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Business and Economics
Abstract
This study delves into the multifaceted impact of the COVID-19 pandemic on Central Europe's cultural sector. Early responses to the pandemic predicted significant job losses and suggested that national governments would disproportionately neglect the pandemic's financial impact on the cultural sector and fail to prioritize cultural recovery. This research aims to examine policy implementation and its real-world effects on cultural employment trends in the crisis aftermath. We focus on the impact of public spending on cultural services in Central Europe, particularly the funding allocated to mitigate the pandemic's effects in 2020 and 2021. By analysing financial measures and comparing Eurostat's cultural indicators, this study seeks to deepen our understanding of cultural policies in the region. It highlights the diverse nature of these financial measures and assesses their effectiveness in sustaining cultural employment post-pandemic. With a few exceptions, the adopted measures helped to maintain pre-pandemic employment rates across Central European countries. Key findings reveal the vulnerabilities and adaptations of the sector, shedding light on the broader implications of COVID-19 on cultural policies in Central Europe.
Abstract
This study contributes towards understanding tax compliance by identifying taxpayers' characteristics affecting it. The purpose of this study was to identify significant characteristics of Slovenian taxpayers that affect corporate tax compliance. Data were acquired through the desk audit process conducted by the Financial Administration of the Republic of Slovenia (FURS), focusing on the investment allowance of Slovenian corporate taxpayers. Econometric testing determined that a binary logit model was the most appropriate fit. Consequently, logistic regression analysis was performed on a large sample of Slovenian corporate taxpayers for the period between 2018 and 2021. A wide range of characteristics were considered, including the type of enterprise, age, size, industry, location and financial indicators. Eight characteristics were found to significantly impact tax compliance in Slovenia, including the size of the enterprise, organizational type, residing tax office branch, business sector, and the year the observed audit was conducted. Besides finding eight significant characteristics of taxpayers determining tax compliance, results also indicate the presence of local bias, with one of the tax office branches significantly impacting the number of irregularities found during audits.
Abstract
In this paper we investigate the drivers of efficiency of Central and Eastern European schools as a function of their inputs, outputs, and the environmental factors that influence their efficiency. The data contains 3,608 schools across 17 countries in the Europe-East region. We use a two-stage Data Envelopment Analysis approach with a double-bootstrap truncated regression in the second stage to achieve our objectives. Our results show that on average many countries seem to have bottlenecks in their schools' performances in math subjects while reading subjects seem to be a major positive contributor to their efficiency. Moreover, food insecurity (as a result of financial troubles) has a severe negative impact on our sample's efficiencies, a similar effect was observed as well for the average level of parents' education.
Abstract
The study of sub-systems tends to be a disadvantaged endeavour within the discipline of International Relations. While the global level of analysis attracts more attention, contradictions in assumptions embraced by IR surface most readily on the sub-systemic level. This was the case with ‘Regional Power Research’ (RPR), a systematic study of post-Cold War emerging powers. RPR conceptualised emerging powers as autonomous regional powers and hypothesised that they would provide security as a public good within their regions. None of RPR's hypotheses could be confirmed empirically. The paper first provides a historically contextualised insight into the assumption of anarchy underlying RPR's hypotheses, and deconstructs the concept of public goods. It then presents findings from a longitudinal qualitative content analysis of the 1990–2021 national security strategies issued by the United States. Findings show that the world order that prevailed when emerging powers rose was markedly hierarchic, precluding autonomous security provision, an inherently hierarchic endeavour, by sub-global powers. Emerging powers embraced adaptive strategies and the global distribution of capabilities shifted. Findings confirm the need to ground hypotheses in empiricism, realigning regional and global level power research to reflect the changing degrees and spatio-temporal distributions of anarchy and hierarchy in the international system.
Abstract
The focus of the paper is how social professionals perceived their profession and its external judgment or recognition before and during the COVID-19 pandemic. We analyse social workers' comments in online professional communities on social media platforms. The relevance of the study lies in the fact that the investigation of the Hungarian social sector has received little attention compared to other human services professions, especially healthcare, and the analysis of social workers' online discourses is unprecedented nationally and seldom encountered internationally. The web-based content analysis covered a three-year period including the pandemic, and it is based on 6,692 online comments. According to our results, the entire comment stream is characterized by a mixed tone with a strong critical edge. The content analysis showed that Hirshman's theory provides a productive analytical framework to observe loyalty and voice and frame different levels of dissatisfaction and corrective mechanisms. Thus, we found four overarching phases and attitudes with moderate, strengthening, strong, and fading voice. Different intensities of loyalty and voice mirrored different stages and waves of the pandemic. Though the results of the content analysis resonate with previous research findings based on more conventional methods in many ways, they added further depth to domestic and international knowledge. While social workers' perception of their situation and prestige of social work was overwhelmingly negative, a method of coping with their burdens was through professional pride, solidarity, cohesion, self-compensation and compassion for their clientele.
