Ira Agarwal, a globally distinguished leader in artificial intelligence, governance, and social innovation, continues to elevate her intellectual and thought leadership stature through her publication in a Scopus-indexed, SCImago Q1 journal—a benchmark of global academic excellence and research credibility.
Her paper, “Technology Innovation and Artificial Intelligence in Social Entrepreneurship: A Strategic Pathway Toward Sustainable Development Goal Implementation” articulates a transformational and future-defining framework at the intersection of AI, innovation, and sustainable development, reimagining how intelligent technologies can architect scalable, measurable and governance-led social impact aligned with the United Nations Sustainable Development Goals.
The research presents a compelling narrative on how artificial intelligence serves as a strategic force multiplier enabling social enterprises to transcend traditional limitations, scale with precision, and deliver high-impact outcomes with enhanced efficiency, inclusivity and accountability. It further advances the paradigm of AI-integrated, governance-driven enterprise models, where technology is not merely an enabler but a core pillar of sustainable value creation.
Positioned within the elite landscape of Scopus-indexed global research, this publication reflects the accelerating shift toward AI-powered innovation ecosystems where data intelligence, automation, and advanced computational frameworks are fundamentally reshaping decision-making, policy design, and societal progress.
What distinctly sets Ira Agarwal’s work apart is its rare synthesis of academic rigor and executional depth bridging the often fragmented divide between theoretical constructs and real-world enterprise application. This contribution further cements her leadership in designing and scaling AI-powered, ESG-aligned, governance-first ecosystems, exemplified through her pioneering work at AIM Elevate Ventures and EmergeAI Technologies.
Read more – https://sci-cult.net/index.php/cult/article/view/4861/2844
