Judit Petra Koltai
53876083600
Publications - 20
Analysis of financial performance of deposit banks in Turkey using multi-criteria decision-making methods
Publication Name: Journal of International Studies
Publication Date: 2025-01-01
Volume: 18
Issue: 1
Page Range: 196-215
Description:
Financial performance analysis in the banking sector aims to determine the capacity for data-driven decision making. This study evaluates the financial performance of public and private deposit banks in Türkiye. In the study, we used the entropy method to determine performance weights. Then, we used the VIKOR technique, which integrates the entropy method with multi-criteria decision making. This integrated approach evaluates banks according to key dimensions such as profitability, liquidity, asset quality, and capital adequacy. We conducted the study on a sample of three public and eight private deposit banks operating in Türkiye. The data covers financial ratios starting from 2022. The findings show that two public banks have high financial performance, while publicly owned deposit banks have stronger financial performance than their privately owned counterparts. The findings provide valuable insights into the Turkish banking sector's financial stability and competitive positioning. The results of the study can guide bank managers and regulatory authorities.
Open Access: Yes
Sorting for Sustainability: Harnessing Female Awareness of Zero Waste
Publication Name: Journal of Sustainability Research
Publication Date: 2024-12-01
Volume: 6
Issue: 4
Page Range: Unknown
Description:
Background: Sustainable Development Goal 12 focuses on sustainable consumption and production patterns. Females are more likely to adopt these sustainable consumption practices due to their environmental attitudes. The scope of the present research is to develop a Hungarian model that can provide a theoretical explanation for the formation, viability and empowerment of zero waste awareness among females as they are sensitive to the issue and may have sufficient knowledge about it. Methods: An online questionnaire was distributed in a university environment in Hungary, resulting in 160 responses after data cleaning. The model was constructed using Partial Least Squares Structural Equation Modelling (PLS-SEM). Results: The results show that for females, the factors waste sorting and zero waste practicality account for 72.4% of the variance in zero waste awareness. The Beta values indicate that both effects are positive with the effect of the first (βZWS-ZWA = 0.523) being stronger than the second (βZWP-ZWA = 0.389). In addition, it can be concluded that women’s attitudes toward waste sorting have a strong positive impact (R2 = 0.542, βZWS-ZWP = 0.736) on zero waste practicality. Conclusions: The zero waste attitudes of female university students’ behavior are significantly related to the selective collection of waste and the practical use of old products. In addition, waste separation is a practical approach to environmental responsibility, as there is no need to dispose of all end-of-life products if they can be recycled. The model could help the government understand the factors and the mindset from a female perspective in order to partially support the decision-making process related to sustainability.
Open Access: Yes
Consumer impulse buying in Hungary: A CB-SEM analysis of Hungarian consumer behaviour towards mobile short video applications based on a Chinese reference model
Publication Name: Computers in Human Behavior Reports
Publication Date: 2024-12-01
Volume: 16
Issue: Unknown
Page Range: Unknown
Description:
Mobile Short Video Applications are becoming increasingly popular worldwide. The appropriate content can shape, improve or change consumers' purchasing decisions. This paper examines the attitudinal differences in impulse buying related to the use and acceptance of MSAs by adapting a model already validated in China to Hungarian users. The analysis was conducted using Covariance-Based Structural Equation Modelling (CB-SEM). A structured questionnaire survey of 283 respondents in Hungary shows that the Chinese model cannot fully be applied to Hungary. A major difference between the results of the two models is that in the Hungarian model, perceived expertise shows a positive relationship with flow experience. This indicates that video makers - in the case of Hungarian videos - should produce content including introductory information and the operation of the product. The results suggest that in the case of MSA use in Hungary, perceived expertise affects impulse buying indirectly, but flow experience directly. Flow experience is only influenced by perceived expertise (β = 0.31, ρ < 0.05), with an explained variance of 10%. Flow experience (β = 0.46, ρ < 0.05) with its direct effect on impulse buying behaviour accounts for 21% of the variance. Hungarian and Chinese MSA users have different preferences in terms of content, thus the results provide important information for both international short video creators and companies entering the international market.
