This paper aims to generalize linear models for the multiproduct break-even point. Taking into consideration identified research gaps, the paper focuses on deriving formulas for determining the multiproduct break-even point through determination models. Different assumptions regarding the constancy of individual product contribution structures to total physical production volume, total revenue, total variable costs, and total contribution margin are taken into account. Additionally, connections between the obtained solutions from different models and different assumptions regarding the constancy of individual product contributions are established. The verification of the optimality of solutions obtained through different determination models is conducted by comparing them with solutions derived from linear programming as a benchmark. The developed models are tested using a case study of a multiproduct company in the metal processing industry. Through comparative analysis, the hypotheses concerning obtaining an optimal solution and the identical nature of solutions derived from the determination model and linear programming are examined. This paper contributes to the understanding of the multiproduct break-even point, providing a theoretical and practical framework for evaluation and enabling the application of various determination models in the context of a multiproduct situation.

he study aims to assess the capability of various data mining techniques in detecting inaccurate financial statements of government-owned enterprises operating in the Federation of Bosnia and Herzegovina (FBiH). Inaccurate financial statements indicate potential financial fraud. Prediction models of four classification algorithms (J48, KNN, MLP, and BayesNet) were examined using a dataset comprising 200 audited financial statements from government-owned enterprises under the supervision of the Audit Office of the Institutions in the Federation of Bosnia and Herzegovina. The results obtained through data mining analysis reveal that a dataset encompassing seven balance sheet items provides the most comprehensive depiction of financial statement quality. These seven attributes are: opening entry of accounts receivable, profit (loss) at the end of the period, operating assets at the end of the period, accounts receivable at the end of the period, opening entry of operating assets, short term financial investments at the end of the period, and opening entry of short-term financial investments. By employing these seven attributes, the MLP algorithm was implemented to construct the most precise predictive model, achieving a 76% accurate classification rate for financial statements. Leveraging the identified attributes, a mathematical model could potentially be formulated to effectively predict financial statements of government-owned enterprises in FBiH. This, in turn, could considerably facilitate the process of selecting GOEs for inclusion in the annual work plan of state auditors. Presently, due to resource constraints, government-owned enterprises in FBiH do not undergo regular annual scrutiny by state auditors, with only 10 to 15 such enterprises being subject to audits each year. The results of this research can also be beneficial to both the public and the Financial Intelligence Agency in the FBiH. The paper contributes to filling the gap in the literature regarding the applied methodology, particularly in the part concerning the attributes used in the research.

This paper aims to investigate the status of alignment and harmonization of corporate reporting in Western Balkans (WB) countries with the European Sustainability Reporting Standards (ESRS). Specifically, the research will focus on understanding the extent to which WB countries have initiated the adoption of ESRS, particularly in the context of the Corporate Sustainability Reporting Directive (CSRD) that mandates its use for companies within the European Union (EU) and its branches. The paper will compare the achieved level of sustainability reporting in Western Balkan countries with other countries located in Europe that are not members of the European Union. Despite the mandatory nature of ESRS for companies within the EU, our preliminary analysis indicates a lack of progress in the alignment and harmonization process among the WB countries. Western Balkan countries are also lagging behind, compared to other non-EU member countries, such as Switzerland and Norway, which have been selected for comparative analysis. The research seeks to uncover the reasons behind this lag and to explore the potential challenges faced by companies in the WB region in implementing these standards. It is crucial to understand the current state of sustainability reporting practices in WB countries and the challenges faced in aligning with ESRS. It will provide valuable insights for policymakers, businesses, and stakeholders on the necessary steps to enhance sustainability reporting practices in the region and foster alignment with international standards.

The paper focuses on analyzing key factors influencing the effectiveness of internal audit in the public sector of Bosnia and Herzegovina (BiH). Through multiple regression analysis (Ordinary Least Squares-OLS), the impact of five independent variables (competence of internal auditors, size of internal audit department, relationship between internal and external auditors, management support for internal audit, and independence of internal auditors), two control variables (organization’s sector and total number of employees in the organization), on the dependent variable (effectiveness of internal audit) was measured. Research results indicate that a significant portion (.2 = 45.00%, Adj .2 = 40.90%) of the variability in the effectiveness of internal audit can be explained by the variability of the five independent variables in the model. The largest positive impact on the effectiveness of internal audit is attributed to the size of the internal audit department and the independence of internal auditors. Conversely, management support for internal audit had the least impact, which contradicts our predictions and the results of previous research. The limited impact of management support on the effectiveness of internal audit in the public sector of BiH may stem from a lack of understanding regarding the role and importance of internal audit, as well as from perceiving it as merely a formal legal requirement without substantial value.

