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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- Antle, R., & Eppen, G. D. (1985). Capital rationing and organizational slack in capital budgeting. Management Science, 31(2), 123-248.
- Akimova, L., Akimov, O., Maksymenko, T., Hbur, Z., & Orlova, V. (2020). Adaptive management of entrepreneurship model as a component of enterprise resource planning. Academy of Entrepreneurship Journal, 26(3), 1-8.
- Baden-Fuller, C., & Morgan, M. S. (2010). Business models as models. Long Range Planning, 43(2-3), 156-171.
- Beasley, M. S., Carcello, J. V., & Hermanson, D. R. (2001). Top 10 Audit Deficiencies. Journal of Accountancy, 191(4), 63-66.
- Bonner, S. E., Palmrose, Z.-V., & Young, S. M. (1998). Fraud Type and Auditor Litigation: An Analysis of SEC Accounting and Auditing Enforcement Releases. The Accounting Review, 73(4), 503-532.
- Bringselius, L. (2014). The Dissemination of Results from Supreme Audit Institutions: Independent Partners with the Media? Financial Accountability & Management, 30(1), 75-94.
- Bukh, P. N. (2003). The relevance of intellectual capital disclosure: a paradox? Accounting, Auditing and Accountability Journal, 16(1), 49-56.
- Burrell, G., & Morgan, G. (2017). Sociological Paradigms and Organisational Analysis. Elements of the Sociology of Corporate Life. London: Routledge.
- Campbell, D. T., & Fieske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81-105.
- Carlson, C. R., & Wilmot, W.W. (2006). Innovation: The five disciplines for creating what customers want. New York: Crown Business.
- Cayón, E., & Gutierrez, J. C. (2021). Sin stocks and ESG scores: Does the nature of your business really matter? Journal of International Studies, 14(3), 114-123.
- Clark, T. (2010). On ‘being researched’: Why do people engage with qualitative research? Qualitative Research, 10(4), 399-419.
- Cordery, C. J., & Hay, D. (2019). Supreme Audit Institutions and Public Value: Demonstrating Relevance. Financial Accountability & Management, 35(2), 128-142.
- Cornelissen, J. P. (2005). Beyond compare: Metaphor in organization theory. Academy of Management Review, 30(4), 751-764.
- Cornelissen, J. P., Clarke, J. S., & Cienki, A. (2012). Sensegiving in entrepreneurial contexts: The use of metaphors in speech and gesture to gain and sustain support for novel business ventures. International Small Business Journal, 30(3), 213-241.
- Deis Jr., D. R., & Giroux, G. A. (1992). Determinants of Audit Quality in the Public Sector. The Accounting Review, 67(3), 462-479.
- Dobrowolski, Z. (2004). Kontrola wydatków publicznych w systemie demokracji amerykańskiej [Auditing of Public Expenditure in the American Democracy]. Warszawa: Wydawnictwo Sejmowe. (In Polish).
- Dobrowolski, Z. (2017). Combating Corruption and Other Organizational Pathologies. Frankfurt Am Main, Germany: Peter Lang GmbH, Internationaler Verlag der Wissenschaften.
- Dobrowolski, Z. (2020). The supreme audit institutions readiness to uncertainty. Entrepreneurship and Sustainability Issues, 8(1), 513-525.
- Dobrowolski, Z., & Sułkowski, Ł. (2020). Implementing a Sustainable Model for Anti-Money Laundering in the United Nations Development Goals. Sustainability, 12(1), 244.
- Dobrowolski, Z., & Sułkowski, Ł. (2021). Business Model Canvas and Energy Enterprises. Energies, 14(21), 7198.
- Edvinsson, L. (1997). Developing intellectual capital at Skandia. Long Range Planning, 30(3), 366-373.
- Eisenhardt, K. M., & Graebner, M. E. (2007). Theory building from cases; opportunities and challenges. Academy of Management Journal, 50(1), 25-32.
- Faifua, D. (2014). The key informant technique in qualitative research. In SAGE Research Methods Cases Part 1. SAGE Publications, Ltd.
- Francis, J. R. (2004). What do we know about audit quality? The British Accounting Review, 36(4), 345-368.
- Gartneret, W. B., Bird, B. J., & Starr, J. A. (1992). Acting as if: Differentiating entrepreneurial from organizational behavior. Entrepreneurship, Theory and Practice, 16(3), 13-31.
