Ensuring the Quality of AI integrated Smart Contracts in Sri Lankan Construction Industry

Abstract

Artificial Intelligence (AI) integrated Smart Contracts have been evolving within the construction industry globally and have already been attracted the focus of the Sri Lankan construction industry. With the long-term adaptability to the traditional system, construction professionals have a dedicative responsibility to achieve the expected quality outcomes with the modern orientations. This study attempts to evaluate the challenges faced in ensuring the effectiveness and quality of AI integrated smart contracts in Sri Lankan construction industry; focusing on key areas: knowledge and adaptability, cost and investment, legal framework, technical and infrastructure facilities and quality assurance and control. It also provides recommendations to overcome the most severe challenges. The primary data collection was done through questionnaire survey distributed within the professionals experienced in Project Management in Sri Lankan construction projects both in government and private sector and a quantitative analysis was done under Relative Important Index technique. The analysis identified the most severe challenges as a lack of knowledge and experience, reluctance to moving forward and difficulty in assessing physical factors. Quality assurance and control was identified as the most challenging sector. Improving the knowledge of smart contracts by enhancing expertise on their implementation and maintenance, government interference in promoting, standardization of adjoining sectors and implementation of moderate quality management techniques and practices will minimize the impact of the challenges and enable more effective performance under smart contracts handling by improving the quality and efficiency of construction industry in Sri Lanka.