Designing a Process Mining-Enabled Decision Support System for Business Process Standardization in ERP Implementation Projects View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2018-08-12

AUTHORS

Christian Fleig , Dominik Augenstein , Alexander Maedche

ABSTRACT

Process standardization allows to optimize ERP systems and is a necessary step prior to ERP implementation projects. Traditional approaches to standardizing business processes are based on manually created “de-jure” process models, which are distorted, error-prone, simplistic, and often deviating from process reality. Theoretically embedded in the organizational contingency theory as kernel theory, this paper employs a design science approach to design a process mining-enabled decision support system (DSS) which combines bottom-up process mining models with manually added top-down standardization information to recommend a suitable standard process specification from a repository. Extended process models of the as-is process are matched against a repository of best-practice standard process model using an attribute-based process similarity matching algorithm. Thus, the DSS aims to reduce the overall costs of process standardization, to optimize the degree of fit between the organization and the implemented processes, and to minimize the degree of organizational change required in standardization and ERP implementation projects. This paper implements a working prototype instantiation in the open-source process analytics platform Apromore based on a real-life event log and standardization attributes for the Purchase-to-Pay and Order-to-Cash processes from three SAP R/3 ERP systems at the industry partner. More... »

PAGES

228-244

References to SciGraph publications

  • 2017. Assessing Process Fit in ERP Implementation Projects: A Methodological Approach in DESIGNING THE DIGITAL TRANSFORMATION
  • 2004-03. Technochange management: using IT to drive organizational change in JOURNAL OF INFORMATION TECHNOLOGY
  • 2009. Business Process Modeling: Perceived Benefits in CONCEPTUAL MODELING - ER 2009
  • 2010. The ICoP Framework: Identification of Correspondences between Process Models in ACTIVE FLOW AND COMBUSTION CONTROL 2018
  • 2014. Process Mining in the Large: A Tutorial in BUSINESS INTELLIGENCE
  • 2015-08. Factors that Determine the Extent of Business Process Standardization and the Subsequent Effect on Business Performance in BUSINESS & INFORMATION SYSTEMS ENGINEERING
  • 2013. A Short Survey on Process Model Similarity in SEMINAL CONTRIBUTIONS TO INFORMATION SYSTEMS ENGINEERING
  • 2008. On Measuring Process Model Similarity Based on High-Level Change Operations in CONCEPTUAL MODELING - ER 2008
  • 2016-01. FEDS: a Framework for Evaluation in Design Science Research in EUROPEAN JOURNAL OF INFORMATION SYSTEMS
  • 2011-08-04. A Summary and Review of Galbraith’s Organizational Information Processing Theory in INFORMATION SYSTEMS THEORY
  • 1998. Mining process models from workflow logs in ADVANCES IN DATABASE TECHNOLOGY — EDBT'98
  • 2017. A Comparative Analysis of Business Process Model Similarity Measures in BUSINESS PROCESS MANAGEMENT WORKSHOPS
  • Book

    TITLE

    Business Process Management Forum

    ISBN

    978-3-319-98650-0
    978-3-319-98651-7

    Author Affiliations

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-98651-7_14

    DOI

    http://dx.doi.org/10.1007/978-3-319-98651-7_14

    DIMENSIONS

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