Abstract
AbstractSince 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.
Publisher
Springer Science and Business Media LLC
Subject
Management of Technology and Innovation,Management Science and Operations Research,Strategy and Management,Management Information Systems,Accounting
Reference111 articles.
1. Anthony, R. N., Govindarajan, V., & Dearden, J. (2007). Management control systems (Vol. 12). New York, NY: McGraw-Hill.
2. Applebaum, D., Kogan, A., Vasarhelyi, M., & Zhaokai, Z. (2017). Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems,25, 29–44.
3. Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research,14(3), 396–402.
4. Armstrong, C. P., & Sambamurthy, V. (1999). Information technology assimilation in firms: The influence of senior leadership and IT infrastructures. Information Systems Research,10(4), 304–327.
5. Arnold, M., & Artz, M. (2019). The use of a single budget or separate budgets for planning and performance evaluation. Accounting, Organizations and Society, 73, 50–67.
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