Abstract
In our rapidly changing world characterised by globalisation, economic crises, a pandemic, and regional integration, the structure and functioning of welfare states have undergone significant transformations. These forces have shaped and continue to redefine welfare state models worldwide. This study examines the trajectories undertaken by European Union member countries regarding their welfare state models, particularly focusing on the transformative experiences of former communist states. Based on a critical assessment of previous research by a bibliometric analysis, our study comprehensively investigates five categories of factors (fiscal, economic, social, institutional, and political factors) influencing the configuration of welfare state models. Considering these five categories and using cluster analysis, we split European countries into five welfare state models. Our main contribution is the investigation of the migration of European Union states across various welfare state models during the 2003–2021 period. Policymakers can use these results to increase the well-being of former communist states within their clusters.
Abstract
Although the Feldstein-Horioka (1980) puzzle has been one of the most widely discussed problems in macroeconomics literature, long-run evidence regarding the validity of the Puzzle is missing. To extend the existing literature, we revisit the Puzzle for the case of the United Kingdom (UK) using data that covers almost two centuries, 1830–2016. We analyze the data using conventional and novel econometric methods to capture the stochastic properties of the variables and ensure robustness. To this end, well-known autoregressive distributed lag (ARDL) and recently developed nonlinear ARDL and Fourier ARDL (FARDL) models are implemented. The coefficients derived from the ARDL, NARDL, and FARDL are 0.58, 0.64, and 0.56, respectively. All results show a long-term relationship between investment and savings rates in the UK. The obtained empirical results indicate that even in the long run, there is evidence for the existence of the Puzzle.
Abstract
This study investigates the technical efficiency of insurance companies in five Western Balkan countries between 2015 and 2022, using a two-stage double bootstrap data envelopment analysis (DEA). In the first stage, bias-corrected DEA efficiency scores are calculated. The second stage employs the bootstrapped truncated regression to investigate relationships between firm characteristics and these efficiencies. Our findings indicate that insurance companies in Serbia exhibit the highest level of technical efficiency, while their counterparts in Albania display the lowest level. Five key drivers of insurer efficiency are identified: firm size, specialisation, growth, solvency, and profitability, while the effect of ownership structure is not statistically significant. Further analysis of returns to scale indicates that most large and medium-sized insurers in Western Balkan countries operate under decreasing returns to scale (DRS). In contrast, most small insurers exhibit increasing returns to scale (IRS). This research contributes to a better understanding of factors influencing the efficiency of insurance companies in developing countries, with implications for insurance regulators, strategic management within the industry, and future research endeavours.
Abstract
This paper aims to contribute to the ongoing discussion surrounding the influence of institutions on the distribution of entrepreneurial talents across productive, unproductive, and destructive activities. Existing literature suggests that societies can exhibit purely destructive, unproductive, or productive entrepreneurship characteristics. Employing a game theoretic framework that integrates insights from entrepreneurship and institutional studies, we explore the dynamics of entrepreneurial talent allocation. Introducing an institutional parameter into the Prisoners' Dilemma Game, we clarify the mechanism by which a society transitions between different forms of entrepreneurship, contingent on the value of the parameter (ranging from −1 to +1). Our findings underline a continuous transition, revealing the prevalence of either a predominantly rent-seeking society or one characterized by productive entrepreneurship, with variations based on the proximity of the institutional parameter to perfection or imperfection.
Abstract
This paper, using the OECD DAC's ODA (Official Development Assistance) database and UN Comtrade's trade data, empirically demonstrates that donor countries can utilize development aid as an instrument to build stable trade relationships and expand trade with recipient countries by strategically directing aid to targeted recipients. The empirical results indicate that a bilateral donor-recipient pair is more likely to establish a stable trade relationship and experience greater growth in bilateral trade flows than in the absence of such aid. The effects of aid on trade stability persist across various settings: whether the trade type is export or import, whether the traded goods are final or intermediate, and whether the aid is provided as loans or grants. The impacts of aid on fostering bilateral trade growth are also significant. Particularly, concessional loans are far more effective than grants in promoting donor-recipient trade growth, especially in stimulating the recipient's imports from the donor. These findings suggest that donor countries can leverage development aid as a strategic measure to mitigate the risk of global supply chain disruptions and secure overseas export markets during external trade shocks, such as the global financial crisis and the COVID-19 pandemic.
