ISSN: XXXX-XXXX

The Impact of Artificial Intelligence on the Evolution of Agile Project Management Techniques

Abstract

This study discusses the integration of Artificial Intelligence into agile project management and its outcomes. It goes further to look at how AI is enhancing collaboration, automating work, improving decision-making, and optimizing resource utilization and dealing with challenges in agile frameworks. Using a qualitative research methodology, it collects information from case studies and expert interviews. Findings show how AI can facilitate efficiency and agility in agile project management but creates integration challenges in terms of cultural resistance and the need for retraining. This study highlights AI's transformative impact on the practices of project management and has implications for theory and practice in the field.

References

  1. Beck, K., & Fowler, M. (2001). Agile Software Development with Scrum. Prentice Hall.
  2. Dufresne, R., & McCaffrey, M. (2019). Artificial Intelligence in Project Management: Benefits, Challenges, and Trends. International Journal of Project Management, 37(3), 431-439.
  3. Fitzgerald, B., & Stol, K. J. (2017). Continuous software engineering and DevOps: A state-of-the-art survey. Software: Practice and Experience, 47(6), 665-688.
  4. Gunasekaran, A., & Ngai, E. W. T. (2004). Information systems in supply chain integration and management. European Journal of Operational Research, 159(2), 211-225.
  5. Goh, J. M., & Ang, L. H. (2020). AI-enhanced agile decision-making in project management. Journal of Management Information Systems, 37(4), 1069-1104.
  6. Hossain, L., & Kaur, A. (2018). AI in project management: Revolutionizing task management and collaboration. International Journal of Information Technology Project Management, 9(3), 59-76.
  7. Iqbal, H., & Qureshi, M. M. (2020). AI-driven task automation in agile project management: The future of project efficiency. Journal of Modern Project Management, 8(2), 14-25.
  8. Jain, R., & Singh, N. (2021). A comprehensive review of AI in project management: Current trends and future directions. International Journal of Project Management, 39(4), 348-363.
  9. Kaur, A., & Joshi, S. (2020). Resource optimization using AI technologies in agile project management. Journal of Resource Management, 15(1), 45-58.
  10. Liao, S. H., & Wang, W. (2017). Artificial intelligence and agile project management: Challenges and future outlook. International Journal of Computer Applications in Technology, 55(2), 105-115.
  11. Mohamed, M., & Pannu, K. (2020). Integrating AI in agile methodologies: A strategic perspective. International Journal of Information Systems, 19(4), 241-259.
  12. Nikolai, P., & Sundararajan, V. (2020). Overcoming AI adoption challenges in project management. Journal of Technology Innovation, 12(3), 122-135.
  13. O'Grady, P., & Jones, D. (2019). AI in agile project management: A case study on improving decision-making. Project Management Journal, 50(1), 112-128.
  14. Palmer, R. E., & Wang, Y. (2018). Enhancing collaboration with AI in agile project teams. Journal of Agile Software Development, 21(1), 25-39.
  15. Popp, M., & Choi, C. (2020). Decision support systems and artificial intelligence in project management. Journal of Decision Systems, 29(4), 318-336.
  16. Dorota Jelonek, Narendra Kumar and Ilona Paweloszek(2024): Artificial Intelligence Applications in Brand Management, S I L E S I A N U N I V E R S I T Y O F T E C H N O L O G Y P U B L I S H I N G H O U S E SCIENTIFIC PAPERS OF SILESIAN UNIVERSITY OF TECHNOLOGY, Serial No 202, pp 153-170, http://managementpapers.polsl.pl/; http://dx.doi.org/10.29119/1641-3466.2024.202.10
  17. Narendra Kumar (2024): Research on Theoretical Contributions and Literature-Related Tools for Big Data Analytics, Sustainable Innovations in Management in the Digital Transformation Era: Digital Management Sustainability, Pages 281 – 288, January 2024, DOI 10.4324/9781003450238-28
  18. R. Vettriselvan, C. Vijai, J. D. Patel, S. Kumar. R, P. Sharma and N. Kumar (2024): "Blockchain Embraces Supply Chain Optimization by Enhancing Transparency and Traceability from Production to Delivery," International Conference on Trends in Quantum Computing and Emerging Business Technologies, Pune, India, 2024, pp. 1-6, doi: 10.1109/TQCEBT59414.2024.10545308.
  19. A. Dodamani, M. A. Sultan Ghori, J. D. Patel, S. K. R, D. Dharamvir and N. Kumar (2024): "Embracing Uncertainty and Approximations for Intelligent Problem-Solving with Soft Computing," International Conference on Trends in Quantum Computing and Emerging Business Technologies, Pune, India, 2024, pp. 1-6, doi: 10.1109/TQCEBT59414.2024.10545184.
Download PDF

How to Cite

K K Lavania, (2025-02-21 13:44:37.236). The Impact of Artificial Intelligence on the Evolution of Agile Project Management Techniques. Abhi International Journal of Artificial Intelligence Applications in Management, Volume gpTBiZxniwwd8NV9pezs, Issue 1.