Suchergebnisse

Prior research has demonstrated the value of an entrepreneurial mindset in business. The so-called third mission is also becoming an increasingly important aspect of university operations. This involves leveraging knowledge generated at the university level to create close links with society and the economy. The role of intrapreneurs has been examined in the corporate, for-profit sector. However, these agents of change also play a significant role in the advancement of entrepreneurial universities. The present research investigates the role of intrapreneurs in entrepreneurial universities through a bibliographic analysis using RStudio biblioshiny on the Scopus and Web of Science databases. It is evident that the literature on this subject has gained interest in recent years, yet the number of documents remains limited, with a small number of authors publishing them. The development of keywords is also notable, including the emergence of sustainability, which is linked to intrapreneurs and the entrepreneurial universities. Although this study has its limitations, it can show how and where authors should publish, what the basic and the emerging topics are, what the most important keywords are and how these are connected and how countries cooperate in searching for solutions in this globally recognized research area.

Cryptocurrencies are quickly becoming a key tool in investment decisions. The volatile nature of bitcoin prices has spurred the demand for robust predictive models. The primary objective of this study is to evaluate and compare the effectiveness of different machine learning models with the combination of technical indicators in predicting bitcoin prices. The study used 27 critical technical indicators to evaluate four machine learning techniques, namely Artificial Neural Network (ANN), a Hybrid Convolutional Neural Network and Long Short-Term Memory (CNN-LSTM), Support Vector Machine (SVM), and Random Forest. The results showed that ANN and SVM achieve a significant prediction accuracy of 81% and 82%, respectively, which is higher than the results of traditional models such as standard ARIMA. In practical applications, these methods often improve prediction accuracy by 20-30% over traditional models. The novelty of the analysis lies in the use of temporal and spatial trends via momentum, ROC, and %K features, making for a holistic approach to cryptocurrency market forecasting. This study underscores the critical importance of specific technical indicators and the imperative role of data mining in revolutionizing cryptocurrency market navigation. The research results highlight opportunities to improve investment strategies and risk management policies in the bitcoin market using machine learning models, making the latter valuable to investors and financial experts.

This paper examines the spatial dynamics and regional distribution of the novel coronavirus epidemic in Hungary in an effort to obtain a deeper understanding of the connection between space and health. The paper also presents comprehensive epidemiologic data on the spatiotemporal spread of the COVID-19 pandemic in terms of the epidemic waves. Following a comparison of the growth rates of infection numbers, the current study explores the geographical dimension of the three pandemic waves. The partial transformation of spatial characteristics during the three epidemic waves is among the most important results found. While geographical hotspots influenced the first wave, newly confirmed coronavirus cases in the second and third waves were due to community-based epidemic spreading. Furthermore, the western-eastern spatial relation and the core-periphery model also affected the regional distribution of new cases and deaths in the initial two waves. However, a new spatial pattern - realised by the northern-southern spatial orientation - appeared during the third wave. The outputs of this paper offer feasible suggestions for evidence-based policymaking in pandemic prevention, mitigation, and preparedness.

Since COVID-19 was confirmed in Bangladesh in March 2020, the government have enacted stringent measures to prevent the spread of the coronavirus, which has had a significant impact on people's lives. Food consumption habits of consumers have shifted as a result of declining grocery shopping frequency, negative income shock, and food prices shooting up. This paper aims to explore Bangladeshi consumers' buying behaviour in association with the stress generated from a food supply shortage during the COVID-19 pandemic and the post-outbreak perception of the food industry, using a dataset with 540 online samples collected between July and August 2021. A two-stage cluster sampling method and self-administrated questionnaire techniques were adopted for collecting the data during the third wave of COVID-19. Using partial least squares path modelling (PLS-PM) and multivariate multiple ordered logit regression (MVORD) to reveal the pertinent structure between all the blocks, this study provides two key findings. First, a higher intensity of COVID-19 impact translates into higher food stress associated with income reduction and higher food prices. Second, food stress directly affects consumer buying and consumption behaviour. We strongly recommend connecting consumers with local producers and collective use of shared warehouses through institutions, policies, and reforms to prevent disruption in the food supply chain and to keep food prices stable. Additionally, food producers, distributors, stakeholders, and policy planners should strengthen the food supply chain to stabilize food security.