Abstract
The paper decomposes the real and nominal exchange rate volatility using the component GARCH specification to examine their impact on foreign direct investment (FDI) in 23 transition economies at aggregated and disaggregated levels. The paper employs instrumental variables within the SYS-GMM estimation procedure to provide the results' reliability and consistency. According to the results, the impact of long-run real exchange rate volatility on FDI differs among economic activities. These findings may be explained by the fact that the key motives of foreign investors entering the manufacturing sector will likely differ from those of foreign investors entering the financial intermediation or transport and communication sector. On the other hand, the short-run real exchange rate volatility and the long- and short-run nominal exchange rate volatility are not significant determinants of FDI in the transition economies covering the period from 2000 to 2023.
Abstract
Millions have adopted tools like ChatGPT in recent years, yet indifference and resistance among employees remain. This qualitative study employs monodramatic projective techniques to explore employees' hidden assumptions and unconscious beliefs in a division attempting to integrate Generative Artificial Intelligence (AI, GAI). Through pretensive work, soliloquy, symbolic representation, modeling with intermediate objects, concretization, and role reversal techniques, the interviewees' internal representations of GAI and trust were materialized in physical artifacts, such as a ball of straw or a potted plant. The study identified three principal themes: GAI's appearance as a Janus-faced presence, unmet performance promises, and avoided proximity. Findings highlight ambiguities in acceptance and show that adoption was driven more by industry hype and normative pressures than genuine organizational needs, leading to disorganized implementation dependent on individual employee characteristics, mistrust, and disenchantment. The study's main contribution lies in refining human-robot interaction (HRI) models and psychodrama methods for GAI, emphasizing the significance of physicality and embodiment in technology-mediated relationships, identifying trust as a complex phenomenon with potential reciprocal causation, and emphasizing the importance of affective attitudes, illustrating how adoption projects can falter despite cognitive openness – all insights crucial for understanding self-driven, bottom-up GAI adaptation in an organizational context.
Abstract
Millions have adopted tools like ChatGPT in recent years, yet indifference and resistance among employees remain. This qualitative study employs monodramatic projective techniques to explore employees' hidden assumptions and unconscious beliefs in a division attempting to integrate Generative Artificial Intelligence (AI, GAI). Through pretensive work, soliloquy, symbolic representation, modeling with intermediate objects, concretization, and role reversal techniques, the interviewees' internal representations of GAI and trust were materialized in physical artifacts, such as a ball of straw or a potted plant. The study identified three principal themes: GAI's appearance as a Janus-faced presence, unmet performance promises, and avoided proximity. Findings highlight ambiguities in acceptance and show that adoption was driven more by industry hype and normative pressures than genuine organizational needs, leading to disorganized implementation dependent on individual employee characteristics, mistrust, and disenchantment. The study's main contribution lies in refining human-robot interaction (HRI) models and psychodrama methods for GAI, emphasizing the significance of physicality and embodiment in technology-mediated relationships, identifying trust as a complex phenomenon with potential reciprocal causation, and emphasizing the importance of affective attitudes, illustrating how adoption projects can falter despite cognitive openness – all insights crucial for understanding self-driven, bottom-up GAI adaptation in an organizational context.
Abstract
The green transformation of oil and gas companies is necessary to tackle climate change. Most of the green transformation related activities have been launched since the Paris Agreement was ratified. The main purpose of this article is to highlight how oil and gas companies handle the pressure of shifting their fossil fuel-based portfolio by analyzing their divestment trends. In our sample, six large, medium, and small oil and gas companies – Shell Royal Dutch (UK-based), British Petroleum (UK-based), OMV (Austrian), PKN Orlen (Polish), Neste (Finnish) and Orsted (Danish) – are assessed regarding the maturity of their green transition via the lens of their divestment figures between 2017 and 2022. The biggest leaps in green transition have been taken by small companies with the support of their governments. The majority of the divested portfolios were purchased by companies outside of the European Union (EU). This research offers a significant contribution to the literature on green energy transition, focusing on the divestments trends of oil and gas companies.
