Dr Tobias Brandt

Tobias Brandt

Assistant Professor
Rotterdam School of Management (RSM)
Erasmus University Rotterdam

Profile

Tobias Brandt is Assistant Professor of Business Information Management at the Department of Technology and Operations Management at Rotterdam School of Management, Erasmus University.

Tobias' research investigates the digital transformation of the city. He particularly focuses on smart power systems, innovative urban mobility solutions, and an improved understanding of the dynamics of urban tourism and crime. Tobias' work has received best paper awards at both the International Conference on Information Systems and the Hawaii International Conference on System Sciences and he has published in leading journals, such as the Journal of Management Information Systems, Information & Management, and the European Journal of Information Systems. His research on urban mobility and spatial analytics has been supported by two Microsoft Azure for Research Awards and an IBM Faculty Award.

Before joining RSM, Tobias received his PhD from the University of Freiburg, Germany, from which he also holds a diploma degree in economics. He has been a visiting scholar with Lawrence Berkeley National Laboratory on multiple occasions, as well as with the University of Texas at Austin. Tobias is also co-founder of the urban data science startup Geospin, in which he continues to be involved. During the course of his career, Tobias has been involved in data science projects with a variety of industry partners, including Siemens, Bosch, and ZF.

Professional experience

Assistant Professor

Erasmus University Rotterdam
RSM - Rotterdam School of Management
Department of Technology and Operations Management

Publications

Key Publications (6)

Professional Publications (3)

Work in Progress (2)

Scholarly Publications (37)

