Former Staff

Malte Greulich

Ehem. Wissenschaftlicher Mitarbeiter

Malte Greulich, M.Sc.

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Academics

  • 01/2017 – 12/2018: Ph.D. Candidate at the Chair of Information Systems and Strategic IT Management, University of Duisburg-Essen, Essen, Germany
  • 10/2012 – 09/2014: Master of Science in Information Systems, University of Cologne, Germany
  • 09/2009 – 09/2012: Bachelor of Science in Business Information Systems, Baden-Wuerttemberg Cooperative State University, Stuttgart, Germany

Work Experience

  • 01/2017 – 12/2018: Research Assistant at the Chair of Information Systems and Strategic IT Management, University of Duisburg-Essen, Essen, Germany
  • 02/2015 – 12/2016: Consultant in the Technology Strategy & Architecture practice at Deloitte Consulting GmbH, Dusseldorf, Germany
  • 03/2014 – 09/2014: Working student (business intelligence) at Rheindata GmbH, Cologne, Germany
  • 08/2013 – 10/2013: Student apprentice (automotive industry) at the Capgemini Deutschland GmbH, Stuttgart, Germany
  • 10/2012 – 07/2013: Working student (multi-channel sales department) at E WIE EINFACH GmbH, Cologne, Germany
  • 09/2009 – 09/2012: Working student (dual study program) at Hewlett-Packard GmbH, Ratingen, Germany

Fields of Research

  • Emergence and adoption of digital platforms
  • Trust in IT artifacts

Publikationen:

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  • Rehring, K.; Greulich, M.; Bredenfeld, L.; Ahlemann, F.: Let’s get in touch - Decision making about Enterprise Architecture using 3D Visualization in Augmented Reality. In: Proceedings of the 52nd annual Hawaii International Conference on Systems Science. Hawaii, USA 2019. BIB DownloadDetails

    Making informed decisions about historically grown and often complex business and Information Technology (IT) landscapes can be particularly difficult. Enterprise Architecture Management (EAM) addresses this issue by enabling stakeholders to base their decisions on relevant information about the organization’s current and future Enterprise Architectures (EAs). However, visualization of EA is often confronted with low usefulness perceptions. Informed by the cognitive fit theory (CFT), we argue that decision-makers benefit from interacting with EA visualizations using Augmented Reality (AR), because it enables a consistent task-related mental representation based on the natural use of decision-makers’ visual-spatial abilities. The goal of this paper is to demonstrate ARs suitability for EA-related decision-making. We follow the design science research (DSR) approach to develop and evaluate an AR head-mounted display (HMD) prototype, using the Microsoft HoloLens. Our results suggest that EA-related decision-making can profit from applying AR, but users find the handling of the HMD device cumbersome.