Dr. Shaifali Garg, Dr Bhadrappa Haralayya, Mohammad ali AL Qudah, Lakshmana Phaneendra Maguluri, András Szeberényi, Aws Zuhair Sameen


The paper seeks to investigate, while acknowledging its limits, how artificial intelligence (AI) affects employee commitment and productivity at work. The study combines a qualitative research approach with a simple random sample technique. Online surveys are created using Google Forms and are used to gather data. Sixty percent of the one hundred participants are female, forty percent are male, and ninety-nine percent of responses are between the ages of twenty and forty. The findings demonstrate that AI can positively affect employee engagement and productivity. The use of computers to simulate intelligent behavior with little to no human intervention is known as artificial intelligence (AI). Artificial intelligence (AI) is revolutionising management practices and has a big impact on output and efficiency across a range of industries. This abstract explores the ways in which artificial intelligence (AI) has impacted management, emphasizing the ways in which AI has automated data processing, decision-making, and repetitive tasks. AI technologies, such as machine learning and predictive analytics, let managers make well-informed decisions based on huge datasets, which improves strategic planning and resource allocation. Additionally, AI-driven solutions make teamwork, communication, and project management easier, which encourages an organisational structure that is more adaptive and agile.

Keyword : Artificial Intelligence, Management, Productivity, Efficiency, Ai Technologies, Ai-Driven,

