Research Challenges in Information Science

Data Analytics and Business Intelligence.- Toward Becoming a Data-Driven Organization: Challenges and Benefits.- A Big Data Conceptual Model to Improve Quality of Business Analytics.- How to measure in uence in social networks.- Developing a real-time tra c reporting and forecasting back-end system.- IoT Analytics Architectures: Challenges, solution proposals and future research directions.- Digital Enterprise and Technologies Structural Coupling, Strategy and Fractal Enterprise Modeling.- Systems-Thinking Heuristics for the Reconciliation of Methodologies for Design and Analysis for Information Systems Engineering.- An Ontology of IS Design Science Research Artefacts.- Evolution of Enterprise Architecture for Intelligent Digital Systems.- Human Factors in Information Systems Online peer support groups for behaviour change: Moderation requirements.- User-Experience in Business Intelligence - A Quality Construct and Model to Design Supportive BI Dashboards.- FINESSE: Fair Incentives forEnterprise Employees.- Explainable Recommendations in Intelligent Systems: Delivery Methods, Modalities and Risks.- Participation in Hackathons: A Multi-Methods View on Motivators, Demotivators and Citizen Participation.- Information Systems Development and Testing A systematic literature review of blockchain-enabled smart contracts: platforms, languages, consensus, applications and choice criteria.- Scriptless testing at the GUI level in an industrial setting.- Improving Performance and Scalability of Model-Driven generated Web applications: An experience report.- TesCaV: An Approach for Learning Model-based Testing and Coverage in Practice.- Machine Learning and Text Processing Automatic Classi cation Rules for Anomaly Detection in Time-series.- Text Embeddings for Retrieval from a Large Knowledge Base.- Predicting Unemployment with Machine Learning Based on Registry Data.- Anomaly detection on data streams - A LSTM's diary.- Process Mining, Discovery, and Simulation Discovering