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AI Strategies for Enhancing Resilience and Adaptability in Social Enterprises for Economic Sustainability
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Author(s): Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, Ghaziabad, India)
Copyright: 2025
Pages: 22
Source title:
AI Strategies for Social Entrepreneurship and Sustainable Economic Development
Source Author(s)/Editor(s): Poshan Yu (Soochow University, China & European Business Institute, Luxembourg & Australian Studies Centre, Shanghai University, China), Steve K.M. Wong (Big Data Ideal Lab, China & Belt and Road Blockchain Association, China)and Akhilesh Chandra Prabhakar (University of Technology, Papua New Guinea)
DOI: 10.4018/979-8-3693-6392-8.ch005
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Abstract
The intersection of artificial intelligence (AI) and social entrepreneurship has emerged as a crucial domain for fostering sustainable economic development. Within this context, our chapter focuses on enhancing the resilience and adaptability of social enterprises through AI strategies. The literature survey underscores numerous open challenges faced by social enterprises, ranging from resource constraints to complex stakeholder dynamics, highlighting the need for innovative solutions. Our proposed approach introduces novel AI-driven strategies tailored specifically for social enterprises, marking a significant advancement in the field. By leveraging AI technologies such as machine learning and predictive analytics, we aim to empower social ventures in navigating uncertainties and optimizing decision-making processes. The results of our study demonstrate substantial improvements in resilience metrics and adaptability indicators, showcasing the efficacy of our approach compared to traditional methods.
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