Important Dates:
Abstract Submission: 31st August, 2026
Full paper Submission: 15th October, 2026
Author’s Guidelines : From Dr Sairam
About Universal Ai University
Founded in 2009 as a premier Business School, our journey began on a 40-acre, fully-residential campus nestled in the heart of Karjat Valley, near Mumbai, Maharashtra. Backed by 60 visionary CEOs and led by distinguished corporate executives and academicians. In 2023, we proudly became Universal Ai University, India’s 1st Ai University.
As the best university in Karjat for AI and technology-focused education, we offer a unique blend of cutting-edge curriculum, industry-renowned faculty, and state-of-the-art facilities, preparing you to thrive in the ever-evolving world of artificial intelligence, machine learning, and other emerging technologies.
With a focus on practical learning and industry collaborations, Universal Ai University aims to equip its graduates with the skills and knowledge needed to thrive in the ever-evolving world of technology.
About the Conference
NGM 2026 (Next-Gen Management: Shaping Global Futures) is our flagship scholarly forum for advancing management research that speaks to real institutional and organizational challenges across sectors, regions, and disciplines. We aim to bring together an international community of scholars to exchange ideas, test emerging frameworks, and build research conversations that remain relevant beyond a single year.
This year’s theme, “Futuristic Perspectives on Technology, People and Process,” is timely for a simple reason: the rules of management are being rewritten in front of us. Technology is changing how decisions are made and services are delivered. Global uncertainty geopolitical shifts, regulatory changes, and supply chain disruptions is forcing organizations to rethink how they operate and manage risk. At the same time, sustainability is no longer a separate agenda; it is becoming a core requirement in strategy and execution.
NGM 2026 also reflects a generational transition in the workforce. New cohorts bring higher digital comfort, different expectations of leadership and meaning at work, and a sharper demand for transparency and fairness. Together, these shifts make it the right moment to study how organizations can redesign processes, develop people, and govern technology responsibly while staying competitive and resilient.
Aim and Objective of the Conference
The main aim of this International Conference is to provide an international platform for scholars, researchers, and practitioners to present and discuss innovative research on emerging trends in management, especially in the areas of technology, people, and processes. The conference promote research that supports sustainable, ethical, and data-driven decision-making in organizations which are operating in dynamic and uncertain global environments.
Our Speakers
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Call for Papers
The theme “Futuristic Perspectives on Technology, People and Process” highlights the rapid transformation of organizations driven by digital technologies, evolving workforce expectations, and dynamic global environments. The conference provides an international platform to share innovative ideas, examine new frameworks, and engage in meaningful academic dialogue on contemporary management issues. NGM 2026 invites high quality research papers in the following areas but not limited to:
Strategy, Governance, and Responsible Leadership
Targeted research areas:
Strategic management, corporate governance, business ethics, public policy and regulation, leadership studies, institutional theory, risk and resilience, international business strategy.
Major topics included:
- Strategy in digitally disrupted markets; new business models and ecosystem strategy
- Corporate governance, accountability, and board oversight of emerging technologies
- Ethical leadership, responsible management, and stakeholder governance
- Organizational resilience: crisis leadership, risk management, and continuity
- Globalisation and geopolitics: regulatory fragmentation, de-risking, and cross-border strategy
People, Work, and Human Potential
Targeted research areas:
Human resource management, organizational behavior, leadership and change, learning and development, psychology of work, diversity and inclusion, sociology of work, human capital analytics.
Major topics included:
- Future of work: job redesign, skills transitions, and workforce planning
- Human–AI collaboration: trust, delegation, accountability, and adoption
- Leadership and culture in transformation; psychological safety and change readiness
- Employee wellbeing, engagement, and ethical implications of algorithmic management
Markets, Customers, and Digital Society
Targeted research areas:
Marketing, consumer behavior, digital marketing and analytics, services marketing, platform markets, communication and reputation, behavioral science, cross-cultural consumer research.
Major topics included:
- AI in marketing: personalization vs privacy, automation, and customer trust
- Digital platforms and market power; creator economies and attention dynamics
- Brand authenticity, misinformation, and reputational risk in digital ecosystems
- Customer experience, service innovation, and human-centered design
- Sustainable consumption, ethics-driven branding, and global consumer shifts
- Artificial Intelligence in Marketing: Personalization, Privacy, Automation, and Customer Trust
- Digital Marketing and Platform Ecosystems
- Brand Authenticity, Misinformation, and Reputational Risk in Digital Environments
- Customer Experience, Service Innovation, and Human-Centered Design
- Sustainable Consumption and Ethics-Driven Branding
- Data-Driven Marketing, Analytics, and Strategic Decision-Making
Business Analytics, AI, and Decision-Making
Targeted research areas:
Business analytics, information systems, decision sciences, AI in business, data governance, responsible AI, model risk management, human–computer interaction, operations analytics.
Major topics included:
- Analytics strategy and value realization; AI portfolio management
- Data quality, data governance, and stewardship for organizational decision-making
- Responsible AI: fairness, interpretability, evaluation, monitoring, and assurance
- Human-in-the-loop systems, decision augmentation, and adoption barriers
- Measurement frameworks for productivity, risk, and organizational outcomes driven by AI
- AI & Machine Learning in Business
- Data-Driven Decision Making
- Digital Transformation and Analytics
- Emerging Analytics Technologies
Sustainable Operations, Supply Chains, and Value Creation
Targeted research areas:
Operations management, supply chain management, sustainability management, ESG reporting and assurance, circular economy, risk and resilience, managerial accounting, sustainable finance.
Major topics included:
- Sustainable operations and process innovation; productivity with responsibility
- Supply chain resilience, traceability, circularity, and Scope 3 management
- ESG measurement, reporting, and assurance; greenwashing risk and governance
- Climate risk, operational risk, and continuity planning
- Sustainable value creation: linking finance, operations, and societal impact
