Textile industry involves a lengthy process from upstream to downstream, making supply chain integration crucial for enhancing firm performance. This study explores various factors that can boost supply chain integration and company performance in Indonesia's textile sector, including strategic agility, innovation capability, and technology adoption. The research is grounded in resource-based-view and market-based-view theories, suggesting that companies can optimize their resources and collaborate effectively with supply chain partners to enhance industry performance. Additionally, the study considers environmental turbulence as a moderating variable. Utilizing a quantitative approach with judgmental sampling, the research collected data through a structured questionnaire, resulting in 270 valid responses. The data was analyzed using the partial least squares structural equation modeling (PLS-SEM) method with SmartPLS 4.0 software. Findings indicate that strategic agility, innovation capability, and technology adoption significantly influence firm performance through supply chain integration, while environmental turbulence notably moderates the relationship between innovation capability and supply chain integration on firm performance. The study recommends that textile companies prioritize agility, strategic innovation, and technology adoption to enhance their integration with supply chain partners. It underscores the critical role of supply chain integration in improving company performance and the impact of environmental turbulence as a moderating factor.

In the dynamic landscape of contemporary business, achieving entrepreneurial resilience is an important goal for organizations facing unprecedented challenges. This study investigates the complex interactions between ambidextrous leadership, entrepreneurial mindfulness, and the mediating mechanisms of business model innovation capacity in fostering entrepreneurial resilience. This research uses a quantitative approach with the population of the startup community in Indonesia. A sample of 340 startup actors was selected randomly. Data was collected via a Likert Scale questionnaire with a scale range of 1-6. Hypothesis testing was carried out using Structural Equation Modeling (SEM) Partial Least Squares (PLS) to overcome model complexity and small sample size. Findings support the relationship between entrepreneurial alertness, ambidextrous leadership, business model innovation capacity, and entrepreneurial resilience. The theoretical implications enrich the literature by introducing mediating variables and leading to the development of a more comprehensive theoretical model. The practical implications highlight the importance of leadership development and business innovation to improve adaptation and response to change. Policy implications emphasize the need for policy support to strengthen entrepreneurship and innovation in the national economy.