Completion Date
Summer 6-6-2025
Document Type
Thesis
Degree Name
Master of Science (MS)
Program or Discipline Name
Project Management
First Advisor
Dr. Thomas Wise
Second Advisor
Prof. Sarah Dyson
Abstract
Financial restructuring is a critical strategy for organizations navigating economic challenges, particularly during mergers and acquisitions (M&A). However, 61% of strategic initiatives fail due to ineffective knowledge transfer, communication barriers, and insufficient integration of advanced technologies like artificial intelligence (AI) (PMI, 2014; Durst & Zieba, 2019). This study explores the integration of project management (PM) methodologies and AI-driven tools to enhance financial restructuring outcomes. Through a quantitative analysis of 64 professionals across industries, the research identifies key challenges including cultural clashes (44%), communication barriers (43%), and lack of standardized processes (38%) while demonstrating AI's positive impact on knowledge transfer efficiency (*r* = 0.62, *p* < 0.05). AI-enhanced Project Management Offices (PMOs) outperformed traditional PMOs (M = 4.2 vs. 3.1), yet hybrid structures faced unexpected resistance. The findings underscore the need for balanced AI adoption, addressing both technological and human-centric barriers. This research contributes actionable frameworks for practitioners and advances theoretical discourse by merging Nonaka and Takeuchi’s (1995) knowledge creation theory with AI capability maturity models (Anderson & Martinez, 2023).
Recommended Citation
Agarwal, R. (2025). Integration of Artificial Intelligence and Project Management Techniques in Financial Restructuring. Retrieved from https://digitalcommons.harrisburgu.edu/dandt/70