Role of Artificial Intelligence on Agile Planning and Organizational Performance in the ICT Industry

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Published: 2022-12-31

Page: 581-586


Farhang Salehi *

1000072650 Ontario (Rosha), Toronto, Canada.

*Author to whom correspondence should be addressed.


Abstract

This study aims to emphasize the important role of artificial intelligence in the use of agile methodologies and how it can increase the outcome of agile planning and its direct impact on organizational performance in the ICT industry. The rise of artificial intelligence (AI) has the potential to revolutionize project management practices. Project management has a large socio-technical component with many uncertainties arising from the diversity of human aspects. Customer needs, developer performance, team dynamics. AI assists project managers and team members by automating high-volume repetitive tasks, enabling project analysis for estimation and risk prediction, making actionable recommendations, and even making decisions. AI has the potential to be a game changer in project management as it helps accelerate productivity and increase project success rates. This white paper shows how AI technology can support the management of agile projects that are becoming increasingly common in the industry and its impact on organizational performance. Agile planning is a project management style with a step-by-step, iterative approach. Instead of a detailed plan at the beginning of the project - which is usually related to the product - Agile leaves room for changes in requirements throughout the project and relies on constant feedback from end users. Over a period of time, cross-functional teams work to iterate the products and achieve objectives and key results by organizing work into value-creation, focused backlogs. The ultimate goal of each iteration is to produce a working project. Lack of proper project management and errors in the development phase can destroy even the most promising ideas. This article studies the importance of using Artificial intelligence in Agile planning and how it can increase organizational performance.

Keywords: Artificial intelligence, agile planning, project management, organizational performance


How to Cite

Salehi, F. (2022). Role of Artificial Intelligence on Agile Planning and Organizational Performance in the ICT Industry. Asian Journal of Economics, Finance and Management, 4(1), 581–586. Retrieved from https://globalpresshub.com/index.php/AJEFM/article/view/1733

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References

Dam HK, Tran T, Grundy J, Ghose A, Kamei Y. Towards effective AI-powered agile project management. In 2019 IEEE/ACM 41st international conference on software engineering: new ideas and emerging results (ICSE-NIER). IEEE. 2019;41-44.

Abdollahbeigi B, Salehi F. The role of information and communication industry (ICT) in the reduction of greenhouse gas emissions in Canada. International Research Journal of Business Studies. 2021;13(3):307-315.

Niederman F. Project management: openings for disruption from AI and advanced analytics. Information Technology & People; 2021.

Bhavsar K, Shah V, Gopalan S. Business Process Reengineering: A Scope of Automation in Software Project Management Using Artificial Intelligence. International Journal of Engineering and Advanced Technology (IJEAT). 2019;9(2): 3589-3595.

Munir M. How artificial intelligence can help project managers. Global Journal of Management and Business Research; 2019.

Abdollahbeigi B, Salehi F. The role of electronic government in Malaysian companies. International Journal of Economics, Commerce and Management Research Studies. 2018;1(4).

Salehi F, Abdollahbeigi B, Sajjady S. Impact of effective IT governance on organizational performance and economic growth in Canada. Asian Journal of Economics, Finance and Management. 2021;14-19.

Abdollahbeigi B, Salehi F. The effect of external environment characteristics on effective IT governance through organizational performance. Journal of Technology Management and Technopreneurship (JTMT). 2019;7(1): 19-28.

Salehi F, Abdollahbeigi B, Najafabadi MK, Sajjady S. Role of organizational behavior maturity in the business success of the start-ups. Asian Journal of Sociological Research. 2021;30-34.

Ong S, Uddin S. Data science and artificial intelligence in project management: the past, present and future. The Journal of Modern Project Management. 2020;7(4).

Abdollahbeigi B, Salehi F. Knowledge quality and non‐financial performance—A Malaysian experience. Knowledge and Process Management. 2022;29(1):12-22.

Corbucci D. Agile Project Management. Overview delle principali metodologie Agile quali Scrum, XP, DSDM, Lean Software Development e guida all'esame di certificazione PMI-ACP®: Overview delle principali metodologie Agile quali Scrum, XP, DSDM, Lean Software Development e guida all'esame di certificazione PMI-ACP; 2015.

Abdollahbeigi B, Salehi F. A Study of Strategic Alliance Success Factors. International Journal of Economics and Management Systems. 2021;6.

Papadakis E, Tsironis L. Towards a hybrid project management framework: A systematic literature review on traditional, agile and hybrid techniques. The Journal of Modern Project Management. 2020;8(2).

Hayat F, Rehman AU, Arif KS, Wahab K, Abbas M. The influence of agile methodology (Scrum) on software project management. In 2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD). IEEE. 2019;145-149.

Maxim BR, Kaur R, Apzynski C, Edwards D, Evans E. An agile software engineering process improvement game. In 2016 IEEE Frontiers in education Conference (FIE). IEEE. 2016;1-4.