Open Access: Yes
Exploratory analysis of zero waste theory to examine consumer perceptions of sustainability: A covariance-based structural equation modeling (CB-SEM)
Publication Name: Cleaner Waste Systems
Publication Date: 2024-08-01
Volume: 8
Issue: Unknown
Page Range: Unknown
Description:
Introduction: The analysis of corporate and consumer sustainability practices is currently the focus of several scientific disciplines due to their environmental impact and diversity. Objective: This research aims to create a hierarchy of consumer perceptions of zero waste thinking that can guide government decisions regarding university communities' sustainability efforts. To achieve the objectives of this study, Hungarian university citizens (students, faculty, staff) as potential zero waste consumers in Győr were involved in a purposive sampling approach. Methods: This study adopted the Covariance-Based Structural Equation Modeling (CB-SEM) methodology to prove the hypotheses related to the 7Rs regarding Zero Waste perceptions of university citizens. The rethink element of the hierarchy was defined as the default condition for the 7 R application and therefore remained at the top of the hierarchy as an endogenous variable. Results: The study concluded that it is possible to adapt a business 7 R framework for consumer use, but only 5Rs can be applied. The analysis was conducted at a 90% confidence level, under which condition the independent variables together explain 87% of the variance of the rethink factor. The results show that the four constructs, namely rot (β =0.12, ρ<0.1), reduce (β =0.21, ρ<0.1), recycle (β =0.26, ρ<0.05), and reuse (β =0.43, ρ<0.05) significantly affect rethinking. Based on these regression weights, a hierarchy of importance can be established. In line with the original 7 R business concept, rethink is at the top of the hierarchy, followed by the other elements. Conclusions: The results suggest that the zero waste attitudes of university citizens are currently limited to the 5Rs, which should require government leadership to strengthen these factors or a more consistent presence and support for the 2Rs that are missing from the established model. Governments can use the results of this research in their sustainability-related decisions.
Open Access: Yes
Sentinels of Sustainability: Practices of Agricultural Farms Clustered in Hungary’s Farmers’ Markets
Publication Name: Chemical Engineering Transactions
Publication Date: 2024-01-01
Volume: 114
Issue: Unknown
Page Range: 973-978
Description:
The analysis of local farmers' markets (FMs) is an important part of sustainability issues, as the products they offer can guarantee both the proper functioning of local farms and healthy nutrition for inhabitants. The aim of this research is to identify the most important characteristics of FMs small-scale businesses related to agricultural activities based on a convenience sample in Hungary. The database obtained by the questionnaire survey was compiled based on the answers of a total of 220 farm owners/managers. The results were subjected to analysis using a K-means clustering method, which identified four distinct groups of farms with the highest weighting of turnover from agricultural activity. The clustering distinguished beekeeping, arable crop production, animal husbandry, and vegetable and fruit production, which were treated as a separate cluster. The observed differences between the groups indicate that farms primarily engaged in beekeeping and livestock farming have the highest turnover. These findings may be manifested by the group’s member farms in terms of higher professional representation and high-quality products. A noteworthy distribution-related finding is that livestock products exhibit the greatest average distance from the point of origin to the FM, which can be attributed to the sparse geographical location of the production sites. The results could have a considerable consequence for policymakers in informing them about the design of support opportunities and the identification of beneficiary groups.
