Information Systems & Business Process Management

Information Systems, Information and Communication Technologies (ICT) and the Internet are the most powerful tools for effective information management (i.e., data collection, processing, analysis, dissemination, transforming data into information and knowledge). The challenge for managers is to make use of and manage ICT in order to reengineer and streamline business processes, to facilitate decision making and to create and maintain competitive advantage. Emphasis is given not only on the role of Information Systems, but also on decision support methods/techniques as tools for creating value within the company/organization towards digital integration, operational excellence and organizational effectiveness.

ISeB Priorities on Information Systems & Business Process Management:

  • Typologies of Information Systems, IT infrastructure technologies (e.g., RFID, QR codes, smart cards, sensors, mobile devices)
  • Analysis, Design and Management of Information Systems, Information Management, Open Data, Business Intelligence
  • Information Systems Strategy, Information Systems and Competitive Advantage
  • Knowledge Management, Information Systems and Decision Making
  • Information Systems and the Extended Enterprise, Information Systems and Innovation
  • Enterprise Application Integration (EAI), Enterprise Resource Planning Systems (ERP), Customer Relationship Management Systems (CRM), Partners Relationship Management Systems (PRM)
  • Information Systems in vertical domains including eGovernment, eHealth, eLearning, and eParticipation
  • Business Process Management, Business Process Reengineering (BPR) and Enterprise Architectures
  • Decision Support Tools in Production and Quality Management, Statistical Quality Control, Business Statistics, applications of ICTs in the aforementioned areas
  • ICTs and Decision Support Tools in Logistical Operations and Supply Chain Management, Integrated Logistics Information Systems (LIS), Supply Chain and Closed-Loop Supply Chain Analytics (e.g., modeling and optimization of (closed-loop) supply chain decisions, (closed-loop) supply chain performance assessment, demand forecasting