LAPSE:2023.20540
Published Article

LAPSE:2023.20540
Modelling of the Risk of Budget Variances of Cost Energy Consumption Using Probabilistic Quantification
March 20, 2023
Abstract
Budgets in organisational units are considered to be traditional management support tools. On the other hand, budgetary control is the essence of control measures, allowing for the increase in the efficiency of an enterprise through appropriate allocation of resources. The methodology used in the analysis of budget variances (obtained as a result of applying budgetary control) undoubtedly influences the management efficiency of almost every organizational unit. The authors indicate a research gap of methodological and application nature in the area of risk measurement in the analysis of budget variances. Therefore, the aim of the article is to create universal and flexible models enabling probabilistic quantification of the risk of budget variance regardless of the nature of the cost, the person budgeting and the budgeting unit. Extreme value theory was used to develop the model. The results of the work are models allowing for the estimation of the limit level of deviation for assumed probabilities and models determining the level of deviation for a given probability level. The application of these models in budgetary control will allow for a synthetic assessment of the degree of budget execution in the company, comparing the quality of budget execution over time as well as between units, defining the limits of materiality of budget variances. For the purpose of model verification, the authors have used budget variances of cost energy consumption, which have been determined on the basis of empirical distributions obtained from data coming from the system of budgetary control implemented at a university located in a larger European city.
Budgets in organisational units are considered to be traditional management support tools. On the other hand, budgetary control is the essence of control measures, allowing for the increase in the efficiency of an enterprise through appropriate allocation of resources. The methodology used in the analysis of budget variances (obtained as a result of applying budgetary control) undoubtedly influences the management efficiency of almost every organizational unit. The authors indicate a research gap of methodological and application nature in the area of risk measurement in the analysis of budget variances. Therefore, the aim of the article is to create universal and flexible models enabling probabilistic quantification of the risk of budget variance regardless of the nature of the cost, the person budgeting and the budgeting unit. Extreme value theory was used to develop the model. The results of the work are models allowing for the estimation of the limit level of deviation for assumed probabilities and models determining the level of deviation for a given probability level. The application of these models in budgetary control will allow for a synthetic assessment of the degree of budget execution in the company, comparing the quality of budget execution over time as well as between units, defining the limits of materiality of budget variances. For the purpose of model verification, the authors have used budget variances of cost energy consumption, which have been determined on the basis of empirical distributions obtained from data coming from the system of budgetary control implemented at a university located in a larger European city.
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Keywords
budget variances cost energy consumption, budgetary control, extreme value theory, methods of budget variance analysis
Subject
Suggested Citation
Kuźmiński Ł, Kes Z, Draskovic V, Gawlik A, Rabe M, Widera K, Łopatka A, Śniegowski M. Modelling of the Risk of Budget Variances of Cost Energy Consumption Using Probabilistic Quantification. (2023). LAPSE:2023.20540
Author Affiliations
Kuźmiński Ł: Department of Process Management, Wroclaw University of Economics and Business, 53-345 Wrocław, Poland
Kes Z: Department of Process Management, Wroclaw University of Economics and Business, 53-345 Wrocław, Poland [ORCID]
Draskovic V: Faculty of Management, University of Social Sciences, 90-229 Lodz, Poland
Gawlik A: Faculty of Environmental Management and Agriculture, West Pomeranian University of Technology in Szczecin, 71-494 Szczecin, Poland
Rabe M: Management Institute, University of Szczecin, 70-453 Szczecin, Poland
Widera K: Faculty of Economics and Management, Opole University of Technology, 45-758 Opole, Poland [ORCID]
Łopatka A: Institute of Economics and Finance, University of Szczecin, 70-453 Szczecin, Poland
Śniegowski M: Doctoral School, University of Szczecin, 70-453 Szczecin, Poland
Kes Z: Department of Process Management, Wroclaw University of Economics and Business, 53-345 Wrocław, Poland [ORCID]
Draskovic V: Faculty of Management, University of Social Sciences, 90-229 Lodz, Poland
Gawlik A: Faculty of Environmental Management and Agriculture, West Pomeranian University of Technology in Szczecin, 71-494 Szczecin, Poland
Rabe M: Management Institute, University of Szczecin, 70-453 Szczecin, Poland
Widera K: Faculty of Economics and Management, Opole University of Technology, 45-758 Opole, Poland [ORCID]
Łopatka A: Institute of Economics and Finance, University of Szczecin, 70-453 Szczecin, Poland
Śniegowski M: Doctoral School, University of Szczecin, 70-453 Szczecin, Poland
Journal Name
Energies
Volume
16
Issue
5
First Page
2477
Year
2023
Publication Date
2023-03-05
ISSN
1996-1073
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Original Submission
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PII: en16052477, Publication Type: Journal Article
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LAPSE:2023.20540
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https://doi.org/10.3390/en16052477
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Mar 20, 2023
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