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How Socioeconomic Status Differences Observable in Students' Delay of Gratification Evolved Over the Period of COVID-19-induced Online Education
Get PDFWe show the evolution of the delay of gratification (DG) in 950 students aged 10–14 during coronavirus-induced home-based online education, by analysing data from two waves of voluntary online surveys. Students in the highest SES category experienced an absolute increase in DG, whereas those in the lowest SES category suffered a decrease, resulting in a widening SES gap between the groups over a relatively short 30-day period
Strategic dynamics in hydrogen deployment : a game-theoretical review of competition, cooperation, and coopetition
Get PDFAs hydrogen products emerge as a promising energy alternative in multiple sectors, low carbon hydrogen supply chains require concerted efforts among a diverse array of stakeholders. Within an evolving energy transition landscape, stakeholders' competition and cooperation play a critical role in expediting the deployment of the hydrogen economy. In this review, different strategies referred to as Hydrogen Competition, Cooperation, and Coopetition (H2CCC) dynamics are analyzed from the lenses of game theory. The study employs hybrid literature review methodology, integrating both bibliometric and structured review approaches. The study reveals that competition and cooperation represent a contrasting but interconnected dynamics that drive the energy transition. Coopetition models are less common. Furthermore, it is observed that Integrated Energy Systems are mainly used in cooperative and coopetitive approaches while H2 technologies and Hydrogen Supply Chains are more explored in competitive approaches. Industrial and mobility sectors are present in H2CCC dynamics with technological players more present than institutional entities. Maps, definitions, gaps and perspectives are developed. These insights may be valuable for policymakers, industry stakeholders, modelers, and researchers. There remains a need for further empirical H2CCC case studies and applications of pure coopetitive games. © 2025 Elsevier B.V., All rights reserved
Who Produces Natural Wine (and Who Would Like To)?
Get PDFIn a world where wine markets are losing ground, the natural wine segment appears healthy and growing, gaining an increasing acceptance among consumers, the media and within wineries product lines. This dynamic category is broadly understood as wine crafted from organic or biodynamic grapes, made with minimal cellar intervention and no additives, with the rare exception of small sulfite doses. However, despite its growth and relevance for rural economies linked to viticulture, natural wine remains a largely debated product category, lacking universally agreed-upon standards or unified third-party certifications. This study tackles the crucial lack of definition clarity and disputes among producers regarding what constitutes natural wine and who genuinely meets the standards to be recognized as a natural winemaker by relying on wine producers' self-stated adscription to natural winemaking. We address producer profiles and motivations within this emerging agricultural niche. Using survey responses from 514 wine producers in six European countries, we first identify key socio-economic differences between natural wine producers and non-producers. Second, we analyze the key factors of producers’ behavior towards natural wine production by applying a logistic regression model. Finally, applying a Partial Least Square Structural Equation Model (PLS-SEM) based on the Theory of Planned Behavior (TPB), we examine the behavioral factors influencing non-producers' intention to adopt natural wine production. The findings indicate that the intention to produce natural wine is primarily associated with pre-existing attitude mediated by subjective norm and perceived behavioral control. Furthermore, our results highlight divergent opinions among producers and non-producers concerning the motivations for natural wine production. These comprehensive insights are vital for designing effective institutional rural policies and management measures to foster the sustainable growth and economic viability of this unique viticulture segment in rural areas. © 2025 The Authors
Apportionment methods in resource allocation
Get PDFThe efficient use of resources is of paramount importance in any organization, and this is especially true of the use of human resources. We are considering an organization with a fixed number of workers over a network of subunits. The relative efficiency of these units can be uncovered using Data Envelopment Analysis (DEA) methods. How do we overcome efficiency differences when resources are constrained? Motivated by concerns for quality assurance, we use a method that lexicographically minimizes the tasks per worker. We present a fast algorithm to calculate the optimal allocation. Connections to the apportionment literature — mostly focusing on the fair allocation of voting districts among geographical or administrative regions, — are discussed. The allocation can be validated using DEA: efficiency indicators are now levelled.
