Agri-food supply chains (AFSCs) lose approximately 1.3 billion tons of food annually, posing a major challenge to environmental sustainability. Logistics deficiencies are widely recognized as key drivers of postharvest losses. However, most studies examine isolated practices, with limited attention to their interactive effects across AFSCs stages, or to the mechanism linking operation practices, theories, and empirical research framework. This study conducts a systematic literature review following the PRISMA guidelines. Using Web of Science and Scopus, 90 empirical studies published between 2001 and August 2025 were analyzed to examine how food loss occurs and is mitigated across AFSCs. The review defines the operational boundaries of AFSCs, identifies six categories of food loss drivers, and systematically maps corresponding mitigation strategies across logistics stages. Findings indicate that logistics practices alone are insufficient to achieve effective food loss reduction. The effectiveness of logistics practices depends on organizational capabilities such as digital technology for monitoring and forecasting, collaboration for coordinated decision-making, and institutional pressures that encourage sustainable operations. Drawing on Natural Resource-based View, Dynamic Capability View, and institutional theory, this study proposes an integrated research framework to guide future empirical studies. The framework also provides practical guidance for managers and policymakers seeking to advance food loss reduction and contribute to achieving SDG 12.3.

This study examines how firms convert dynamic capabilities into green innovation (GI) by developing green core competence (GCC). Drawing on resource-based theory and dynamic capability theory and incorporating core competence logic, the study investigates the direct effects of absorptive capacity (AC) and technological capability (TC) on GI, the mediating role of GCC, and the moderating role of green organizational culture (GOC) in the capability-to-competence process. Survey data were collected from 324 managers in China’s electronic information manufacturing industry, a technology-intensive sector facing pressures for technological upgrading and environmental improvement. Partial least squares structural equation modeling was used to test the proposed mediation and moderation model. The results show that AC and TC both positively affect GI and GCC, while TC has stronger effects. GCC positively affects GI and partially mediates the relationships between AC and GI and between TC and GI. GOC further strengthens the positive effects of AC and TC on GCC. These findings suggest that GI depends not only on the possession of dynamic capabilities but also on their conversion into a green-specific competence base. The study offers a contextualized explanation of how technology-intensive manufacturing firms organize internal capabilities to support sustainable manufacturing practices.