Abstract Considering the burning problem of corruption and non-transparency of public enterprises in the Federation of Bosnia and Herzegovina (FBiH), the paper aims to investigate whether the Beneish M-score model can be used to predict inaccurate financial statements. Where, the cause of inaccurate financial statements are intentional or unintentional errors. On a sample of 200 financial statements of public enterprises and related audit reports issued by the Audit Office of the Institutions in FBiH, we made a link between the Beneish M score model with its partial indicators (DSRI, GMI, AQI, SGI, DEPI, SGAI, LVGI, TATA) and four types of opinions: positive, opinion with distraction, negative and refraining from giving opinions. The research was conducted using descriptive statistics and an artificial neural network with the “scaled conjugate gradient backpropagation (trainscg)” algorithm for pattern recognition and classification. The research results show that it is possible on the basis of 8 partial indicators (DSRI, GMI, AQI, SGI, DEPI, SGAI, LVGI, TATA) i.e. 24 balance sheet position for their calculation, predict the auditor’s opinion on the quality of financial statements of public companies with an accuracy ranging between 98 and 100% in repeated procedures. The results of the research have their practical usefulness and can serve to researchers, creditors, customers, suppliers and state auditors in planning resources and priorities for performing financial audits at public companies in the FBiH.

The paper aims to investigate the influencing factors for the choice of accounting specialization by students at ten public higher education institutions in Bosnia and Herzegovina (BiH). In addition to the above, the paper also explores the gender structure of the students, the type of secondary education, the time of making the decision to choose the field of accounting, and planned future training in accounting. The research sample consisted of 253 respondents, and data collection was performed by electronic survey through distance learning platforms. To identify the key factors in choosing to study accounting, we used the multivariate method of factor analysis of major components. The results of the research point to the existence of four key influencing factors in the selection of accounting specialization: achievement, job fulfillment, the influence of authorities in the field of science and profession, and the influence of parents and friends. Over 77 percent of the students are women, and the students have mostly completed general high schools (gymnasiums) or high schools of economics (92 percent). More than 98 percent of the students plan to continue their training in the field of accounting. The results of the research have practical use in terms of preparation and presentation of accounting policies at public higher education institutions in BiH, given that the reduced number of students has resulted in rival positions among different study areas. The results of the research can also be useful to professional groups in the field of accounting in terms of achieving their strategic goals.

According to both theoretical and empirical research results, this paper has the aim to determine, the extent to which the current accounting regulatory framework (IFRS 3 and IAS 36) offers an adequate basis for correct valuation of goodwill. We have researched all the available critical reviews of the accounting treatment of goodwill and the quality of applying accounting regulations onto expression of the goodwill position in BH companies’ practices. The empirical research was conducted on all the companies in the Federation of Bosnia and Herzegovina (FBiH), which recorded goodwill in their balance sheets in the period from 2013 to 2018. The research results have shown a high level of subjectivity in the process of determining the value of goodwill, and great discrepancies in adhering to the accounting regulations in the part of additional valuation and expression of goodwill value in financial reports. This resulted in the fact that the share of companies in FBiH which express decreased values of goodwill is far greater than the share of companies in the European union (EU). The main contribution of this paper is the fact that this is the first comprehensive research on evaluation of goodwill in FBiH companies in comparison to the situation in the EU. Also, it confirms the Agency Theory and shows great subjectivity in evaluation which results in an unjustified expression of a higher operative success in financial reports.

According to both theoretical and empirical research results, this paper has the aim to determine, the extent to which the current accounting regulatory framework (IFRS 3 and IAS 36) offers an adequate basis for correct valuation of goodwill. We have researched all the available critical reviews of the accounting treatment of goodwill and the quality of applying accounting regulations onto expression of the goodwill position in BH companies’ practices. The empirical research was conducted on all the companies in the Federation of Bosnia and Herzegovina (FBiH), which recorded goodwill in their balance sheets in the period from 2013 to 2018. The research results have shown a high level of subjectivity in the process of determining the value of goodwill, and great discrepancies in adhering to the accounting regulations in the part of additional valuation and expression of goodwill value in Þ nancial reports. This resulted in the fact that the share of companies in FBiH which express decreased values of goodwill is far greater than the share of companies in the European union (EU).

The paper has two research goals. The first goal is to investigate the prevalence of certain techniques of strategic management accounting in large companies in Bosnia and Herzegovina (hereinafter BiH), while the second research goal is to analyze the dependence of the number of strategic management accounting techniques used and the degree of development of the cost system in the company. For the purposes of this research, we collected survey questionnaires from 110 large companies based in BiH. The results of the research show that the three most common techniques of strategic management accounting in large companies in BiH are: Quality Costing (52.73%), Strategic Pricing (51.82%) and Benchmarking (50.91%), while the least common techniques are: Life Cycle Costing (11.82%), Attribute Costing and Integrated Performance Management Systems (with 12.73% each), and Activity Based Costing/ Management (17.27%). One-way analysis of variance (ANOVA) tested the differences in the number of strategic management accounting techniques used and the level of development of the cost system in companies. Companies that applied on average two techniques of strategic management accounting belonged to the first level of development, those that applied on average four techniques belonged to the second level of development, while companies that have the third level of cost system development on average applied six techniques of strategic management accounting. There were no companies in the sample with the fourth and fifth level of development of the cost system.