AN EXTENDED UTAUT2 MODEL INTEGRATING TRUST AND REGULATORY COMPLIANCE FOR TECHNOLOGY ACCEPTANCE IN THE BANKING SECTOR OF KARACHI, PAKISTAN
Keywords:
Banking Sector, Artificial Intelligence, Digital Banking, Applicant Tracking Systems (ATS)Abstract
This thesis investigates the impact of UTAUT2 model integrating trust and regulatory compliance for technology acceptance in the banking sector of Karachi. The aim of this work is to investigate what kind of challenges are encountered in the development of banking systems in the early stages of the development process and to find out whether the factors causing the challenges can be identified. Whether solutions can be developed for these root causes that will improve the quality of the early stages of the development process. The implementation of artificial intelligence-based features and the factors affecting the implementation and the change process required by artificial intelligence. The study used an online survey, which is part of a quantitative research method. The statistics have been gathered from a sample of 150 from the HR expert-focused population. The Smart PLS software has been used to analyses the data and behavior of the operations. Only by being aware of the different aspects of the business environment and collecting the necessary information about them can realistic development visions be designed and turned into projects.
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