Conference Tracks
AI for Sustainable Business: Driving SDGs through Digital Innovation and Transformation
Track 1: AI in Marketing, Consumer Behaviour and Responsible Consumption
This track invites research on the role of artificial intelligence, digital platforms, analytics, and emerging technologies in shaping responsible marketing practices and sustainable consumption behaviour.
Indicative sub-themes include:
• AI-driven marketing analytics and customer experience
• Digital innovation in consumer behaviour and decision-making
• Responsible consumption, green consumer behaviour and ethical marketing
• Sustainable branding, green advertising and anti-greenwashing strategies
• AI-enabled personalization, recommendation systems and consumer trust
• Social media, influencer marketing and sustainability communication
• Consumer privacy, data ethics and responsible digital engagement
• AI in retailing, e-commerce, q-commerce and omnichannel sustainability
Track 2: Green Finance, FinTech, ESG and Sustainable Investment
This track focuses on the intersection of AI, finance, ESG, governance, and sustainable investment practices.
Indicative sub-themes include:
• AI in green finance and sustainable investment decision-making
• ESG reporting, ESG ratings and corporate sustainability disclosure
• FinTech, digital banking and financial inclusion
• AI-enabled risk assessment, fraud detection and climate finance
• Sustainable portfolio management and impact investing
• Carbon finance, green bonds and climate-related financial risk
• Corporate governance, board responsibility and ethical finance
• Responsible AI in accounting, auditing and financial reporting
Track 3: Sustainable Human Resource Management and Future of Work
This track welcomes studies examining how AI, automation, digital transformation, and sustainability are reshaping work, employment relations, leadership, and employee well-being.
Indicative sub-themes include:
• AI in recruitment, talent analytics and workforce planning
• Sustainable HRM and responsible people management
• Future of work, hybrid work and digital workplace transformation
• Employee well-being, inclusion, diversity and decent work
• Algorithmic management and ethical HR analytics
• Human–AI collaboration and employee performance
• Leadership for sustainable and digitally enabled organizations
• Reskilling, upskilling and employability in the AI era
Track 4: AI-enabled Operations, Supply Chain and Logistics Management
This track addresses the application of AI, analytics, automation, and digital technologies in building sustainable, resilient, and responsible operations and supply chains.
Indicative sub-themes include:
• AI in supply chain planning, forecasting and optimization
• Sustainable logistics and green transportation systems
• Circular supply chains and reverse logistics
• Smart manufacturing, Industry 4.0/5.0 and sustainable operations
• AI-enabled inventory, procurement and warehouse management
• Supply chain transparency, traceability and ESG compliance
• Resilient supply chains and risk management
• Digital twins, IoT and blockchain for sustainable value chains
Track 5: AI, Machine Learning, Data Science and Business Analytics
This track invites technical and applied research on AI, ML, data science, analytics, and intelligent decision-support systems for sustainable business transformation.
Indicative sub-themes include:
• Machine learning applications in sustainable business decision-making
• Predictive analytics for ESG, climate risk and sustainability performance
• Natural language processing for sustainability reporting and sentiment analysis
• Generative AI for business innovation and decision support
• Explainable AI, responsible AI and algorithmic transparency
• Big data analytics for SDG-oriented business models
• AI-based forecasting, classification and optimization models
• Data-driven policy, governance and sustainability measurement
Track 6: Information Technology, Digital Innovation and Platform Ecosystems
This track focuses on digital transformation, IT-enabled innovation, platform businesses, and technology-driven sustainable development.
Indicative sub-themes include:
• Digital transformation for sustainable business models
• IT governance, cybersecurity and data privacy
• Platform ecosystems and digital entrepreneurship
• Blockchain, cloud computing and IoT for sustainability
• Smart cities, digital infrastructure and inclusive technology
• Digital public infrastructure and sustainable development
• Technology adoption, resistance and discontinuance behaviour
• Digital responsibility, accessibility and inclusive growth
Track 7: Sustainable Entrepreneurship, Start-up Ecosystems and Innovation Management
This track invites research on how AI, digital innovation, and sustainability shape entrepreneurship, start-up growth, innovation ecosystems, and value creation.
Indicative sub-themes include:
• AI-driven sustainable entrepreneurship and start-up ecosystems
• Green innovation and sustainable business models
• Social entrepreneurship and inclusive enterprise development
• Digital innovation for SDG-oriented ventures
• Entrepreneurial finance, venture capital and impact investment
• University–industry collaboration and innovation ecosystems
• Technology commercialization and sustainable scaling
• Women entrepreneurship, rural entrepreneurship and inclusive innovation
Track 8: ESG, Corporate Governance, Ethics and Responsible Business Practices
This cross-disciplinary track addresses governance, accountability, ethics, responsibility, and institutional mechanisms required for sustainable business transformation.
Indicative sub-themes include:
• ESG strategy, corporate governance and responsible leadership
• AI ethics, digital responsibility and algorithmic accountability
• Corporate social responsibility and stakeholder value creation
• Business ethics, transparency and responsible decision-making
• Sustainability reporting, integrated reporting and assurance
• Regulatory frameworks for AI, ESG and digital transformation
• Inclusive growth, social sustainability and equitable development
• Responsible business practices for achieving the SDGs
Track 9: Circular Economy, Green Innovation and Sustainable Value Creation
This track focuses on circularity, resource efficiency, green innovation, and regenerative approaches to business transformation.
Indicative sub-themes include:
• Circular economy models and closed-loop business systems
• Green product innovation and sustainable design
• Waste reduction, recycling and resource optimization
• AI for energy efficiency and environmental performance
• Sustainable value chains and regenerative business practices
• Climate action, carbon neutrality and net-zero strategies
• Sustainable production and consumption systems
• Green technology adoption and diffusion
Track 10: Doctoral Colloquium and Emerging Research Forum
This track provides a platform for doctoral scholars, early-career researchers, and young academicians to present ongoing research related to AI, sustainability, digital transformation, ESG and SDG-oriented business practices.
Indicative areas include:
• Conceptual and empirical research in AI and sustainable business
• Research proposals and work-in-progress papers
• Scale development and methodological advancements
• Systematic literature reviews and bibliometric studies
• Experimental, qualitative, quantitative and mixed-method research
• Emerging theories and frameworks in sustainable digital transformation