AI-Driven Sustainable Project Management Framework
Bhattarai, Samir (2025)
Bhattarai, Samir
2025
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2025052615971
https://urn.fi/URN:NBN:fi:amk-2025052615971
Tiivistelmä
The integration of AI in project management has become imperative because organizations across the world are looking forward to environmental, social, and economic concerns. This thesis presents Artificial Intelligence (AI)’s transformative potential in promoting sustainable project management (SPM) and it does this by proposing a structured AI-driven framework. The research examines how AI technologies can support project planning, execution, and monitoring for setting them into the sustainability targets.
Quantitative research design is used in this study whereby primary data is collected using a structured online survey from 73 professionals in various industries. The study is grounded in a theoretical framework that connects AI awareness, tool usage, and prospects. These factors are investigated against key outcomes such as a willingness to adopt AI and perceived challenges using statistical tools of descriptive analysis, reliability tests, correlation, and regression analysis in SPSS.
The findings indicate that although AI is promising for enabling sustainable practices like optimization of use of resources, reduction in environmental footprints, and better decision making, the implementation’s success depends on practical experience with AI tools and positive future expectations.
Quantitative research design is used in this study whereby primary data is collected using a structured online survey from 73 professionals in various industries. The study is grounded in a theoretical framework that connects AI awareness, tool usage, and prospects. These factors are investigated against key outcomes such as a willingness to adopt AI and perceived challenges using statistical tools of descriptive analysis, reliability tests, correlation, and regression analysis in SPSS.
The findings indicate that although AI is promising for enabling sustainable practices like optimization of use of resources, reduction in environmental footprints, and better decision making, the implementation’s success depends on practical experience with AI tools and positive future expectations.