Decision-making is a crucial, yet challenging mission in enterprise management. It is still made based on a reactive approach rather than on facts and proactive approaches. This is often due to unknown correlation between data and goals, conflicting goals and weak defined strategy. Enterprise success depends on fast and well-defined decisions taken by relevant policy makers and business actors in their specific area. Open business intelligent systems can be seen as a collection of decision support technologies and tools for enterprises to enable knowledge workers such as executives, managers, and analysts to make better and faster decisions. With the emergence of big data, it possible to explore new opportunities that will revolutionize business intelligence. These include data warehouse based decision support, Hadoop (development environment), sensor data, social media, machine learning and crowd sourcing. The aim of this workshop is provide a forum to review open business intelligent systems as an open innovation strategy and address their importance in revolutionizing knowledge processing in economics and business sustainability.
• Intelligent decision support systems
• Intelligent transport systems
• Crowdsourcing systems and application
• Multiagent systems and Data analytics
• Crowdsourcing, collaboration, and problem solving with social media
• Social media analytics
• Machine learning and decision support systems
• Opinion mining and sentiment analysis
• Business models for innovative use of big data
• Real-time decision making, forecasting, and fraud detection using big data
• Modeling big data and related decision scenarios
• Methodologies for innovations to handle large data sets
• Big data analytics in business applications
11月28日
2016
12月01日
2016
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