2016 4th International Conference on Enterprise Systems ES

活动简介

ES 2016 will be held in Melbourne, Australia, November 2-3, 2016. The conference is hosted by Deakin University, Australia.
The Enterprise Systems conference series is jointly supported by IEEE Systems, Man, and Cybernetics Society Technical Committee on Enterprise Architecture and Engineering and IEEE Systems, Man, and Cybernetics Society Technical Committee on Enterprise Information Systems, and technically sponsored by IEEE Systems, Man, and Cybernetics Society.
Previous Enterprise Systems conferences were held in Cape Town, South Africa (ES 2013), and in Shanghai, China (ES 2014), and in Basel, Switzerland (ES 2015).

征稿信息

重要日期

2016-06-22

初稿截稿日期

2016-07-25

初稿录用日期

2016-08-10

终稿截稿日期

征稿范围

Special Session: IT Agility
Enterprise Modelling & Integration
Enterprise Architecture & Engineering
Maturity Models for Enterprise Architecture & Engineering
Maintenance and Evolution of Enterprise Architecture & Engineering
Models and Frameworks for Enterprise Architecture & Engineering
Business-IT Alignment
Enterprise Architecture Adoption and Governance
Methods, Processes and Patterns for Enterprise Architecture & Engineering
Enterprise Architecture & Engineering and Service Oriented Architecture (SOA)
Service Design
Organizational Theory and System Development
Decision Support Systems
Enterprise Knowledge Engineering and Knowledge Management
Enterprise Systems for Business Process Management
Enterprise Systems for Case Management
Information integration and interoperability
Cross-organizational collaboration and virtual enterprise
Integration of (legacy) enterprise applications and information
Information Governance
Cloud computing
Industry 4.0
Enterprise Systems for e-Government
Big Data: Innovative approaches for data collection (e.g., sensor-based wearable devices, location-based mobile devices) and data analysis (e.g., new econometrics, machine learning, decision science models) of big data
Big Data: New methods to extract business intelligence from structured and unstructured business data (e.g. data in the form of text, video, audio, link structure, etc.)
Big Data: New methods for the creation, sharing and reuse of big data
Big Data: Tools and technologies for deploying and managing big data
Big Data: New approaches to combine multiple methods of research on big data
Big Data: New methods introduced from reference disciplines (e.g. statistics, biology, medical science, computer science, physics, etc.) for the business analysis of big data
Big Data: New methods emerging from recent big data innovations in fields such as healthcare, finance, entertainment and smart businesses
Big Data: New methods to ensure the security and privacy of big data
Privacy Preserving: Privacy Protection
Privacy Preserving: Smart device information leaks
Privacy Preserving: Trusted and Trustworthy Computing
Privacy Preserving: Privacy Preservation in Data Release
Privacy Preserving: Cloud Security
Privacy Preserving: Security Management