Evaluation of WfMC Awards for Case Management: Features, Knowledge Workers, Systems

Conference contribution
(Original article)


Publication Details

Author(s): Tenschert J, Lenz R
Editor(s): Florian Daniel, Quan Z. Sheng, Hamid Motahari
Publisher: Springer
Publishing place: Cham
Publication year: 2018
Pages range: 107-120
ISBN: 978-3-030-11640-8
Language: English


Abstract

In recent years, many production case management (PCM) and adaptive case
management (ACM) systems have been introduced into the daily workflow
of knowledge workers. In many research papers and case studies, the
claims about the nature and requirements of knowledge work in general
seem to vary. While choosing or creating a case management (CM)
solution, typically one has the target knowledge workers and their
domain-specific requirements in mind. But knowledge work shows a huge
variety of modes of operation, complexity, and collaboration. We want to
increase transparency on which features are covered by well-known and
award-winning systems for different types of knowledge workers and
different classes of systems. This may not unveil gaps between
requirements and offered solutions, but it can uncover differences in
solutions for varying user bases. We performed a literature review of 48
winners of the WfMC Awards for Excellence in Case Management from 2011
to 2016 and analyzed case studies in regard to targeted knowledge
workers, advertised features, and type of system. Different types of
knowledge workers showed a different bias on certain system types and
features in regard to collaboration and variability of processes.


FAU Authors / FAU Editors

Lenz, Richard Prof. Dr.-Ing.
Professur für Informatik (Datenbanksysteme)
Tenschert, Johannes
Professur für Informatik (Datenbanksysteme)


Research Fields

Evolutionary Information Systems
Chair for Computer Science 6 (Data Management)
Process Management
Chair for Computer Science 6 (Data Management)


How to cite

APA:
Tenschert, J., & Lenz, R. (2018). Evaluation of WfMC Awards for Case Management: Features, Knowledge Workers, Systems. In Florian Daniel, Quan Z. Sheng, Hamid Motahari (Eds.), Proceedings of the International Conference on Business Process Management (pp. 107-120). Sydney, AU: Cham: Springer.

MLA:
Tenschert, Johannes, and Richard Lenz. "Evaluation of WfMC Awards for Case Management: Features, Knowledge Workers, Systems." Proceedings of the International Conference on Business Process Management, Sydney Ed. Florian Daniel, Quan Z. Sheng, Hamid Motahari, Cham: Springer, 2018. 107-120.

BibTeX: 

Last updated on 2019-16-04 at 03:23