• Nisha Yallapragada
• Dr.Aditi Gaur

Employee motivation is a critical factor in the success of social enterprises, which operate with the dual purpose of achieving social impact and maintaining financial sustainability. While employees in social enterprises are often intrinsically motivated by the desire to contribute to a greater social good, relying solely on intrinsic motivation can be difficult to sustain, especially in high-demand or resource-constrained environments. Non-financial incentives, such as recognition programs, professional growth opportunities, and flexible work arrangements, can serve as valuable tools to complement intrinsic motivation and enhance employee engagement. Artificial Intelligence (AI) offers a transformative approach to designing and implementing non-financial incentives by providing advanced, data-driven insights into employee preferences, behaviors, and motivational drivers. Through AI-powered analytics, organizations can personalize incentives, align them with individual and team goals, and monitor their effectiveness over time. This study delves into the role of artificial intelligence in optimizing employee motivation in Social Enterprises. By harnessing the power of artificial intelligence, the research offers valuable insights into developing innovative, scalable solutions for motivating employees in social enterprises. Ultimately, the research underscores how the strategic use of artificial intelligence can help social enterprises build a motivated, engaged, and productive workforce, driving both social impact and organizational sustainability. This paper offers a comprehensive understanding of the intersection of technology, human motivation, and social enterprise management, paving the way for future advancements in the field.

Artificial Intelligence, employee motivation, job satisfaction, social enterprises, technology

"Leveraging Artificial Intelligence for Employee Motivation in Social Enterprises", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.h692-h696, March-2025, Available :http://www.jetir.org/papers/JETIR2503784.pdf

"Leveraging Artificial Intelligence for Employee Motivation in Social Enterprises", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. pph692-h696, March-2025, Available at : http://www.jetir.org/papers/JETIR2503784.pdf