Robert Woroch

Academic Staff

Robert Woroch, M. Sc.

R09 R02 H38
+49 201 18-34033
Universität Duisburg-Essen, Campus Essen
Fakultät für Wirtschaftswissenschaften
Lehrstuhl für Wirtschaftsinformatik und Softwaretechnik
Universitätsstr. 9
45141 Essen

Curriculum Vitae:


  • Seit März 2019: Wissenschaftlicher Mitarbeiter am Lehrstuhl für Wirtschaftsinformatik und Softwaretechnik (Lehrstuhlinhaber: Prof. Dr. Stefan Eicker) an der Universität Duisburg-Essen 
  • August 2015 - Februar 2019: Leiter Digitale Medien, con|energy agentur GmbH
  • Juli 2010 - Juli 2015: Senior Consultant, con|energy agentur GmbH
  • August 2008 - Juni 2010: Consultant, con|energy ag
  • Februar 2002 - Juli 2008: Projektleiter Webentwicklung, con|energy ag
  • Januar 2001 - Januar 2002: Softwareentwickler, Energieportal GmbH & Co. KG
  • Juni 2001 - März 2009: Geschäftsführender Gesellschafter, ARW Multimedia GbR
  • März 1999 - Dezember 2000: Webentwickler, con|energy ag


  • Virtueller Weiterbildungsstudiengang Wirtschaftsinformatik (VAWi, M. Sc.), Universität Duisburg-Essen
  • Systems Engineering (B. Sc.), Universität Duisburg-Essen, Schwerpunkt: Business Systems Engineering

Fields of Research:

  • Internet of Things (IoT) und smarte Produkte
  • Business Models


  • Woroch, Robert; Strobel, Gero: Understanding Value Creation in Digital Companies – A Taxonomy of IoT-enabled Business Models. In: AiS (Ed.): Proceedings of the 29th European Conference on Information Systems (ECIS). A Virtual AIS Conference 2021. CitationDetails

    The spread of the Internet of Things offers companies the potential to exert a disruptive influence on existing market structures and entire domains. The shift from product to service orientation and the integration of the customer as a value co-creator makes the identification and development of value-adding, IoT-based offerings a central challenge. As a link between strategy and business processes, business models are a suitable tool to meet this challenge. However, present business models lack of consideration of IoT specific characteristics. Against this background we provide a taxonomy for the description of IoT-based business models based on systematic literature research. Furthermore, the taxonomy is applied to 103 business models, demonstrating its usefulness. We also provide insights into the design of business models within two domains. The taxonomy provides a tool for investigating busi-ness models, especially how IoT can be incorporated into them and also a conceptual basis for future research.


Tutored Theses:

  • Industry 4.0 – Conception of a Requirements Catalogue for Employees in the Smart Factory Regarding to Human-Machine Interaction (Bachelor Thesis Business Information Systems, 2021)
  • Conception and evaluation of the use of innovative technologies for the digital transformation of stationary retail trade (Bachelor Thesis Business Information Systems, 2020)