Enhancing Productivity: Artificial Intelligence’s Effect on Productivity of Nepalese Large-Scale Organizations

Abstract

The primary issue of the study is to explore the effect of AI integration, user interface, user experience and quality on the productivity of the employees working in large scale organizations in Nepal. The aim of this investigation was to assess the impact of artificial intelligence (AI) on employee productivity in Nepalese organizations. The study assesses AI's effect on productivity, that may address the lack of empirical evidence in Nepal. The information was gathered using five-point Likert scale questionnaires administered online. The sample size for the study was 85. The data was analyzed using SPSS software. To explore the direct effect, indirect effect, and total effect of moderating variables, a process tool in SPSS developed by Andrew F. Hayes was used. The findings revealed that quality and AI integration had positive and significant effect on productivity whereas AI user experience and user interface had insignificant effect on employee productivity. The positive correlation between AI integration and productivity signifies the need for organizations to embrace seamless AI adoption. By integrating AI effectively into their workflows, they can streamline processes, harness data-driven insights, and ultimately enhance productivity.