Perspectives in Business Informatics Research

Perspectives in Business Informatics Research

17th International Conference, BIR 2018, Stockholm, Sweden, September 24-26, 2018, Proceedings

Stirna, Janis; Grabis, Janis; Nurcan, Selmin; Zdravkovic, Jelena

Springer International Publishing AG

08/2018

267

Mole

Inglês

9783319999500

15 a 20 dias

454

Descrição não disponível.
Business, People and System Resilience.- External Cybersecurity Incident Reporting for Resilience.- Conceptual Representation of the GDPR: Model and Application Directions.- Trust Handling Framework for Networks in Cyber Physical Systems of Industry 4.0.- Resilient Collaboration.- Getting to Win-Win in Industrial Collaboration under Coopetition: A Strategic Modeling Approach.- Organizational Transformation for Virtual Team Integration - A Technological Perspective.- Defining Transformational Patterns for Business Model Innovation.- Digital Transformation.- Understanding the Transformation towards Industry 4.0.- Exploring the Determinants of IoT Adoption: Findings from a Systematic Literature Review.- Digital Innovation Based on Digital Signage: Method, Categories and Examples.- Information Technology Management.- Efficient and Sustainable Risk Management in Large Project Portfolios.- Viable Systems Model in Triple-Agile Context.- Enterprise Systems and Data Analytics.- MergingSituation Analytics and Model-based User Interface Development for Building Runtime-Adaptive Business Applications.- Agile Software Engineering Practices and ERP Implementation with focus on SAP Activate Methodology.- Interviews Aided with Machine Learning.- Business and Information Systems Development.- A projection-based approach for development of domain-specific languages.- Utilizing Customer Feedback for Business Process Performance Analysis.- Teaching Business Process Development through Experience-Based Learning and Agile Principle.
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digital transformation;technology management;information systems applications;enterprise information systems;business analytics;business information systems;data analysis