Barriers to the Application of Artificial Intelligence Tools in Construction Project Monitoring and Supervision in Enugu State, Nigeria

Abstract

The study identified the barriers to the application of artificial intelligence tools in construction project monitoring and supervision in Enugu State, Nigeria. The study adopted a descriptive survey. The study was carried out in the capital city of Enugu State, Nigeria. The population for the study was 250 which were made up of 95 building construction managers and 155 building construction site supervisors. The entire population was used as the sample size because it was manageable for the study. Structured questionnaire was developed by the researchers and used for data collection. The items were based on a rating scale Strongly Agree (SA), Agree (A), Undecided (UD), Disagree (D), Strongly Disagree (SD) with values of 5, 4, 3, 2, and 1 respectively. The instruments were face validated by three experts from the Department of Industrial Technical Education, University of Nigeria, Nsukka. The experts made some inputs that were integrated to improve the final copy of the instrument. Reliability of the study was determined using Cronbach Alpha. The instrument had a reliability coefficient of 0.78. Mean was used to answer the research questions while t-test will be used to test the hypothesis at a level of significance 0.05. The study recommends that it is necessary to arrange seminars, workshops, and conferences to enlighten these experts about the advantages of using AI tools on construction sites.