Münch T. AI, Agile, and Organizations. In System Architecture Design and Platform Development Strategies. Springer, Cham. 2022;155-183.

Wallach W, Marchant G. Toward the Agile and Comprehensive International Governance of AI and Robotics [point of view]. Proceedings of the IEEE. 2019; 107(3):505-508.

Bhavsar K, Shah V, Gopalan S. Scrum: An agile process reengineering in software engineering. International Journal of Innovative Technology and Exploring Engineering. 2020;9(3):840-848.

Bryndin E. Formation and management of Industry 5.0 by systems with artificial intelligence and technological singularity. American Journal of Mechanical and Industrial Engineering. 2020;5(2):24-30.

Allal-Chérif O, Simón-Moya V, Ballester ACC. Intelligent purchasing: How artificial intelligence can redefine the purchasing function. Journal of Business Research. 2021;124:69-76.

McGrath J, Košťálová J. Project management trends and new challenges 2020+. Hradec Economic Days. 2020; 10(Part 1).

Naz F, Kumar A, Majumdar A, Agrawal R. Is artificial intelligence an enabler of supply chain resiliency post COVID-19? An exploratory state-of-the-art review for future research. Operations Management Research. 2021;1-21.

Panesar GS, Venkatesh D, Rakhra M, Jairath K, Shabaz M. Agile software and business development using artificial intelligence. Annals of the Romanian Society for Cell Biology. 2021;1851-1857.

Darko A, Chan AP, Adabre MA, Edwards DJ, Hosseini MR, Ameyaw EE. Artificial intelligence in the AEC industry: Scientometric analysis and visualization of research activities. Automation in Construction. 2020;112:103081.

Ilieva RY, Nikolov MA. The impact of AI & ML in agile production. In 2019 X National Conference with International Participation (ELECTRONICA). IEEE. 2019;1-3.

Das S, Ali Z, Bandi SN, Bhagat A, Chandrakumar N, Kucheria P, Tipping B. Agile Systems Engineering in Building Complex AI Systems. In Engineering Artificially Intelligent Systems. Springer, Cham. 2021;192-208.

Freitag M, Hämmerle O. Agile guideline for development of smart services in manufacturing enterprises with support of artificial intelligence. In IFIP International Conference on Advances in Production Management Systems. Springer, Cham. 2020;645-652.

Cooper RG, Sommer AF. Agile–Stage-Gate for Manufacturers: Changing the Way New Products Are Developed Integrating Agile project management methods into a Stage-Gate system offers both opportunities and challenges. Research-Technology Management. 2018;61(2):17-26.

Uysal MP. Machine Learning and Data Science Project Management from an Agile Perspective: Methods and Challenges. In Contemporary Challenges for Agile Project Management. IGI Global. 2022;73-88.

Burgess A, Burgess A. Industrialising ai. The Executive Guide to Artificial Intelligence: How to identify and implement applications for AI in your organization. 2018;147-164.

Albuquerque F, Torres AS, Berssaneti FT. Lean product development and agile project management in the construction industry. Revista de Gestão; 2020.

Belani H, Vukovic M, Car Ž. Requirements engineering challenges in building AI-based complex systems. In 2019 IEEE 27th International Requirements Engineering Conference Workshops (REW). IEEE. 2019;252-255.

Dalcher D. The Evolution of Project Management Practice: from Programm es and Contrac ts to Benefits and Change. The Evolution of Project Management Practice: from Programm es and Contrac ts to Benefits and Change. 2019;46-46.

Jayashree S, Malarvizhi CAN, Abdollahbeigi B, Salehi F. A study on the effect of social media factors on product innovation through business performance. Journal of Advanced Research in Dynamical and Control Systems. 2019; 11(2):2318-2324.

Jayashree S, Malarvizhi CA, Abdollahbeigi B, Salehi F. The efficiency of e-commerce and social media on product innovation and business success. Advanced Science Letters. 2016;22(5-6):1411-1414.

Schrettenbrunnner MB. Artificial-intelligence-driven management. IEEE Engineering Management Review. 2020; 48(2):15-19.

Donepudi PK. Application of artificial intelligence in automation industry. Asian Journal of Applied Science and Engineering. 2018;7(1):7-20.

Sjödin D, Parida V, Palmié M, Wincent J. How AI capabilities enable business model innovation: Scaling AI through co-evolutionary processes and feedback loops. Journal of Business Research. 2021;134:574-587.

Mohiuddin Babu M, Akter S, Rahman M, Billah MM, Hack-Polay D. The role of artificial intelligence in shaping the future of Agile fashion industry. Production Planning & Control. 2022;1-15.

Belani H, Vukovic M, Car Ž. Requirements engineering challenges in building AI-based complex systems. In 2019 IEEE 27th International Requirements Engineering Conference Workshops (REW). IEEE. 2019;252-255.

Trad A, Kalpić D. Business Transformation Project’s Holistic Agile Management (BTPHAM). The Business & Management Review. 2022;13(1):103-120.