Abstract
Theoretically anchored in the Resource Based View of the firm, this study investigates the effect that customer involvement has on innovation outcomes. Our results, based on structural equation modeling of survey data from 296 Hungarian firms, show that involving customers does not lead directly to better financial incomes, instead the link between innovation performance and customer involvement is mediated by innovation novelty. This finding contributes to a more nuanced understanding of how customer involvement helps innovation outcomes. The findings highlight the role of contingency by showing that differentiation strategy positively, and knowledge sharing negatively moderate the positive effect of customer involvement on innovativeness. The study concludes with valuable theoretical and managerial implications and suggestions for future research.
Abstract
This study explores the diversity in the personality profiles of solopreneurs in high- and non-high-tech sectors during the initial business phase, driven by the need to determine whether sector-specific personality traits are crucial for entrepreneurial success. Utilizing the Big Five personality traits (BFPT), we analyze data on 4,470 solopreneurs from the IAB/ZEW Start-up Panel (2018 and 2019 waves). This study incorporates comprehensive Big Five personality, exploratory factor, cluster, and heatmap analyses. These methods reveal significant differences between solopreneurs and the general population, particularly regarding openness, conscientiousness, extraversion, agreeableness, and neuroticism. The analysis identifies three main industry sectors that reflect the range of entrepreneurial approaches. Despite sectoral diversity, Big Five profiles of entrepreneurs are homogenous, challenging the assumption that different sectors require distinct personality profiles. The findings underscore the importance of self-awareness and accurate self-perception in fostering innovation and making prudent decisions during the early stages of entrepreneurship.
Abstract
Does evidence exist of convergence clubs in global climate change vulnerability/readiness? This question is pivotal as it dictates the necessity for policy collaboration in addressing climate change. This study investigates the climate change convergence hypothesis utilizing climate vulnerability index data from 136 countries spanning 1995–2020. Employing club convergence methodology, which clusters countries with similar characteristics while accommodating country heterogeneity, the analysis reveals an initial classification comprising 14 clubs. The study identifies that the first four clubs consist of low- and medium-low-income countries in Africa and South Asia, while the last four clubs comprise high-income countries situated among the USA, Canada, and Europe. These findings show high, low- and middle-income countries' responses to climate change.
Abstract
The aim of the paper is to determine the effect of corruption, using human development index (HDI), and its sub-indices: education, life expectancy and gross national income in 135 developed and developing countries over the period of 2005–2021. A dynamic estimation (sys-GMM) method was employed and the transformation of Prais-Winsten with corrected standard errors for correlated panels (PCSE) and GMM were used for robustness check. The findings show that corruption, in any of the indices, serves as a human development constraint for both the overall country sample, and for the countries grouped by income level. An interesting result is that the education index in the lower-income countries is more sensitive to corruption, while corruption affects the income index to a greater extent in the higher-income countries. The analysis also confirms that democracy, economic freedom, investment, social public spending, as well as, globalisation and information and communication technologies are influencing factors of HDI.
Abstract
The study aims to determine the influencing factors of Enterprise Resource Planning (ERP) systems adoption in the Romanian small and medium companies (SMEs). Our research is based on a national level representative survey with 374 personal interviews of CEOs. The conceptual framework is based on a detailed literature review and adopts the main dimensions of the Technological Organisational and Environmental (TOE) model. Applying a binomial logistic regression model, the significant factors for ERP adoption are identified. The main result is that the ERP system is an operative, necessary tool of business transactions for SMEs, not a cutting edge, IT innovative implementation. The adoption of ERP is positively impacted by a wider market scope since ERP systems support the expanded business partnerships and market extension procedures. Further results of the model show that business performance indicators do not affect ERP adoption, however the managers' perception of the competitive pressure and the top management support toward IT applications increase the likelihood of adoption.
Abstract
The study examines the role of social capital in the process of economic growth with a special focus on its relationship with the institutional structures of economies. Within this framework, the study first explores whether the impact of social capital on economic growth can be assessed under different regimes based on the government size. Subsequently, in order to highlight the significance of the effective presence of the government, we analyze the threshold impact of government size for lower and upper mean values of government effectiveness. We employ a dynamic panel threshold procedure by utilizing the data from 91 countries (34 developed and 57 emerging economies) over the period 2007–2021. Our findings reveal that social capital does not always have a positive impact on economic growth. Particularly in emerging economies, when government effectiveness is below the mean value (<−0.10), regardless of the identified threshold for the government size, social capital negatively influences economic growth.
