The aim of this study was to analyze scientific production on accounting strategies for the management of sporting events over the last 20 years. The methodology used was mixed, combining the quantitative perspective of bibliometric analysis and the qualitative perspective of the case study, to deepen the analysis of the data set. Using bibliometrics, the number of scientific papers on this topic was quantified. For the study, 853 papers from Scopus and Google Scholar were considered that met the inclusion criteria in terms of relevance and keywords in English (accounting strategies, financial strategies and sporting events). Between 2021 and 2024, scientific production increased significantly (n = 376; 44.1%), with the United States being the largest contributor, with 21.7%. In addition, Plos One was the most important source, with 22 publications. The most cited author was Crawford (333 citations). Most of the publications (81%) were scientific articles, with 37% focused on medicine and 12% focused on social sciences. It is concluded that the literature on accounting strategies for sport event management has been the subject of research, with a wide variety of authors, topics, countries, and resources in general. Thus, financial planning, cost control, proper revenue recognition, tax compliance, all these strategies enable the organization of a sporting event to be profitable, efficient and sustainable. As a result, there is a complete picture of the global influence, perception and importance of research on this topic, which lays the groundwork for future research in this field. The value of the research lies in its ability to provide evidence-based solutions to improve the financial efficiency and sustainability of sporting events.

This study explores the factors that affect consumer adoption of reusable packaging in South Korea’s food delivery market. Adopting a mixed-method that includes interviews and an online survey of 137 consumers aged 18 to 30, the analysis, using an ordered probit model, reveals key drivers of the likelihood of switching to food delivery services using reusable packaging. Positive influences include environmental concerns, intention to take action on disposable packaging, willingness to pay extra, and awareness that reusable packaging does not require washing. However, challenges such as hygiene concerns and higher delivery fees deter consumers from switching to reusable package option. Demographic factors like living arrangements and gender show minimal impact. In response to the findings, the study suggests strategic solutions, including a pilot program, to overcome barriers and effectively demonstrate the benefits of reusable containers.

Ticket revenues are crucial for the financial success of sports teams. To maximize these revenues, teams continuously explore effective ticket promotional strategies. One such strategy includes partial season plans, which mirror bundle offers common across various industries. Another widespread promotional strategy across industries is offering discounted credit (i.e., store credit purchased at a lower price than its face value). However, its application in sports (e.g., providing a $500 credit for tickets at $450) remains limited. Therefore, this study explores critical questions such as: “How effective is offering discounted credit compared to partial season plans?” and “What factors influence ticket promotion preferences?” Consequently, the study employed a 2 × 2 × 2 experimental designs, considering three independent variables: promotion type (discounted credit vs. partial season plans), promotion flexibility (predefined vs. customizable), and the consumer’s distance to the venue (near vs. distant). Results indicated that partial season plans generated significantly higher perceived value and purchase intentions  while presenting lower perceived risks than discounted credit . Promotion flexibility did not significantly influence the three dependent variables , but the distance to the venue did . Both practical and theoretical implications of these findings are discussed.

The year of 2024 marked the twelfth anniversary of the cooperative mechanism between China and Central and Eastern European countries (China-CEEC). China has repeatedly affirmed its willingness to implement the 2030 Agenda for sustainable development and the sustainable development goals (SDGs), which created many opportunities to enhance the cooperation of the two sides. The paper exemplified some cases in the process of the cooperation, which were rarely discussed previously as normally it was dominated by the large-scale investment project. The cases of the climate change and ocean issues were perceived as a package of holistic EU-China relations that demonstrates the commitments from both sides to deal with SDG 13 and SDG 14. A qualitative method of the policy-circle evaluation and the goal-setting in the global governance was applied in the paper. The findings affirm that the current China-CEEC cooperation scheme is still carrying on both opportunities and challenges and affected by various internal and external factors.

The transportation sector in India, which is a vital engine for economic growth, is progressively facing challenges related to climate change. Increased temperature, extreme weather conditions, and rising seas threaten physical infrastructure, service delivery, and the economy. This research examines efforts towards improving the climate resilience of India’s transport sector through policy interventions. Strategies encompass broadening the focus to cover the integration of sustainability, innovative technology deployment, and adaptive infrastructure planning. Multi-sectoral measures are proposed to guarantee longevity, equity and environmental protection. National transport infrastructure will be secured, people will be enabled to move sustainably, and India will take its position in the world economy as a climate-resilient country. Long-term resource management and promoting inclusive governance are critical to agri-transportation systems that can withstand the changing climate.

The major goal of decisions made by a business organization is to enhance business performance. These days, owners, managers and other stakeholders are seeking for opportunities of modelling and automating decisions by analysing the most recent data with the help of artificial intelligence (AI). This study outlines a simple theoretical model framework using internal and external information on current and potential clients and performing calculations followed by immediate updating of contracting probabilities after each sales attempt. This can help increase sales efficiency, revenues, and profits in an easily programmable way and serve as a basis for focusing on the most promising deals customising personal offers of best-selling products for each potential client. The search for new customers is supported by the continuous and systematic collection and analysis of external and internal statistical data, organising them into a unified database, and using a decision support model based on it. As an illustration, the paper presents a fictitious model setup and simulations for an insurance company considering different regions, age groups and genders of clients when analysing probabilities of contracting, average sales and profits per contract. The elements of the model, however, can be generalised or adjusted to any sector. Results show that dynamic targeting strategies based on model calculations and most current information outperform static or non-targeted actions. The process from data to decision-making to improve business performance and the decision itself can be easily algorithmised. The feedback of the results into the model carries the potential for automated self-learning and self-correction. The proposed framework can serve as a basis for a self-sustaining artificial business intelligence system.