Using the business model canvas to improve audit processes
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Author(s)Zbysław DobrowolskiLink to ORCID Index: https://orcid.org/0000-0003-1438-3324
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Łukasz SułkowskiLink to ORCID Index: https://orcid.org/0000-0002-1248-2743
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Mirela PanaitLink to ORCID Index: https://orcid.org/0000-0002-5158-753X
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DOIhttp://dx.doi.org/10.21511/ppm.20(3).2022.12
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Article InfoVolume 20 2022, Issue #3, pp. 142-152
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The study aims to determine whether auditors can use a business model canvas in their operations and how it increases the auditing value. This paper uses qualitative methods, including in-depth interviews with 37 internal auditors from Poland. It shows that the current channel of communicating audit assumptions with requesters is insufficient to facilitate audit processes. The auditors’ communication with their clients is limited by being in their knowledge area. The study presents a modified business model canvas, which fits auditors’ needs. The proposed changes rely on a different sequence of the traditional Osterwalder’s Canvas building blocks. Besides, modified Osterwalder’s model includes Mission, Impact, and Accountability blocks. These blocks, added to the model, make aware audit parties that the auditors are mission-focused and impact-driven on audited organizations and their environment. Adopting the business model canvas framework in the audit process showed potential, as auditors can better explain audit goals and limitations. The study fits the literature related to firms because it emphasizes that creating the process understandability for external parties is a crucial performance point.
- Keywords
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JEL Classification (Paper profile tab)M42, M49
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References78
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Modern technologies of detection and prevention of corruption in emerging information society
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Data science methods for comprehensive assessment of regional economic development
Liubov Chagovets ,
Svitlana Prokopovych ,
Viktor Kholod
doi: http://dx.doi.org/10.21511/dm.18(2).2020.05
The paper deals with the assessment of the socio-economic development of Ukrainian regions using Data Science methods and multidimensional analysis, including taxonomy, n-dimensional classification, and ensemble decision trees methods. The methodological bases of economic regions devel¬opment by the economic and mathematical modeling methods were investigated. The necessity of improving and further developing estimation models of the regional economic development using business analytics tools and multidimensional scaling methods was investigated.
The ensemble decision trees methods was applied for the classification model of economic development of the Ukrainian regions according to the conceptual base of the research on regional econom¬ic development. It will increase the quality level of administrative decisions making on regional de¬velopment asymmetry equalization. It is determined that in Ukraine, there is a significant imbalance of regions clusters with high and low economic level. Here was investigated the relationship between the two groups of economic development indicators – the indicators of the economic development regional performance and the group of economic potential. The results of the classification model allow identifying the set of indicators that have significant impact on the overall economic development. The developed ensemble model allows carrying out qualitative recognition and prediction of the state probability of economic development. It will improve the quality of decision making pro¬cesses on equalization of regional development asymmetry.
The further research gives the possibility to develop the system of levers directions of regional development imbalance equalization, to determine priority vectors of sustainable development of both the regions and the country.
