Recker, Jan C. ORCID: 0000-0002-2072-5792 (2007). Understanding Quality in Process Modelling: Towards a Holistic Perspective. Australasian journal of information systems : AJIS / Australian Computer Society, 14 (2). pp. 43-63. Geelong: Deakin Business School, Deakin Univ.. ISSN 1449-8618

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Quality is one of the main topics in current conceptual modelling research, as is the field of business process modelling. Yet, widely acknowledged academic contributions towards an understanding or measurement of business process model quality are limited at best. In this paper I argue that the development of methodical theories concerning the measurement or establishment of process model quality must be preceded by methodological elaborations on business process modelling. I further argue that existing epistemological foundations of process modelling are insufficient for describing all extrinsic and intrinsic traits of model quality. This in turn has led to a lack of holistic understanding of process modelling. Taking into account the inherent social and purpose-oriented character of process modelling in contemporary organizations I present a socio-pragmatic constructionist methodological framework for business process modelling and sketch out implications of this perspective towards an understanding of process model quality. I anticipate that, based on this research, theories can be developed that facilitate a more comprehensive and adequate evaluation of the 'goodness' of a business process model.

Item Type: Journal Article
Recker, Jan
Additional Information: The contents of this journal can be freely accessed online via the journal's web page (see hypertext link).
URN: urn:nbn:de:hbz:38-88487
DOI: 10.3127/ajis.v14i2.23
Journal or Publication Title: Australasian journal of information systems : AJIS / Australian Computer Society
Publisher: Deakin Business School, Deakin Univ.
ISSN: 1449-8618
Volume: 14
Number: 2
Subjects: Data processing Computer science
Management and auxiliary services
Uncontrolled Keywords:
model theoryEnglish
Faculty: Faculty of Management, Economy and Social Sciences
Divisions: Weitere Institute, Arbeits- und Forschungsgruppen > Cologne Institute for Information Systems (CIIS)
Language: English
Date: September 2007
Place of Publication: Geelong
Refereed: Yes
Page Range: pp. 43-63


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