The rapid advancement of Artificial Intelligence (AI) and automation technologies has fundamentally reshaped the landscape of business operations, necessitating a comprehensive digital transformation across industries. This paradigm shift compels organizations to integrate AI-driven tools and automated processes into their core strategies, fostering agility, efficiency, and innovation. The convergence of digital transformation with sustainable business models underscores the growing emphasis on creating value beyond profit — embracing environmental responsibility, social equity, and long-term economic viability. The intelligent automation, businesses can optimize resource utilization, reduce operational costs, and minimize environmental footprints, aligning with global sustainability goals. AI-powered analytics and predictive insights enable firms to anticipate market trends, customize offerings, and enhance stakeholder engagement, thereby reinforcing competitive advantage in a rapidly evolving digital economy. This transformative era calls for a redefinition of business models that prioritize circular economy principles, responsible supply chain management, and ethical governance, ensuring that technological progress translates into sustainable growth and societal benefit.
Khan et al. (Tue,) studied this question.