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Repeated Use of Process Models: The Impact of Artifact, Technological and Individual Factors (Extended Abstract)

Alexander Nolte,Eike Bernhard,J. Recker,Fabian Pittke,J. Mendling

Published 2016 in Entwicklungsmethoden für Informationssysteme und deren Anwendung: Fachtagung

ABSTRACT

Business process modeling has received a lot of attention from practitioners and researchers alike. Organizations make significant investments into process modeling in terms of training, tools, and resources. Yet, having invested into creating large process model collections, process models often fall into disuse, provoking the impression that the initial investment has been lost. While previous work has aimed at exploring model re-use as a design principle, our work examines repeated use of a model as a behavior and thus aims at identifying factors that facilitate or hinder the repeated use of process models by individual users. We develop a conceptual model of factors that can influence an individual's intention to repeatedly use process models. We evaluate this model through a cross-sectional survey of process model users from a large European financial institution. Our results indicate the importance of quality and ease of understanding of process models to repeated use, alongside individual factors, such as motivation and individual expertise. We identify means that help organizations to promote the repeated use of process models, which can assist them to increase the benefits of process modeling. We conducted the first empirical study of process model re-use intentions.We developed a conceptual model of factors influencing re-use intentions.We developed a measurement instrument to assess re-use intentions.We found that process model ease of use and usefulness increase re-use intentions.We found that a user's motivation and process model accessibility increase re-use intentions.

PUBLICATION RECORD

  • Publication year

    2016

  • Venue

    Entwicklungsmethoden für Informationssysteme und deren Anwendung: Fachtagung

  • Publication date

    2016-08-01

  • Fields of study

    Business, Computer Science

  • Identifiers
    DOI 10.1016/j.dss.2016.06.002
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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