Behavioral Economics, artificial intelligence (AI), and Entrepreneurship have emerged as critical fields reshaping contemporary management practices. This article explores the connections between these disciplines to propose an updated framework for entrepreneurship management. To achieve this, a systematic literature review was conducted, complemented by a Latent Dirichlet Allocation (LDA) topic modeling algorithm developed in Python to identify thematic patterns across the selected corpus. The findings reveal eight key topics linked to these fields, including strategic management, decision-making, and innovation, highlighting their interrelations through AI integration. Specifically, positive correlations between innovation, market dynamics, and risk management emphasize AI’s potential to enhance entrepreneurial decision-making and market adaptability. Also, behavioral insights further underpin these themes, showcasing AI’s capacity to address cognitive biases and optimize management strategies. Additionally, this study proposes eight research propositions to guide future investigations in this field that align with the identified topics, offering novel theoretical perspectives and practical applications that set an updated framework for management practices. The findings provide entrepreneurs with strategic guidance for leveraging these areas to advance innovation, enhance adaptive decision-making, and promote sustainable management practices within dynamic ecosystems shaped by the growing influence of AI and behavioral economics on managerial frameworks, which capitalize on a deeper understanding of human behavior.

In recent decades, the importance of transport and logistics companies has increased considerably, especially for Lithuania, where this sector is on the rise and creating benefits for various users. Therefore, this study aims to analyse the economic–financial situation of transport and logistics companies operating in Lithuania, focusing mainly on their financial risk, probability of bankruptcy, and level of solvency. To achieve these results, 416 companies were analysed based on their data from 2022. The employed methodology included descriptive analysis, quartile ratio analysis, the use of Altman’s Z-score model to predict bankruptcy, and, finally, logistic regression analysis to answer the hypotheses. The results show that the companies analysed in this study were highly profitable, with a high level of solvency and liquidity that did not compromise their continuity in the market. These results were confirmed by the Z-score analysis. In addition, it was observed that the age and size of the companies did not affect their survival on the market. This study presents results that are of great interest for the academic literature, as well as for the management of logistics companies. The originality of the study lies in its relevance and timeliness, presenting robust results for different stakeholders, such as policymakers or new entrepreneurs, among others.

Biogas production plays an important role in the clean energy economy and is reducing the problems of the energy crisis. The main objective of the current study is to analyze environmental performance by using perennial energy crops in the agricultural sector. Perennial energy crops are neutral for carbon and can be used for electricity and heating, which may mitigate climate change as well. The purpose of this work was to investigate and compare the energy–economy effectiveness and environmental performance of the suitability of four perennial crops for biogas production. Environmental performance was analyzed using the method of the life cycle assessment. To identify the most environmentally sustainable perennial crops for biogas production, a comparative analysis was conducted on four different crops: Lucerne, Miscanthus, Switchgrass, and Reed canary grass. The results of the analysis showed that Lucerne and Miscanthus, during the first–sixth years period, have lower indirect energy input (from 15.2 to 3.2 GJ/ha and 15.6 to 3.2 GJ/ha) than Switchgrass (from 20.9 to 3.2 GJ/ha) and Reed canary grass (from 16.7 to 3.2 GJ/ha). However, the highest direct energy input was determined by Lucerne (from 15.7 to 1.6 GJ/ha), and Miscanthus (from 11.9 to 0.9 GJ/ha) compared to Switchgrass (from 7.4 to 1.8 GJ/ha) and Reed canary grass (from 8.1 to 1.6 GJ/ha). Additionally, the lowest result of the direct economy and indirect economy costs was determined by Lucerne (from 3.9 to 3.7 kEUR/ha (direct) and 9.9 to 2.1 kEUR/ha (indirect)) and by Miscanthus (from 2.4 to 4.9 kEUR/ha (direct) and 11.8 to 1.9 kEUR/ha (indirect)) compared to Switchgrass (5.9 to 5.7 kEUR/ha (direct) and 17.5 to 2.1 kEUR/ha (indirect)), and reed canary grass (from 5.3 to 4.9 kEUR/ha (direct) and 13.7 to 1.9 kEUR/ha (indirect), respectively. The assessment of environmental performance revealed that Reed canary grass and Miscanthus had a more pronounced impact on Acidification. In contrast, Lucerne and Switchgrass had a more significant impact on Eutrophication indicators. The crop cultivation of four perennial crops impacted the environment in various significant ways. Despite the varying environmental impacts of the four perennial crops, the analysis revealed that all of them have the potential to increase biogas production.

Enhancement of internal control is a relevant and ongoing process in organizational performance. This process involves the systematic design, application and monitoring of an organization’s internal control measures to achieve its objectives, minimize errors and financial losses as well as to comply with legal requirements. Enhanced integration of internal control into the efficiency of organizational performance not only helps to identify and control risks, but also ensures the efficient use of resources, improves the quality of performance processes and promotes the responsibility and integrity of employees. The aim of this study is to analyze how the internal control integration contributes to the improvement of organizational performance and to identify success factors and areas for improvement. The study results reveal that most employees are actively involved in the processes of internal control, but some of them lack information or a clear understanding of these processes. This points to the need for enhanced communication and training to improve staff understanding of their roles and responsibilities. Although the organization has a clear structure, there is a lack of information on its meaning and principles of ethics. In addition, there are weaknesses in communication and a lack of focus on strategic aspects. The study shows that clearer dissemination of communication on internal procedures, control procedures and the use of technology needs to be ensured to achieve greater efficiency and transparency. The study provides valuable insights into the impact of internal control system integration on the efficiency, transparency and competitiveness of organizational performance. It contributes to the optimization of control processes and to the development of scientific knowledge on internal control.