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The performance of the employees and productivity of each individual, in general, have been badly affected because of the COVID-19 pandemic. Organizational citizenship behavior is regarded as an interpretation of the performance of the employee which is essential to contribute more to the organization’s processes and success. Therefore, to increase the organizational effectiveness and achieve its goals, it is crucial to understand the factors affecting the organizational citizenship behavior of the employees. This study aims to examine the impact of perceived organizational support on organizational citizenship behavior with the mediating role of employee engagement and affective commitment. To collect the data for this study, a linear snowball sampling method was used, and 380 foreign employees working in different service companies in Hungary participated in the survey. Structural equation modeling (SEM) was used to test the proposed hypothesis. The results of the study revealed that perceived organizational support positively associated with organizational citizenship behavior and this relationship is also strongly mediated by employee engagement. On the other hand, employee engagement and affective commitment pose a direct positive influence on organizational citizenship behavior. This study has theoretical and practical implications as it will provide a comprehensive framework to better understand the factors influencing the organizational citizenship behavior of the employees.

In this modern age of digitalization, consumers have access to an ample amount of information regarding a product’s quality and benefits, which makes consumers more conscious of their consumption patterns and their impact on social and environmental development. Likewise, marketing strategies have also taken a dramatic leap forward and started focusing on social responsibility, ethics, and environmental protection. The notion of environmental sustainability has created a market niche over several decades and has captured the market of pro-environmental consumers. However, there are still many latent factors that are obstacles to shifting the behavior of consumers towards buying green products. The present study was conducted to recognize factors that affect the consumers’ behavior when purchasing eco-friendly products. They were collected from 1185 university students in Hungary. To analyze the data, multiple regression and exploratory factor analysis (EFA) were used. The results showed that willingness to pay (WTP) and green purchase intention (GPI) are the chief factors that affect the green purchase behavior (GPB) of these students. Environmental knowledge (EK) also has an important and positive impact on the green purchase behavior (GPB) of consumers, although regarding demographic variables, no such influence was noted. To conclude, the study showed that there was no bias in terms of age, gender, or qualification in the behavior of young students, as they have sufficient knowledge of environmental problems and are very willing to pay for environmentally friendly products. This study will create self-awareness among young consumers about their environmentally friendly purchasing behavior. This research will further benefit policymakers and marketers of the EU and Hungary to enhance their marketing strategies to promote their green products and their benefits. Future research can be developed on this theoretical framework and will help academicians to further reduce the research gap by using different constructs and methodologies.

This paper aims to analyze the scientific production of the blue economy and coastal tourism research fields to identify research topics and publication patterns. Accordingly, bibliometric analysis was selected as a quantitative meta-analysis literature review method. Scopus was the main database for extracting the scientific production in blue economy and coastal tourism. Various bibliometrics analysis techniques were used to analyze 476 and 49 publications in blue economy and coastal tourism, respectively. The main results are summarized as follows: (i) the number of publications in the blue economy scientific sector has increased significantly, and (ii) contrarily, a relatively small body of blue economy literature is concerned with the coastal tourism sector despite its significant role in the blue economy.

The present research aims to identify the main peculiar economics of professional team sports, reflect on whether they apply to esports, and derive some implications. To achieve this aim, two sequential snowballing literature reviews were conducted. First, the literature on the peculiar economics of professional team sports was reviewed and assessed by the authors, based on their degree of distinctiveness and how core they are for the sector. Second, based on the main peculiar economics identified, a similar process considering economic aspects in the esports literature was conducted. The first review enabled the identification of 50 peculiar economics of professional team sports, of which 12 were assessed as the most distinctive and core to the sector. These 12 main peculiar economics were then considered in relation to the esports literature. This second review enabled the identification of some economic similarities and differences between sports and esports, before deriving some implications.

Climate change is considered the greatest threat to human life in the 21st century, bringing economic, social and environmental consequences to the entire world. Environmental scientists also expect disastrous climate changes in the future and emphasize actions for climate change mitigation. The objective of this study was to explore the influence of climate mitigation finance on climate change in the region most vulnerable to climate shock, i.e., South Asia, in the period from 2000 to 2019. The panel autoregressive distributed lag model was used to estimate the influence of climate mitigation finance on climate change. The findings of this study demonstrate that, in the long-run, climate mitigation finance has a significant role in mitigating climate change, while in the short-run, climate mitigation finance has an insignificant effect on climate change. The result also shows that, in the long-run, climate change has a negative causal relation with GDP and globalization, but it has a positive causal relationship with energy consumption. The short-term effects of all independent variables are insignificant. Finally, based on the outcome of this study, several policy measures are recommended in order to mitigate climate change.