Open Access: Yes
DOI: 10.3303/CET24114163
Health labor force exodus: A systematic review of drivers influencing nurses’ migration intentions from source countries
Publication Name: Journal of Infrastructure Policy and Development
Publication Date: 2024-01-01
Volume: 8
Issue: 11
Page Range: Unknown
Description:
The global shortage of nurses has resulted in the demand for their services across different jurisdictions causing migration from developing to developed regions. This study aimed to review the literature on drivers of nurses’ migration intentions from source countries and offer future research directions. A search strategy was applied to ScienceDirect, Web of Science, and Scopus academic databases to find literature. The search was limited to peer-reviewed, empirical studies published in English from 2013–2023 resulting in 841 papers. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to conduct a systematic review of 35 studies after thorough inclusion and exclusion criteria. In addition, the VOSviewer software was utilized to map network visualization of keywords, geographic and author cooperation for bibliometric understanding. The findings revealed various socio-economic, organizational, and national factors driving nurses’ migration intentions. However, limited studies have been conducted on family income, organizational culture, leadership style, infrastructure development, social benefits, emergency service delivery, specialized training, and bilateral agreements as potential drivers for informing nurses’ migration intentions. Moreover, a few studies were examined from a theoretical perspective, mainly the push and pull theory of migration. This paper contributes to the health human resources literature and shows the need for future studies to consider the gaps identified in the management and policy direction of nurse labor migration.
Open Access: Yes
Consumer Perception of the Zero-Waste Concept: a Hungarian Case Study
Publication Name: Chemical Engineering Transactions
Publication Date: 2023-01-01
Volume: 107
Issue: Unknown
Page Range: 355-360
Description:
Sustainability is a concept that many people are familiar with, but it also seems elusive and difficult to generalize. Part of this concept is the Zero Waste mindset, which exists in equally diverse forms in people's minds. The research uses the 7R approach of the Zero Waste framework, adapted to consumers, to analyze which consumer groups can be distinguished from each other in terms of Zero Waste thinking. The methodology is based on a questionnaire analysis with the use of an HSD test. The results show that rethinking is the most widespread within the 7R concept, as the effects of most moderating variables (generation, gender, information gathering, product purchase, knowledge of the 7R concept, perceived income) can be measured in its case. In addition, 3 groups (Perfectionists, Adopters, and Rejecters) were created based on the consumers’ mindset of Zero Waste and named according to the means of the variables associated with the 7Rs. The present research is a Hungarian case study, which illustrates the existence of Zero Waste awareness and activities and should be extended to other nations as well.
Open Access: Yes
DOI: 10.3303/CET23107060
Environmental Assessment of Farm Sustainability – A Hungarian Case Study
Publication Name: Chemical Engineering Transactions
Publication Date: 2023-01-01
Volume: 107
Issue: Unknown
Page Range: 409-414
Description:
Agricultural production is inseparable from environmental sustainability, and several methods have been developed by numerous authors and organizations worldwide to measure and evaluate it. The aim of the study is to comprehensively and accurately assess the environmental sustainability of farms. Concerning the theoretical framework, a set of 8 indicators and 23 sub-indicators was established to estimate the different aspects of environmental sustainability. The practical compliance of the indicators was assessed based on data from Hungarian agricultural enterprises; an agricultural company and three individual farmers were included in the case studies. By grouping the indicators, a new composite environmental indicator was developed to measure environmental sustainability. The results of the study show that the surveyed farms are moderately sustainable, as their composite indicators were at or close to the minimum of 0.5 points, but none of them were outstanding or at least 0.75 points. More significant efforts should be made to improve the farms’ environmental sustainability in the future.
Open Access: Yes
DOI: 10.3303/CET23107069
The Sustainable Contribution of Artificial Intelligence to Higher Education - Results of a Pilot Study
Publication Name: Chemical Engineering Transactions
Publication Date: 2023-01-01
Volume: 107
Issue: Unknown
Page Range: 487-492
Description:
The past year has seen revolutionary breakthroughs in the development of artificial intelligence-based (AI) products that can impact almost every aspect of life. The change raises the question of the sustainability of education and how technology will transform the way we currently teach. This study aims to develop a model and its hypothetical adaptation that can be used to analyse the adoption and use of artificial intelligence in university settings. The importance of AI in education can be captured in its ability to personalise learning pathways, improve teaching methods and automate related administrative tasks. AI technologies are able to adapt to the needs of individual learners, providing personalised instruction and improving learning outcomes. AI can also help educators by automating routine tasks, allowing them to focus on individualised instruction and create a more engaging and effective learning environment. Based on the accepted results of exploratory factor analysis as the applied method of this paper, the research concludes that the model adaptation is feasible, but it is worth considering changing the variable reflecting implementation to one that is accepted by educators as the concrete institutional implementation of AI is still a very distant scenario in higher education. Future research should incorporate these findings into the design of possible structural models, as this area of AI research has the potential to bring significant social science and educational benefits.
