TY - JOUR AU - Földi, Péter AU - Parádi-Dolgos, Anett AU - Bareith, Tibor TI - EXAMINATION OF THE PERFORMANCE OF FOOD INDUSTRY ENTERPRISES BETWEEN 2010 AND 2021 JF - REGIONAL AND BUSINESS STUDIES J2 - REG BUS STUD VL - 15 PY - 2024 IS - 2 SP - 59 EP - 71 PG - 13 SN - 2061-2311 UR - https://m2.mtmt.hu/api/publication/34791498 ID - 34791498 LA - English DB - MTMT ER - TY - JOUR AU - Ordonez Olivo, Maria Lourdes AU - Caroline, MARTINS TI - CURRENT SCENARIOS OF CIRCULAR ECONOMY IN BRAZIL AND ECUADOR:REVIEW ARTICLE JF - REGIONAL AND BUSINESS STUDIES J2 - REG BUS STUD VL - 15 PY - 2023 IS - 2 SP - 17 EP - 36 PG - 20 SN - 2061-2311 DO - 10.33568/rbs.4685 UR - https://m2.mtmt.hu/api/publication/34794414 ID - 34794414 LA - English DB - MTMT ER - TY - JOUR AU - Barna, Róbert AU - Horváthné Kovács, Bernadett AU - Király, Martin AU - Turnai, Zsófia TI - Spatial Analysis of Game Damage in the Settlement of Cserénfa at the Kaposvár Forestry of SEFAG JF - REGIONAL AND BUSINESS STUDIES J2 - REG BUS STUD VL - 15 PY - 2023 IS - 1 SP - 47 EP - 59 PG - 13 SN - 2061-2311 DO - 10.33568/rbs.4564 UR - https://m2.mtmt.hu/api/publication/34391681 ID - 34391681 AB - Reducing game damage is the essential interest of both farmers and hunters. A former paper on statistical analysis of game damage is complemented with spatial analysis in the recent paper. Authors examined the forest cover at Kaposvár Forestry of SEFAG, and also the location, the topography, the land cover of Cserénfa, and their relationship with the location of the game damage events. The maps clearly show that in the forested, hilly Zselic landscape, the island-like agricultural areas are inherently exposed to game damage. Only 3.77% of the total area of the Kaposvár Forestry is located further than 300 m distance of the forest, in Cserénfa, this is only 1.59%. Considering the topography of Cserénfa, it was found that only 39% of the agricultural area has a slope of less than 5%. Due to the steep slopes and the exposure to game damage, an alternative form of farming is proposed. LA - English DB - MTMT ER - TY - JOUR AU - Debreceni, János AU - Fekete-Frojimovics, Zsófia TI - Understanding Resilience in Tourism and Hospitality JF - REGIONAL AND BUSINESS STUDIES J2 - REG BUS STUD VL - 15 PY - 2023 IS - 1 SP - 5 EP - 18 PG - 14 SN - 2061-2311 DO - 10.33568/rbs.4388 UR - https://m2.mtmt.hu/api/publication/34391573 ID - 34391573 AB - The two years that have passed since the spring of 2020 have been an extremely unfavorable period for businesses in the tourism and hospitality sector. The coercive measures introduced due to Covid-19 led to adverse events, often crises in the operation of stores. The literature on resilience gives the most adequate answers to the question of how successfully a company resists or adapts to an unfavorable market situation. Resilience refers to the ability of the organization to continue to function during an adverse event by bouncing back or adapting to the circumstances in a new way. The purpose of this study is to summarize the concepts of resilience and present its aspects related to tourism and hospitality. The systematic processing of the results of resilience research found in the literature is not only useful for understanding the current situation but can also provide an effective coping strategy for another period of crisis. Since the research of corporate skills plays an important role in the post-Covid-19 recovery, the study proposes possible research methods for resilience and points out the challenges of business research. LA - English DB - MTMT ER - TY - JOUR AU - Gulyás, Rebeka AU - Sipiczki, Zoltán AU - Gál, Veronika TI - The Link Between Return and Risk in the Case of Bitcoin JF - REGIONAL AND BUSINESS STUDIES J2 - REG BUS STUD VL - 15 PY - 2023 IS - 1 SP - 19 EP - 31 PG - 13 SN - 2061-2311 DO - 10.33568/rbs.4649 UR - https://m2.mtmt.hu/api/publication/34376184 ID - 34376184 AB - Over time, cryptocurrencies have experienced a widespread adoption, with bitcoin emerging as the most prominent example. In an increasingly uncertain world, the significance of possessing a stable store of value, traditionally fulfilled by gold, has escalated. Bitcoin has been often referred to as a digital equivalent of gold. Hence, this study primarily