Background and Aim: This study investigates the transformative impact of artificial intelligence (AI) on traditional management accounting practices, focusing on predictive analytics, automated reporting, and decision-making processes. The aim is to investigate how AI enhances the efficiency and accuracy of management accounting, as well as its strategic capabilities. Scope: The research is limited to AI applications within management accounting, examining current practices and the extent of AI integration. Methods: A mixed-methods approach combines an analysis of literature with available case studies. Results: The findings reveal that AI greatly enhances predictive analytics by boosting model accuracy and swiftly processing large datasets. AI-powered automated reporting improves efficiency and minimizes errors, while AI-based decision support systems deliver real-time insights and detect complex patterns, resulting in more effective strategic decisions. The study concludes that AI has the potential to revolutionize management accounting by enhancing predictive accuracy, operational efficiency, and strategic decision-making. However, successful implementation must address challenges related to data quality, system integration, and regulatory compliance. Originality: This paper contributes novel insights into how AI technologies can effectively integrate into accounting practices. Practical Implications: The findings are helpful for accounting professionals and business managers seeking to leverage AI to enhance their accounting practices, providing valuable recommendations for implementation and addressing potential challenges.

High quality financial statements should truly and objectively reveal the financial position, business results and changes of a business entity. Satisfied users of financial statements according to which they make decisions represent the best confirmation of high quality financial reporting. The paper deals with the conceptual framework of financial reporting and with an attempt to create unified and revised conceptual framework as a joint project by FASB and IASB. Moreover, it considers novelties that the framework brings. Also, the paper points to the current state in terms of financial reporting quality in the Republic of Serbia. Furthermore, the paper points to some shortcomings of accounting regulation at the national level as a prerequisite of high quality reporting. Finally, the authors propose certain measures and activities for enhancing financial reporting quality in the current economic and political conditions in the Republic of Serbia.

This paper explores the evolving landscape of forensic accounting, particularly in the context of changing financial frauds and the challenges posed by the COVID-19 pandemic. The progression of financial fraud over time, driven by technological advancements and shifting business environments, highlights the necessity for adaptive and innovative approaches to fraud detection and prevention. Advanced methodologies, including data analytics, digital forensics, and artificial intelligence, have empowered forensic accountants to confront increasingly sophisticated fraud schemes. The examination of frauds arising from the pandemic underscores the resilience of fraudsters in exploiting vulnerabilities during crises. This paper underscores the importance of forensic accounting in upholding financial integrity, ethical standards, and business resilience. It calls for continuous research, innovation, and vigilance in the field of forensic accounting to counter emerging fraud schemes and evolving business landscapes.

The subject of this paper is profitability analysis of apple production in the Republic of Serbia. The financial profitability analysis was performed in companies operating in the territory of Vojvodina, Central and Eastern Serbia. This analysis was performed through the calculation of liquidity and profitability ratios. In the Republic of Serbia, 26658 hectares have apple orchards, which indicates that the cultivation of this fruit is highly represented. The aim of this paper is to determine whether apple production is a profitable activity in the Republic of Serbia, selecting three companies based on the analysis of profitability ratios.

The aim of this paper is to investigate the differences in managers' motivation with short-term incentives in the banking sector of the Republic of Serbia. The research study examined whether short-term incentives differently affect managers' motivation, depending on hierarchy and age. For this purpose the survey was conducted, using a questionnaire method. The analysis of various literature sources was performed, emphasizing the importance of short-term incentives, as compensation component, for managers' motivation. Based on insights into existing studies, research hypotheses were established. The empirical results were analyzed quantitatively, using standard statistical methods. The results indicated that there are no significant differences in managers' motivation with short-term incentives, in relation to their current hierarchical position. Further, the survey results revealed significant relationship between motivation with short-term incentives and managers' age, that is, the findings show that short-term incentives are more effective in motivating older managers. Therefore, the results are important for compensation strategies in contemporary business organizations. From the aspect of designing executive compensation packages, organizations need to adapt them to different subgroups of managers, considering their motivational preferences.

A cash flow is "bloodstream" of business and without constant cash flow a company would not be able to function. The cash flow statement is statutory financial report that provides information to the interested parties on cash inflows and outflows from operating, investing and financing activities during the accounting period. This paper will discuss the origin and significance of the cash slow statement; in addition, we will define the main categories of this statement and present the methodology of its composition in accordance with IAS 7.