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 – Information systems (or electronic commerce) and service management

With the rapid development of information technology and information systems, people could provide better services by using a wide range of information systems. For instance, Didi and Uber typically change the taxi industry and user behavior. This track calls for both the micro- and macro-level analyses of information system development and service management.

Track 3 – Service management and service innovation

Innovation is one of the key issues in the new age of economics. This tracks calls for how innovative services are developed and applied.

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 – 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 6 – Specific Industrial Service Management

Information service, tourism and hotel management, public service, hospital, finance and insurance service, sports service, exhibitions.

Track 7 – Service Empirical Studies and Case Studies

Education, public service, transportation, telecommunication, maintenance, finance/ insurance/real estate, distribution/retail, tourism, after-sales service, service for social, economic, and cultural events (e.g., exhibitions, sports, festivals).

Track 8 – Electronic business new models and strategies

Internet finance, cloud computing and big data for e-business/e-service, open innovations for e-business/e-service, online to offline marketing, information sharing in e-business/e-service environment, distribution channels and product variety of e-business/e-service, e-logistics management.

Track 9 – Data analytics and service management

Big data computing and application, data analytics, data mining, predictive analytics, knowledge discovery, classification, risk detection for service management.