focuses on analyzing the price dynamics of this particular cryptocurrency. A comprehensive literature review will be employed to examine the regulatory obstacles encountered within the cryptocurrency market. Additionally, considering the contentious nature of this field, special attention will be devoted to the clash of perspectives surrounding this innovation. Subsequently, concentrating on the period 2016-2021, this paper will investigate the factors that define a risk-weighted investment, utilizing the Sharpe ratio and Sortino ratio. However, there has been significant volatility in the price of Bitcoin in 2020-2021, and our research fills a gap in the relationship between Bitcoin returns and risk in the post-2016 period. Overall, the analysis concludes that bitcoin exhibits highly turbulent investment characteristics. Despite its substantial price appreciation, the findings indicate that bitcoin displays significant volatility. Consequently, selecting this investment alternative entails considerable risks. Based on our results, there were years between 2016-2021 when bitcoin was a good investment, but in most cases its returns were associated with excessive volatility and risk. For this reason, it is not recommended for risk-averse rational investors. LA - English DB - MTMT ER - TY - JOUR AU - Molnár, Dániel AU - Horváth , Tamás AU - Bareith, Tibor TI - Investigating Profit Persistence Among Hungarian Plastic Manufacturing Companies JF - REGIONAL AND BUSINESS STUDIES J2 - REG BUS STUD VL - 15 PY - 2023 IS - 1 SP - 33 EP - 45 PG - 13 SN - 2061-2311 DO - 10.33568/rbs.4429 UR - https://m2.mtmt.hu/api/publication/34316080 ID - 34316080 LA - English DB - MTMT ER - TY - JOUR AU - Kämpf, Doreen TI - Coopetition in the Context of the Sustainability Goals JF - REGIONAL AND BUSINESS STUDIES J2 - REG BUS STUD VL - 14 PY - 2022 IS - 2 SP - 47 EP - 61 PG - 15 SN - 2061-2311 DO - 10.33568/rbs.3353 UR - https://m2.mtmt.hu/api/publication/34083655 ID - 34083655 AB - The article explores the literature on coopetition in relation to sustainability goals. The research is based on three parts, which specifically address the terms „coopetition” and „sustainability”, respectively, and then examine the literature that specifically focuses on the topic of „coopetition and sustainability”. In particular, the research provides the following answers: How is the novel type of mergers between competitors known as „coopetition” interpreted in academia? What is meant by sustainability? What are its origins and the driving forces that can influence cooperation with competitors? It is noted that competitive cooperations between competitors exist in many fields of entrepreneurship and cannot be attributed to one single industry. In the past, the main drivers for entrepreneurs to enter a coopetition were economic aspects. Among others, the reduction of costs, the increase or optimisation of economic performance and thus the strengthening of competitiveness vis-à- vis other competitors, as well as the opening up of new markets and the reduction of business risk. Since the adoption of the Sustainable Development Goals (SDGs) of the 2030 Agenda, however, sustainability considerations have become another driver for entering a coopetition, if not one of the main future drivers. This is because not only political requirements but also the purchasing behaviour of consumers have led to rethinking in the corporate sector. LA - English DB - MTMT ER - TY - JOUR AU - Shakenova, Ainur TI - A Survey About Patents, Invention and Commercialization Processes in Kazakhstan JF - REGIONAL AND BUSINESS STUDIES J2 - REG BUS STUD VL - 14 PY - 2022 IS - 2 SP - 31 EP - 45 PG - 15 SN - 2061-2311 DO - 10.33568/rbs.4121 UR - https://m2.mtmt.hu/api/publication/34083649 ID - 34083649 AB - This article is about the importance of intellectual property in the innovation process. It focuses on the results obtained in the survey with owners of patents in Kazakhstan. The questions were related to the processes of invention and commercialization. From the mainstream of responses, we identified those that are crucial in the process of invention and those that can affect the process of commercialization in the future. Namely, we were interested in the variables which are significant