{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T16:59:00Z","timestamp":1780592340927,"version":"3.54.1"},"reference-count":63,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T00:00:00Z","timestamp":1754611200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Projects play a vital role in achieving organizational success, where artificial intelligence (AI) has a transforming impact in project management (PM). The integration of AI techniques into PM practices has the potential to significantly improve project success rates and enable more effective project management. This article adopted a systematic literature review (SLR) methodology, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and employing a content analysis strategy to review 61 peer-reviewed academic journal articles published between 2015 and 2025 in the Web of Science and Scopus. This study investigates the key project success dimensions influenced by AI throughout the project lifecycle, and identifies the AI sub-fields and algorithms employed in relation to project success, where time and cost are found to be the most significantly affected factors in project success. Machine learning (ML), along with its corresponding algorithms, emerged as the most frequently applied AI subfield. This study overviews key AI-influenced project success factors and the main AI subfields and algorithms in recent literature, providing actionable insights for diverse project stakeholders aiming to enhance outcomes through AI. Limitations, including the lack of industry or regional focus, exclusion of project management process groups, and omission of gray literature, were also acknowledged, which suggest valuable directions for future research.<\/jats:p>","DOI":"10.3390\/info16080682","type":"journal-article","created":{"date-parts":[[2025,8,8]],"date-time":"2025-08-08T15:30:52Z","timestamp":1754667052000},"page":"682","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Artificial Intelligence in Project Success: A Systematic Literature Review"],"prefix":"10.3390","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-3350-070X","authenticated-orcid":false,"given":"Xiaoyi","family":"Su","sequence":"first","affiliation":[{"name":"Faculty of Economics and Management, National University of Malaysia, Bangi 43600, Selangor, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9759-7381","authenticated-orcid":false,"given":"Abu Hanifah","family":"Ayob","sequence":"additional","affiliation":[{"name":"Faculty of Economics and Management, National University of Malaysia, Bangi 43600, Selangor, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,8,8]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Lewis, H.R. (2021). Ideas That Created the Future: Classic Papers of Computer Science, MIT Press.","DOI":"10.7551\/mitpress\/12274.001.0001"},{"key":"ref_2","first-page":"12","article-title":"A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence, August 31, 1955","volume":"27","author":"McCarthy","year":"2006","journal-title":"AI Mag."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.artint.2014.12.006","article-title":"Wanted: Collaborative intelligence","volume":"221","author":"Epstein","year":"2015","journal-title":"Artif. Intell."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1177\/0008125619864925","article-title":"A Brief History of Artificial Intelligence: On the Past, Present, and Future of Artificial Intelligence","volume":"61","author":"Haenlein","year":"2019","journal-title":"Calif. Manag. Rev."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1007\/s11846-023-00696-z","article-title":"The GenAI is out of the bottle: Generative artificial intelligence from a business model innovation perspective","volume":"18","author":"Kanbach","year":"2024","journal-title":"Rev. Manag. Sci."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"100465","DOI":"10.1016\/j.jik.2024.100465","article-title":"Mapping the conceptual structure of innovation in artificial intelligence research: A bibliometric analysis and systematic literature review","volume":"9","author":"Obreja","year":"2024","journal-title":"J. Innov. Knowl."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"5","DOI":"10.5465\/amj.2022.0426","article-title":"When and How Artificial Intelligence Augments Employee Creativity","volume":"67","author":"Jia","year":"2024","journal-title":"Acad. Manag. J."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1007\/s42524-023-0289-6","article-title":"ChatGPT, AI-generated content, and engineering management","volume":"11","author":"Yu","year":"2024","journal-title":"Front. Eng. Manag."