Conference Information
ICEBE 2019: International Conference on e-Business Engineering
Submission Date:
2019-07-18 Extended
Notification Date:
Conference Date:
Shanghai, China
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Conference Location
Call For Papers
The IEEE International Conference on e-Business Engineering (ICEBE) is a prestigious conference, and a flagship event co-sponsored by IEEE Technical Committee on Business Informatics and Systems (TCBIS, formerly known as TC on Electronic Commerce), and the National Engineering Laboratory for E-Commerce Technologies (NELECT). Since 2003, ICEBE has been provided as a high-quality international forum for researchers, engineers and business specialists to exchange the cutting-edge ideas, findings and experiences of e-business.

Constant evolution in IT technologies have enabled enterprises to use e-business and its applications in a variety of areas, such as developing innovative business models, developing new marketing and sales channel, having the ability of rapid sense-and-response, etc. However, before such applications can be developed and their benefits realised, enterprises need to address the challenging tasks of first using various existing complex technologies to build such systems and then adapt to the changed computing paradigm, while remaining competitive. Based on these essential complexities in e-business, ICEBE 2019 invites papers from researchers and practitioners that focusses on the aforementioned areas and looks at them from an extensive coverage of system, software, service and business. All of the accepted and presented papers in the conference will be included in the conference proceedings published by IEEE Computer Society. The proceedings will be submitted for inclusion in the IEEE Xplore Digital Library and will also be submitted to EI and INSPEC for indexing.

We invite submissions of high-quality papers describing fully developed results or on-going foundational and applied work on the following topics:

    Agent for e-Business Track
        Agent-mediated e-commerce systems
        Agent-based artificial markets
        Trading, negotiation, auction and mechanism design
        Collective decision making and coordination for e-Business
        Trust and reputation in online agent systems
        Personal agents and recommender systems
        Agent based web mining, text mining and information retrieval
        Agent or actor oriented analysis in social networks

    Data and Big Data for e-Business Track
        Data and knowledge engineering for e-business
        Workflow and business process tools and management for e-business
        Semantic Web, Web 2.0, and business intelligence
        Stream processing, complex event processing and continuous queries
        E-business marketing, data mining, and relationship management
        Machine learning, cybernetics, and agents for e-business services management
        Knowledge management and e-learning
        Big data and super computing
        Big data analytics for e-business
        Super computing and simulation of e-businesses
        Applications of super computing

    Internet of Things (IoT) and Edging/Fog Computing Track
        Legal perspectives in IoT-based business service
        IoS (Internet of Services) plus IoT
        New business models and value map
        Auto-organization on context, exchange or supply chain
        Architectures and platforms of IoT applications
        Machine learning and Evolutionary Computing for IoT applications
        Edging/Cloud Computing for Smart IoT
        Smart manufacturing and Industrial IoT
        Smart cities and internet of vehicles
        Control and decision making for smart IoT
        Security and privacy for smart IoT

    Mobile and Autonomous Computing Track
        Mobile and pervasive methods, applications and integrated solutions
        Sensor systems and RFID applications
        Ubiquitous content access
        Context awareness and smart environments
        Resource discovery of mobile services
        3G technology and services for e-business
        Social networks and social behavior modeling in mobile commerce

    Security, Privacy, Trust, and Credit Track
        Security, privacy and trust methods and solutions for enabling e-business
        Open source technologies and components for e-business
        Open source version management
        Authentication in e-business

    Service-Oriented and Cloud Track
        Service process modeling
        Service quality assurance
        Service design methodology
        Service optimization
        Service composition
        Service QoS optimization
        Service security
        Service requirement collection, specification, and analysis
        Data- and computation-intensive services
        Business intelligence and analytics for services
        XaaS (X as a service including Iaas, PaaS, SaaS)
        Infrastructure as a Service, Platform as a Service, Application as a Service
        Extreme scalability, high availability, elasticity, and reliability in a cloud
        Multi-tenancy, security and privacy in clouds
        Programming models and transaction models for the cloud
        Cloud business support services and operational support 

    Software Engineering for e-Business Track
        Design methods, tools and science for e-business
        Models, platforms and applications for e-business
        Components, services and solutions for e-business
        Aspects of green business and green commerce
        Cloud and mobile software engineering
        Service-oriented software engineering

    Emerging Ecommerce Supporting Technologies (Blockchain / Nature Language Engineering / Smart Brokers) Track
        Online credit and reputation evaluation
        Electronic contract
        Electronic invoice
        Internet Finance/Manufacturing/Farm
        Ecommerce services and infrastructure
        Monitoring and supporting services for Ecommerce
        Ecommerce laws and standards
        Blockchain security models
        Blockchain architectures for efficient processing
        Applications of blockchain

    Industry Track: Deliver the Intelligent Enterprise
        Analytics with Big Data
        Industry 4.0 and Smart Manufacturing
        Internet of Things
        Enterprise usage with Machine Learning
        Trusted and traceable network with Blockchain
Last updated by Maxwell Nee in 2019-07-01
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