The method is illustrated using data from salary administrators at the Hungarian State Treasury’s 19 county-level subsidiaries. Knowing the number of standard administrative tasks for each subsidiary and each month, we allocate workers proportionally to the busiest months. After the reallocation, the relative efficiency of the worst-performing counties moves from about 60% to over 90%
Institutional ownership and bond pricing : evidence from China
Get PDFThis paper examines the impact of institutional ownership on the bond yield spreads of publicly traded Chinese firms. Our research results show the presence of a U-shaped, non-linear relationship between the shareholdings of institutional investors and bond yield spreads. Heterogeneity tests reveal differences in the impact of institutional ownership on yield spreads among different types of institutional investors and for firms in which members of the central government stabilization fund, commonly referred to as "national team" institutions, hold shares. Further tests indicate that corporate governance levels and firm performance serve as channels through which institutional shareholders affect bond yield spreads
Phygital dynamic capabilities : microfoundations and their reversed interplay
Get PDFThe convergence of physical and digital worlds—referred to as “phygital”—is reshaping how organizations develop and deploy strategic capabilities. While previous research has mainly focused on customer experience (CX), little is known about the organizational capabilities enabling firms to operate effectively in these phygital ecosystems. Adopting a dynamic capabilities (DCs) perspective, this study examines how firms sense opportunities, seize them, and reconfigure resources within phygital ecosystems. Building on Baskerville et al.'s (2020) notion of “ontological reversal”, we position phygital as a distinct form of DC extending beyond CX to impact operational, technological, and structural dimensions. Drawing on an exploratory case study of Webidoo Store, this study investigates how firms develop phygital dynamic capabilities (PDCs), the ability to identify opportunities across physical and digital layers, orchestrate hybrid resources, and transform operations by integrating digital intelligence with physical components into a cohesive, data-driven ecosystem. We identify the microfoundations (MFs) of PDCs across individuals, processes, and structure, uncovering mechanisms by which PDCs are created, expressed and transformed. Moving beyond a CX-centric view, this study provides a theoretical foundation for phygital capability development, and managerial insights on how organizations can strategically orchestrate and reconfigure hybrid resources to achieve competitive advantage in an evolving digital-physical landscape. © 2025 The Author
Gastronomy as a special interest tourism product in Budapest
Get PDFPurpose
The aim of this study is to examine the role of gastronomy as a form of special interest tourism in cities. This includes analysing the relative importance of gastronomy compared to other activities and identifying the gastronomic preferences of tourists.
Design/methodology/approach
The research is based on questionnaire data collected from 537 tourists in Budapest, Hungary, over a period of four weeks in 2022.
Findings
The findings reveal that gastronomy-related experiences are becoming even more interesting for
tourists than cultural attractions. They show a preference for traditional or typical foods from the city or country
that they are visiting but tend to prefer casual dining experiences and street food. Fast food is ranked as highly as fine dining. Satisfaction levels are generally high, but it is difficult to compare the quality of food-related
experiences with other cities without further research. Tourists show an above-average willingness to pay more
for food made from local ingredients, which they see as a unique experience.
Originality/value
The data provide new insights into the motivations, activities and preferences of urban tourists in relation to gastronomy. The research can help city agencies to promote traditional gastronomy further and to encourage consumption in restaurants that use local ingredients. Some attention needs to be paid to affordability, but the social implications could be very positive for food and drink producers and suppliers, as well as restaurateurs
Varieties of Corruption? A Typology of Country-Level Corruption Patterns Using Fuzzy-Set Ideal Type Analysis
Get PDFBroadly applied unidimensional corruption indices fail to grasp important qualitative differences between various manifestations of corruption, creating substantive obstacles in corruption research. Against this background, the present article develops a typology of country-level corruption patterns comprising four Weberian ideal types (ITs) and assigns countries to ITs based on the fuzzy-set ideal type analysis (FSITA) method. The typology focuses on formal and informal institutions that influence emerging corruption patterns rather than tangible properties of corruption. The four ITs are Limited misconduct in developed countries , Partial state capture , Autocratic patrimonialism , and Dispersed and unconstrained corruption . The analysis, comprising a total of 83 countries globally, offers novel insights into corruption patterns and their underlying mechanisms, demonstrates the applicability of the FSITA method in the context of corruption research, and offers policy pointers in the field of anti-corruption
AI-enhanced competency transfer hubs : a conceptual framework for university-industry engagement and knowledge sharing
No full textThis paper introduces a framework for AI-driven competency transfer hubs, designed to facilitate effective knowledge exchange and collaboration between universities and industries. These hubs leverage artificial intelligence technologies like machine learning and natural language processing to enhance the efficiency and effectiveness of information flows between academic institutions and industry partners, optimizing the whole knowledge-sharing process. Using the TCM-ADO framework the paper consolidates existing perspectives and offers practical suggestions on how to incorporate AI technologies into competency hubs. The discussion further delves into outlining key layers of such hubs including AI-powered knowledge extraction and enrichment, knowledge customization, adaptive project management as well as collaboration outcome enhancement and feedback optimization. A set of key elements for AI-enhanced competency transfer hubs was also developed and presented including the issues of technical alignment, advanced AI integration as well as value aspects. The study wraps up by exploring key areas of application in the establishment of AI-enhanced competency transfer hubs and their wider societal significance
The Sum Score Model : Specifying and Testing Equally Weighted Composites Using Structural Equation Modeling
No full textIn principle, structural equation modeling (SEM) is capable of emulating all approaches based on the general linear model. Yet, modeling sum scores in a structural equation model is not straightforward. Existing approaches to studying sum scores in a structural equation model are limited in terms either of model specification or of model assessment. This paper introduces a specification to SEM that allows for directly modeling sum scores and that overcomes existing approaches’ limitations in dealing with sum scores in the SEM context. The sum score model we present builds on the recently proposed refined Henseler–Ogasawara (H–O) specification of composites. It allows us to estimate models with sum scores in an integrative way. It can mimic the results of existing approaches and provides a means of assessing whether a sum score fully transmits the effects of or on the variables that make up the sum score. In addition, it allows for taking into account random measurement error in the variables that form the sum score. Consequently, this model specification offers researchers an improved way of judging and defending the use of sum scores empirically and conceptually