Prof. Dr. Freimut Bodendorf



Organisation


Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich



Project lead


(Intelligentes Servicesystem für lokal vernetzte Prosumer; Teilprojekt: Anforderungsanalyse, Entwicklung der Motivationsstrategie und des Geschäftsmodells, Test und Evaluierung):
INSELpro: Intelligentes Servicesystem für lokal vernetzte Prosumer; Teilprojekt: Anforderungsanalyse, Entwicklung der Motivationsstrategie und des Geschäftsmodells, Test und Evaluierung
Prof. Dr. Freimut Bodendorf; Prof. Dr. Cornelia Niessen
(01/09/2018 - 31/08/2021)


Other Research Activities

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Editorship of a scientific journal / series
Prof. Dr. Freimut Bodendorf
Member of editorial board - Journal of Business Research (ISSN: 0148-2963)
(01/01/2017)
Editorship of a scientific journal / series
Prof. Dr. Freimut Bodendorf
Member of editorial board - Journal of Decision Systems (ISSN: 1246-0125)
(01/01/2017)


Publications (Download BibTeX)

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Eigner, I., Bodendorf, F., & Wickramasinghe, N. (2019). A theoretical framework for research on readmission risk prediction. In 32ND Bled eConference Humanizing Technology for a Sustainable Society (pp. 387 - 410). Bled, SI.
Eigner, I., Bodendorf, F., & Wickramasinghe, N. (2019). Predicting high-cost patients by Machine Learning: A case study in an Australian private hospital group. In Oliver Eulenstein, Hisham Al-Mubaid and Qin Ding (Eds.), Proceedings of 11th International Conference on Bioinformatics and Computational Biology (pp. 94-103). Honolulu, Hawaii, US.
Eigner, I., & Bodendorf, F. (2018). An intelligent decision support system for readmission prediction in healthcare. it - Information Technology, 60(4), 195–205. https://dx.doi.org/10.1515/itit-2018-0003
Piazza, A., Lutz, C., Schuckay, D., Zagel, C., & Bodendorf, F. (2018). Emotionalizing e-commerce pages: empirical evaluation of design strategies for increasing the affective customer response. In Proceedings of the The Human Side of Service Engineering (HSSE). Orlando, Florida, USA.
Hacker, J., & Bodendorf, F. (2018). Enablers and Inhibitors of Engagement in Enterprise Social Networks from the Viewpoint of Executives – A Case Study in a Technology Company. In Paul Drews, Burkhardt Funk, Peter Niemeyer, Lin Xie (Eds.), Tagungsband der Multikonferenz Wirtschaftsinformatik (Band 1) (pp. 145-156). Lüneburg: Lüneburg: Leuphana Universität.
Schott, P., Thomas, S., Schaft, T., & Bodendorf, F. (2018). Making IoT run- Opportunities and Challenges for Manufacturing Companies. International Journal of Hyperconnectivity and the Internet of Things, 1(2), 26-44.
Hacker, J., Bodendorf, F., & Lorenz, P. (2017). A framework to identify knowledge actor roles in enterprise social networks. Journal of Knowledge Management, 21(4), 817-838. https://dx.doi.org/10.1108/JKM-10-2016-0443
Schott, P., Lederer, M., Niedermaier, S., Bodendorf, F., & Hafner, M. (2017). A Maturity Model to Organize the Multidimensionality of Digitalization in Smart Factories. In Yilmaz, Ö.F.; Tüfekci, S. (Eds.), Handbook of Research on Applied Optimization Methodologies in Manufacturing Systems. (pp. 354 - 374).
Piazza, A., Süßmuth, J., & Bodendorf, F. (2017). Body measure-aware fashion product recommendations: evaluating the predictive power of body scan data. In Toine Bogers, Marijn Koolen, Bamshad Mobasher, Alan Said, Alexander Tuzhilin (Eds.), Proceedings of the RecSys 2017 Workshop on Recommendation in Complex Scenarios co-located with 11th ACM Conference on Recommender Systems (RecSys 2017) (pp. 5-8). Como, Italy, IT: Aachen: CEUR-WS.org.
Hacker, J., & Bodendorf, F. (2017). Conceptualising and Understanding User Behaviour in Enterprise Social Networks: A Qualitative Analysis. In Proceedings of the 28th Australasian Conference on Information Systems. Hobart, Australien.

Last updated on 2018-28-11 at 09:47