- Government Accountability Office (GAO). (2018). Government Auditing Standards. 2018 Revision. By the Comptroller General of the United States. Washington D.C.: United States Government Accountability Office.
- Greene, J. C., Caracelli, V. J., & Graham, W. F. (1989). Toward a Conceptual Framework for Mixed-Method Evaluation Designs. Educational Evaluation and Policy Analysis, 11(3), 255-274.
- Hackenbrack, K. E., & Knechel, W. R. (1997). Resource allocation decisions in audit engagements. Contemporary Accounting Research, 14(3), 481-499.
- Harris, M., & Raviv, A. (1996). The capital budgeting process, incentives and information. Journal of Finance, 51(4), 1139-1174.
- Harrison, R. T., Mason, C., & Smith, D. (2015). Heuristics, learning and the business angel investment decision-making process. Entrepreneurship & Regional Development, 27(9-10), 527-554.
- Hill, R. C., & Levenhagen, M. (1995). Metaphors and Mental Models: Sensemaking and Sencegiving in Innovative and Entrepreneurial Activities. Journal of Management, 21(6), 1057-1074.
- Hsu, D., Haynie, J. M., Simmons, S. A., & Mckelvie, A. (2014). What matters, matters differently: a conjoint analysis of the decision policies of angel and venture capital investors. Venture Capital, 16(1), 1-25.
- Institute of Internal Auditors (IIA). (2016). The International Standards for the Professional Practice of Internal Auditing. Lake Mary, FL: The Institute of Internal Auditors.
- Institute of Internal Auditors (IIA). (2022a). Code of Ethics.
- Institute of Internal Auditors (IIA). (2022b). Performance Standards.
- INTOSAI. (2019a). GUID 5260. Governance of Public Assets.
- INTOSAI. (2019b). ISSAI 130. Code of Ethics.
- INTOSAI. (2019c). ISSAI 400. Compliance Audit Principles.
- INTOSAI. (2020a). ISSAI 200. Financial Audit Principles.
- INTOSAI. (2020b). ISSAI 300. Fundamental Principles of Performance Auditing.
- Jackson, A. B., Moldrich, M., & Roebuck, P. (2008). Mandatory audit firm rotation and audit quality. Managerial Auditing Journal, 23(5), 420-437.
- Jerzemowska, M., & Koyama, Y. (2020). The board as an example of Japanese corporate governance system hybridization: An outline of the problem. Economics and Sociology, 13(3), 171-202.
- Jeppesen, K. K. (2019). The role of auditing in the fight against corruption. The British Accounting Review, 51(5), 1-11.
- Johnsen, Å., Reichborn-Kjennerud, K., Carrington, T., Jeppesen, K. K., Taro, K., & Vakkuri, J. (2019). Supreme audit institutions in a high-impact context: A comparative analysis of performance audit in four Nordic countries. Financial Accountability and Management, 35(2), 158-181.
- Karlsson, T., & Honig, B. (2009). Judging a business by its cover: An institutional perspective on new ventures and the business plan. Journal of Business Venturing, 24(1), 27-45.
- Knechel, W. R., Krishnan, G. V., Pevzner, M., Shefchik, L. B., & Velury, U. K. (2013). Audit Quality: Insights from the Academic Literature. Auditing: A Journal of Practice & Theory, 32(suppl_1), 385-421.
- Komisar, R., & Lineback, K. (2001). The Monk and the Riddle: The Art of Creating a Life While Making a Living. Boston: Harvard Business School Press.
- Kożuch, B., & Dobrowolski, Z. (2014). Creating Public Trust: An Organisational Perspective. Frankfurt Am Main, Germany: Peter Lang GmbH, Internationaler Verlag der Wissenschaften.
- Lounsbury, M., & Glynn, M. A. (2001). Cultural Entrepreneurship: Stories, legitimacy and the acquisition of resources. Strategic Management Journal, 22(6-7), 545-564.
- Magretta, J. (2002). Why business models matter. Harvard Business Review, 80, 86-92.
- Mason, C. M., & Harrison, R. T. (2004). Improving access to early stage venture capital in regional economies a new approach to investment readiness. Local economy, 19(2), 159-173.
- Mason, M., & Stark, M. (2004). What do investors look for in a business plan: A comparison of the investment criteria of bankers, venture capitalists and business angels. International Small Business Journal, 22(3), 227-248.
