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Quality evaluation framework (QEF): Modeling and evaluating quality of business processes

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  • Heidari, Farideh
  • Loucopoulos, Pericles

Abstract

Business process modeling is an important part of information systems design as well as of any business engineering or reengineering activity. Business process modeling languages provide standard ways of presentation and communication between different stakeholders. A business process model is the externalization of the conceptualization of some parts of the object world that deal with those aspects that pertain to the way business transactions are carried out and supported by an information system. This paper deals with an essential issue in this context, namely the assessment of the quality of business processes through their models. This objective raises two major issues, (a) the identification of the quality factors relevant to business processes, and (b) the definition of the metrics that provide a means for objectively measuring quality of business processes. These two issues are addressed in this paper through a quality evaluation framework, known as QEF that enables business process modelers to explicitly incorporate a wide variety of requirements corresponding to quality factors. Quality factors of business processes are defined in this paper and categorized into different quality dimensions. Application of the quality framework as well as proposed quality dimensions, factors and metrics are discussed through an illustrative example.

Suggested Citation

  • Heidari, Farideh & Loucopoulos, Pericles, 2014. "Quality evaluation framework (QEF): Modeling and evaluating quality of business processes," International Journal of Accounting Information Systems, Elsevier, vol. 15(3), pages 193-223.
    • Handle: RePEc:eee:ijoais:v:15:y:2014:i:3:p:193-223
    DOI: 10.1016/j.accinf.2013.09.002
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    References listed on IDEAS

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    1. Geerts, Guido L., 2011. "A design science research methodology and its application to accounting information systems research," International Journal of Accounting Information Systems, Elsevier, vol. 12(2), pages 142-151.
    2. Diana Heckl & Jürgen Moormann, 2010. "Process Performance Management," International Handbooks on Information Systems, in: Jan vom Brocke & Michael Rosemann (ed.), Handbook on Business Process Management 2, pages 115-135, Springer.
    3. repec:dau:papers:123456789/3990 is not listed on IDEAS
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    Cited by:

    1. Fábio Albuquerque & Paula Gomes Dos Santos, 2023. "Recent Trends in Accounting and Information System Research: A Literature Review Using Textual Analysis Tools," FinTech, MDPI, vol. 2(2), pages 1-27, April.
    2. Eva Nedeliaková & Vladimíra Stefancová & Adrián Kuka, 2018. "Innovative Methodology For Quality And Risk Management In Logistics Processes Of Transport Undertakings," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 18, pages 41-53.
    3. Miguel A. Becerra & Catalina Tobón & Andrés Eduardo Castro-Ospina & Diego H. Peluffo-Ordóñez, 2021. "Information Quality Assessment for Data Fusion Systems," Data, MDPI, vol. 6(6), pages 1-30, June.
    4. Mircea Fulea & Bogdan Mocan & Mihai Dragomir & Mircea Murar, 2023. "On Increasing Service Organizations’ Agility: An Artifact-Based Framework to Elicit Improvement Initiatives," Sustainability, MDPI, vol. 15(13), pages 1-25, June.

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