This research article investigates the synergies between artificial intelligence (AI), digital transformation (DT), and financial reporting systems within the business context. The central theme explores how organizations enhance their decision-making processes by integrating AI technologies into digital transformation initiatives, particularly in financial reporting. The focal point is comprehending how the synergy of these integrated systems can unlock substantial business value, instigate strategic innovation, and elevate overall financial analytics through the adoption of intelligent, data-driven decision-making methodologies. By harnessing advanced analytics, automation, and adaptive decision support capabilities, organizations navigate the complexities of a rapidly evolving business environment, in which neural networks emerge as a valuable tool for calibrating outcomes in the financial accounting environment, demonstrating effectiveness in processing complex financial data, identifying patterns, and making predictions, ushering in a new era of transformative possibilities. The introduction of a game theory payoff matrix in this AI decision-making tool adds a strategic framework for analyzing interactions among decision-makers, considering strategic choices and outcomes in a dynamic and competitive context.

Currently, sustainability and sustainable development are issues that concern society due to the high degree of pollution and the measures taken that, in many cases, do not prove their efficiency. Economic entities are aware that their involvement in the community has become necessary for the sustainable development of any business. The promotion of responsibility towards the environment is an important principle of corporate social responsibility (CSR), which is becoming an obligation that can no longer be exempted. Our intention in this paper was to study the changes generated by the European Union (EU) Directive 2014/95 regarding the manner in which oil entities listed at the Bucharest Stock Exchange (BSE) and the Athens Stock Exchange (ATHEX) between 2014 and 2018, report environment-related information. We also identified whether entities in fields that are known as polluting were more sensitive to environmental factors and if they tended to report more information compared to other business sectors. To achieve these objectives, we used qualitative and quantitative research. Namely, we analyzed the entities’ non-financial reports, to identify their social responsibility actions, and we tested if they were correlated with the environment protection and also with the 2014/95 European directive stipulations. For the entities operating in this polluting area, demonstrating transparency regarding the efforts and investments made to counteract the environmental impacts is important. Non-financial corporate reporting can be an opportunity to integrate sustainability into a company’s business practices and strategies to obtain benefits and to increase efficiency and, thus, to increase stakeholder confidence. The contribution of our study is to highlight the importance of non-financial information for the sustainable development of companies and the environment.

The paper examines if COVID-19 crisis has brought changes in companies’ approach on corporate reporting, with focus on annual reports. The research method is based on text mining techniques in order to build measures of readability and tone of uncertainty of annual reports, given the information published by the companies listed on four stock exchanges from Europe, namely the Bucharest Stock Exchange, ATHEX Stock Exchange, IBEX-35, and WIG-20 between 2017–2020. Findings emphasize, through text mining, multivariate analysis, and topic modeling, that the analyzed reports are less extensive in times of pandemic and tend to become more generic. Among firms’ financial performance metrics considered in our models, we found that there is a significant association only between annual reports textual characteristics and respectively, firm size, price earnings ratio and accruals reported. We prove as well significant stock exchange effects and industry effects. Our results show a slight decrease in annual reports readability, while the tone of uncertainty is more prominent within firms listed on less mature stock exchanges.

Nowadays, when the contribution of agriculture and agro-food industry to the GDP is a significant, in Romania?s case we appreciate that the economic aspects of this area also deserve a specific approach. The aim of this paper was to identify the incompatibility of the recognition and assessment criteria of agriculture production, biological assets and agriculture products imposed by the application of these standards in agro-food companies, and to analyze its effects concerning the financial position and performance of these entities. The paper takes into consideration the economic-financial harmonization process, which is now in full progress, both in the EU and other states, by applying the specific standards (IAS/IFRS) in the preparation of annual/interim financial reports. Finally, referring strictly to the case of Romania, after thorough research into the field in question, we suggest a presentation of the controversial assessment criteria provided by the IAS 41 standard, and also refer to the difficulties related to the implementation of this standard in the agro-food industry.

In a global economic system where essential resources are limited, demand is increasing and environmental degradation is more pronounced, the only viable option to ensure sustainable development is to create an environmentally friendly and efficient economy in order to produce more economic value with the same or fewer resources. The aim of this paper is to provide insight into the macroeconomic implications determined by the transition to a forest bioeconomy, with a focus on the impact on the national gross value added. More specifically, this analysis assesses the relationship between the potential of the macroeconomic value creation on the forestry industry and the measures of progress on the transition towards sustainable forest management and long-term economic growth. The analysis refers to a period between 2013 and 2019, summing-up 133 observations, data that were reported by Eurostat for 23 European Union members. We propose a model that describes a construct of the potential of the value creation that can be generated by each country included in our sample, translated into an efficiency score determined using the Data Envelopment Analysis(DEA)methodology. The results highlighted that the evolution of economic, social, and environmental (ESG) context positively impacted the efficiency score. This positive evolution in time was mainly driven by the higher awareness of governments, companies, and people on the need for a transition to sustainable economic growth and sustainable forest management. Furthermore, this study highlights that the transition to sustainable economic growth implies negative changes to the cost structure of the economies, which lead to higher operational costs and lower gross value added. Moreover, our study provides more insight, from an econometric methodology perspective, regarding the synergy effect as determined by the transformation of business models in the forestry sector towards sustainable forest management.