The central focus of the current study is to understand the impact of digital technology on sustainable practices in a utility sector within the UAE. The research examined whether AI, blockchain, and big data can improve sustainability in the company to completely understand how digital technologies influences sustainable practices in the county’s utility sector. Data were gathered using the survey data collection method for a quantitative review. The reliability of the data was examined using Cronbach’s Alpha, and the strength of the relationships between the variables was investigated using correlation analysis. The extent to which the adoption of AI, big data, and blockchain will influence sustainable practices in the utility sector within the UAE was investigated using regression analysis. Results showed that, according to the respondent in the utility sector, AI was the most effective in promoting sustainable practices. On the other hand blockchain and big data will have a moderate effectiveness in helping sustainable practices, less than artificial intelligence. Comparative analysis is not the focus of the study, though. As a result, it is discovered that while blockchain and big data will have somewhat moderate influence, AI will greatly impact sustainability in the utility sectors.
Engineering Management (ME)
Alsaleh, Abdulrahman Salem, "Impact of Digital Transformation on Achieving Sustainability in Utility Sector of UAE" (2023). Thesis. Rochester Institute of Technology. Accessed from