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1200","DOI":"10.1108\/IJLSS-05-2021-0091","article-title":"Quality 4.0\u2014An evolution of Six Sigma DMAIC","volume":"13","author":"Escobar","year":"2022","journal-title":"Int. J. Lean Six Sigma"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"121598","DOI":"10.1016\/j.techfore.2022.121598","article-title":"How AI revolutionizes innovation management\u2014Perceptions and implementation preferences of AI-based innovators","volume":"178","author":"Hutter","year":"2022","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"120392","DOI":"10.1016\/j.techfore.2020.120392","article-title":"Artificial intelligence and innovation management: A review, framework, and research agenda","volume":"162","author":"Haefner","year":"2021","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_12","first-page":"79","article-title":"Artificial Intelligence and its Application in Different Areas","volume":"4","author":"Pannu","year":"2015","journal-title":"Int. J. Eng. Innov. Technol."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Kerzner, H. (2017). The Changing Landscape of Project Management. Project Management Metrics, KPIs, and Dashboards, John Wiley & Sons, Ltd.. Chapter 1.","DOI":"10.1002\/9781119427599"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/S0263-7863(01)00067-9","article-title":"The \u201creal\u201d success factors on projects","volume":"20","year":"2002","journal-title":"Int. J. Proj. Manag."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"164","DOI":"10.1016\/0263-7863(88)90043-9","article-title":"Measurement of project success","volume":"6","year":"1988","journal-title":"Int. J. Proj. Manag."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1016\/j.proeng.2017.08.048","article-title":"Project Management Success Factors","volume":"196","author":"Sjekavica","year":"2017","journal-title":"Procedia Eng."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Baker, B.N., Murphy, D.C., and Fisher, D. (1997). Factors Affecting Project Success. Project Management Handbook, John Wiley & Sons, Ltd.. Chapter 35.","DOI":"10.1002\/9780470172353.ch35"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1002\/pmj.20137","article-title":"Project success as a topic in project management journals","volume":"40","author":"Ika","year":"2009","journal-title":"Proj. Manag. J."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"114776","DOI":"10.1016\/j.eswa.2021.114776","article-title":"A knowledge-based risk management tool for construction projects using case-based reasoning","volume":"173","author":"Okudan","year":"2021","journal-title":"Expert Syst. Appl."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"101474","DOI":"10.1016\/j.aei.2021.101474","article-title":"Applications of machine learning to BIM: A systematic literature review","volume":"51","author":"Zabin","year":"2022","journal-title":"Adv. Eng. Inform."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"103143","DOI":"10.1016\/j.advengsoft.2022.103143","article-title":"Using AI to develop a framework to prevent employees from missing project deadlines in software projects - case study of a global human capital management (HCM) software company","volume":"170","author":"Sheoraj","year":"2022","journal-title":"Adv. Eng. Softw."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"04015070","DOI":"10.1061\/(ASCE)CP.1943-5487.0000550","article-title":"Smart Construction Objects","volume":"30","author":"Niu","year":"2016","journal-title":"J. Comput. Civ. Eng."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Bushuyev, S., Chumachenko, I., Galkin, A., Bushuiev, D., and Dotsenko, N. (2025). Sustainable Development Projects Implementing in BANI Environment Based on AI Tools. Sustainability, 17.","DOI":"10.3390\/su17062607"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Agrawal, A., Gans, J., and Goldfarb, A. (2019). 4. The Impact of Artificial Intelligence on Innovation: An Exploratory Analysis. The Economics of Artificial Intelligence: An Agenda, University of Chicago Press.","DOI":"10.7208\/chicago\/9780226613475.001.0001"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.infoecopol.2019.05.001","article-title":"Exploring the impact of artificial Intelligence: Prediction versus judgment","volume":"47","author":"Agrawal","year":"2019","journal-title":"Inf. Econ. Policy"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1177\/1094670517752459","article-title":"Artificial Intelligence in Service","volume":"21","author":"Huang","year":"2018","journal-title":"J. Serv. Res."},{"key":"ref_27","first-page":"732","article-title":"Application of machine learning to limited datasets: Prediction of project success","volume":"27","author":"Bang","year":"2022","journal-title":"J. Inf. Technol. Constr."},{"key":"ref_28","first-page":"1995","article-title":"Predicting the Construction Quality of Projects by Using Hybrid Soft Computing Techniques","volume":"142","author":"Fan","year":"2025","journal-title":"Comput. Model. Eng. Sci."