Challenges of Integrating Artificial Intelligence in Software Project Planning: A Systematic Literature Review

Author:

Mohammad Abdulghafour1ORCID,Chirchir Brian1

Affiliation:

1. School of Business, Economics and IT, University West, SE-46186 Trollhattan, Sweden

Abstract

Artificial intelligence (AI) has helped enhance the management of software development projects through automation, improving efficiency and enabling project professionals to focus on strategic aspects. Despite its advantages, applying AI in software development project management still faces several challenges. Thus, this study investigates key obstacles to applying artificial intelligence in project management, specifically in the project planning phase. This research systematically reviews the existing literature. The review comprises scientific articles published from 2019 to 2024 and, from the inspected records, 17 papers were analyzed in full-text form. In this review, 10 key barriers were reported and categorized based on the Technology–Organization–Environment (TOE) framework. This review showed that eleven articles reported technological challenges, twelve articles identified organizational challenges, and six articles reported environmental challenges. In addition, this review found that there was relatively little interest in the literature on environmental challenges, compared to organizational and technological barriers.

Publisher

MDPI AG

Reference22 articles.

1. Project Management Institute (2017). A Guide to the Project Management Body of Knowledge, Project Management Institute. [6th ed.].

2. Project Management Institute Sweden (2024). PMI, Sweden Chapter. Artificial Intelligence and Project Management: A Global Chapter-Led Survey 2024, Project Management Institute. Available online: https://www.pmi.org/-/media/pmi/documents/public/pdf/artificial-intelligence/community-led-ai-and-project-management-report.pdf?rev=bca2428c1bbf4f6792f521a95333b4df.

3. Taboada, I., Daneshpajouh, A., Toledo, N., and de Vass, T. (2023). Artificial Intelligence Enabled Project Management: A Systematic Literature Review. Appl. Sci., 13.

4. Dam, H.K., Tran, T., Grundy, J., Ghose, A., and Kamei, Y. (2019, January 25–31). Towards Effective AI-Powered Agile Project Management. Proceedings of the 2019 IEEE/ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER), Montreal, QC, Canada.

5. Hashfi, M.I., and Raharjo, T. (2023). Exploring the Challenges and Impacts of Artificial Intelligence Implementation in Project Management: A Systematic Literature Review. Int. J. Adv. Comput. Sci. Appl., 14.

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