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1. Akhtar Bhatti, A., Ali Jamali, M., Khokhar, M., Haneef Buriro, M., Scholar, Mp., & Ali Jinnah University Karachi, M. (2023). The Impact of Gold, Oil Prices, and their Associated Implied Volatilities on Performance of Pakistan’s Stock Market. Pakistan Journal of Humanities and Social Sciences, 11(2), 1371–1384. 2. Asqah, A., Leveraging, S., Alabdulatif, A., Al Asqah, M., Moulahi, T., & Zidi, S. (2023). Leveraging Artificial Intelligence in Blockchain-Based E-Health for Safer Decision Making Framework. Applied Sciences, 13(2), 1035. 3. Begum Siddiqui, M., Khokhar, M., Rafique Makhdoom, T., Devi, A., Akhtar Bhatti, A., Hussain, N., School of Business, B., Bhutto Shaheed University Lyari, B., & Author, C. (2023). Exploring the Rural Development of China Pakistan Economic Corridor Project Impact on Social Responsibilities and South Region of Pakistan. International Journal of Special Education, 38(1), 135–150. 4. Bhatti, A. A., Raza, A., Devi, A., Jamali, M. A., Khokhar, M., Badin, L. C., Campus, K., Shaheed, B. B., Words, K., Bank, I., Bank, T., Technology, F., Envelopment, D., Auto, P. V., & Khokhar, M. (2023). Financial Technology and Performance of Islamic Vs. Traditional Banks in Pakistan: By Non-Parametric Data Envelopment Analysis (DEA). 3, 269–281. 5. Bui, T. H., & Nguyen, V. P. (2023). The impact of artificial intelligence and digital economy on Vietnam’s legal system. International Journal for the Semiotics of Law-Revue internationale de Sémiotique juridique, 36(2), 969-989. 6. Castka, P., Searcy, C., & Fischer, S. (2020). Technology-enhanced auditing in voluntary sustainability standards: The impact of COVID-19. Sustainability (Switzerland), 12(11). 7. Chang, L., Taghizadeh-Hesary, F., & Mohsin, M. (2023). Role of artificial intelligence on green economic development: Joint determinates of natural resources and green total factor productivity. Resources Policy, 82, 103508. 8. Chatterjee, S., Chaudhuri, R., Kamble, S., Gupta, S., & Sivarajah, U. (2023). Adoption of artificial intelligence and cutting-edge technologies for production system sustainability: A moderator-mediation analysis. Information Systems Frontiers, 25(5), 1779-1794. 9. JOSHI, D. A., & MASIH, D. J. (2023). ENHANCING EMPLOYEE EFFICIENCY AND PERFORMANCE IN INDUSTRY 5.0 ORGANIZATIONS THROUGH ARTIFICIAL INTELLIGENCE INTEGRATION. European Economic Letters (EEL), 13(4), 300-315. 10. Mohammad, A., & Mahjabeen, F. (2023). Revolutionizing solar energy: The impact of artificial intelligence on photovoltaic systems. International Journal of Multidisciplinary Sciences and Arts, 2(1). 11. Nosova, S. S., Norkina, A. N., & Morozov, N. V. (2023). ARTIFICIAL INTELLIGENCE AND THE FUTURE OF THE MODERN ECONOMY. Инновации и инвестиции, (1), 240-245. 12. Sahni, V., Srivastava, S., & Khan, R. (2021). Modelling techniques to improve the quality of food using artificial intelligence. Journal of Food Quality, 2021, 1-10. 13. Waltersmann, L., Kiemel, S., Stuhlsatz, J., Sauer, A., & Miehe, R. (2021). Artificial Intelligence Applications for Increasing Resource Efficiency in Manufacturing Companies—A Comprehensive Review. Sustainability, 13(12), 6689. 14. Wang, K. L., Sun, T. T., & Xu, R. Y. (2023). The impact of artificial intelligence on total factor productivity: empirical evidence from China’s manufacturing enterprises. Economic Change and Restructuring, 56(2), 1113-1146. 15. Xing, L. (2023). Evaluation of the impact of artificial intelligence and intelligent Internet of Things on population mobility on regional economic differences. Soft Computing, 1-12. 16. Kondamudi, B. R., Hoang, S. D., Tuckova, Z., Dey, S. K., Hoc, H. T., & Kumar, B. R. (2023). Tourists’ Perception and Influence Factors in Virtual Tourism Using Bayesian Sentimental Analysis Model in Vietnam Based on e WOM for Sustainable Development. Journal of Law and Sustainable Development, 11(3), e338-e338. 17. Bhavana Raj, K., Webber, J. L., Marimuthu, D., Mehbodniya, A., Stalin David, D., Rangasamy, R., & Sengan, S. (2022, September). Equipment Planning for an Automated Production Line Using a Cloud System. In International Conference on Innovations in Computer Science and Engineering (pp. 707-717). Singapore: Springer Nature Singapore. 18. Jaichandran, R., Krishna, S. H., Madhavi, G. M., Mohammed, S., Raj, K. B., & Manoharan, G. (2023, January). Fuzzy Evaluation Method on the Financing Efficiency of Small and Medium-Sized Enterprises. In 2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF) (pp. 1-7). IEEE. 19. Karn, A. L., Kondamudi, B. R., Gupta, R. K., Pustokhin, D. A., Pustokhina, I. V., Alharbi, M., ... & Sengan, S. (2022). An Empirical Analysis of the Effects of Energy Price Shocks for Sustainable Energy on the Macro-Economy of South Asian Countries. Energies, 16(1), 1-19. 20. Wassan, S., Suhail, B., Mubeen, R., Raj, B., Agarwal, U., Khatri, E., ... & Dhiman, G. (2022). Gradient boosting for health IoT federated learning. Sustainability, 14(24), 16842. 21. Bommisetti, R. K., Raj, B. K., Subbalakshmi, A. V. V. S., Shehryar, M., & Hoang, S. D. (2022). Blockchain in Trust with Reputation Management for Financial Stock Market Using Distributed Ledger Technology and Bayesian Theory Based on Fault Tolerance Model. Global Business Review, 09721509221110371. 22. Revathy, G., Raj, K. B., Kumar, A., Adibatti, S., Dahiya, P., & Latha, T. M. (2022). Investigation of E-voting system using face recognition using convolutional neural network (CNN). Theoretical Computer Science, 925, 61-67. 23. Momin, U. (2023). NREGA-Catalyst for Fostering Inclusive Growth. International Journal for Multidimensional Research Perspectives, 1(4), 63-72. 24. Momin, M. U. An Analysis of the Challenges and Opportunities Encountered by Small and Medium Enterprises (SMES) in the Context of the Indian Economy. 25. Momin, U., Mehak, S. T., & Kumar, M. D. (2023). Strategic Planning and Risk Management in the Stratup, Innovation and Entrepreneurship: Best Practices and Challenges. Journal of Informatics Education and Research, 3(2). 26. Mahajan, T., Momin, U., Khan, S., & Khan, H. ROLE OF WOMEN’S ENTREPRENEURSHIP IN SOCIAL AND ECONOMIC DEVELOPMENT OF INDIA. 27. Yadav, S., Sudman, M. S. I., Dubey, P. K., Srinivas, R. V., Srisainath, R., & Devi, V. C. (2023, October). Development of an GA-RBF based Model for Penetration of Electric Vehicles and its Projections. In 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) (pp. 1-6). IEEE. 28. Sakthivel, M., Sudman, M. S. I., Ravishankar, K., Avinash, B., Kumar, A., & Ponnusamy, M. (2023, October). Medical Image Analysis of Multiple Myeloma Diagnosis Using CNN and KNN Based Approach. In 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) (pp. 92-97). IEEE. 29. Menaga, D., Ambati, L.S. & Bojja, G.R. Optimal trained long short-term memory for opinion mining: a hybrid semantic knowledgebase approach. Int J Intell Robot Appl 7, 119–133 (2023). 30. D. Menaga and A. Lakshminarayanan, "A Method for Predicting Movie Box-Office using Machine Learning," 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, 2023, pp. 1228-1232, doi: 10.1109/ICESC57686.2023.10192928. 31. D. Kamalakkannan, D. Menaga, S. Shobana, K. V. Daya Sagar, R. Rajagopal & Mohit Tiwari (2023) A Detection of Intrusions Based on Deep Learning, Cybernetics and Systems, DOI: 10.1080/01969722.2023.2175134. 32. Manivannan R, Venkateshwaran G, Sivakumar S, Kumar MH, Jacob MS. Privacy-Preserving Image Storage on Cloud Using An Unified Cryptographic Authentication Scheme. Salud, Ciencia y Tecnología - Serie de Conferencias 2024; 3:609 . 33. Manivannan R, Venkateshwaran G, Sivakumar S, Kumar MH, Jacob MS. Privacy-Preserving Image Storage on Cloud Using An Unified Cryptographic Authentication Scheme. Salud, Ciencia y Tecnología - Serie de Conferencias 2024; 3:609 . 34. Journal of Autonomous Intelligence (2024) Volume 7 Issue 1 doi: 10.32629/jai.v7i1.734,Deep learning-based cancer disease classification using Gene Expression Data, J. Dafni Rose*,K. Vijayakumar, D. Menaga