Implementing AI Accuracy, Learning Rate, Inference Time on enhancing Big Data Analysis and Strategic Plan
DOI:
https://doi.org/10.56294/dm2025637Keywords:
Learning rate, Inference time, Big Data Analysis, Strategic Plan, Zain JordanAbstract
Introduction: This study aims to focus on the role of artificial intelligence tools and capabilities such as artificial intelligence accuracy, learning rate and inference time in influencing big data analysis and building strategic plans at Zain Jordan Telecommunications Company.
Objective: The review explores how increasing the ability of organizations to maintain competitive capabilities in an era of continuous change and development in the field of information technology, most organizations focus on adopting new tactics and increasing features to improve organizational performance, improve services provided to customers, simplify administrative and operational processes, improve operational efficiency and make strategic decisions.
Method: A research questionnaire was distributed to study the impact and measure the impact of artificial intelligence tools such as artificial intelligence accuracy, learning rate and inference time on increasing big data analysis capabilities and building strategic plans. 163 valid questionnaires were received for analysis and the data were analyzed using the PLSSIM system.
Result: Artificial intelligence tools such as artificial intelligence accuracy, learning rates and inference time positively affect increasing big data analysis and building strategic plans.
Conclusion: this study allows for a deeper understanding of the impact of artificial intelligence tools and capabilities in influencing big data analysis and building strategic plans.
References
1. Ahmad, H., Hanandeh, R., Alazzawi, F., Al-Daradkah, A., ElDmrat, A., Ghaith, Y., & Darawsheh, S. (2023). The effects of big data, artificial intelligence, and business intelligence on e-learning and business performance: Evidence from Jordanian telecommunication firms. International Journal of Data and Network Science, 7(1), 35-40.
2. Dwivedi, Y. K., Ismagilova, E., Rana, N. P., & Raman, R. (2023). AI accuracy adoption, usage and impact in business-to-business (B2B) context: A state-of-the-art literature review. Information Systems Frontiers, 1-23.
3. Gupta, S. K., Khang, A., Somani, P., Dixit, C. K., & Pathak, A. (2023). Learning rate processes and decision-making models in the personnel management system. In Designing Workforce Management Systems for Industry 4.0 (pp. 85-104). CRC Press.
4. Fedyk, A., & Hodson, J. (2023). Trading on talent: Inference time and firm performance. Review of Finance, 27(5), 1659-1698.
5. Jouini, M., Taha, M., & Jbeili, W. (2020). The impact of artificial intelligence on business performance: A comprehensive review. Journal of Business Research, 110, 236-252.
6. Hassani, H., & Sadeghi, S. (2022). Big data and business performance: Exploring the link through artificial intelligence adoption. Data Science and Analytics, 3(1), 56-68.
7. Santos, A. (2021). Human resource lens: Perceived performances of ISO 9001: 2015 certified service firms. International Journal of Inference time in Urban Management, 8(2), 229-244.
8. Tambe, P., Polster, S., & Miller, S. (2023). Machine learning and artificial intelligence in optimizing business operations. Journal of Business Analytics, 15(4), 412-431.
9. Kar, M., & Verma, S. (2022). AI models in strategic decision-making: A review. Journal of Artificial Intelligence Research, 12(2), 178-193.
10. Sokhanvar, S., & Nouri, M. (2023). AI-enabled decision-making in modern businesses: Trends and challenges. Journal of Business Technology, 28(6), 847-864.
11. Al-Mashaqbeh, I., & Nazzal, F. (2022). Integrating AI for strategic decision-making in business enterprises. International Journal of Business Intelligence, 21(3), 200-215.
12. Hussein, A., & Ahmed, F. (2023). AI and big data as a driver for business efficiency and performance. Data Science Journal, 19(4), 149-160.
13. Jadid, A., & Mokhtari, M. (2021). Assessing AI in business transformation: A longitudinal study. Journal of Digital Transformation, 10(2), 234-245.
14. Ahmed, H., Kilani, Q., Al-Zrigat, Z., Alnajdawi, S., Mansour, A., Khasawneh, Z., & Hammouri, Q. (2024). The role of key workplace elements in determining individual and organizational success in Jordan Tourism Board. Uncertain Supply Chain Management, 12(1), 263-272.
