Informatics in Economy: 15th International Conference

Informatics in Economy: 15th International Conference, IE 2016, Cluj-Napoca, Romania, June 2-3, 2016, Revised Selected Papers (Lecture Notes in Business Information Processing)

This book constitutes revised selected papers from the 15th International Conference on Informatics in Economy, IE 2016, held in Cluj-Napoca, Romania, in June 2016.

The 10 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 31 extended paper submissions for this book. They are organized in sections on Distributed Systems, Information Systems Adoption, Knowledge Representation and Processing, Domain-specific Data Analysis, and Computational Models. The volume also contains one invited keynote paper in full-paper length.

Table of Contents

Chapter 1. Conceptual Modelling Methods: The AMME Agile Engineering Approach
Chapter 2. Optimizing Service Level Agreements in Peer-to-Peer Supply Chain Model for Complex Projects Management
Chapter 3. A Brief Overview of Semantic Interoperability for Enterprise Information Systems
Chapter 4. Accepting Information Technology Changes in Universities – A Research Framework
Chapter 5. A Survey on Social Learning Analytics: Applications, Challenges and Importance
Chapter 6. Students in Social Media: Behavior, Expectations and Views
Chapter 7. Designing, Implementing and Testing the Acoustic Component of a Text to Speech System for the Romani …
Chapter 8. Learning Style in Ontology-Based E-Learning System
Chapter 9. Getting Meaning in the Online Environment of E-Commerce by Using Semantic Web Technologies
Chapter 10. Modeling and Simulating a Call Center Activity
Chapter 11. Using Non-parametric Order-Alpha Hyperbolic Efficiency Estimators to Assess Aspects of Melanoma in a …
Chapter 12. Forecasting Solutions for Photovoltaic Power Plants in Romania
Chapter 13. Reflecting on Romanian Universities Ranking: An Entropy-Based Approach to Evaluate Scientific Research
Chapter 14. Insights of Adaptive Learning Approach to Modeling Expectations: A Numerical Comparison with Adaptive Expectations and Rational Expectations