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  4. Integrating a data quality perspective into business process management
 
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Integrating a data quality perspective into business process management

Journal
Business Process Management Journal (BPMJ)
ISSN
1463-7154
ISSN-Digital
1758-4116
Type
journal article
Date Issued
2012-10-01
Author(s)
Ofner, Martin  
Otto, Boris  
Österle, Hubert  
DOI
10.1108/14637151211283401
Research Team
IWI2, CDQ
Abstract
Purpose: The purpose of this paper is to conceptualize data quality (DQ) in the context of business process management and to propose a DQ oriented approach for business process modeling. The approach is based on key concepts and metrics from the data quality management domain and supports decision-making in process re-design projects on the basis of process models.Design/methodology/approach: The paper applies a design oriented research approach, in the course of which a modeling method is developed as a design artifact. To do so, method engineering is used as a design technique. The artifact is theoretically founded and incorporates DQ considerations into process re-design. Furthermore, the paper uses a case study to evaluate the suggested approach.Findings: The paper shows that the DQ oriented process modeling approach facilitates and improves managerial decision-making in the context of process re-design. Data quality is considered as a success factor for business processes and is conceptualized using a rule-based approach.Research limitations/implications: The paper presents design research and a case study. More research is needed to triangulate the findings and to allow generalizability of the results.Practical implications: The paper supports decision-makers in enterprises in taking a DQ perspective in business process re-design initiatives.Originality/value: The paper reports on integrating DQ considerations into business process management in general and into process modeling in particular, in order to provide more comprehensive decision-making support in process re-design projects. The paper represents one of the first contributions to literature regarding a contemporary phenomenon of high practical and scientific relevance.
Funding(s)
CC Corporate Data Quality (CC CDQ)  
Language
English
Keywords
Business-IT-Alignment
Datenqualitätsmanagement
Datenqualität
HSG Classification
not classified
Refereed
Yes
Publisher
Emerald
Publisher place
Bradford
Volume
18
Number
6
Start page
1036
End page
1067
Pages
32
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/90930
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

Eprints ID
217597

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