Smart Crowd Chains: Integrating Social Media Analytics and AI-Driven Crowdsourcing for Smarter Supply Chain Systems
Objectives and topics
This special session focuses on understanding how social media analytics and AI-based crowdsourcing approaches can support innovation and decision-making in logistics and supply chain systems.
The key objectives of the session are to:
Use social media analytics for demand insights.
Apply AI-driven crowdsourcing in logistics coordination.
Examine digital technology adoption in supply chains.
Explore workforce participation in technology-driven change.
Identify human factors influencing AI adoption.
Share practical frameworks and applied case studies.
Topics of Interest (include but are not limited to):
Social media analytics for supply chain intelligence and trend monitoring
AI-based decision support for logistics planning and optimization
Crowdsourcing models for last-mile delivery and dynamic routing
Technology adoption and diffusion in digital or AI-enabled supply chains
Human and organizational factors influencing digital transformation in logistics
Social sensing and collective participation in supply chain problem-solving
Integrating social media signals into demand forecasting and inventory management
Collaborative platforms and workforce engagement in technology-driven logistics
Data governance and ethical considerations in AI and crowd-based logistics systems
Case studies on AI–crowdsourcing synergy in real supply chain environments
Contact:
o Dr. Taab Ahmad Samad, Birmingham Business School, University of Birmingham Dubai, Dubai International Academic City, Dubai. Email: t.a.samad@bham.ac.uk
o Dr. Vedika Gupta, Information Systems & Analytics, Jindal Global Business School, OP Jindal Global University, India. Email: vgupta2@jgu.edu.in