Physchological factors, morale, motivation and human-Automation interaction on employee performance in aromatic chemical industry

As organizations increasingly adopt automation technologies to enhance productivity, understanding the impact of human-automation interaction on employee performance has become critical. This study examines the relationship between human-automation interaction and employee job performance within the aromatic chemical industry. Specifically, it explores the roles of psychological factors, employee morale, and motivation in shaping performance outcomes. Additionally, the study investigates the moderating effect of automation technical skills on these relationships. The primary objective is to assess how automation influences job performance, with a focus on the interaction between psychological variables and employee competencies. A quantitative approach was employed to collect data from employees at five leading aromatic chemical manufacturing companies through structured surveys and statistical analysis. The study began with a comprehensive review of the literature, followed by the distribution of questionnaires designed to assess various aspects of human-automation interaction and job performance. Data were analyzed using SPSS and SmartPLS software. The findings indicate that automation significantly enhances job performance by increasing efficiency, reducing errors, and boosting productivity. Furthermore, automation positively influences employee morale and motivation, with technical skills serving as a critical moderating variable in this relationship. However, the relationship between psychological factors and job performance was not significantly moderated by technical skills. Automation in the aromatic chemical industry contributes to improved job performance, primarily by enhancing employee morale and motivation. While technical skills are essential for optimizing the benefits of automation, their influence on psychological factors appears limited. The study highlights the importance of continuous training and development to equip employees with the skills necessary to succeed in increasingly automated work environments. Future research should examine the long-term effects of automation on employee well-being and produ