Digitization of the budgeting process
- 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.
Author: | Mareike BergmannGND, Christian BrückORCiDGND, Thorsten KnauerORCiDGND, Anja SchweringORCiDGND |
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URN: | urn:nbn:de:hbz:294-89284 |
DOI: | https://doi.org/10.1007/s00187-019-00291-y |
Parent Title (English): | Journal of management control |
Subtitle (English): | determinants of the use of business analytics and its effect on satisfaction with the budgeting process |
Publisher: | Springer |
Place of publication: | Heidelberg |
Document Type: | Article |
Language: | English |
Date of Publication (online): | 2022/05/12 |
Date of first Publication: | 2020/02/08 |
Publishing Institution: | Ruhr-Universität Bochum, Universitätsbibliothek |
Tag: | Analytics; Budgeting; Business intelligence; Digitization; Forecasts; Planning |
Volume: | 31 |
First Page: | 25 |
Last Page: | 54 |
Note: | Dieser Beitrag ist auf Grund des DEAL-Springer-Vertrages frei zugänglich. |
Dewey Decimal Classification: | Sozialwissenschaften / Wirtschaft |
open_access (DINI-Set): | open_access |
faculties: | Fakultät für Wirtschaftswissenschaft |
Licence (English): | Creative Commons - CC BY 4.0 - Attribution 4.0 International |