California-based researcher Dr. Satpreet Singh is building an interdisciplinary body of scholarship that examines leadership, artificial intelligence, sustainability, organizational culture, and the ways institutions respond to technological change.
As artificial intelligence, sustainability pressures, and rapidly changing technologies reshape organizations, some of the most consequential research questions no longer fit neatly within a single academic discipline. Understanding how organizations respond to these forces requires attention not only to technology, but also to leadership behavior, ethics, culture, decision-making, and human systems.
That intersection has become a central area of inquiry for Dr. Satpreet Singh, a California-based business and leadership scholar, researcher, author, and academic editor.
Singh holds a PhD in Business Administration with a specialization in Organizational Leadership from National University in California. His academic background also includes a Master of Computer Applications and a Bachelor of Science from Guru Nanak Dev University in India. The combination places technology and organizational leadership within the same professional and research trajectory.
Rather than approaching leadership solely as a management concept, Singh’s scholarly work examines it as a variable that can influence how organizations adapt, make decisions, manage technological change, and pursue sustainability.
Studying Leadership as an Organizational System
Singh’s research interests span leadership behavior, sustainable leadership, artificial intelligence ethics and governance, organizational culture, supply chain management, technology-driven organizational development, and decision science.
His doctoral research focused on sustainable leadership and supply chain management in the manufacturing sector. Using a multiple-case-study methodology, the research incorporated interviews with 17 executives and qualitative coding using NVivo 15. The study examined themes involving leadership behaviors, sustainable supply-chain-management adoption, and organizational culture.
That work reflects a broader question running through Singh’s scholarship: What happens when leadership decisions encounter complex systems?
In contemporary organizations, decisions about sustainability, artificial intelligence, supply chains, and digital transformation can involve interconnected technical and human consequences. Research in these areas therefore requires examining not just whether a technology or management practice works, but how people implement it, govern it, and respond to it.
Singh has continued exploring these intersections through scholarly publications and conference research.
Research at the Intersection of AI and Human Decision-Making
Artificial intelligence represents one of the clearest examples of the convergence between technology and organizational leadership.
Singh’s research record includes work examining leadership challenges during AI transformation, ethics in computer science and engineering, and the potential risks associated with advanced artificial intelligence.
His 2023 conference publication, “Leadership Challenges and Strategies in the Era of AI Transformation,” appeared in the proceedings of the International Conference on Computational Science and Computational Intelligence. Another 2023 publication, “Approaches, Theories, and Role of Ethics in Computer Science and Engineering,” appeared in the proceedings of the International Conference on Computational Science and Computational Intelligence and was published through IEEE.
The ethical dimension of technology is particularly relevant as organizations increasingly rely on automated and data-driven systems. Questions surrounding AI governance extend beyond computing performance. They can involve accountability, organizational policy, leadership judgment, fairness, and the long-term consequences of technological adoption.
Singh has also examined the relationship between leadership, artificial intelligence, and sustainable supply chains. His chapter on the existential risks of superintelligence considers leadership within the context of sustainable supply chain management, bringing technological risk and organizational responsibility into the same discussion.
Together, these areas illustrate an interdisciplinary research approach in which technology is studied within the organizations and social structures responsible for deploying it.
Sustainability as a Leadership Question
Sustainability represents another major component of Singh’s research.
His peer-reviewed article, “Sustainable Business Practices and Their Impact on Global Livability,” was published in 2023 by the Australian Academy of Business Research. His doctoral research subsequently investigated sustainable leadership and supply-chain management in manufacturing.
This focus treats sustainability as more than an environmental or operational concern. It also raises questions about organizational behavior: how leaders establish priorities, how organizational culture affects implementation, and how businesses translate sustainability objectives into operating practices.
Such questions become especially significant in supply chains, where decisions made within one organization can affect suppliers, customers, employees, communities, and interconnected business networks.
Singh’s research places leadership behavior within that larger system.
Developing Models for Learning and Organizational Knowledge
Another part of Singh’s scholarly work focuses on knowledge creation and education.
In 2022, he published research describing the LACGC learning research model for knowledge and contribution, addressing the consumption, creation, and implementation of knowledge in academic and non-academic environments.
His subsequent work included the TDMPITAS framework for a successful e-learning environment.
These research interests connect with Singh’s experience teaching and training adult and graduate-level learners in online and hybrid environments. His academic activities have included workshops and presentations covering leadership, sustainability, ethics, AI governance, and qualitative and quantitative research.
Methodologically, his background includes qualitative research using NVivo as well as quantitative research tools including SPSS and G*Power.
The combination of research methodology, technology, education, and organizational leadership has allowed Singh to work across areas that are often treated separately.
From Researcher to Academic Editor
Singh’s academic work also extends into scholarly publishing.
He is a co-editor of the Springer academic volume Leadership, Business and Management in STEM, scheduled for publication in 2026. His editorial responsibilities have included manuscript coordination, scholarly organization, integration of peer-review feedback, and maintaining publication standards.
His academic service has additionally included organizing and chairing international conference sessions involving leadership, business strategy, and technology.
These roles place Singh on both sides of the research process: producing scholarship while also participating in the review, organization, and communication of academic work.
An Interdisciplinary View of Modern Organizations
The increasing convergence of artificial intelligence, sustainability, data, and organizational decision-making is creating research problems that cannot always be understood through technology or management alone.
Singh’s body of work occupies this interdisciplinary space.
His background in computer applications provides a technical foundation, while his doctoral training in organizational leadership centers his research on human and institutional behavior. His published work has subsequently addressed subjects ranging from AI transformation and computer ethics to sustainable business practices, supply-chain leadership, and models for knowledge creation.
The connecting thread is the study of how people and organizations function within increasingly complex technological systems.
For Singh, that means applying systematic research methods to questions traditionally associated with leadership and management while recognizing that modern organizations are simultaneously technological, economic, and human systems.
As artificial intelligence becomes more deeply embedded in organizational decision-making and sustainability becomes an increasingly important strategic consideration, research connecting these fields may become particularly relevant. Singh’s scholarship represents one effort to understand that intersection, not by treating leadership and technology as separate domains, but by examining how each shapes the other.