Capital is needed to accelerate the development process, but developing nations struggle with minimum resources. Since foreign direct investment (FDI) is essential to solve the funding shortage, developing nations make every effort to attract FDI to their countries. This study was conducted to explore the impact of institutional quality on sectoral FDI in Pakistan using time series data for the period from 1986 to 2019. To create a solid foundation for policy formulation, this study developed a single measure of institutional quality by utilizing a wide range of institutional indicators. It evaluates the impact of overall institution quality on sector-level FDI and examines the causal relationship between institutions and sectoral FDI with a clear focus on a single-country analysis. The dynamic simulated autoregressive distributed lag technique was employed to explore the impact of institutional quality and other factors on FDI. The results of the study explained that institutional quality and TO have a positive and significant effect on the FDI of the primary FDI sector at 5%, while in the case of the secondary sector, the effect of institutional quality, HDI and GDP on FDI inflow is significant at 10% and TO has a significant effect on secondary sector FDI at 5%. In addition, institutional quality and GDP have a positive relationship with tertiary sector FDI at 5%. The empirical findings show that higher institutional quality in emerging economies such as Pakistan encourages large transfers of technological advances through FDI, increasing the overall performance of the economy. This study found that institutional quality significantly increases sectoral FDI in Pakistan. Finally, this study prescribes some policy measures to increase FDI based on the findings.

The pressure on governments has been increased to improve their environmental performance across the globe. To ensure sustainability, every country is now responsible for educating its citizens on its environmental policies for decreasing pollution and managing natural resources. Therefore, it is crucial to manage all elements that have a negative impact on a country’s environmental performance in order to ensure sustainability. This study’s main goal was to investigate how factors such as forest wood product exports, energy use, urbanization, and gross domestic product (GDP) per capita in Asia affect environmental performance. In order to investigate the empirical links, this study analyzed annual data for 31 Asian countries from 2001 to 2020. Various econometric methodologies were used, including the generalized method of movement (GMM) approach and the Hausman test for fixed and random effects. According to the results of these econometric methodologies, forest wood product exports, urbanization, energy consumption, and GDP are all significantly contributing to Asia’s increasing CO2 emissions and deteriorating environmental performance. Based on the findings of this article, the selected Asian countries should curtail forest products in their trade basket in order to enhance environmental performance in the region. Furthermore, the alternative use of forest products and their exports could be increased to meet requirements.

This study reviews the significance of archaeological parks in the tourism sector, with a specific focus on how digital presence and visitor feedback impact their cultural and touristic appeal. Utilizing statistical analyses such as regression and cluster analysis on data sourced from both Hungarian and Western European parks from the Roman Period, the research scrutinizes TripAdvisor and Google ratings, alongside the volume of photographs and reviews. The findings highlight a modest correlation between digital visibility and overall visitor ratings, underscoring the complex relationship between online engagement and the quality of visitor experience. Notably, the cluster analysis identified two distinct groups, signifying diverse levels of visitor engagement and digital visibility across the parks. The conclusions drawn advocate for a comprehensive strategy to enhance visitor experiences, emphasizing the integration of digital engagement with the promotion of the parks cultural and historical values. By exploring the influence of digital presence on the appeal of archaeological parks, our study sheds light on the evolving interface between urban studies and digital heritage, highlighting how digital tools and online platforms are becoming increasingly integral in shaping the perceptions and experiences of urban cultural sites.

The telecommunication sector is one of the most rapidly growing sectors in the world. The COVID-19 pandemic has created an increased dependence of customers on telecommunications to continue their work and studies. The increased usage of internet and telecom services during the COVID-19 pandemic has brought many risks and challenges for the telecom companies to meet the requirements of the consumers. In this regard, it is crucial to understand the factors affecting customer loyalty towards telecom companies during the COVID-19 pandemic. This study is conducted to evaluate the effect of service quality, perception towards promotional packages, and customer delight on customer loyalty towards telecom companies in Hungary. The study also examined the mediating role of customer delight and perception towards promotional packages between service quality and customer loyalty. Another aim of the study is to compare the behavior of Hungarian customers and foreign customers living in Hungary towards telecom companies in the course of the COVID-19 pandemic. The study used a linear snowball sampling method and a well-structured questionnaire to collect the data. In total, 589 completed responses were used for analysis out, of which 208 responses are from Hungarian customers and 381 are from foreigners. To analyze the collected data, regression analysis was applied by using AMOS 22 package. The results of our study revealed that service quality and perception towards promotional packages positively influence customer loyalty among both Hungarian and foreign customers. On the other hand, customer delight significantly influences customer loyalty only among foreign customers. The results also proved the mediating role of promotional packages and customer delight between service quality and customer delight. This study will provide significant practical implications for managers of telecom companies in Hungary.

There is a dearth of literature that provides a bibliometric analysis concerning the role of Artificial Intelligence (AI) in sustainable agriculture therefore this study attempts to fill this research gap and provides evidence from the studies conducted between 2000–2021 in this field of research. The study is a systematic bibliographic analysis of the 465 previous articles and reviews done between 2000–2021 in relation to the utilization of AI in sustainable methods of agriculture. The results of the study have been visualized and presented using the VOSviewer and Biblioshiny visualizer software. The results obtained post analysis indicate that, the amount of academic works published in the field of AI’s role in enabling sustainable agriculture increased significantly from 2018. Therefore, there is conclusive evidence that the growth trajectory shows a significant climb upwards. Geographically analysed, the country collaboration network highlights that most number of studies in the realm of this study originate from China, USA, India, Iran, France. The co-author network analysis results represent that there are multi-disciplinary collaborations and interactions between prominent authors from United States of America, China, United Kingdom and Germany. The final framework provided from this bibliometric study will help future researchers identify the key areas of interest in research of AI and sustainable agriculture and narrow down on the countries where prominent academic work is published to explore co-authorship opportunities.