Yoberth Kornelius

Currently, leadership becomes the concern of studies in public organizations. However, studies on servant leadership and its impact on hospital performance are still limited. This study aims to identify the relationship and impact of servant leadership on organizational performance (hospital). A quantitative approach was used on a sample of 729 healthcare workers at the Undata Regional General Hospital in Palu. The sampling was based on the Slovin formula with an error rate of 5%, thus it involved 258 respondents. Further, the sample was selected using a random proportional sampling technique to represent each field in the hospital. The data were analyzed using descriptive statistics and simple linear regression analysis with hypothesis testing. The results of descriptive analysis on the servant leadership variable showed that the highest mean value is the item stating that leadership in the hospital has a thorough understanding of the organization and its goals. Meanwhile, the lowest is the item stating that leaders sacrifice their interests less to meet the needs of healthcare workers. In the organizational performance variable, the highest mean value is the item that states that healthcare workers can work effectively every working day, while the lowest is the item of patients complaining about healthcare procedures. Furthermore, the results of regression analysis through hypothesis testing showed that servant leadership has a significant effect on organizational performance of hospitals with a strong level of relationships.

This study aims to investigate the impact of social distancing policies on SMEs in Indonesia. It used a quantitative method with a survey design. Respondents were all SMEs in Indonesia that are affected by social distancing policies during the COVID-19 pandemic. It involved a total of 587 SME samples selected randomly. The data were collected through observations, questionnaires, and literature studies. The collected data were analyzed using descriptive statistics with SPSS software to determine the mean value. The result showed that social distancing policies affect SMEs during the COVID-19 pandemic. This is indicated by the decreasing income and demand for SMEs products, and even some have no income (mean values of 2.40) due to the social distancing policies. Besides, the policy’s impact is also shown in the increasing cost of raw materials and production costs due to supply chain problems (mean values of 4.79). The policy’s impact raises anxiety for SMEs to survive so that business actors change their plans by utilizing information technology (mean values of 4.81). This change is a strategy to survive due to the impact of the applied policies. Although social distancing policies affect SMEs’ survival during the pandemic, research findings show that SMEs in Indonesia did not terminate employment (mean values of 4.37) due to the presence of economic stimulus policies that helped SMEs survive and grow during the COVID-19 pandemic.