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Prof. Dr. Tim Straub
General business administration, in particular management of digital technologies
Consultation hour:
by appointment
+49 7121 271 3149
tim.straub@reutlingen-university.de
Building 5, Room 211
- Representative construction of the ESB
- Programme Director BSc International Management Double Degree (IMX)
- Programme Leader of BSc International Management Double Degree German-Mexican
- Management Information Systems
- Platform Economics
- Business Analytics
- Scientific Work
- Incentive Engineering
- Online Collaboration and Participatory Platforms
- User Behavior and User Experience in IS
- Experimental Economics
- MetaLearn
- 2023-today Professor for General Business Studies, particularly Management of Digital Technologies
- 2021-2023 Interim Professor for Information Systems and Business Analytics
- 2019-2021 Department Lead of Information Management and Analytics of the FZI Forschungszentrum Informatik
- 2017-2019 Project Lead in the department Information Management and Analytics of the FZI Forschungszentrum Informatik
- 2017 Doctorate at Karlsruhe Institute for Technology
- 2013 – 2017 Research assistant and doctoral candidate at the Karlsruhe Service Research Center of the Karlsruhe Institute for Technology
- 2010 – 2013 Master of Science in Information Engineering and Management at Karlsruhe Institute for Technology
- 2006 – 2010 Bachelor of Science in Information Engineering and Management at Karlsruhe Institute for Technology
Peer-rewiewed journal and conference articles:
Henger, R., Straub, T., & Weinhardt, C. (2023). Tradable planning permits in the field: Executive experimental results from Germany. Land use policy, 127, 106559.
Stein, C., Straub, T., Jachimowicz, J., & Fegert, J. (2023). Same same but different-Towards a taxonomy for digital involvement projects. In ECIS 2023 Proceedings.
Kiefer, D., Van Dinther, C., & Straub, T. (2022). The time has come–application of artificial intelligence in small-and medium-sized enterprises. In Wirtschaftsinformatik 2022 Proceedings, 21-23 February 2022, Nuremberg (online). AIS Electronic Library (AISeL).
Willrich, S., Straub, T., & Badewitz, W. (2021). Social Welfare Through Blockchain-Based e-Voting. In ECIS 2021 Proceedings.
Zehnder, P., Wiener, P., Straub, T., & Riemer, D. (2020). StreamPipes connect: semantics-based edge adapters for the IIoT. In The Semantic Web: 17th International Conference, ESWC 2020, Heraklion, Crete, Greece, May 31–June 4, 2020, Proceedings 17 (pp. 665-680). Springer International Publishing.
Willrich, S., Straub, T., & Weinhardt, C. (2020). Blockchain-based Governance for Social Welfare in the Forestry. In Wirtschaftsinformatik (Community Tracks) (pp. 269-274).
Fegert, J., Pfeiffer, J., Golubyeva, A., Pfeiffer-Leßmann, N., Hariharan, A., Renner, P., ... & Weinhardt, C. (2019, December). Take Part Prototype: Creating New Ways of Participation Through Augmented and Virtual Reality. In Proceedings of 29th Workshop on Information Technologies and Systems (WITS), Munich, Germany.
Kloker, S., Straub, T., & Weinhardt, C. (2019). Moderators for partition dependence in prediction markets. Group Decision and Negotiation, 28, 723-756.
Willrich, S., Melcher, F., Straub, T., & Weinhardt, C. (2019). Towards More Sustainability: A Literature Review Where Bioeconomy Meets Blockchain. ICETE (1), 113-120.
Kloker, S., Straub, T., Morana, S., & Weinhardt, C. (2018). Fraud and manipulation prevention in prediction markets. In Proceedings of the 13th international conference, DESRIST (pp. 3-6).
Kloker, S., Straub, T., Morana, S., & Weinhardt, C. (2018). The effect of social reputation on retention: Designing a social real-time Delphi platform. In ECIS 2018 Proceedings.
Hawlitschek, F., Kranz, T. T., Elsner, D., Fritz, F., Mense, C., Müller, M. B., & Straub, T. (2017). Sharewood-Forest–A Peer-to-Peer Sharing Economy Platform for Wild Camping Sites in Germany. HOHENHEIM DISCUSSION PAPERS IN BUSINESS, ECONOMICS AND SOCIAL SCIENCES, 265.
Kloker, S., Straub, T., Zentek, T., & Weinhardt, C. (2017). Partition Dependence Bias in Group Forecasting. HOHENHEIM DISCUSSION PAPERS IN BUSINESS, ECONOMICS AND SOCIAL SCIENCES, 9.
Kloker, S., Straub, T., & Weinhardt, C. Partition Dependence Bias in Prediction Markets. In Collective Intelligence 2017: Proceedings.