Abstract
In Hungary, initial pensions are indexed to average net wages, reported by official earnings statistics (ES). However, there is an alternative statistical source on labour income, the national accounts (NA). The latter indicate a markedly lower rate of growth in wages than the ES for the period between 2010 and 2020. We claim that the ES overstated the actual increase in wages at the national level during the 2010s, and make our own calculations regarding the path of net wages and implied (hypothetical) initial pensions. The main implications are as follows: (i) the actual increase in initial benefits was excessive; (ii) the ratio of average benefits to the revised average net wages fell much less; (iii) the accumulation of major tensions between cohorts retiring in subsequent years might have been reduced by relying on the more plausible wage statistics reported by the NA.
Abstract
Today's world is characterised by the rapid spread of digital technology in the financial industry. Strongly connected with this development, financial products have become increasingly complex. Globalisation has increased the number of financial products offered worldwide, and almost every daily decision has a financial aspect. Thus, for the last three decades, a widening government-level agreement has emerged that individuals, particularly young people, need appropriate financial literacy to handle their finances successfully, prevent financial exclusion, and protect themselves against possible financial fraud. This deficiency is even more severe in the CEE countries, where savings, borrowing opportunities, and financial self-care options were limited; financial markets were practically non-existent.
This paper reviews the existing efforts in financial education, drawing lessons from traditional methods and established channels. It also highlights recent initiatives that aim to bolster financial literacy.
Abstract
The purpose of the article is to assess the extent to which digital transformation policies in Bulgaria are modernized and receptive to new multi-sectoral reform approaches. Criteria were developed to evaluate the alignment of government documents with one or more strategic paradigms. An analysis was conducted on eight strategic documents related to digital transformation in Bulgaria, developed after 2010. This analysis utilized the Grounded Theory Coding procedure for inductive category development and applied codes from the criteria framework. Atlas.ti software was used for textual analysis, which provided quantitative data on the frequency of codes meeting the defined criteria for each strategic paradigm. The initial document evaluation was complemented by a qualitative content analysis to clarify the criterion-based findings and further explore the influence of different paradigms. In-depth interviews with representatives from public sector organizations confirmed and enriched some of the conclusions drawn during the analysis. The study finds that (1) the traditional approach dominated the early strategic documents but was gradually displaced by New Public Management; and (2) the network approach is insufficiently represented in the vision and strategic goals of Bulgaria's digital transformation process.
Abstract
We propose a novel probability approach to examine the sustainability of the current account balance by generating density forecasts and calculating the probability that the current account balance will be lower than a specified threshold. We define a current account as sustainable by having a low probability of the current account deficit exploding. We use a vector autoregressive model to generate density forecasts up to five years ahead. We apply the method to ten countries that had high current account deficits in the past and find cases with both high and low probability of sustainability. We analyse historical episodes to illustrate the predictive capability of our framework and find that our method would have worked well in the past. We further find that the sustainability risk does not relate to whether the government or the private sector is the main driver of the deficit.
Abstract
The transition to electric vehicles has become an urgent priority due to their lower environmental impact. The automotive industry has already developed solutions for zero-emission vehicles to significantly reduce greenhouse gas emissions. However, this transition heavily depends on the evolution of consumer demand. This paper focuses on Generation Z, as they will soon become a determining consumer segment in the automotive market. Our research aims to analyze Generation Z's attitude toward electric vehicles. Their attitude provides valuable insights for industry leaders regarding future consumer behavior. We analyzed the relationship between selected adoption factors (environmental concern, perceived risk, ease of use, and enjoyment) and Generation Z's attitude toward electric vehicles (measured by perceived relative advantage). Our research is based on data from Hungarian Generation Z respondents, and our findings conclude that environmental concern is less relevant than enjoyment and ease of use, which are the most impactful factors.