  • T. Brandt, W. Ketter, L.M. Kolbe, D. Neumann & R.T. Watson (2018). Smart Cities and Digitized Urban Management. Business & Information Systems Engineering, 60 (3), 193-195. doi: 10.1007/s12599-018-0537-1
  • K. Klemmer, T. Brandt & S.A. Jarvis (2018). Isolating the Effect of Cycling on Local Business Environments in London. PLoS One (online), 13 (12), e0209090. doi: 10.1371/journal.pone.0209090
  • T. Brandt (2018). Interview with David Prendergast on “Mediating Between Technology and People in Smart City Transformations”. Business & Information Systems Engineering, 60 (3), 265-267. doi: 10.1007/s12599-018-0531-7
  • T. Brandt, S. Feuerriegel & D. Neumann (2018). Modeling Interferences in Information Systems Design for Cyberphysical Systems: Insights from a Smart Grid Application. European Journal of Information Systems, 27 (2), 207-220. doi: 10.1057/s41303-016-0030-1
  • C. Willing, K. Klemmer, T. Brandt & D. Neumann (2017). Moving in Time and Space - Location Intelligence for Carsharing Decision Support. Decision Support Systems, 99 , 75-85. doi: 10.1016/j.dss.2017.05.005
  • G. Gust, C.M. Flath, T. Brandt, P. Ströhle & D. Neumann (2017). How a Traditional Company Seeded New Analytics Capabilities. MIS Quarterly Executive, 16 (3), 215-230.
  • T. Brandt, S. Wagner & D. Neumann (2017). Evaluating a Business Model for Vehicle-Grid Integration: Evidence from Germany. Transportation Research. Part D, Transport and Environment, 50 , 488-504. doi: 10.1016/j.trd.2016.11.017
  • T. Brandt, J. Bendler & D. Neumann (2017). Social Media Analytics and Value Creation in Urban Smart Tourism Ecosystems. Information and Management, 54 (6), 703-713. doi: 10.1016/j.im.2017.01.004
  • C. Willing, T. Brandt & D. Neumann (2017). Intermodal Mobility. Business & Information Systems Engineering, 59 (3), 173-179. doi: 10.1007/s12599-017-0471-7
  • C. Willing, T. Brandt & D. Neumann (2017). Electronic Mobility Market Platforms - A Review of the Current State and Applications of Business Analytics. Electronic Markets, 27 (3), 267-282. doi: 10.1007/s12525-017-0257-2
  • S. Wagner, T. Brandt & D. Neumann (2016). In Free Float: Developing Business Analytics Support for Carsharing Providers. Omega, 59 (Part A), 4-14. doi: 10.1016/j.omega.2015.02.011
  • F. Lang, A. Fink & T. Brandt (2016). Design of automated negotiation mechanisms for decentralized heterogeneous machine scheduling. European Journal of Operational Research, 248 (1), 192-203. doi: 10.1016/j.ejor.2015.06.058
  • T. Brandt, J. Cudden, W. Ketter, D. Prendergast, M. Sakurai & R.T. Watson (2016). Smart cities and the role of IS research in improving urban life. In ICIS 2016
  • C. Willing, T. Brandt & D. Neumann (2016). Sharing is Caring - Understanding the Relationship Between the Sharing Economy and Sustainable Mobility. In ICIS 2016 Proceedings . AIS
  • G. Gust, C. Flath, T. Brandt, P. Ströhle & D. Neumann (2016). Bringing Analytics into Practice: Evidence from the Power Sector. In ICIS 2016 Proceedings . AIS
  • K. Klemmer, C. Willing, S. Wagner & T. Brandt (2016). Explaining Spatio-Temporal Dynamics in Carsharing: A Case Study of Amsterdam. In AMCIS 2016 Proceedings . AIS
  • J. Bendler, T. Brandt & D. Neumann (2016). An Open Door May Tempt a Saint - Data Analytics for Spatial Criminology. In ECIS 2016 Proceedings . AIS
  • N. Goby, T. Brandt, S. Feuerriegel & D. Neumann (2016). Business Intelligence for Business Processes: The Case of IT Incident Management. In ECIS 2016 Proceedings . AIS
  • C. Willing, G. Gust, T. Brandt, S. Schmidt & D. Neumann (2016). Enhancing Municipal Analytics Capabilities to Enable Sustainable Urban Transportation. In ECIS 2016 Proceedings . AIS
  • G. Gust, W. Biener, T. Brandt, K. Dallmer-Zerbe, D. Neumann & B. Wille-Haussmann (2016). Decision Support for Distribution Grid Planning. In 2016 IEEE International Energy Conference (ENERGYCON) . IEEE
  • T. Brandt & D. Neumann (2015). Chasing Lemmings: Modelling IT-induced Misperceptions about the Strategic Situation as a Reason for Flash Crashes. Journal of Management Information Systems, 31 (4), 88-108. doi: 10.1080/07421222.2014.1001258
  • S. Wagner, C. Willing, T. Brandt & D. Neumann (2015). Data Analytics for Location-Based Services: Enabling User-Based Relocation of Carsharing Vehicles. In ICIS 2015 Proceedings . AIS
  • S. Wagner, T. Brandt & D. Neumann (2015). Data Analytics in Free-Floating Carsharing: Evidence from the City of Berlin. In Proceedings of the 48th Hawaii International Conference on System Sciences . IEEE (Best Paper Award)
  • T. Brandt & D. Neumann (2014). When Common Knowledge Becomes Common Doubt -€“ Modeling IT-Induced Ambiguities about the Strategic Situation as Reasons for Flash Crashes. In Proceedings of the 47th Hawaii International Conference on System Sciences . IEEE (Nominated for Best Paper Award)
  • S. Wagner, T. Brandt & D. Neumann (2014). Smart City Planning – Developing an Urban Charging Infrastructure for Electric Vehicles. In ECIS 2014 Proceedings . AIS
  • J. Bendler, T. Brandt, S. Wagner & D. Neumann (2014). Investigating Crime-to-Twitter Relationships in Urban Environments – Facilitating a Virtual Neighborhood Watch. In ECIS 2014 Proceedings . AIS
  • N. DeForest, M. Stadler, G. Cardoso, T. Brandt & S. Narayanan (2014). Enabling broad adoption of distributed PV-storage systems via supervisory planning and control. In ACEEE Summer Study on Energy Efficiency in Buildings . ACEEE
  • S. Wagner, T. Brandt, M. Kleinknecht & D. Neumann (2014). In Free-Float: How Decision Analytics Paves the Way for the Carsharing Revolution. In ICIS 2014 Proceedings . AIS
  • T. Brandt, N. DeForest, M. Stadler & D. Neumann (2014). Power Systems 2.0: Designing an Energy Information System for Microgrid Operation. In ICIS 2014 Proceedings . AIS
  • J. Bendler, S. Wagner, T. Brandt & D. Neumann (2014). Taming Uncertainty in Big Data - Evidence from Social Media in Urban Areas. Business & Information Systems Engineering, 6 (5), 279-288. doi: 10.1007/s12599-014-0342-4
  • S. Wagner, T. Brandt & D. Neumann (2013). Beyond Mobility - An Energy Informatics Business Model for Vehicles in the Electric Age. In ECIS 2013 Proceedings . AIS
  • T. Brandt (2013). Information Systems in Automobiles – Past, Present, and Future Uses. In AMCIS 2013 Proceedings . AIS
  • S. Busse, V. El Khatib, T. Brandt, J. Kranz & L.M. Kolbe (2013). Understanding the Role of Culture in Eco-Innovation Adoption – An Empirical Cross-Country Comparison. In ICIS 2013 Proceedings . AIS
  • T. Brandt, S. Feuerriegel & D. Neumann (2013). Shaping a Sustainable Society: How Information Systems Utilize Hidden Synergies between Green Technologies. In ICIS 2013 Proceedings . AIS (Best Conference Theme Paper Award)
  • T. Brandt & C. Bodenstein (2012). Evaluating Scheduling Methods for Energy Cost Reduction in a Heterogeneous Data Center Environment. In ECIS 2012 Proceedings . AIS
  • T. Brandt, Y. Tian, M. Hedwig & D. Neumann (2012). Autonomic Management of Software as a Service Systems with Multiple Quality of Service Classes. In ECIS 2012 Proceedings . AIS
  • T. Brandt, S. Wagner & D. Neumann (2012). Road to 2020: IS-Supported Business Models for Electric Mobility and Electrical Energy Markets. In ICIS 2012 Proceedings . AIS

Doctoral Thesis

  • T. Brandt (2015, juli 9). IT Solutions for the Smart Grid: Theory, Application, and Economic Assessment. Albert-Ludwigs-Universität Freiburg (185 pag.) (Wiesbaden: Springer Vieweg) Prom./coprom.: D. Neumann & G. Müller.