Open Access: Yes
DOI: 10.3303/CET23107082
The generational division of online entertainment: The pleasure factors and manipulative effects of video streaming platforms
Publication Name: Statisztikai Szemle
Publication Date: 2023-01-01
Volume: 101
Issue: 8
Page Range: 715-738
Description:
Rise of video streaming services has not only increased the popularity of available platforms, but has also changed the content consumption habits of households, pushing aside the opportunities provided by traditional television. Among subscribers and users representing generations tied to digitalization highly diversified views can exist regarding the selection of video-sharing platforms and their impact on users' traditional lifestyles. A structural equation model (CB–SEM) was applied to test our theory related to different generations' relationship to digitalization. Based on the results, the generational classification of users only affects the significance of the platform selection criteria, while the manipulative effect of the service is independent of this. The analysis reveals the importance of further research in this area, as the factors that are important for enjoyment may differ among generations.
Open Access: Yes
EMPLOYEE ATTITUDE TO ORGANISATIONAL CHANGE IN SMALL AND MEDIUM-SIZED ENTERPRISES
Publication Name: E A M Ekonomie A Management
Publication Date: 2023-01-01
Volume: 26
Issue: 1
Page Range: 94-110
Description:
The crisis caused by the coronavirus pandemic affects the daily operation of organisations, which also brings changes in the life of their workforce. Managing organisational change has been a significant challenge for organisations for several decades. The aim of the research is to assess the behaviour of affected employees toward organisational change. It is examined how different groups of employee’s experience change in general and what they think about organisational change. Furthermore, it is explored whether employees understand the motivation behind the change and how does the change impact their organisation. To answer the research questions, a comprehensive questionnaire survey of small and medium-sized enterprises in Hungary was conducted in autumn 2021. The suitability of the application of factor analysis evaluating the dependence of selected areas of the questionnaire was supported by Barlett test a Cronbach’s alfa coefficient. For individual hypotheses two-sample t-test, contingency table analysis, and Pearson’s Chi-squared test, were applied. The evaluation of the 215 questionnaires shows that the behaviour of employees toward organisational changes is different. The difference in attitudes to the benefit of organizational change for employees were identified, but not for enterprise. Furthermore, the difference in attitudes between employees who have undergone organizational change in the enterprise and those who have not undergone organizational change, were identified too. It is interesting that contingency between the extent to which managers play a role in change and the well-executed nature of change were detected. The practical usage of the research can be helpful for SME management, especially in the HR field. The management can consider that employees may be afraid of the changes if they are ahead of them, but if the change is handled well, people will think positively of it.
Open Access: Yes
Investigation of weed vegetation on wet segetal fields in South-Western Hungary
Publication Name: Journal of Plant Diseases and Proctectio Supplement
Publication Date: 2006-12-01
Volume: Unknown
Issue: 20
Page Range: 567-576
Description:
Inland water on soils with bad water balance can lead to serious yield losses. Soil management and plant protection is nearly impossible in these marshy vernal pools, wherefore very special vegetation develops. On the basis of 58 phytocoenological surveys made in South-Western Hungary the vegetation of the vernal pools will be characterised. From phytosociological point of view our surveys stand to Ranunculo sardoi-Alopecuretum geniculati and Myosuro-Ranunculetum sardoi associations the nearest, where the proportion of Nanocyperion elements is significant. The following endangered species occure in these vernal pools: Elatine alsinastrum, Limosella aquatica, Lindernia procumbens, Montia fontana, Peplis portula. However vernal pools in segetal fields are causing losses from economical aspects, they can contribute to increase agrobiodiversity and have an important role in maintaining numerous threatened and protected plant species (Red Data List, IUCN, Corine Biotopes Project, Bern Convention). © Eugen Ulmer KG.