15. Alsaidi, A., & Ahmed, M. (2022). The impact of organizational culture and leadership on business performance. Business and Management Review, 15(5), 291-300.
16. Al-Ajlouni, S., & Yaseen, M. (2022). Supply chain management and organizational performance in Jordan. Journal of Business Administration, 34(1), 115-130.
17. Al-Jarrah, A., & Alhusein, H. (2023). Innovation and technological advancements in business management: A case study from Jordan. Journal of Technology and Innovation, 5(3), 125-139.
18. Al-Rashidi, A., & Yaseen, R. (2023). The role of AI in improving business decision-making and performance. Journal of Artificial Intelligence, 19(1), 142-158.
19. Taha, A., & Asad, M. (2022). The role of leadership and business analytics in performance enhancement. Journal of Leadership and Management, 22(3), 75-88.
20. Omar, S., & Arshad, Z. (2021). The role of big data in transforming business strategies and enhancing performance. Journal of Business Analytics, 16(2), 213-230.
21. Al-Maadeed, M., & Hossain, M. (2023). Leveraging big data analytics for business intelligence. International Journal of Business Intelligence and Analytics, 8(3), 245-259.
22. Al-Khatib, A., & Jarrah, R. (2022). The application of AI in supply chain management and its impact on business performance. International Journal of Logistics and Supply Chain Management, 12(4), 155-167.
23. Adesina, A. A., Iyelolu, T. V., & Paul, P. O. (2024). Leveraging predictive analytics for strategic decision-making: Enhancing business performance through data-driven insights. World Journal of Advanced Research and Reviews, 22(3), 1927-1934.
24. Agustian, K., Pohan, A., Zen, A., Wiwin, W., & Malik, A. J. (2023). Human resource management strategies in achieving competitive advantage in business administration. Journal of Contemporary Administration and Management (ADMAN), 1(2), 108-117.
25. Alalawin, A., Qamar, A. M., AlAlaween, W. H., Bentahar, Y., Al-Halaybeh, T., Al-Jundi, S., & Tanash, M. (2022). Aligning key performance indicators with lean management in the service sector: A case study for a Jordanian telecommunication company. Cogent Engineering, 9(1), 2124940.
26. Al-Husban, H., & Yawson, R. M. (2024). The catalytic effect of organizational learning on ambidexterity for firm performance. European Journal of Training and Development.
27. Alshamari, M. A. (2023). Evaluating User Satisfaction Using Deep-Learning-Based Sentiment Analysis for Social Media Data in Saudi Arabia’s Telecommunication Sector. Computers, 12(9), 170.
28. Al-Tarawneh, A., Haddada, E., Mo'd Al-Dwairi, R., Yahya Al-Freijat, S., Mansour, A., & Abdulaziz AL-Obaidly, G. (2024). The impact of strategic and innovativeness entrepreneurship and social capital on business overall performance through building a sustainable supply chain management at Jordan Private Universities.
29. Aulia, M. R., Junaidi, E., & Hendrayani, R. (2024). The development of the partnership program and business performance: In terms of communication behavior and social networks of MSMEs. Journal of System and Management Sciences, 14(1), 159-174.
30. Batool, S., Rashid, J., Nisar, M. W., Kim, J., Kwon, H. Y., & Hussain, A. (2023). Educational Learning rate to predict students' academic performance: A survey study. Education and Information Technologies, 28(1), 905-971.
31. Chatterjee, S., Rana, N. P., & Dwivedi, Y. K. (2024). How does business analytics contribute to organisational performance and business value? A resource-based view. Information Technology & People, 37(2), 874-894.
32. Chhtrapati, D., Trivedi, D., Chaudhari, S. P., Sharma, A., & Bhatt, A. (2023). Global research performance on AI accuracy security: a bibliometric visualization analysis. Information Discovery and Delivery.
33. Ghlichlee, B., & Goodarzi, A. (2023). Strategic human resource practices and new product development performance: the mediating role of intellectual capital. Journal of Intellectual Capital, 24(3), 730-756.