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Fernandes, D., Garg, S., Nikkel, M., and Guven, G. (2024). A GPT-Powered Assistant for Real-Time Interaction with Building Information Models. Buildings, 14.","DOI":"10.3390\/buildings14082499"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"17","DOI":"10.22215\/timreview\/1471","article-title":"Can Artificial Intelligence be a Critical Success Factor of Construction Projects?: Project practitioners\u2019 perspectives","volume":"11","author":"Kumar","year":"2021","journal-title":"Technol. Innov. Manag. Rev."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"253","DOI":"10.35882\/jeeemi.v7i2.492","article-title":"Swarm Intelligence-Based Functional Link Fuzzy Neural Estimator for Software Development Effort Estimation","volume":"7","author":"Benala","year":"2025","journal-title":"J. Electron. Electromed. Eng. Med Inform."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1007\/s13218-023-00816-7","article-title":"Zauberzeug Learning Loop: A no-code AI Platform","volume":"37","author":"Glahe","year":"2023","journal-title":"KI-K\u00fcnstliche Intell."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1108\/CI-08-2020-0139","article-title":"Machine learning for the identification of competent project managers for construction projects in Nepal","volume":"23","author":"Karki","year":"2023","journal-title":"Constr. Innov."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"114000","DOI":"10.1016\/j.dss.2023.114000","article-title":"Decision support systems in crowdfunding: A fuzzy cognitive maps (FCM) approach","volume":"173","year":"2023","journal-title":"Decis. Support Syst."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"e37833","DOI":"10.2196\/37833","article-title":"Implementation of Machine Learning Pipelines for Clinical Practice: Development and Validation Study","volume":"10","author":"Kanbar","year":"2022","journal-title":"JMIR Med. Inform."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"213619","DOI":"10.1109\/ACCESS.2020.3040169","article-title":"Systems Thinking in Software Projects-an Artificial Neural Network Approach","volume":"8","author":"Mitrovic","year":"2020","journal-title":"IEEE Access"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"n71","DOI":"10.1136\/bmj.n71","article-title":"The PRISMA 2020 statement: An updated guideline for reporting systematic reviews","volume":"372","author":"Page","year":"2021","journal-title":"BMJ"},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Hizam-Hanafiah, M., Soomro, M., and Abdullah, N. (2020). Industry 4.0 Readiness Models: A Systematic Literature Review of Model Dimensions. Information, 11.","DOI":"10.3390\/info11070364"},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G., and PRISMA Group (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med., 6.","DOI":"10.1371\/journal.pmed.1000097"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1267","DOI":"10.1007\/s42107-023-00842-8","article-title":"Enhancing accuracy in cost estimation for fa\u00e7ade works: Integration of case-based reasoning, random forest, and artificial neural network techniques","volume":"25","author":"Long","year":"2024","journal-title":"Asian J. Civ. Eng."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Ros\u0142on, J. (2022). Materials and Technology Selection for Construction Projects Supported with the Use of Artificial Intelligence. Materials, 15.","DOI":"10.3390\/ma15041282"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"3415","DOI":"10.1007\/s42107-024-00987-0","article-title":"Construction management multiple-objective trade-off problems using the flow direction algorithm (FDA)","volume":"25","author":"Son","year":"2024","journal-title":"Asian J. Civ. Eng."},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"Fadnes, F.S., Banihabib, R., and Assadi, M. (2023). Using Artificial Neural Networks to Gather Intelligence on a Fully Operational Heat Pump System in an Existing Building Cluster. Energies, 16.","DOI":"10.3390\/en16093875"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"112411","DOI":"10.1109\/ACCESS.2021.3103931","article-title":"The Application of Machine Learning to Consolidate Critical Success Factors of Lean Six Sigma","volume":"9","author":"Perera","year":"2021","journal-title":"IEEE Access"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"107621","DOI":"10.1016\/j.ijpe.2020.107621","article-title":"The impact of entrepreneurship orientation on project performance: A machine learning approach","volume":"226","author":"Sabahi","year":"2020","journal-title":"Int. J. Prod. Econ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"3613","DOI":"10.1007\/s10055-023-00813-z","article-title":"Identifying presence of cybersickness symptoms using AI-based predictive learning algorithms","volume":"27","author":"Zaidi","year":"2023","journal-title":"Virtual Real."