COVID-19 and SMEs: An umbrella review of systematic literature (2020–2024) and future directions for entrepreneurship
Introduction to the “The Entrepreneurial Landscape in the Post-COVID Era: Insights, Challenges, and Future Perspectives” special issue
Abstract
This special issue addresses the impact of COVID-19 on entrepreneurship. It builds on insights shared at the dedicated session – supported by the Hungarian Academy of Sciences' Post-COVID research grant (MTA PC-II-17/1/2022) – of the 2nd Danube Cup Conference in Belgrade in November 2023, featuring three papers presented there, along with four additional contributions. The goal of this issue is to advance scholarly understanding of post-COVID dynamics in entrepreneurship and share valuable findings with a broad academic audience. To provide a comprehensive overview of current research on this topic, we include an umbrella review examining the COVID-19 crisis' impact on small and medium-sized enterprises (SMEs) from 2020 to 2024. Drawing on 26 systematic literature reviews identified through Scopus, Google Scholar, and Elicit, this review captures key challenges, strategies, and emerging trends affecting SMEs. Major research themes identified include resilience, supply chain management, digitalization, crisis management, and the financial impact of COVID-19.
Abstract
The study investigates the impact of negative economic changes on Hungarian consumption habits on a representative sample of 1,000 people during the post-COVID period, which we interpreted as the period after December 2021. The quantitative research shows that a significant part of the population was affected by the unexpected effects of the economic environment. The change in purchasing habits was driven by the search for promotions and value for money products. Regarding the place of purchase, the research showed that the share of online shoppers did not increase for the 12 product categories surveyed, while the role of discounters in offline purchases increased. The survey highlighted that a third of the population cannot afford to make large purchases, while at the same time avoiding loans. Two-thirds of the population's view of the future is quite pessimistic. In consumption attitudes, the first priority is the aforementioned “discounting”, while the second priority is saving money on packaging. Hungarians tend to save more on electricity and heating. Finally, the result of our cluster analysis is that we have been able to distinguish five consumer groups that are able to describe the main consumer attitudes in the post-Covid crisis period. The defined clusters are the following: Resistant, Bargain hunter, Conscious, Rationing and What you can afford is what you can get.
Abstract
This article examines the sports motivation and sports opportunities of people with physical disability in Hungary, filling a gap in the research area. A total of 122 people (76 athletes) participated in the questionnaire research. We supplemented the quantitative research with qualitative research, in which we assessed the experiences of sports leaders through expert interviews. As a result of the research, we have shown that gender affects participation in sports, but has no role in sports motivation. Furthermore, we have established that for athletes with reduced mobility, mostly external motivational factors are different. Intrinsic motivation is strongest in the case of paralympic athletes. The main reason for amotivation among non-athletes with reduced mobility is the lack of adequate sports facilities close to the place of residence. Most athletes get to the venue of their sporting activity by car alone. Lack of peers has also been found to be a common reason for amotivation among respondents. Organising inclusive and mixed sports events could be a solution to the problem, promoting involvement in sport and social integration.
Abstract
The aim of our research is to fill the research gap on how successful businesses have been affected by the challenges posed by COVID-19 regarding the resilience and adaptability of firms. Since 2016, the Budapest Stock Exchange (BSE), with the collaboration of EY, selects a number of unlisted companies (BSE50) per year that have Hungarian roots and are considered successful based on their operations and ability to increase sales. We examined the impact of COVID-19 on profitability, liquidity, indebtedness and change in turnover or EBITDA based on four years (2018–2021) of financial data from 252 non-financial, unlisted companies. In addition to the descriptive statistics, a two-sample asymptotic z-test was used to compare the periods before and during COVID-19. We divided the BSE50 companies into Dynamics and Laggards based on the change in turnover between 2019 and 2020. The Dynamics of the pandemic have emerged from the challenging period of COVID-19 as real champions, taking advantage of their low level of indebtedness by making efficient use of loan possibilities. Even the Laggards were able to rebalance and consolidate their financial position by the second year of the pandemic. Our study is novel because we used data on Hungarian, non-financial, unlisted companies with successful management to examine the impact of COVID-19 on hard-hit firms as well as on firms in the winning branch.
Abstract
Enterprises prioritizing social issues over profit maximization can lead to value co-creation, especially in marginalized and unprivileged communities. In this regard, this paper explores underlying theoretical mechanisms that tie digitalization and value co-creation together for social entrepreneurship's development. The article aims to identify how digitalization enables value co-creation for social enterprises. We conduct multiple case studies, have 11 in-depth face-to-face interviews with social entrepreneurs from Azerbaijan and synthesize the findings from primary and secondary data. As a result, we reveal that digitalization enables value co-creation for social entrepreneurship through a new phenomenon, which we call Data-driven Social Co-creation (DSC), and its subcategories such as efficiency, resource mobilization, feedback loops and data utilization. Finally, we recommend the DSC framework which shows the relationship between digitalization and value co-creation in social entrepreneurship, and which is the main theoretical contribution to the social entrepreneurship literature. Additionally, we provide a research agenda on the respective research field.
