Lifelong Learning And Risk Management In Smes: Economic Practices For A Sutainable Future

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Authors: Nishant Verma, Associate Professor Dr. Mehak

Abstract: This paper explores risk management practices in Small and Medium Enterprises (SMEs) through the interdisciplinary lenses of psychology, economics, and linguistics, emphasizing the role of lifelong learning in achieving sustainable futures. By examining how SMEs perceive, communicate, and economically strategize around risk, we uncover the cognitive, communicative, and systemic factors shaping risk resilience. This study draws on empirical data, theoretical frameworks, and case studies to advocate for integrative, adaptive, and continuous learning mechanisms to enhance SMEs’ sustainability and competitiveness in an increasingly volatile global market.Risk management is a critical component of business strategy, particularly for Small and Medium Enterprises (SMES) that often lack the resources of larger corporations. This paper investigates the risk management practices adopted by SMES, exploring their effectiveness, challenges, and the role of organizational culture, awareness, and external support. Using a mixed-methods approach, the study identifies common risks faced by SMES, evaluates current mitigation strategies, and proposes a framework for improved risk management. The findings highlight a need for enhanced awareness, training, and integration of risk management into business planning. This paper investigates the current landscape of risk management practices among SMES, with a focus on how they perceive, assess, and respond to various types of risks. Drawing on a mixed-methods research approach, including quantitative surveys and qualitative interviews with SME owners and managers, the study reveals that while most SMES recognize the existence of critical risks, few possess structured or formal risk management systems. Instead, risk responses are often reactive, ad hoc, and based on the intuition and personal experiences of the business owner rather than systematic analysis.

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