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This study aims to analyze the influence of motivation, incentives, and work discipline on employee performance in the Finance Department of Bandung Adventist Hospital. The method used is multiple linear regression analysis to determine the relationship between independent variables (motivation, incentives, and work discipline) and the dependent variable (employee performance). The analysis results indicate that motivation has a significant and positive effect on employee performance, with a regression coefficient of 0.326 and a significance level of 0.009, supporting the hypothesis that motivation plays an important role in enhancing employee productivity and commitment. Conversely, the incentive and work discipline variables show a negative and non-significant effect on performance, with coefficients of -0.162 and -0.208, respectively. This suggests that the current incentive and work discipline practices are not fully effective or do not meet employee expectations. Simultaneously, the three independent variables have a significant effect on employee performance, with the F-test showing a significance level of 0.009. This study recommends that management prioritize motivation improvement through training programs, rewards, and the development of a supportive work environment. Additionally, it is essential to evaluate the incentive system and adopt a more flexible disciplinary approach to align with employee needs and expectations.

Recent developments in information and communication technology such as artificial intelligence (AI) provide new opportunities to increase the efficiency and accuracy of performance assessment. The impact of the COVID-19 pandemic and the shift to a remote work model has created a need for technology solutions to unify and transmit the performance of employees working from multiple locations. The use of technology in performance management evaluations may raise concerns regarding data security and privacy, inconvenience or resistance to employees or stakeholders. Not all employees or managers have the same level of skill and understanding of the technology being implemented and it requires a high initial investment in maintenance and upgrades. This article provides an understanding of how technology can be applied in management performance evaluation and its benefits in increasing efficiency, objectivity and accuracy in employee assessment as well as providing recommendations for innovation and changes in the use of technology in management performance evaluation. The methodology used is a qualitative method by collecting data from various information sources. Some of the positive impacts of implementing technology in performance evaluation management are increased efficiency and productivity, real-time feedback, increased objectivity and fairness, more accurate and measurable performance monitoring. The technologies that can be used are Go Talent, Feedback and Recognition Systems, Analytics Technology, Application-Based Performance Evaluation Systems, Use of AI for Objective Evaluation and Chabots for Feedback.

This research aims to analyze the influence of leadership style and performance evaluation on employees at PT. Shopee Indonesia with a qualitative approach. The research method uses analysis of documents, articles, websites and journals related to leadership policies and employee performance evaluation. Leadership style, especially transformational, has a significant positive influence on employee motivation and performance at PT. Shopee Indonesia. Performance evaluation has also been shown to play a role in shaping employee perceptions of recognition for their contributions. This provides insight for company management in optimizing leadership practices and performance evaluation systems to improve work quality and employee productivity.