Title
Identification And Classification Of Human Error In Process Model Development
Abstract
Process models capture important corporate know-how for an effective knowledge management (KM). However, many process models do not match with corporate reality and therefore cannot serve the intended purpose. Human Error is a major source for these inconsistencies that might hinder process implementation and maintenance as well as continuous improvement efforts. The approach presented in this paper accounts for a more active participation of employees in order to further increase the economical benefit of KM. To this purpose, a human error analysis in process modeling was conducted. The results derived from data of 64 subjects show that errors of omission and erroneous execution on an activity level are considerably higher for novices than for subjects with theoretical knowledge and experienced modelers. However, it can be concluded that even for experienced modelers complex modeling scenarios are prone to reasoning fallacies and thus represent a possible source for model inconsistencies in corporate practice.
Year
DOI
Venue
2011
10.1109/IEEM.2011.6118193
2011 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEM)
Keywords
Field
DocType
Employee involvement, human error, human reliability, knowledge management, process modeling
Human resource management,Systems engineering,Work in process,Process modeling,Corporate Practice,Human reliability,Human error,Engineering
Conference
ISSN
Citations 
PageRank 
2157-3611
0
0.34
References 
Authors
6
4
Name
Order
Citations
PageRank
Alexander Nielen140.79
Denise Költer240.79
Susanne Mütze-Niewöhner340.79
Christopher M. Schlick411331.00