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Business Process Management Systems in Support of Corporate Governance: Applying Orlikowski’s Theoretical Lens

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Information Systems (EMCIS 2017)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 299))

Abstract

The value of corporate governance has received attention in the last decade after a number of incidents where fraudulent activities resulted in close down of organizations. Many countries responded with stricter regulations. In this article we argue that the correct use of Business Process Management Systems (BPMS) in an organization may support good governance in an organization. Theories such as the theory of technologies from Orlikowski [15] play a central role in IS research to provide a web of meaning about a phenomenon under investigation. We discuss the potential of BPMS through the lense of Orlikowski’s theory of technologies. We also provide some insights on the use of BPMS to support good governance from a case study conducted. The findings suggest that automated business processes can result in improved corporate governance, as well as business value.

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Author information

Authors and Affiliations

  1. Department of Informatics, University of Pretoria, Pretoria, South Africa

    Henk Pretorius, Alta van der Merwe & Knut Hinkelmann

  2. School of Business, University of Applied Sciences Northwestern Switzerland FHNW, Olten, Switzerland

    Knut Hinkelmann

Authors
  1. Henk Pretorius
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  2. Alta van der Merwe
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  3. Knut Hinkelmann
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Corresponding author

Correspondence to Henk Pretorius .

Editor information

Editors and Affiliations

  1. Department of Digital Systems, University of Piraeus, Piraeus, Greece

    Marinos Themistocleous

  2. Department of Management and Technology, Bocconi University, Milan, Italy

    Vincenzo Morabito

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Pretorius, H., van der Merwe, A., Hinkelmann, K. (2017). Business Process Management Systems in Support of Corporate Governance: Applying Orlikowski’s Theoretical Lens. In: Themistocleous, M., Morabito, V. (eds) Information Systems. EMCIS 2017. Lecture Notes in Business Information Processing, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-319-65930-5_46

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  • DOI: https://doi.org/10.1007/978-3-319-65930-5_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65929-9

  • Online ISBN: 978-3-319-65930-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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