Assessing suitability of adaptive case management

J.J.C. Pillaerds, H. Eshuis

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
118 Downloads (Pure)

Abstract

Business Process Management (BPM) includes methods and techniques to support the execution of business processes. In recent years, Adaptive Case Management (ACM) has been proposed as new BPM technology for supporting knowledge-intensive processes. However, there is currently no structured way of quickly deciding upon the suitability of an ACM system to a specific business process. This paper presents a framework for assessing to which extent ACM is suitable for a particular business process. It distinguishes between process characteristics that ACM can support, characteristics that ACM can support but are not ideal, and characteristics that ACM cannot support. The framework also explains the rationale behind each assessment, and refers to alternatives in case ACM is not suitable for the process that needs to be supported. Thus, the framework provides a transparent and useful advice about which kind of BPM technology is most suitable to support a business process to the best extent. A preliminary evaluation of the framework has been carried out in collaboration with an IT consultancy company that advises its clients on BPM technology.
Original languageEnglish
Title of host publicationProceedings of the 25th European Conference on Information Systems, ECIS 2017
Pages566-580
Number of pages15
ISBN (Electronic)9780991556700
Publication statusPublished - 2017
Event25th European Conference on Information Systems(ECIS2017), June 5th-10th 2017, Guimarães, Portugal - Centro Cultural Vila Flor, Guimaraes, Portugal
Duration: 5 Jun 201710 Jun 2017
http://www.ecis2017.eu/

Conference

Conference25th European Conference on Information Systems(ECIS2017), June 5th-10th 2017, Guimarães, Portugal
Abbreviated titleECIS2017
CountryPortugal
CityGuimaraes
Period5/06/1710/06/17
Internet address

Keywords

  • Adaptive case management
  • Knowledge-intensive processes
  • Software selection

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