Recognitions

Editorial positions (6)

  • European Journal of Operational Research

    Ad Hoc Reviewer

  • Journal of Management Information Systems

    Ad Hoc Reviewer

  • Journal of Strategic Information Systems

    Ad Hoc Reviewer

  • Applied Energy

    Ad Hoc Reviewer

  • Computers & Electrical Engineering

    Ad Hoc Reviewer

  • Business & Information Systems Engineering

    Co-Editor Special Issue

Side positions

  • Geospin GmbH

    Co-founder & CFO

Media

Media items

  • Twitter Wijst Onverwachte Toeristische Hotspots Aan

    By analysing tweets, the unexpected tourist hotspots of a city can be uncovered. Such places tend to be untouched, but have potential. This analysis has been done by researchers from Erasmus University - first in San Francisco,...

  • Twitteraars onthullen ondernemerskansen in toerisme

    Twitter can be a valuable source of information for entrepreneurs in the tourism industry. "By combining information in tweets, you can establish how large groups of visitors are using a city and where the emerging tourist...

  • Analyse big data Twitter biedt kansen voor toerisme

    By combining tweets intelligently, it is possible to analyse how large groups of visitors use a city and where the emerging tourist hotspots are. This discovery was made by Tobias Brandt of RSM after analysing 600,000 tweets sent...

  • Analyse big data Twitter biedt kansen voor toerisme

    By combining tweets intelligently, it is possible to see how large groups of tourists are making use of a city and where the emerging tourist hotspots are. So says Tobias Brandt of RSM after analysing 600,000 tweets sent in San...

  • Big data-analyse van tweets kan kansen voor toerisme onthullen

    By combining the information made available in tweets, it is possible to discover how big groups of visitors are using a city and where the upcoming tourist hotspots are located. This discovery was made by Tobias Brandt of RSM...

  • [Onderzoek] Openbare tweetdata: analyse big data Twitter biedt kansen voor toerisme

    Twitter is a source of information. By combining tweets intelligently, it is possible to discover how large groups of tourists make use of a city and where the emerging tourist hotspots are. This discovery was made by RSM's Tobias...

  • Big data-analyse van tweets kan kansen voor toerisme onthullen

    By combining the information available in tweets, it is possible to make clear how large groups of visitors are using a city and where the emerging tourist hotspots are. This discovery was made by RSM's Tobias Brandt after...

  • Big data-analyse van tweets onthult kansen voor toerisme

    One can combine the information available in tweets in order to establish how large groups of tourists use a city and where the tourist hotspots are. So says Tobias Brandt in a new study, which involved analysing 600,000 tweets...

  • Big data-analyse van tweets onthult kansen voor toerisme

    By combining the information in tweets, you can design emerging tourist hotspots says RSM's Tobias Brandt after analysing 600,000 tweets sent in San Francisco.

  • Big data-analyse van tweets onthult kansen voor toerisme

    By combining the information available in tweets, it is possible to see the emerging tourist hotspots of a city, says Tobias Brandt of RSM after analysing 600,000 tweets sent in San Francisco.

  • Big data-analyse van tweets onthult kansen voor toerisme

    By combining the information available in tweets, one can see emerging tourist hotspots according to Tobias Brandt of RSM. This conclusion was reached after conducting an analysis of 600,000 tweets sent in San Francisco.

  • Ontdek nieuwe toeristische hotspots door analyse van twitterbestanden

    Holidaymakers often leave a trail of information behind on social media. Many of the attractions and sights are already on the radar of tourist organisations. However, there are also places that tourists discover, find and share...

  • Masterstudenten presenteren scripties voor Europees Smart City-project

    Masters students from RSM have researched innovative, smart and sustainable city developments for Rotterdam in the European Smart City project RUGGEDISED®. The Erasmus Centre for Future Energy Business leads the extensive...

Discovery item

Tweets contain valuable information for boosting tourism

Tweet analysis can point to emerging touristic hotspots and help businesses with their marketing.

Courses

Business Information Management

  • Study year: 2019/2020, 2018/2019, 2017/2018, 2016/2017
  • Code: BAD14
  • Level: Bachelor 3, Bachelor 3, Pre-master

Informatiemanagement

  • Study year: 2019/2020, 2018/2019, 2017/2018, 2016/2017
  • Code: BKB0017
  • Level: Bachelor 3, Pre-master

BIM Research Methods I

  • Study year: 2018/2019
  • Code: BM05BIM
  • ECTS: 2 Level: Master

BIM Master Thesis

  • Study year: 2019/2020, 2018/2019
  • Code: BMMTBIM
  • ECTS: 16 Level: Master

Past courses

BIM Research Methods I

  • Study year: 2019/2020
  • Code: BM06BIM
  • ECTS: 4 Level: Master

Location-based Services and Spatial Analytics

  • Study year: 2016/2017
  • Code: BMME108
  • ECTS: 6 Level: Master