Lehrstuhl für Wirtschaftsinformatik, insbesondere im Dienstleistungsbereich

Adresse:
Lange Gasse 20
90403 Nürnberg


Forschungsbereiche

Digitalisierung Analytics/Business Intelligence
Digitalisierung Geschäftsprozesse
Digitalisierung Services
Weitere Forschung (Lehrstuhl für Wirtschaftsinformatik, insb. im Dienstleistungsbereich)


Forschungsprojekt(e)


(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)



Publikationen (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.
Reinfelder, L., Landwirth, R., & Benenson, Z. (2019). Security Managers Are Not the Enemy Either. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. (pp. 1-7). ACM.
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.
Hille, M. (2019). Utilizing Product Context Information to Develop New Digital Services in the Construction Industry. In Proceedings of the 14. Internationale Tagung Wirtschaftsinformatik. Siegen, DE.
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
Grottke, M., Hacker, J., & Durst, C. (2018). Which Factors Determine Our Online Social Capital? An Analysis Based on Structural Equation Modelling. Ajis : Australasian Journal of Information Systems, 22. https://dx.doi.org/10.3127/ajis.v22i0.1656
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.
Foehl, U., & Siefert, C. (2018). A TYPOLOGY OF CONSUMER BRAND RELATIONSHIPS. In INTERDISCIPLINARY MANAGEMENT RESEARCH XIV (IMR 2018) (pp. 1722-1737). Opatija, HR: OSIJEK: JOSIP JURAJ STROSSMAYER UNIV OSIJEK.
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.
Kröckel, P., Piazza, A., & Neuhofer, K. (2017). Dynamic Network Analysis of the Euro2016 Final: Preliminary results. (pp. 114-119). Vienna House Diplomat Prague, Czech Republic, CZ: IEEE.
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.
Piazza, A., Kröckel, P., & Bodendorf, F. (2017). Emotions and fashion recommendations: evaluating the predictive power of affective information for the prediction of fashion product preferences in cold-start scenarios. In Proceedings of the International Conference on Web Intelligence (pp. 1234-1240). Leipzig, Germany, DE: New York, NY, USA: ACM.
Zagel, C., Piazza, A., Petrov, Y., & Bodendorf, F. (2017). SciencOmat: A Gamified Research Platform for Evaluating Visual Attractiveness. In Freund LE, Cellary W (Eds.), Advances in The Human Side of Service Engineering. AHFE 2017. Advances in Intelligent Systems and Computing. (pp. 50--60). Cham: Springer International Publishing.
Piazza, A., Zagel, C., Haeske, J., & Bodendorf, F. (2017). Do You Like According to Your Lifestyle? A Quantitative Analysis of the Relation Between Individual Facebook Likes and the Users' Lifestyle. In Freund LE, Cellary W (Eds.), Advances in The Human Side of Service Engineering. AHFE 2017. Advances in Intelligent Systems and Computing. (pp. 128--139). Cham: Springer International Publishing.
Hacker, J., Wickramasinghe, N., & Durst, C. (2017). Can Health 2.0 Address Critical Healthcare Challenges? Insights from the Case of How Online Social Networks Can Assist in Combatting the Obesity Epidemic. Ajis : Australasian Journal of Information Systems, 21. https://dx.doi.org/10.3127/ajis.v21i0.1357
Eigner, I., Tajak, L., Bodendorf, F., & Wickramasinghe, N. (2017). Readmission risk prediction for patients after total hip or knee arthroplasty. In Proceedings of the Australasian Conference on Information Systems 2017. Hobart, AU.
Hacker, J., Bodendorf, F., & Lorenz, P. (2017). Helper, Sharer or Seeker? – A Concept to Determine Knowledge Worker Roles in Enterprise Social Networks. In J. M. Leimeister, W. Brenner (Eds.), Proceedings der 13. Internationalen Tagung Wirtschaftsinformatik (WI 2017) (pp. 668-682). St. Gallen: St. Gallen.
Hamper, A., Eigner, I., Wickramasinghe, N., & Bodendorf, F. (2017). Rehabilitation Risk Management: Enabling Data Analytics with Quantified Self and Smart Home Data. In Health Informatics Meets eHealth (pp. 152-160). Wien, AT.
Hacker, J., Bernsmann, R., & Riemer, K. (2017). Dimensions of User Behaviour in Enterprise Social Networks. In Remko Helms, Jocelyn Cranefield, Jurriaan van Reijsen (Eds.), Social Knowledge Management in Action: Applications and Challenges (pp. 125-146). Cham: Springer International Publishing.

Zuletzt aktualisiert 2019-24-04 um 10:18