Efficient management of present corrupted and bureaucratic traffic system: Application of generative artificial intelligence (GAI) in government service

The application of generative artificial intelligence (GAI) in traffic management within developing countries such as Bangladesh presents significant challenges. This exploratory study aims to identify the factors that may influence the adoption of GAI for traffic control and the development of an efficient traffic management system in Bangladesh, explored primarily through the challenges faced in Dhaka. Dhaka being the capital and most densely populated city in Bangladesh, it is the area where traffic management faces the largest amount of challenges. The current traffic system in Dhaka is one which is manually operated by the traffic police. To this end, it employs a mixed-methods approach, beginning with a qualitative study followed by a quantitative investigation. The research identifies seven significant variables: personal financial interest (PFI), perceived uncertainty (PUC), perceived performance (PPF), supporting resources (SRS), perceived social influence (PSI), perceived effort and engagement (PEE), and perceived risk (PRK). This study addresses a contemporary, real-world issue with substantial value for academics, practitioners, and policymakers. For individuals seeking to understand behavioral attitudes toward the application of GAI in professional contexts, as well as the potential barriers and motivating factors, the findings offer valuable insights.