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Albert A. Angehrn
Researcher at INSEAD
Publications - 79
Citations - 1507
Albert A. Angehrn is an academic researcher from INSEAD. The author has contributed to research in topics: Competence (human resources) & Change management. The author has an hindex of 18, co-authored 79 publications receiving 1493 citations. Previous affiliations of Albert A. Angehrn include European Institute.
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Journal ArticleDOI
Designing mature internet business strategies: The ICDT model
TL;DR: In this article, a systematic approach to the analysis and classification of business-related Internet strategies, as well as a framework to guide the strategy-building process of companies aiming at redesigning or innovating their products and services in the light of new opportunities and competitive pressures generated by the spread of the Internet is presented.
Book ChapterDOI
Ontology-based user modeling for knowledge management systems
TL;DR: This paper is presenting a generic ontology-based user modeling architecture, (OntobUM), applied in the context of a Knowledge Management System (KMS), and it relies on a user ontology, using Semantic Web technologies, based on the IMS LIP specifications, and it is integrated in an ontological-based KMS called Ontologging.
Journal ArticleDOI
Understanding organizational dynamics of IT-enabled change: a multimedia simulation approach
TL;DR: The EIS Simulation is a new computer-based multimedia simulation that allows managers to experience the process of introducing an EIS in a fictitious organization and provides a first step in the development of a new generation of pedagogical tools.
Journal ArticleDOI
Using conversational agents to support the adoption of knowledge sharing practices
TL;DR: An agent-based system designed to support the adoption of knowledge sharing practices within communities based on a conceptual framework that identifies the pedagogical strategies best suited to support users through the various stages of the adoption process.
Journal ArticleDOI
Intelligent Decision Support Systems: A Visual Interactive Approach
TL;DR: Visual interactive modeling principles and modeling by example offer concrete guidelines for developing user-centered DSS generators that exploit the advantages of visual modeling while supplying active decision support through proper integration of AI techniques.