H
Helmut Krcmar
Researcher at Technische Universität München
Publications - 1427
Citations - 18761
Helmut Krcmar is an academic researcher from Technische Universität München. The author has contributed to research in topics: Information system & Computer science. The author has an hindex of 53, co-authored 1355 publications receiving 16343 citations. Previous affiliations of Helmut Krcmar include Ludwig Maximilian University of Munich & New York University.
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Proceedings ArticleDOI
Leveraging the Wisdom of Crowds: Designing an IT-Supported Ideas Competition for an ERP Software Company
TL;DR: An approach for finding and leveraging innovations for an ERP software company among its user base by designing an IT-supported ideas competition within the SAP UCC (University Competence Center) User Group to use the potentials of the collective intelligence of this crowd.
Proceedings Article
The Business Perspective on Cloud Computing - A Literature Review of Research on Cloud Computing
TL;DR: A shifting focus from technological aspects to a broader understanding of cloud computing as a new IT delivery model is revealed and research on structures, processes and employee qualification to govern cloud services is at an early stage.
Do Point of Sale RFID-Based Information Services Make a Difference?
TL;DR: In this article, the authors developed a mobile phone application prototype based on Near Field Communication (NFC) to obtain product information at the Point of Sale (PoS) and conducted two focus groups (10 consumers, 10 sales assistants) with an existing prototype and real consumers, as well as sales personnel.
Journal ArticleDOI
WESSBAS: extraction of probabilistic workload specifications for load testing and performance prediction—a model-driven approach for session-based application systems
TL;DR: An approach that aims to automate the extraction and transformation of workload specifications for load testing and model-based performance prediction of session-based application systems and shows that the extracted workloads match the measured workloads with high accuracy.
Journal ArticleDOI
Tweeting to Feel Connected: A Model for Social Connectedness in Online Social Networks
TL;DR: Results indicate that social awareness, social presence, and usage frequency have a direct effect on social connectedness, whereas network size has a moderating effect.