Open Access: Yes
DOI: DOI not available
Does Green Energy and Technological Innovations Induce Agriculture and Land Sustainability: Contextual Evidence From Climate Resilient Practices
Publication Name: Land Degradation and Development
Publication Date: 2026-01-30
Volume: 37
Issue: 2
Page Range: 790-805
Description:
With the growing environmental concerns, the existing literature mostly highlights the industrial pollution while neglecting the factors associated with the agriculture-related greenhouse gas emissions. Regarding this, the study explores the impacts of green energy, tech development, and urbanization on agriculture's greenhouse gas emissions. The prime objective of the current research is to unveil the green energy, tech innovations, and environmental sustainability nexus to draw novel implications in the context of Sustainable Development Goals (SDGs). In doing so, the authors employ the quarterly data of China from 1990Q1 to 2020Q4. For the long-run empirical analysis, the authors utilize various time-series estimating approaches, such as Quantile regression, which performs better in testing the nexus at different quantiles. However, the Fully Modified OLS, Dynamic OLS, and Canonical Cointegration Regression methods are used as robustness tools to authenticate the estimate of the primary approach. The results suggest that greener energy and technological innovations significantly reduce agriculture sector emissions. Furthermore, the presence of green energy transforms its negative influence into a positive one. Contrastingly, the use of traditional fossil fuel energy, urbanization, and financial development are significant drivers of emissions. This study's findings support SDGs, particularly SDG-2, which supports the stance of sustainable agriculture and encourages green energy use. Overall, the study discourses policy-related suggestions in the sustainability's context.
Open Access: Yes
DOI: 10.1002/ldr.70219
From scroll to sale: Predicting of customer engagement in impulse buying cycle on TikTok through the S-O-R model
Publication Name: Acta Psychologica
Publication Date: 2026-02-01
Volume: 262
Issue: Unknown
Page Range: Unknown
Description:
The popularity of TikTok is evident on a global scale, leading to its adoption by numerous companies as a promotional platform. The Stimulus - Organization - Reaction model has been validated in its capacity to describe the purchase process. The present study investigates the Hungarian manifestations of the factors of this model to develop a forecasting method that will allow for prediction of the success of TikTok impulse purchase marketing strategies. The prediction method under analysis is based on factor and regression analyses and validation. The exploratory part utilizes a questionnaire survey of 283 Hungarian university students. The validity of the results is measured on a different university sample of 104 active users of TikTok and users of alternative social media platforms. The findings indicate that the factors comprising the impulse purchase cycle involvement include the urge to buy impulsively, utilitarian value, perceived similarity, and co-promotion. The validation process revealed that the rates of agreement with the predictions among TikTok users exceeded 90 %, while the rate among users of other social media platforms reached over 80 %. The principal strength of this study lies in its quantification and transformation of questionnaire data into a pivotal key performance indicator suitable for companies.
