Factors affecting end-user satisfaction in erp environment: Empirical evidence from Vietnam

Abstract

In the context that ERP enterprise resource planning systems are gradually becoming popular, the need for increased scientific research on aspects of corporate governance related to the application of ERP systems has arisen. In recent years, there has been an increasing focus on integrating emerging technologies with ERP applications. Artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) have been integrated into ERP systems to enhance automation, decision-making, and efficiency. This study follows the above trend, focusing on research on factors affecting the perceived work results of end users using ERP systems. Based on related theories, preliminary research has examined the scale of research concepts including perceived end-user work results, compatibility between tasks and technology, and accounting benefits. due to ERP application, perceived usefulness of the ERP system and job satisfaction of end users. Using qualitative and quantitative research methods, combined with the use of Smart PLS analysis tool with 345 survey samples, research results show the same direction of impact of testing factors. The research results provide more basis for understanding job satisfaction for researchers and solutions aimed at improving employee satisfaction for businesses.