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"50","DOI":"10.1080\/08956308.2021.1942646","article-title":"Deploying AI for New Product Development Success","volume":"64","author":"Zhang","year":"2021","journal-title":"Res. Technol. Manag."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Silveira, G.D.N., Viana, R.F., Lima, M.J., Kuhn, H.C., Crovato, C.D.P., Ferreira, S.B., Pesenti, G., Storck, E., and Righi, R.D.R. (2020). I4.0 Pilot Project on a Semiconductor Industry: Implementation and Lessons Learned. Sensors, 20.","DOI":"10.3390\/s20205752"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Shafiabady, N., Hadjinicolaou, N., Din, F.U., Bhandari, B., Wu, R.M.X., and Vakilian, J. (2023). Using Artificial Intelligence (AI) to predict organizational agility. PLoS ONE, 18.","DOI":"10.1371\/journal.pone.0283066"},{"key":"ref_50","first-page":"291","article-title":"Predicting the Success of Projects Using Evolutionary Hybrid Fuzzy Neural Network Method in Early Stages","volume":"25","author":"Fasanghari","year":"2015","journal-title":"J. Mult.-Valued Log. Soft Comput."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.scico.2018.01.003","article-title":"An ontology-based approach with which to assign human resources to software projects","volume":"156","year":"2018","journal-title":"Sci. Comput. Program."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"25","DOI":"10.14257\/ijmue.2015.10.6.04","article-title":"An Optimized Resolution for Software Project Planning with Improved Max-Min Ant System Algorithm","volume":"10","author":"Han","year":"2015","journal-title":"Int. J. Multimed. Ubiquitous Eng."},{"key":"ref_53","first-page":"18","article-title":"AI Effectiveness and Risk Assessment of Investments in High-Risk Start-Ups","volume":"32","author":"Ivanov","year":"2024","journal-title":"Strateg. Policy Sci. Educ.-Strateg. Na Obraz. I Nauchnata Polit."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"100589","DOI":"10.1016\/j.jik.2024.100589","article-title":"A dynamic information technology capability model for fostering innovation in digital transformation","volume":"9","author":"Yoshikuni","year":"2024","journal-title":"J. Innov. Knowl."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"665","DOI":"10.1002\/smr.1792","article-title":"Integrating firefly algorithm in artificial neural network models for accurate software cost predictions","volume":"28","author":"Kaushik","year":"2016","journal-title":"J. Softw. Evol. Process"},{"key":"ref_56","first-page":"38","article-title":"Role of Stakeholders in Project Success: Theoretical Background and Approach","volume":"11","author":"Dwivedi","year":"2021","journal-title":"Int. J. Financ. Insur. Risk Manag."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1126\/science.aaa8685","article-title":"Advances in natural language processing","volume":"349","author":"Hirschberg","year":"2015","journal-title":"Science"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/j.eswa.2017.12.020","article-title":"The use of machine learning algorithms in recommender systems: A systematic review","volume":"97","author":"Portugal","year":"2018","journal-title":"Expert Syst. Appl."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1007\/s13218-018-0564-6","article-title":"A Brief Survey on Forgetting from a Knowledge Representation and Reasoning Perspective","volume":"33","author":"Eiter","year":"2019","journal-title":"KI-K\u00fcnstliche Intell."},{"key":"ref_60","unstructured":"Bezdek, J.C. (1994). What Is Computational Intelligence?, Bureau of Mines. Technical Report CONF-9410335."},{"key":"ref_61","first-page":"677","article-title":"An Overview of Computational Intelligence","volume":"3","author":"Rao","year":"2016","journal-title":"Int. J. Innov. Sci. Eng. Technol."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Yao, C.J., Chen, X.H., Wang, X.P., and Zhou, Y.T. (2009, January 10\u201311). Research on CBR-Based Hybrid Intelligent System\u2019s Application in Equipment Intelligent Maintenance. Proceedings of the 2009 Second International Conference on Intelligent Computation Technology and Automation, Changsha, China.","DOI":"10.1109\/ICICTA.2009.117"},{"key":"ref_63","unstructured":"Project Management Institute (2021). A Guide to the Project Management Body of Knowledge (PMBOK Guide), Project Management Institute. [7th ed.]."}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/16\/8\/682\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T18:26:54Z","timestamp":1760034414000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/16\/8\/682"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,8]]},"references-count":63,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2025,8]]}},"alternative-id":["info16080682"],"URL":"https:\/\/doi.org\/10.3390\/info16080682","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,8]]}}}