Open Access: Yes
Exploring the Interrelationships Among Supply Chain Emissions, Financial Performance, Market Value, and Board Sustainability: An Exploration of the European Landscape
Publication Name: Corporate Social Responsibility and Environmental Management
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
National and supranational institutions are establishing emission trading systems and control schemes in an attempt to manage stakeholders' willingness to engage with regulatory systems and reduce greenhouse gas emissions (GHG). Nonetheless, despite the national and supranational focus on carbon neutrality, little research has been centered around the interrelationships impacting organizations' scope 2 and 3 GHG emissions. Specifically, scholars underscore the need to test the link between scope 2 and 3 emissions and organizations' financial performance, market value, and governance bodies. Henceforth, this article seeks to examine the interrelationships between organizations' financial performance, market value, board sustainability, and their scope 2 and 3 GHG emissions. This manuscript is informed by a multidimensional socio-economic-based theoretical framework. This research uses a panel dataset composed of 437 publicly listed companies whose headquarters are located in Europe. The sample focuses on European companies given its agenda to become carbon neutral by 2050. The obtained findings suggest a positive association between organizations' supply chain emissions and their market value. Moreover, it is possible to observe a positive association between organizations' supply chain GHG and their financial performance. Finally, the authors observe a positive association between organizations' board sustainability and their supply chain GHG emissions and market value. The foregoing findings are robust and do not present concerning issues related to endogeneity and sample selection bias. This manuscript carries both theoretical and managerial implications. First, it underscores the legitimization route that firms may undertake through climate change initiatives to enhance their market value. Second, the results might suggest the symbolic impact European emission trading systems and control schemes might have on stakeholders and firms. Third, the obtained results underscore the importance of the link between governance and environmental sustainability by extending this link between scope 2 and 3 emissions and sustainability board committees. Moreover, this manuscript underscores the importance of stakeholders' interest in environmental sustainability proxies such as GHG emissions. Finally, the manuscript underscores the complexity that remains in managing entities' supply chain GHG emissions.
Open Access: Yes
DOI: 10.1002/csr.70398
Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives
Publication Name: Business Strategy and the Environment
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to the ethical and environmental consequences associated with their widespread application. An investigation of the operational sustainability associated with the generative artificial intelligence systems would be crucial, as it would provide information about how these systems match ideals such as efficiency, circularity and environmental responsibility. We explore how users understand and engage with sustainability principles, specifically lean, circular and green operational frameworks within generative artificial intelligence environments. We collect user reviews of 72 recently launched generative AI platforms from 2022 to 2024 and utilise advanced machine learning methods, including Word2Vec modelling, sentiment and regression analysis, to reveal how text datasets reflect customer perceptions. We find that the lean theme is the most prominent feature of operational sustainability, with the highest sentiment score, followed by the green and circular themes. Our findings show that there is a growing respect among the general public for artificial intelligence systems that exhibit responsible and efficient design.
Open Access: Yes
DOI: 10.1002/bse.70515
Estimating agricultural sustainability: a multidimensional approach to a farm-level assessment tool
Publication Name: Frontiers in Environmental Science
Publication Date: 2026-01-01
Volume: 13
Issue: Unknown
Page Range: Unknown
Description:
Introduction: In response to the growing demand for practical and robust sustainability assessment tools, this study introduces a new method for evaluating agricultural sustainability at the farm level. The tool relies on indicators covering environmental, economic, and mixed dimensions of sustainability. The mixed dimension integrates environmental, economic, and social indicators. Methods: Indicators were selected based on the literature and empirical data from Hungarian farms. From 61 initial indicators, three groups were formed through factor analysis and clustering. Results: The analysis revealed that environmental and economic factors contribute almost equally to sustainability scores, whereas the mixed dimension has a comparatively smaller impact. This suggests that immediate sustainability improvements might need to prioritize environmental and economic factors. The assessment tool allows the calculation of a complex agricultural sustainability index, which has been validated through case studies on Hungarian farms. Discussion: This study is presented as a methodological pilot project to develop and test a farm-level sustainability assessment tool for agricultural enterprises. The results highlight the practical applicability of the tool for farmers and policymakers, as it offers a transparent, easy-to-use method for identifying sustainability strengths and weaknesses at the enterprise level. Limitations include a small, region-specific sample, which may restrict broader applicability. Additionally, there are challenges in integrating multidimensional indicators. Future research should focus on expanding the dataset, refining indicator weighting, and testing the tool’s applicability in a broader agricultural context. This enhances the robustness and guides stakeholders in sustainable agricultural development.
