Conference Information
ICSS 2016: International Conference on Service Science
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Conference Date:
Chongqing, China
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Call For Papers
The ICSS 2016 research track seeks original, unpublished research papers reporting substantive new work in various aspects of services science, management, engineering, and technology. Research papers must properly cite related work and clearly indicate their contributions to the field of serviceology and related fields. All topics relevant to serviceology are of interest, but the conference program committee particularly encourages submissions in the following categories:

1. Service Science

     Service and service system modeling, simulation and analysis
     Human behavior in service systems
     The dynamics of service system evolution
     Service optimization methods
     Data mining for service intelligence
     Service psychology
     Fundamentals of service science and serviceology

2. Service Management

     Consumer/customer service experience
     Customer relationship management
     Service supply chain management
     Human resource management in services
     Service project management
     Service development process management
     Service quality management
     Service marketing management
     Service-dominant logic of marketing
     Service communication
     Service value and pricing
     Service branding

3. Service Innovation and Design

     Service design methodology
     Service innovation theory
     Business model innovation
     Service value modeling and optimization
     Business service process modeling and design
     Social network and service innovation
     Innovation and service industry evolution
     Tools and techniques for IT service innovation and management
     Globalization of service innovation

4. Software Service Engineering

     Service oriented requirement engineering
     Service oriented architecture and engineering
     Service design methodology
     Model driven service engineering
     Service composition and convergence
     Service optimization methods
     Service development and implementation
     Domain oriented service engineering
     SaaS based software service engineering
     Service quality evaluation and assurance
     Service demand forecasting, pricing, and planning
     Data mining for service intelligence
     User contribution systems
     Mobile services

5. Cloud Computing and Services

     Cloud computing architectures and cloud solution design patterns
     Infrastructure, platform, application, business, social, and mobile clouds
     Self-service cloud portal, dashboard, and analytics
     Cloud quality management and Service Level Agreement (SLA)
     Cloud configuration, performance, and capacity management
     Cloud migration service
     Services in cloud computing

6. Big Data and Big Services

     Foundational models for big data and big service
     Algorithms and programming techniques for big data processing
     Big data persistence and preservation
     Big data quality and provenance control
     Management issues of social network big data
     Privacy preserving big data analytics
     Algorithms and systems for big data search
     Visualization analytics for big data

7. Cognitive Service Science

     Idealized cognitive model
     Big data and cognitive service
     Mathematical models describing cognitive processing
     Cognitive linguistics
     Context-aware service computation
     Self-adaptable service computation

Application, Industry and Education Track

The Applications, Industry and Education Track papers should generally have results from (ideally) real world development, deployment, and experiences delivering solutions of serviceology whereas research track papers should generally have either theoretical results or early implementation/prototype demonstrations. Additionally, an Applications, Industry and Education track paper can be structured like an "experience report" paper where one important section is "Lessons learned" or general advices gained from the experience. Other appropriate sections are general background on the solutions, overview of the solutions, and directions for future innovation and improvements.

1. Applications and Industry Practice

     Public Services: including services in public sectors, e.g. healthcare, government, education, transportation and logistics, traffic control, telecommunication, smart city, etc.
     Private Services: including production services such as small business, distribution, retailing, etc; and life services such as service for social and cultural events, e-business services, social-network services, smart home services, etc.
     Services in industrial sectors and manufacturing servitization
     Other modern services applications

2. Education and Curricula Development

     Service science education and curricula design
     Methodology and practice of service science curricula design
     E-learning and MOOC course development on service science
     Practice and experience of teaching and learning of service science
     Professional requirement and development in modern service sectors
     Case study for service science education

Working-In-Progress (WIP) Track

The ICSS 2016 WIP track provides a forum for attendees to illustrate and discuss their latest services computing related plans, projects, and advances, even when implementation or deployment has not been fully completed. However, the work should be advanced enough as to allow attendees to appreciate its scope and significance. Submissions may target on any topic related to the conference, describing on-going work at your institution. The Work-in-Progress papers will be an important way of sharing what is happening in serviceology research and applications, so please feel free to submit your papers to ICSS 2016.
Last updated by Dou Sun in 2016-03-20
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