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The accounting of small and medium enterprises is specific, compared to the accounting of large enterprises, for several reasons. First of all, lower business volume implies less demanding accounting in terms of less turnover and the number of accounts to be processed, lower financial reporting requirements, more favourable tax treatment is expected and the like. Practical experience in the years of application of EU-accounting directives, which represent the framework of financial reporting of companies at the EU level, pointed to certain difficulties or excessive administrative burden of small and medium enterprises in relation to the requirements for large companies and identified areas for improvement. The complexity of these regulations as well as problems in practical application have led to the need to develop and publish a revised single accounting directive (2013/34/EU). This Directive was primarily adopted with the aim of simplifying the accounting and financial reporting of small and medium-sized enterprises.
Today, it is common for small and medium-sized enterprises to go beyond the borders of one country. In the internationalization of business, SMEs face many challenges and potential barriers. First of all, it refers to financial, human and procedural barriers, but also to informational barriers related to regulations, rules and laws of other countries. Since the accounting and tax treatment of the same business transaction may differ between countries, it seems entirely justified to investigate whether there are differences in the regulation and regulation of the accounting system between the two countries. This paper compares the characteristics of small and medium-sized enterprises’ accounting systems between two economically strongly connected countries, Germany and Croatia, which is the main goal of this paper. It is well known that financial reporting is a particularly important, final phase of accounting data processing. Namely, financial reporting system of these two countries is compared by using the method of comparison and classification analysis. The types and scope of financial statements have been defined and the content of financial statements that SMEs are obliged to compile and publish has been analysed. The paper pays additional attention to the analysis of similarities and differences between these two accounting regulations as well as current events in the implementation of the revised accounting directive into national legislation, especially in simplifying the financial reporting of the smallest, but numerically most represented micro enterprises. The important finding of the research show that some changes have been made but there is still room to improve accounting regulations for this segment of entrepreneurship.
While the topic of artificial intelligence (AI) in multinational enterprises has been receiving attention for some time, small and medium enterprises (SMEs) have recently begun to recognize the potential of this new technology. However, the focus of previous research and AI applications has therefore mostly been on large enterprises. This poses a particular issue, as the vastly different starting conditions of various company sizes, such as data availability, play a central role in the context of AI. For this reason, our systematic literature review, based on the PRISMA protocol, consolidates the state of the art of AI with an explicit focus on SMEs and highlights the perceived challenges regarding implementation in this company size. This allowed us to identify various business activities that have been scarcely considered. Simultaneously, it led to the discovery of a total of 27 different challenges perceived by SMEs in the adoption of AI. This enables SMEs to apply the identified challenges to their own AI projects in advance, preventing the oversight of any potential obstacles or risks. The lack of knowledge, costs, and inadequate infrastructure are perceived as the most common barriers to implementation, addressing social, economic, and technological aspects in particular. This illustrates the need for a wide range of support for SMEs regarding an AI introduction, which covers various subject areas, like funding and advice, and differentiates between company sizes.