In today’s complex organizational environment, Emotional Intelligence (EI) plays a critical role in shaping the quality of economic decision-making by managers. This study investigates how the dimensions of EI—namely self-awareness, emotional regulation, and empathy—influence strategic decision processes across various industries. Using a descriptive qualitative approach with thematic analysis, data were gathered from semi-structured interviews with 10 senior managers, supported by observations and organizational documents. The findings reveal that EI serves as an internal mechanism that stabilizes cognitive processes under organizational pressure, reduces decision bias, and enhances the social legitimacy of economic decisions. The integration of EI fosters a balance between rational analysis and affective insight, leading to more ethical and adaptive decisions. This study offers an integrative model connecting EI dimensions with key stages of economic decision-making and provides practical implications for managerial training and organizational policy. It advocates for interdisciplinary approaches to better understand emotionally-informed economic behavior.

This study addresses the growing imperative for environmentally responsible supply chain management in Southeast Asia and the challenges of assessing corporate sustainability disclosures. Although companies increasingly produce sustainability reports, the extent to which these documents reflect genuine green practices remains unclear. This research systematically evaluates how five major Southeast Asian firms, including Unilever SEA, Nestlé Indonesia, Indofood, Danone, and ThaiBev, articulate green supply chain initiatives in reports published between 2022 and 2023. Employing a qualitative exploratory design, the study integrates document analysis with text mining and thematic coding; approximately 33,000 words from the five reports were processed, yielding 1,300 occurrences of green supply chain terms categorized into three themes: eco-packaging, green logistics, and carbon tracking. The results reveal a pronounced imbalance: eco-packaging comprised 54 percent of keywords (n = 702), green logistics 29 percent (n = 377), and carbon tracking 17 percent (n = 221). Unilever’s 9,300-word report contained 350 mentions of eco-packaging, while Danone’s 5,900-word report featured 310; carbon tracking averaged under 45 references per report. The study introduces a replicable text mining framework for ESG disclosure analysis and underscores the need for more balanced reporting, including Scope 3 emissions data. Future mixed-method approaches that combine computational analysis with qualitative validation are advocated. The findings provide evidence for policymakers and investors to refine ESG guidelines and highlight the potential of computational tools to enhance corporate accountability in sustainability reporting