in the process of invention and how they affect commercialization. The result of the post-hoc test identified the data which differ within groups. It was found that eight variables were different in the combination of groups: the number of authors, the type of resource R&D, the number of patents, and the evaluation of the invention, expressed in terms of money. This test revealed that these variables change from group to group. Moreover, it allowed us to look deeper into the inventive process and identify the direction of these changes. LA - English DB - MTMT ER - TY - JOUR AU - Ujj, Apolka AU - Koponicsné Györke, Diána TI - Assessing Agroecological Vocational Training Approach Through the Eyes of Farmers JF - REGIONAL AND BUSINESS STUDIES J2 - REG BUS STUD VL - 14 PY - 2022 IS - 2 SP - 21 EP - 29 PG - 9 SN - 2061-2311 DO - 10.33568/rbs.3278 UR - https://m2.mtmt.hu/api/publication/34083642 ID - 34083642 AB - Agroecology (AE) as a broad collection of good farming management practices, recognizes the impacts of agriculture on ecosystems and society. Even though AE does not have a specific certification method, its basic components can be identified at the farm level too. In the context of the trAEce project, research was conducted in order to investigate the concept of AE at the farm level. Furthermore, the topics that can be taught in the form of vocational training designed for farmers in connection with AE have also been identified. Accordingly, a 6-module training with 7 events was organized with the aim of testing the developed AE vocational training curriculum. The main target group of the training was conventional farmers who are committed to changing their farming methods and are open to agroecological solutions. The participants had opportunities to express their opinion about the training after each module day, and after completing the whole course. The analysis of the feedback questionnaires proved that the practice-oriented vocational training course that promotes well-established good practices combined with basic theoretical knowledge is considered an effective method to increase farmers’ knowledge about AE. The training helps conventional farmers in the transition towards AE contributing to the even more efficient use of EU subsidies. LA - English DB - MTMT ER - TY - JOUR AU - Robus, Steffen AU - Kőműves, Zsolt Sándor AU - Walter, Virág TI - An Overview of Performance Measurement for Demand Forecasting Based on Artificial Neural Networks JF - REGIONAL AND BUSINESS STUDIES J2 - REG BUS STUD VL - 14 PY - 2022 IS - 2 SP - 5 EP - 20 PG - 16 SN - 2061-2311 DO - 10.33568/rbs.4434 UR - https://m2.mtmt.hu/api/publication/34083636 ID - 34083636 AB - Demand forecasting is an essential task to match supply and demand. From a supplier’s view, demand forecasting is important to optimize supply chains and thus maximize profits. The ever-increasing availability of data that can be used as input factors for predictive models allows more and more sophistication for diverse forecasting tasks in the context of demand forecasting. On the one hand, increasingly complex models have been used for demand forecasting over the last years, from simple exponential smoothing methods and ARIMA models up to complex, hybrid (deep) artificial neural networks. On the other hand, little attention is paid to the methods that evaluate the forecasting performance of these models, which are essential for the selection from among potential forecasting models. In this article, we aim to answer the question of what are the most favourable measurements in recent literature on applied neural network demand forecasting for supply chain management. To this end, we analyzed 193 relevant publications in which demand forecasting was applied using artificial neural networks. We found that in artificial neural network demand forecasting used to evaluate forecasting performance, Mean Absolute Percentage Error, Root Mean Squared Error, Mean Squared Error and Mean Absolute Error are by far the most popular methods. Furthermore, we found that when forecasting performance measurements are combined, the most common combination is the combination of Mean Absolute Error, the Root Mean Squared Error and the Mean Absolute Error. LA - English DB - MTMT ER -