Topics of Interest
The topics of interest include, but are not limited, to those listed in the following tracks:
Track 1 – Theory and Principle of Service Sciences
Service concepts and strategies, quality assurance, performance metrics.
Track 2 –Service System Design, Operations, and Management
Service system and network design, service process engineering/reengineering, service planning and scheduling, service management based on emergency, modeling and analysis of service systems.
Track 3–Supply Chain Management for Service
Supply chain planning, value delivery, supply chain management based on emergency, supply chain cluster, transportation management systems, return logistics, supplier relationship management, logistics visibility and control, procurement.
Track 4–Service Marketing and Financial Management
Demand forecasting, customer relationship management, public relations, customer behavior, satisfaction, and retention, service cost evaluation and analysis, profitability of service investment, risk management, revenue management.
Track 5–Specific Industrial Service Management
Information service, tourism and hotel management, public service, hospital, finance and insurance service, sports service, exhibitions.
Track 6–Service Information Technology and Decision Making
Integrated information management systems, real-time identification and tracking technology, agent theory and technology, software agent based systems, intelligent decision support systems, artificial intelligence, RFID technology and applications, data warehousing and data mining, systems integration, e-business/e-service.
Track 7–Service Experiential Studies and Case Studies
Healthcare, education, public service, transportation, telecommunication, maintenance, finance/ insurance/real estate, distribution/retail, service for social, economical, and cultural events (e.g., exhibitions, sports, festivals).
Track 8–Social and City Computing for Smart Services
Social Computing: theories of social computing with big data, scalable and reliable social computing, heterogeneous social data mining, information propagation in social media, community detection and evolution, topic detection, evolution, and recommendation, sentiment discovery and opinion mining, Ubiquitous social computing, Privacy preserving social computing.
Urban Computing: urban sensing and data acquisition, integration and analysis of big and heterogeneous data, the intelligent environment, urban Economy using big data, smart transportation, big data-driven urban planning, detecting urban anomalies.