The integration of Artificial Intelligence (AI) technology in project management in construction has the potential for enormous change in processes like planning, scheduling, costing, and risk analysis. The objective of this research is to examine the level of preparedness of construction firms to implement project management tools based on AI, focusing on the technological framework, manpower, finances, level of awareness, and perceived among other barriers. The study was conducted using a quantitative method whereby construction professionals from different firms were issued structured questionnaires. Responses were analyzed and the preparedness levels were evaluated using descriptive statistics such as frequency and percentage calculations. The results show that firms are increasingly aware of, and have moderate pertaining to, readiness infrastructure gaps, as a significant number of firms are already utilizing some form of digital tools. On the other hand, the lack of training for the workforce, the lack of financial resources, and cybersecurity as well as the integration concerns were key roadblocks. Even though a large percentage of firms expressed willingness to apply AI, systemic gaps constrained readiness. The study proposes strategic readiness gap interventions, such as governmental training programs, financial aid systems, pilot adoption initiatives, and cross-industry partnerships to guarantee success with the robotics integration.
Construction, AI, Project Management, Data Driven, Robotics
IRE Journals:
Carlos Umoru
"Assessing The Readiness of Construction Firms to Adopt AI-Based Project Management Tools" Iconic Research And Engineering Journals Volume 7 Issue 2 2023 Page 818-823
IEEE:
Carlos Umoru
"Assessing The Readiness of Construction Firms to Adopt AI-Based Project Management Tools" Iconic Research And Engineering Journals, 7(2)