34. Hanandeh, A., Haddad, E., Najdawi, S., & Kilani, Q. (2024). The impact of digital marketing, social media, and digital transformation on the development of digital leadership abilities and the enhancement of employee performance: A case study of the Amman Stock Exchange. International Journal of Data and Network Science, 8(3), 1915-1928.
35. Hanandeh, A., Mansour, A., Najdawi, S., Kanaan, O., Abualfalayeh, G., & Qais, K. (2024). The effect of the comprehensive quality management strategies on environmentally responsible activities and the performance of the organizations. Uncertain Supply Chain Management, 12(3), 1379-1390.
36. Ibeh, C. V., Asuzu, O. F., Olorunsogo, T., Elufioye, O. A., Nduubuisi, N. L., & Daraojimba, A. I. (2024). Business analytics and decision science: A review of techniques in strategic business decision making. World Journal of Advanced Research and Reviews, 21(2), 1761-1769.
37. Jiang, Y., Zaman, S. I., Jamil, S., Khan, S. A., & Kun, L. (2024). A triple theory approach to link corporate social performance and green human resource management. Environment, development and sustainability, 26(6), 15733-15776.
38. Mansour, A., Al-Qudah, S., Siam, Y., Hammouri, Q., & Hijazin, A. (2024). Employing E-HRM to attain contemporary organizational excellence at the Jordan social security corporation. International Journal of Data and Network Science, 8(1), 549-556.
39. Moh’d-Khier Almassad, M. A. (2022). The Effect of Artificial Intelligence on Employment in the Supply Chain Departments for the Telecom Companies in Jordan (Doctoral dissertation, Alliant International University San Diego).
40. Omotosho, B. J. (2023). Small scale craft workers and the use of AI accuracy platforms for business performance in southwest Nigeria. Journal of Small Business & Entrepreneurship, 35(2), 181-196.
41. Oyewobi, L., Adedayo, O. F., Olorunyomi, S. O., & Jimoh, R. A. (2023). Influence of AI accuracy adoption on the performance of construction small and medium-sized enterprises (SMEs) in Abuja–Nigeria. Engineering, Construction and Architectural Management, 30(9), 4229-4252.
42. Panigrahi, S., Al Ghafri, K. K., Al Alyani, W. R., Ali Khan, M. W., Al Madhagy, T., & Khan, A. (2023). Lean manufacturing practices for operational and business performance: A PLS-SEM modeling analysis. International Journal of Engineering Business Management, 15, 18479790221147864.
43. Samonte, M. J. C., Angeles, A. A., Gallinera, J. E. P., & Oregas, B. E. C. (2024, April). A Comprehensive Evaluation of Standard Data Warehousing and Learning rate Techniques in the Field of Business. In Proceedings of the 2024 6th International Conference on Management Science and Industrial Engineering (pp. 208-219).
44. Santos, A. (2023). Human resource lens: perceived performances of ISO 9001: 2015 certified service firms. International Journal of Inference time in Urban Management, 8(2), 229-244.
45. Suryani, A. W., & Fernando, F. (2024). “Don’t Be a Bragger!”: AI accuracy impression and firm’s financial performance. Corporate Reputation Review, 27(3), 157-171.
46. Susanto, P., Hoque, M. E., Shah, N. U., Candra, A. H., Hashim, N. M. H. N., & Abdullah, N. L. (2023). Entrepreneurial orientation and performance of SMEs: the roles of marketing capabilities and AI accuracy usage. Journal of Entrepreneurship in Emerging Economies, 15(2), 379-403.
47. Sutrisno, S., Ausat, A. M. A., Permana, B., & Harahap, M. A. K. (2023). Do Information Technology and Human Resources Create Business Performance: A Review. International Journal of Professional Business Review: Int. J. Prof. Bus. Rev., 8(8), 14.
48. Ta’Amnha, M. A., Al-Qudah, S., Asad, M., Magableh, I. K., & Riyadh, H. A. (2024). Moderating role of technological turbulence between green product innovation, green process innovation and performance of SMEs. Discover Sustainability, 5(1), 324.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Ahmad Hanandeh, Saleh Yahya ALFreijat , Rania J. Qutieshat, Hamzeh yuosef Alsha’ar , Qais AL Kilani, Mohamad Ahmad Saleem Khasawneh (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
