BUSINESS PROCESS IMPROVEMENT FROM THE ADAPTIVE CASE MANAGEMENT PERSPECTIVE

• Authors: Osuszek Łukasz
• Languages of publication: EN

Abstracts

EN

This paper describes the risks, challenges and outcomes associated with the adaptive approach to business process change and improvement within an organization. The article focuses on aspects related to supporting the company’s business operations (business processes) with information technology tools. This article explains that it is necessary to use Adaptive Case Management (ACM) systems instead of existing Business Process Management (BPM) solutions due to the fact that the latter are demonstrably inadequate in comparison to the more recent adaptive process management concept. The paper addresses the challenges and risks involved in business process optimization. The author argues that ACM is a better tool or approach for adaptive business process improvement, since it significantly reduces the risk inherent in business process improvement. The case studies provided in the paper serve to support this thesis.

Keywords

EN

adaptive case management; business process management; BPM; ACM; Advanced Case Management; IT project management; risk management

• Publisher: Katedra Informatyki Szkoła Główna Gospodarstwa Wiejskiego w Warszawie
• Journal: Information Systems in Management
• Year: 2015
• Volume: 4
• Issue: 2
• Pages: 135-146

Dates

published

2015

Contributors

author

Osuszek Łukasz

• IBM Polska, Software Group

References

• http://www.adaptivecasemanagement.org
• Lee R.G., Dale B.G. (1998), Business Process Management: A Review and Evaluation,“Business Process Management Journal”, vol. 4, issue 3 (on the basis of the following database: ABI/INFORM Dateline). Leksykon zarządzania [2004], Difin, Warsaw.
• P. Elzinga, W. Horak, J. Chung-Yee, “BPM survey”, 1995, IEEE on transaction on engineering management, Vol. 24.
• Wil M. P. van der Aalst, M. Weske, “Case Handling: A New Paradigm for Business Process Support”, Eindhoven University of Technology, 2010.
• Keith D. Swenson,“Mastering the unpredictable”, Megan Kiffer Press 2006.

Identifiers

ISSN

2084-5537