Tobias Enders, MBA

Tobias Enders, MBA

  • Building 05.20 - 4th floor

    Kaiserstraße 89

    D-76133 Karlsruhe

Research Focus

  • Data Monetization & Digital Ecosystems
     
  • Open Data Value Creation
     
  • Data-Driven Services

 

Career

Tobias is a research associate in the Digital Service Innovation (DSI) research group at the Institute for Information Systems and Marketing (IISM) and the Karlsruhe Service Research Institute (KSRI). In his research, he focuses on strategies to monetize data assets and how to enable the development of digital ecosystems through open data.

Prior to joining the DSI research group, Tobias worked as a business strategy consultant and project manager at IBM on various client engagements across multiple industries in Germany, Switzerland and France. In this role, he led transition phases in global outsourcing projects, drafted market entry strategies and supported clients in developing their innovation portfolio. Prior to joining the KIT, Tobias worked at IBM’s corporate headquarters in New York, USA and supported the global leadership team in making sound management decisions by applying advanced analytics methodologies. Tobias holds a bachelor’s degree in International Business Administration and a Master of Business Administration with Distinction (MBA) diploma. He is a certified Project Management Professional (PMP) and the co-inventor of a patent on providing digital services.

 

Teaching

  • Digital Farming Seminar (WS 2017/18)
  • Business and IT Service Management (WS 2018/19)
  • Service Pricing (HECTOR School, 2018)
  • Digital Services: Business Models and Transformation (WS 2019/20)
  • Service Pricing (HECTOR School, 2019)
  • Digital Services: Business Models and Transformation (WS 2020/21)

 

Curriculum Vitae

2017 - (current)

Karlsruhe Institute of Technology (Karlsruhe, Germany)

Research Associate and Ph.D Candidate

2014 - 2017

IBM Corporate Headquarters (New York, NY, USA)

Managing Strategy Consultant & Data Scientist

2012 - 2013

 

Hult International Business School (Boston, MA, USA)

Master of Business Administration (MBA)

 

Stanford University (Stanford, CA, USA) - Summer Program

2008 - 2012

 

IBM Germany (Stuttgart, Germany)

Senior Consultant & Project Manager

2005 - 2008

 

Duale Hochschule Baden-Württemberg (Stuttgart, Germany)

Bachelor of Arts (Interational Business)

  Warsaw School of Economics (Warsaw, Poland) - Semester Abroad

Publications


2020
Proceedingsbeiträge
Knowing What to Share: Selective Revealing in Open Data.
Enders, T.; Wolff, C.; Satzger, G.
2020. European Conference on Information Systems (ECIS), Marrakesch, Marokko, June 15 - 17 2020 
How to Implement an Open Data Strategy? Analyzing Organizational Change Processes to Enable Value Creation by Revealing Data.
Enders, T.; Benz, C.; Schüritz, R.; Lujan, P.
2020. European Conference on Information Systems, Marrakesch, Marokko, June 15 - 17, 2020 
Igniting the Spark: Overcoming Organizational Change Resistance to Advance Innovation Adoption – The Case of Data-Driven Services.
Enders, T.; Martin, D.; Sehgal, G. G.; Schüritz, R.
2020. Exploring Service Science – 10th International Conference, IESS 2020, Porto, Portugal, February 5–7, 2020, Proceedings. Ed.: H. Nóvoa, 217–230, Springer, Cham. doi:10.1007/978-3-030-38724-2_16
2019
Zeitschriftenaufsätze
Priorisierung von Digitalisierungsprojekten entlang der gesamten kundenorientierten Prozesskette im Maschinenbau.
Pschybilla, T.; Hofmann, M.; Enders, T.; Vössing, M.
2019. HMD Praxis der Wirtschaftsinformatik 
Proceedingsbeiträge
Capturing Value from Data: Exploring Factors Influencing Revenue Model Design for Data-Driven Services.
Enders, T.; Schüritz, R.; Frey, W.
2019. Proceedings of 14th International Conference on Wirtschaftsinformatik (Wi 2019): Human Practice.Digital Ecologies.Our Future 
2018
Proceedingsbeiträge
Exploring the Value of Data – a Research Agenda.
Enders, T.
2018. Exploring Service Science : 9th International Conference, IESS 2018 Karlsruhe, Germany, September 19–21, 2018 Proceedings. Ed.: G. Satzger, 274–286, Springer Nature Switzerland, Cham. doi:10.1007/978-3-030-00713-3_21
2017
Zeitschriftenaufsätze
Proceedingsbeiträge
GreedyBoost : An Accurate, Efficient and Flexible Ensemble Method for B2B Recommendations.
Zhang, W.; Enders, T.; Li, D.
2017. Proceedings of the 50th Annual Hawaii International Conference on System Sciences (HICSS), Waikoloa Village, Hawaii, USA, 4th - 7th January 2017, AIS Electronic Library (AISeL). doi:10.24251/HICSS.2017.189VolltextVolltext der Publikation als PDF-Dokument