Open Access: Yes
Does Geopolitical Risk Induce Comparative Advantage in Low-Carbon Energy Trade? Insights on Climate Policy and Innovation Business Strategies
Publication Name: Business Strategy and the Environment
Publication Date: 2026-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
Given the significant surge in greenhouse gas emissions over the past several decades, the demand for low-carbon energy products has increased globally. However, geopolitical risks and tensions have also been escalating, which can reshape the trade of low-carbon energy products. Despite growing work on geopolitical risk and energy transition, no study has yet examined how geopolitical tensions reshape countries' revealed comparative advantage in low-carbon energy trade. This study therefore aims to fill this research gap by providing an understanding of how geopolitical risk affects comparative advantage in low-carbon energy trade across 27 countries worldwide. Taking the data period from 2000 to 2021, the study implements several panel regression models to account for endogeneity as well as cross-country heterogeneity. The results reveal that geopolitical risk undermines a country's comparative advantage in international trade of low-carbon energy products, regardless of the model specification. Domestically adopted low-carbon energy innovation suggests a positive outcome for enhancing comparative advantage in this category, while low-carbon energy policy has no significant impact. These results imply that governments and firms aiming to build durable comparative advantage in low-carbon energy trade should complement innovation-support policies with strategies that reduce exposure to geopolitical disruptions in green value chains.
Open Access: Yes
DOI: 10.1002/bse.70587
Streaming without borders: How content diversity and flexibility shape perceived exclusivity in cross-border video consumption
Publication Name: Telematics and Informatics Reports
Publication Date: 2026-03-01
Volume: 21
Issue: Unknown
Page Range: Unknown
Description:
The increasing social and economic impact of digitalization is changing customers' expectations of streaming platforms. The research examines the factors shaping Perceived exclusivity in video streaming consumption among Hungarian-speaking residents of Slovakia, a cross-border minority audience operating under linguistic and geographic constraints. Drawing on Self-Determination Theory and consumer value perspectives, the model integrates Content diversity and platform Flexibility to explain why users continue subscribing beyond initial adoption. Using survey data from 370 respondents and Covariance-Based Structural Equation Modelling, the results show that Content diversity and Flexibility jointly explain 58% of the variance in Perceived exclusivity, with Flexibility mediating the effect of Content diversity. The study contributes theoretically by demonstrating that Perceived exclusivity is not generated solely by access to content, but by the ability to convert available content into usable, personally meaningful viewing experiences under constrained cross-border conditions. By focusing on a national minority context, the study provides a theoretically relevant boundary condition, highlighting how identity, language fit, and access constraints reshape value formation processes in digital media consumption beyond country-specific or platform-level explanations.
Open Access: Yes
Linking digital platform design to circular supply chains: Evidence from knowledge sharing and collaboration mechanisms
Publication Name: Technology in Society
Publication Date: 2026-06-01
Volume: 86
Issue: Unknown
Page Range: Unknown
Description:
Digital platforms are increasingly central to circular economy transitions, yet it remains unclear how platform design translates into measurable circular outcomes. This study addresses this gap by developing a socio-technical framework that explains how digital platform information transparency and interoperability enable circular value creation. Drawing on socio-technical systems theory, platform governance, and the dynamic capabilities perspective, the study conceptualizes platform design features as layered affordances that operate through governance and knowledge-based mechanisms. Using survey data from platform-enabled supply chain actors and analysing the model via PLS-SEM, the findings reveal that transparency and interoperability significantly enhance sustainability governance mechanisms, while transparency strengthens knowledge sharing intensity and interoperability supports collaborative decision-making. Sustainability governance mechanisms, in turn, drive both circular business model implementation and circular supply chain performance, whereas knowledge sharing intensity primarily supports business model transformation. Notably, collaborative decision-making does not directly improve circular supply chain performance, suggesting that collaboration without governance alignment remains insufficient. By unpacking the indirect pathways through which platform design shapes circular outcomes, the study advances platform governance and circular supply chain literature. It offers actionable insights for managers and policymakers seeking to design digital ecosystems that move beyond symbolic digitalization toward measurable circular performance and systemic value creation.
Open Access: Yes
