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Digitization of the budgeting process: determinants of the use of business analytics and its effect on satisfaction with the budgeting process

Author

Listed:
  • Mareike Bergmann

    (Ruhr University Bochum)

  • Christian Brück

    (Ruhr University Bochum)

  • Thorsten Knauer

    (Ruhr University Bochum)

  • Anja Schwering

    (Ruhr University Bochum)

Abstract

Since the use of business analytics promises automation of business processes and time savings, the budgeting process seems predestined for the integration of analytical methods. Therefore, this study examines the determinants of the use of business analytics in the budgeting process and its effect on satisfaction with the budgeting process. Specifically, we focus on one technical determinant (data infrastructure sophistication) and the importance of the two major budgeting functions (the planning and the evaluation function), which could affect the degree of dissemination of using analytical methods. Based on a survey among German companies, we find, as predicted, that the sophistication of the data infrastructure is positively associated with the use of business analytics in the budgeting process. Further, the more a company emphasizes the planning function, the greater the extent to which business analytics is used in the budgeting process. In contrast, we find no association between the evaluation function and the use of business analytics in the budgeting process. Finally, we find that the use of business analytics is positively associated with satisfaction with the budgeting process. Thus, the use of business analytics can help to overcome dissatisfaction with traditional budgeting systems. Overall, our findings provide practitioners with valuable indications under which circumstances the use of analytical methods appears reasonable.

Suggested Citation

  • Mareike Bergmann & Christian Brück & Thorsten Knauer & Anja Schwering, 2020. "Digitization of the budgeting process: determinants of the use of business analytics and its effect on satisfaction with the budgeting process," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 25-54, April.
    • Handle: RePEc:spr:jmgtco:v:31:y:2020:i:1:d:10.1007_s00187-019-00291-y
    DOI: 10.1007/s00187-019-00291-y
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    2. 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.
    3. Faisal Salman & Seyyed Abbas Hashemi & Daruosh Foroghi, 2023. "Feasibility of Establishing Operational Budgeting in Iraqi Public Universities," Risks, MDPI, vol. 11(2), pages 1-21, February.
    4. Adriana Tiron-Tudor & Delia Deliu, 2021. "Big Data’s Disruptive Effect on Job Profiles: Management Accountants’ Case Study," JRFM, MDPI, vol. 14(8), pages 1-26, August.
    5. Kubota, Takaya & Okuda, Shin'ya, 2023. "Relationship between top managers’ interest in accounting information and accounting practices in startups," International Journal of Accounting Information Systems, Elsevier, vol. 51(C).
    6. Kunnathuvalappil Hariharan, Naveen, 2019. "Elements and success factors for an efficient budgeting," MPRA Paper 109507, University Library of Munich, Germany.
    7. Jochen Fähndrich, 2023. "A literature review on the impact of digitalisation on management control," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 34(1), pages 9-65, March.

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    More about this item

    Keywords

    Analytics; Budgeting; Business intelligence; Digitization; Forecasts; Planning;
    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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