Mequanint Birhan*
Mizan Tepi University, Ethiopia
*Corresponding Author: Mequanint Birhan, Mizan Tepi University, Ethiopia.
Received: December 26, 2023; Published: January 31, 2024
The primary issue of this study was to explore the effect of AI integration, user interface, user experience and quality on the productivity of the employees working in MSMEs in Ethiopia. The aim of this investigation was to assess the impact of artificial intelligence (AI) on employee productivity in Ethiopian MSMEs. It assesses AI implementation, integration, user experience, satisfaction, and perception of AI's effect on job performance, efficiency, and overall productivity, addressing a lack of empirical evidence in the region. The information was gathered using five-point Likert scale questionnaires, which were collected online. The sample size for the study was 185. The data was analyzed using SPSS software. To explore the direct effect, indirect effect, and total effect of moderating variables, it used a process tool in NCSS 2023. 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. To optimize productivity, organizations must ensure that their AI models are continually refined to deliver precise and reliable results. Investing in AI model development, validation, and ongoing improvement processes is crucial in this regard.
Keywords: AI; AI Content Quality; AI Integration; AI Interface; AI User Experience; Productivity
Citation: Mequanint Birhan. “Artificial Intelligence’s Effects on Enhancing Productivity".Acta Scientific Computer Sciences 6.2 (2024): 15-19.
Copyright: © 2024 Mequanint Birhan. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.