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‘Managing the Managers: Nine Tips to Help Social Enterprises Build Outstanding Management Teams’, Next Billion
This NextBillion article provides nine essential strategies for building strong management teams in social enterprises. It highlights the importance of fostering a high-performing culture, implementing supportive systems, and prioritising continuous learning. Key approaches include effective talent assessment, incremental onboarding, meeting management, and coaching skill development. The article emphasises how strong management is vital for scaling operations and achieving meaningful impact.
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This NextBillion article offers insights for social enterprises aiming to build strong management teams. The piece outlines nine key strategies, ranging from creating a high-performing culture to implementing organisation-wide systems that support managerial success. It emphasises the importance of continuous learning, careful talent assessment, and incremental onboarding processes. The article also stresses the need for effective meeting management and the development of coaching skills among managers. Throughout, it underscores the critical role of strong management in scaling social enterprises and achieving impact.
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Web3 for 2030: How Can Web3 Help Achieve the Sustainable Development Goals?, UNDP, 2022
ReportsThis UNDP report examines how Web3 technologies like blockchain and decentralised finance can drive social innovation and support the Sustainable Development Goals (SDGs). It provides an accessible overview of Web3, highlights its potential for systemic change in areas like finance and governance, and addresses key adoption challenges, including digital exclusion and environmental concerns.
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AI for Impact: The PRISM Framework for Responsible AI in Social Innovation, Schwab Foundation for Social Entrepreneurship
White papersThis report introduces the ‘PRISM Framework,’ a guide for responsibly integrating AI into social innovation. Developed with EY and Microsoft, it offers pathways for organisations at various AI adoption stages. The framework aligns AI with impact goals, highlights scalable approaches, and addresses key considerations like ethics, data security, and transparency.
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