Kloker, S., Straub, T., & Weinhardt, C. (2017). Designing a crowd forecasting tool to combine prediction markets and real-time Delphi. In Designing the Digital Transformation: 12th International Conference, DESRIST 2017, Karlsruhe, Germany, May 30–June 1, 2017, Proceedings 12 (pp. 468-473). Springer International Publishing.
Hoffmann, G., Straub, T., Wagenknecht, T., Niemeyer, C., Lisson, C., Kloker, S., Zentek, T., Pfeiffer, J. & Weinhardt, C. (2017). Assistive Spatial Civic Participation – “Take Part”. . In Wirtschaftsinformatik 2017.
Straub, T., Teubner, T., & Weinhardt, C. (2016). Risk taking in online crowdsourcing tournaments. In 2016 49th Hawaii International Conference on System Sciences (HICSS) (pp. 1851-1860). IEEE.
Henger, R., Bizer, K., Blecken, L., Fahrenkrug, K., Ferber, U., Gutsche, J.M., Kranz, T., Melzer, M., Meub, L., Proeger, T., Siedentop, S., Schmidt, T., Straub, T., Tack, A. & Weinhardt, C. (2016). Ergebnisse und Implikationen aus dem Modellversuch zum Handel mit Flächenzertifikaten. Flächennutzungsmonitoring VIII. Flächensparen – Ökosystemleistungen – Handlungsstrategien. Berlin: Rhombos, IÖR Schriften 69, 11-22.
Kloker, S., Kranz, T. T., Straub, T., & Weinhardt, C. (2016). Shouldn’t collaboration be social?–Proposal of a social real-time Delphi. In Proceedings of the 2nd Karlsruhe Service Summit Research Workshop.
Straub, T., Hawlitschek, F., & Weinhardt, C. (2016, February). Towards a guideline for conducting economic experiments on Amazon’s Mechanical Turk. In Proceedings of the 2nd Karlsruhe Service Summit Research Workshop.
Straub, T., Gimpel, H., Teschner, F., & Weinhardt, C. (2015). How (not) to incent crowd workers: payment schemes and feedback in crowdsourcing. Business & Information Systems Engineering, 57, 167-179.
Straub, T., Gimpel, H., Teschner, F., & Weinhardt, C. (2014). Feedback and performance in crowd work: a real effort experiment. In ECIS 2014 Proceedings.
Straub, T., Gimpel, H., & Teschner, F. (2014). The negative effect of feedback on performance in crowd labor tournaments. Collective Intelligence 2014: Proceedings.
Straub, T., Kohler, M., Hottum, P., Arrass, V., & Welter, D. (2013). Customer integration in service innovation: An exploratory study. Journal of technology management & innovation, 8(3), 25-33.
Book chapters:
Kloker, S., Straub, T., Kranz, T. T., & Weinhardt, C. (2023). Delphi Markets. In Delphi Methods In The Social And Health Sciences: Concepts, applications and case studies (pp. 113-134). Wiesbaden: Springer Fachmedien Wiesbaden.
Dann, D., Knierim, M. T., Peukert, C., Staudt, P., & Straub, T. (2021). Information and Market Engineering at KIT: Quo Vadis?. Market Engineering: Insights from Two Decades of Research on Markets and Information, 1-19.
Kloker, S., Straub, T., Kranz, T. T., & Weinhardt, C. (2019). Delphi-Märkte. Delphi-Verfahren in den Sozial-und Gesundheitswissenschaften: Konzept, Varianten und Anwendungsbeispiele, 125-148.
Bischhoffshausen, J. K. V., Hottum, P., & Straub, T. (2015). Service co-creation. Fundamentals of Service Systems, 261-296.
Monographs:
Straub, T. J. (2017). Incentive Engineering for Collaborative Online Work: The Case of Crowdsourcing (Doctoral dissertation, Dissertation, Karlsruhe, Karlsruher Institut für Technologie (KIT), 2017).
Other publications:
Henger, R., Daniel, S., Schier, M., Blecken, L., Fahrenkrug, K., Melzer, M., Bizer, K., Meub, L., Proeger, T., Gutsche, J.M., Tack, A., Ferber, U., Schmidt, T., Siedentop, S, Straub, T., Kranz, T. & Weinhardt, C. (2019). Modellversuch Flächenzertifikatehandel. Realitätsnahes Planspiel zur Erprobung eines überregionalen Handelssystems mit Flächenausweisungszertifikaten für eine begrenzte Anzahl ausgewählter Kommunen. Abschlussbericht. Dessau-Roßlau.= UBA-Texte, 116, 2019.
Zentek, T., Straub, T. & Cord, T. (2019). Evaluation und Vergleich einer machine-learning sowie regelbasierten Anwesenheitserkennungen in betreuten „Smart-Home“-Wohnungen. Meeting Abstract In 64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V.(GMDS).