- Mosher, F. C. (1979). The GAO: The Quest for Accountability in American Government. Boulder: Westview Press.
- O’Keefe, T. B., Simunic, D. A., & Stein, M. T. (1994). The production of audit services: Evidence from a major public accounting firm. Journal of Accounting Research, 32(2), 241-261.
- O’Niel, I., & Ucbasaran, D. (2016). Balancing “what matters to me” with “what matters to them”: Exploring the legitimation process of environmental entrepreneurs. Journal of Business Venturing, 31(2), 133-152.
- Osterwalder, A., & Pigneur, Y. (2010). Business Model Generation: A Handbook for Visionaries, Game Changers, and Challengers. Hoboken: John Wiley and Sons.
- Osterwalder, A., Pigneur, Y., & Tucci, C. (2005). Clarifying Business Models: Origins, Present, and Future of the Concept. Communications of the Association for Information Systems, 16, 1-25.
- Patterson, H. R. (1986). The problems of audit and research. The Journal of the Royal College of General Practitioners, 36(286), 196.
- Paul, S., Whittam, G., & Wyper, J. (2007). Towards a model of the business angel investment process. Venture Capital, 9(2), 107-125.
- Persellin, J. S., Schmidt, J. J., Vandervelde, S. D., & Wilkins, M. S. (2019). Auditor Perceptions of Audit Workloads, Audit Quality, and Job Satisfaction. Accounting Horizons, 33(4), 95-117.
- Pollitt, Ch., Girre, X., Lonsdale, J., Mul, R., Summa, H., & Waerness, M. (2002). Performance or Compliance? Performance Audit and Public Management in Five Countries. New York: Oxford University Press Inc.
- Prasad, A. L., & Webster, J. C. (2022). What Are the Trends in PCAOB Inspections and the Reported Audit Deficiencies? Journal of Accounting, Auditing & Finance, 37(3), 523-546.
- Qastharin, A. R. (2015). Business Model Canvas for Social Enterprise. The 7th Indonesia International Conference on Innovation, Entrepreneurship, and Small Business (pp. 1-10).
- Rajgopal, S., Srinivasan, S., & Zheng, X. (2021). Measuring audit quality. Review of Accounting Studies, 26, 559-619.
- Samoliuk, N., Bilan, Y., Mishchuk, H., & Mishchuk, V. (2022). Employer brand: key values influencing the intention to join a company. Management & Marketing. Challenges for the Knowledge Society, 17(1), 61-72.
- Saunders, M., Lewis, P., & Thornhill, A. (2012). Research Methods for Business Students (6th ed.). Harlow: Pearson Education Limited.
- Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333-339.
- Sohl, J. (2012). The changing nature of the angel market. In H. Landström & C. Mason (Eds.), Handbook of Research on Venture Capital, 2(2) (pp. 17-41). Cheltenham: Edward Elgar Publishing.
- Sørheim, R. (2003). The pre-investment behavior of Business Angels: A social capital approach. Venture Capital, 5(4), 337-364.
- Sort, J. C., & Nielsen, C. (2018). Using the Business Model Canvas to Improve Investment Processes. Journal of Research in Marketing & Entrepreneurship, 20(1), 10-33.
- Sułkowski, Ł. (2012). Meta-paradigmatic cognitive perspective in management studies. Argumenta Oeconomica, 2(29), 33-51.
- Sułkowski, Ł., & Dobrowolski, Z. (2021). The role of supreme audit institutions in energy accountability in EU countries. Energy Policy, 156, 112413.
- Sweeney, J., & Summers, S. (2002). The effect of the busy season workload on public accountants’ job burnout. Behavioral Research in Accounting, 14(1), 224-245.
- Teodorescu, C. D. (2015). The internal control models in Romania. Annals of the Constantin Brâncuşi University of Târgu Jiu, Economy Series, Special Issue/2015-Information society and sustainable development.
- Van Manen, M. (2016). Researching Lived Experience. Human Science for an Action. Sensitive Pedagogy. New York: Routledge.
- Zott, C., & Amit, R. (2010). Business model design: An activity system perspective. Long Range Planning, 43(2-3), 216-226.
- Zott, C., Amit, R., & Massa, L. (2011). The business model: recent developments and future research. Journal of Management, 37(4), 1019-1042.
-
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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.
