Applying case based reasoning approach in analyzing organizational change management data

Orit Raphaeli, Jacob Zahavi, Ron Kenett

Research output: Contribution to journalConference articlepeer-review

Abstract

This work is a first step towards the application of a Case Based Reasoning (CBR) model to support the management of Enterprise System Implementation (ESI) related organizational change processes. Those processes are characterized by the occurrences of unplanned problems and events, which may lead to major restructuring of the process. We rely on ESI theory developed by the BEST project. The paper's focus is the matching process within the retrieval phase. We propose a procedure for similarity assessment between current experiences and past experiences. We enhance the applicability of CBR to ESI by encoding domain knowledge, according to BEST approach. The similarity measures are based on nearest-neighbor approach and Tversky's Contrast model. The proposed method assesses the similarity between events, while accounting their context similarity. Plans for future work are outlined.

Original languageEnglish
Pages (from-to)11-22
Number of pages12
JournalLecture Notes in Computer Science
Volume3275
DOIs
StatePublished - 2004
Externally publishedYes
Event4th Industrial Conference on Data Mining, ICDM 2004 - Advances in Data Mining: Applications in Image Mining, Medicine and Biotechnology, Management and Environmental Control, and Telecommunications - Leipzig, Germany
Duration: 4 Jul 20047 Jul 2004

Fingerprint

Dive into the research topics of 'Applying case based reasoning approach in analyzing organizational change management data'. Together they form a unique fingerprint.

Cite this