This study examines the factors influencing the performance of food estate projects in Indonesia, focusing on the roles of leadership, stakeholder engagement, institutional support, and project communication. A positivist research paradigm was adopted, employing a quantitative approach with Structural Equation Modeling (SEM-PLS) to test the hypotheses and analyze the relationships between these variables. The study found that leadership significantly impacts project performance, particularly through its influence on project communication, which serves as a key mediator. While stakeholder engagement did not show a direct significant relationship with project communication, its role in fostering trust, reducing resistance, and ensuring stakeholder needs are met is crucial for overall project success. Institutional support directly contributes to project performance by providing resources, supportive policies, and technical assistance, thereby enhancing the effectiveness of project communication. Project communication, as a mediator, integrates leadership, stakeholder engagement, and institutional support to drive successful project outcomes. These findings underscore the importance of transformational leadership, effective communication, and institutional support in improving food estate project performance in Indonesia. The results offer valuable insights for practitioners and policymakers aiming to enhance project outcomes through strategic management practices.

The outbreak of the Covid-19 pandemic and the introduction of Society 5.0 by the Japanese government in 2019 have resulted in significant changes to consumer behavior. The aim of this research is to examine the impacts of consumption value on customers' behavioral shifts. Furthermore, quantitative methods were used with a sample of 344 respondents, and data analysis using the structural equation model with the Lisrel 8.72 application. The stages in the structural equation analysis of this model are: development of theoretical models, development of path diagrams, conversion of path diagrams to structural equations, selecting input matrices and types of estimates, identifying models, assessing goodness of fit criteria, and interpreting results. The results obtained showed that consumers' attitudes and habits toward utilizing meal delivery applications can be influenced by factors such as their social, conditional, emotional, epistemic, and functional values. In the use of food delivery applications, consumers are not only interested in tangible benefits, but also in less tangible benefits, such as information provided by businesses.