & Moneer, A. (2021). Exploring the Socio-economic Implications of Artificial Intelligence from Higher Education Student’s Perspective. International Journal of Advanced Computer Science and Applications, 12(6).
Basri, W. (2020). Examining the impact of artificial intelligence (AI)-assisted social media marketing on the performance of small and medium enterprises: toward effective business management in the Saudi Arabian context. International Journal of Computational Intelligence Systems, 13(1), 142.
Basri, W. (2020). Examining the impact of artificial intelligence (AI)-assisted social media marketing on the performance of small and medium enterprises: toward effective business management in the Saudi Arabian context. International Journal of Computational Intelligence Systems, 13(1), 142.
Beloff, N., & White, M. (2021). Implementing AIRM: A New AI Recruiting Model for the Saudi Arabia Labour Market.
Binsaeed, R. H., Yousaf, Z., Grigorescu, A., Samoila, A., Chitescu, R. I., & Nassani, A. A. (2023). Knowledge Sharing Key Issue for Digital Technology and Artificial Intelligence Adoption. Systems, 11(7), 316.
Elhajji, M., Alsayyari, A. S., & Alblawi, A. (2020, March). Towards an artificial intelligence strategy for higher education in Saudi Arabia. In 2020 3rd International Conference on Computer Applications & Information Security (ICCAIS) (pp. 1-7). IEEE.
Habli, I., Lawton, T., & Porter, Z. (2020). Artificial intelligence in health care: accountability and safety. Bulletin of the World Health Organization, 98(4), 251.
Hassan, O. (2020). Artificial intelligence, neom and Saudi Arabia's economic diversification from oil and gas. The Political Quarterly, 91(1), 222-227.
Hassan, O. (2020). Artificial intelligence, neom and Saudi Arabia's economic diversification from oil and gas. The Political Quarterly, 91(1), 222-227.
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, 7(01), 83-111.
Khan, M. A., Khojah, M., & Vivek. (2022). Artificial intelligence and big data: The advent of new pedagogy in the adaptive e-learning system in the higher educational institutions of Saudi Arabia. Education Research International, 2022, 1-10.
Lee, D., & Yoon, S. N. (2021). Application of artificial intelligence-based technologies in the healthcare industry: Opportunities and challenges. International Journal of Environmental Research and Public Health, 18(1), 271.
Mutawa, M. A., & Rashid, H. (2020, August). Comprehensive review on the challenges that impact artificial intelligence applications in the public sector. In Proceedings of the 5th NA International Conference on Industrial Engineering and Operations Management (Vol. 10).
Potestà, G. (2021). Sustainable Development of Arabian Gulf Cities: Is Artificial Intelligence Conducive to Equitable Well-being for Users?. International Journal of Social Sustainability in Economic, Social & Cultural Context, 17(2).
Qurashi, A. A., Alanazi, R. K., Alhazmi, Y. M., Almohammadi, A. S., Alsharif, W. M., & Alshamrani, K. M. (2021). Saudi radiology personnel’s perceptions of artificial intelligence implementation: a cross-sectional study. Journal of Multidisciplinary Healthcare, 3225-3231.
Wolff, J., Pauling, J., Keck, A., & Baumbach, J. (2020). The economic impact of artificial intelligence in health care: systematic review. Journal of medical Internet research, 22(2), e16866.
