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Developing sociotechnical systems with special focus on quality

  • Agnes Koschmider is a post-doctoral researcher at the Institute of Applied Informatics and Formal Description Methods (AIFB) at the Karlsruhe Institute of Technology (KIT). Her current research concentrates on process model reuse, modeling support techniques, empirical business process modeling and on mashup engineering. Her work was awarded the Wolfgang-Heilmann-Preis 2013/2014 and a post-doctoral fellowship from the University of Pretoria (South Africa). Agnes is an initiator of the GI informaticup, a collegiate computer science contest that has attracted significant attention since its first incarnation in 2005. In September 2013 she was named a junior fellow of the Gesellschaft für Informatik.

    Institute AIFB, KIT – Building 05.20, D-76128 Karlsruhe

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Published/Copyright: September 30, 2014
it - Information Technology
From the journal it - Information Technology Volume 56 Issue 5

Abstract

To date, it is not fully understood why people make errors in the design of business processes. Certainly, one reason is the boundedness of human cognitive abilities. Cognitive abilities are, for instance, restricted by the knowledge or memorability of process modelers. Due to this boundedness people make errors particularly in large and complex models while similar errors are not made in smaller and less complex models. My research focus lies in the investigation of tools and techniques that support users in the design of business process models in a way that improves productivity and efficiency (e. g., understanding and implementing the process model). This paper summarizes three research projects aiming at business process modeling support. The intention of my research is to contribute to the understanding of sociotechnical systems, which are an interplay between humans, information and communication technologies, and organizations. The first project facilitates support for process modeling with a recommendation system. Such a system has been developed in order to assist users twofold in purpose-oriented modeling of processes. The popularity of such a system increases when process models are recommended that can be rapidly understood. My second research project is the investigation of the empirical quality (i.e. structural and textual properties) of process models. To motivate users to reuse process model recommendations, process model reuse must be understood as a common practice and efficient tools and techniques must be provided, which I tackle in my third project.

Keywords: Business Process Model; Recommender Systems; Modeling Support; Reuse; Empiricism
ACM CCS: Applied Computing→Enterprise Computing→Business Process Management

About the author

Agnes Koschmider

Agnes Koschmider is a post-doctoral researcher at the Institute of Applied Informatics and Formal Description Methods (AIFB) at the Karlsruhe Institute of Technology (KIT). Her current research concentrates on process model reuse, modeling support techniques, empirical business process modeling and on mashup engineering. Her work was awarded the Wolfgang-Heilmann-Preis 2013/2014 and a post-doctoral fellowship from the University of Pretoria (South Africa). Agnes is an initiator of the GI informaticup, a collegiate computer science contest that has attracted significant attention since its first incarnation in 2005. In September 2013 she was named a junior fellow of the Gesellschaft für Informatik.

Institute AIFB, KIT – Building 05.20, D-76128 Karlsruhe

Received: 2014-5-30
Accepted: 2014-7-16
Published Online: 2014-9-30
Published in Print: 2014-10-28

©2014 Walter de Gruyter Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Social media in academia: How the Social Web is changing academic practice and becoming a new source for research data
  4. Special Issue
  5. Tweets vs. Mendeley readers: How do these two social media metrics differ?
  6. Faculty and student interactions via Facebook: Policies, preferences, and practices
  7. How Science 2.0 will impact on scientific libraries
  8. Sifting the sand on the river bank: Social media as a source for research data
  9. Twitter data: What do they represent?
  10. Can electoral popularity be predicted using socially generated big data?
  11. Self-Portrayals of GI Junior Fellows
  12. Preface to the self-portrayals of the GI Junior Fellows
  13. Network analysis literacy, data analysis literacy, and socioinformatics
  14. Developing sociotechnical systems with special focus on quality
  15. Persönliches
  16. Heinz Zemanek zum Gedenken
https://doi.org/10.1515/itit-2014-1053
Keywords for this article
Business Process Model; Recommender Systems; Modeling Support; Reuse; Empiricism

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Social media in academia: How the Social Web is changing academic practice and becoming a new source for research data
  4. Special Issue
  5. Tweets vs. Mendeley readers: How do these two social media metrics differ?
  6. Faculty and student interactions via Facebook: Policies, preferences, and practices
  7. How Science 2.0 will impact on scientific libraries
  8. Sifting the sand on the river bank: Social media as a source for research data
  9. Twitter data: What do they represent?
  10. Can electoral popularity be predicted using socially generated big data?
  11. Self-Portrayals of GI Junior Fellows
  12. Preface to the self-portrayals of the GI Junior Fellows
  13. Network analysis literacy, data analysis literacy, and socioinformatics
  14. Developing sociotechnical systems with special focus on quality
  15. Persönliches
  16. Heinz Zemanek zum Gedenken
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