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Determinants of information system quality and data quality in management accounting

Author

Listed:
  • Thorsten Knauer

    (Ruhr-Universität Bochum)

  • Nicole Nikiforow

    (Ruhr-Universität Bochum)

  • Sebastian Wagener

    (Ruhr-Universität Bochum)

Abstract

Data quality is critical to adequately perform management accounting (MA) tasks, and information systems (IS) provide the data for the MA domain. However, IS can vary vastly across firms, which may influence the basis for rational decision making (i.e., data quality). This study therefore aims to investigate the impact of IS quality on data quality in MA and to analyze the determinants that can influence IS quality in MA. We conduct a cross-sectional survey among 143 medium-sized and large firms. Based on a structural equation model, we predict and find that IS quality significantly affects management accounting data quality (MADQ). Company’s IT investments, internal and external IT knowledge, innovative technologies, and data source variety are significantly associated with IS quality in MA and in turn indirectly affect MADQ. This study highlights the importance of IS quality for management accountants’ practice and simultaneously provides new insights regarding the efficacy of selected determinants of IS quality.

Suggested Citation

  • Thorsten Knauer & Nicole Nikiforow & Sebastian Wagener, 2020. "Determinants of information system quality and data quality in management accounting," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 97-121, April.
  • Handle: RePEc:spr:jmgtco:v:31:y:2020:i:1:d:10.1007_s00187-020-00296-y
    DOI: 10.1007/s00187-020-00296-y
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    Cited by:

    1. Ng, S.C.H. & Ho, G.T.S. & Wu, C.H., 2023. "Blockchain-IIoT-big data aided process control and quality analytics," International Journal of Production Economics, Elsevier, vol. 261(C).
    2. Ágnes Szukits, 2022. "The illusion of data-driven decision making – The mediating effect of digital orientation and controllers’ added value in explaining organizational implications of advanced analytics," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 33(3), pages 403-446, September.
    3. Faruk Bhuiyan & Kevin Baird & Rahat Munir, 2022. "The associations between management control systems, market orientation and CSR use," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 33(1), pages 27-79, March.
    4. Maël Schnegg & Klaus Möller, 2022. "Strategies for data analytics projects in business performance forecasting: a field study," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 33(2), pages 241-271, June.
    5. Hamood Mohd. Al-Hattami, 2021. "Validation of the D&M IS success model in the context of accounting information system of the banking sector in the least developed countries," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 32(1), pages 127-153, March.

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    More about this item

    Keywords

    Data quality; Information systems; Information technology; Management accounting; System quality;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

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