Relevance. The new coronavirus pandemic (COVID-19) has brought major changes to everyday life and economy in 2020. The impacts of the pandemic are still difficult to measure and interpret. This paper analyses the key socio-economic factors that shaped the course of the pandemic and its regional effects in Hungary.Research objective. The aim of this paper is to provide a secondary data-based analysis of regional disparities in Hungary as well as the implications of the coronavirus pandemic and the related policy responses.Data and methodology. The analysis consisted of the three stages: first, we processed the official epidemiologic data related to the coronavirus pandemic and the territorial patterns of infections as well as the data on the socio-economic impacts of the lockdown (on retail trade, employment, tourism, local governments' revenues, etc). Second, we collected the data related to the socio-economic effects of the pandemic and revealed the territorial impacts of the crisis. Finally, we evaluated the government's measures and interventions introduced in the first wave of the pandemic in terms of their efficiency.Results. Our results demonstrate that while the epicentre of the pandemic was the capital city and its surrounding area, the socio-economic impacts of containment measures implemented by the Hungarian government were felt across the whole country. In some areas, the lockdown measures could have been unreasonably tight as no reasonable justification for these restrictions was provided. Therefore, territorial monitoring and development of regionally differentiated policies are the main tasks in preparation for further waves of the pandemic. In our opinion, it is necessary to devise an action plan that would regulate the protocols of prevention and protection in connection with the regional focal points (hospitals, nursing homes, schools, etc.) and their immediate surroundings.Conclusions. Although territorial aspects have been taken into account by the government in their efforts to contain the pandemic in Hungary, they have been given significantly less attention in terms of socio-economic support. Thus, as the article makes clear, it is important to devise and implement regionally differentiated policies of containment as well as socio-economic protection measures.

PurposeThis study has two aims. It aims to analyse three essential pre-conditions of an authentic sustainability curriculum (ASC). The theoretical analysis involves the definition of authenticity through the learning outcomes (LOs) framework called authentic minimum (AM). This paper also aims to gauge students' views on economic growth, sustainability and mindfulness.Design/methodology/approachThe theoretical aim was accomplished by extensive study of and critical reflections on the relevant literature. The empirical research was qualitative using an online questionnaire as survey instrument consisting of predominantly open-ended questions involving students of two economic faculties. Directed content analysis and nonparametric quantitative methods were used to assess the answers.FindingsViable sustainability goals are in stark contrast with the promotion of sustainable economic growth in sustainable development goals 8 and the reigning neoliberal agenda. The empirical findings provide valuable insights into how undergraduate students view mindfulness, economic growth and aspects of sustainability.Research limitations/implicationsThe empirical research has some obvious limitations that warrant caution in generalizing the results. The authors used a sample of convenience and the base population of the survey consisted only in students of economics in two economic faculties of two Hungarian universities.Practical implicationsPractical implications of the present paper are many all sharing; however, the need for existential courage on the part of teachers, students and leaders of higher education institutions. Existential courage is required for profound personal transformation, for going against mainstream ideology and the possible confrontations with colleagues, leaders of institutions, students, friends or family members.Originality/valueOn the theoretical side, the concept of ASC was introduced with AM as its LOs framework. For the first time, an attempt was made to interpret authenticity in sustainability education as an integration of mindfulness, human and environmental ethics and a firm opposition to economic growth and neoliberal ideals. The analysis of qualitative data supported earlier research and also provided unique findings in the examined areas.

Sports civic organizations are essential for Hungarian society, especially for young people's lives, constituting a crucial part of the corpus of civil society organizations. The performance and output of these were rarely examined; still, activity forms of an organization and their managerial practice may equally result in failure and success. By applying a survey questionnaire, this study provided an in-depth picture and an analysis of the six crucial dimensions of their functioning: Public Activity, Employment, Human Resources, Professional Activity, State Aid and Funding, and Social Influence. Apart from the contribution that this study gave to recognize a particular type of civil society organizations, i.e., the sports one, its significance lay mainly in the connection of the crucial attributes/dimensions of organization and functioning.

Objectives Medical devices are potentially good candidates for coverage with evidence development (CED) schemes, as clinical data at market entry are often sparse and (cost-)effectiveness depends on real-world use. The objective of this research was to explore the diffusion of CED schemes for devices in Europe, and the factors that favour or hamper their utilization. Methods We conducted structured interviews with 25 decision-makers from 22 European countries to explore the characteristics of existing CED programmes for devices, and how decision makers perceived 13 pre-identified challenges associated with initiating and operating CED schemes for devices. We also collected data on individual schemes that were either initiated or still ongoing in the last 5 years. Results We identified seven countries with CED programmes for devices and 78 ongoing schemes. The characteristics of CED programmes varied across countries, including eligibility criteria, roles and responsibilities of stakeholders, funding arrangements, and type of decisions being contemplated at the outset of each scheme. We observed a high variability in how decision makers perceived CED-related challenges possibly reflecting country-specific arrangements and different experiences with CED. One general finding across all countries was that relatively little attention was paid to the evaluation of schemes, both during and at their completion. Conclusions CED programmes for devices with different characteristics exist in Europe. Decision-makers' perceptions differ on the challenges associated with these schemes. More exchange of knowledge and experience will help decision makers anticipate the likely challenges in CED schemes for devices, and to learn from good practices existing elsewhere.

Text of At the end of year 2021 an article (Kotaku.com, 2021) was published about the selection the latest version of Zelda to be the ever best video game in the world, operating on Nintendo Switch consoles. The entry of this software resulted in the increasing sales of the Nintendo Switch, which is the lasts generation of the Nintendo gaming consoles. This console is far from representing the top of the console generations, still it bears such impressive social and economic statistics on the console market, which have convinced even the sceptics that different versions of this console together with their games have a safe place between the high performance machines, despite its obvious disadvantages. The objective of this essay is to reveal that how console games consider this console with their games, what advantages and disadvantages gamers sense and what the explanation is for the popularity of the console versions and their games.