Abstract
Although the entrepreneurial gender gap is decreasing in European economies, the obstacles faced by women entrepreneurs remain numerous and often differ from those encountered by men. The COVID-19 pandemic, and then the energy crisis, have made it even harder for women entrepreneurs to sustain their businesses and have added to the challenges of work and private life. Women entrepreneurs, among many others, had to face how to survive crises and adjust their businesses to new circumstances to become more resilient, remain competitive and sustainable in times of crises, and in particular to improve their digital skills. A new insight is crucial for more efficient entrepreneurial development for women. A cross-country research helps to identify the needs of women entrepreneurs and provide a solid basis for the development of tailor-made activities focusing on innovative and practical solutions to support the up-skilling and resilience of women entrepreneurs. Through a survey conducted with 608 women entrepreneurs from seven European countries, our basic question was how women entrepreneurs managed to get through and become resilient in times of crises. The focus of our analysis is digitalization: did the rapid digital transition help women entrepreneurs become resilient during turbulent times? Did the practicing of digitalization-based resilience strategies (including remote work, online sales and similar approaches) improve women entrepreneurs' operational efficiency and strength?
Abstract
The paper employs a cross-sectional data set comprising the main dimensions of the European Union's International Digital Economy and Society Index (I-DESI) and utilises grouping methods based on objective weights to evaluate the relative digital readiness of Hungary and other Central and Eastern European (CEE) member states of the EU. The objective was not to establish a total ordering (ranking) of the countries in the data set, but rather to identify the most appropriate means of grouping the CEE countries into homogeneous units, utilising multivariate statistical and decision-theoretical techniques (tiered DEA, partially ordered sets and clustering). Despite the disparate methodologies employed, the findings are consistent in that the CEE countries (including Hungary) exhibit a general resemblance to one another and demonstrate comparatively lower levels of digital readiness than Northern and Western European countries. The notable exception is Estonia, which exhibits a distinctive level of digital advancement.
Abstract
This paper aims to enhance the understanding of the influencing factors and consequences of feedback, with a particular focus on brand outputs and co-creation, and to identify future research areas related to feedback. First, we propose to clarify definitions by introducing actionable customer feedback and drawing clear distinctions among synonymic concepts used in the literature. Then, we conduct a systematic literature review of 73 journal articles from the past two decades and synthesize their findings in the feedback, brand, and co-creation intercept. We also introduce a structure for feedback-related antecedents, moderators, mediators, and performance outputs. As a main contribution, we offer a visual representation of the findings of the systematic literature review to support scholars of customer behavior who are discovering their own directions according to their expertise. Through the use of visual tools such as tables and figures, we provide summary statistics reflecting the methodologies used in the literature, the industries involved, the geographical spread, and adjacent theories used. We also summarize the different positions of feedback within conceptual frameworks. We contribute to the literature by proposing and visually demonstrating new grouping dimensions of the antecedents, mediators, moderators and performance outcomes of the feedback literature. Finally, we recommend directions for future research on actionable feedback. We recommend studying the mediating and moderating impacts of demographics, gender, environmental characteristics, geography (especially developing economies), and B2B businesses on actionable feedback. The roles of trust and feedback in brand outputs, for example, brand value and brand equity, requires further investigation. Finally, we recommend exploring constructs in which feedback plays multiple roles in different positions.
Abstract
There is a long-standing debate among scholars over the convergence versus divergence of the regional growth rate of per capita income in India. The present study tries to resolve this debate in light of the latest available data by using Beta-convergence analysis in a panel data framework. The results indicate the presence of unconditional divergence and conditional convergence in the case of both inter-state and inter-region analysis, which shows that the unconditional divergence may be due to the presence of omitted variable bias. The results also show that the primary sector is associated with the reduction of interstate and inter-region income inequality, while the growth of the tertiary sector is correlated with increasing interstate and inter-region income inequality. Therefore, the findings of the study imply that the phenomenon of service-led growth in the post-reform period was accompanied by the widening gap in the growth of various states and regions of India.
Abstract
Cognitive ability is increasingly recognized as a significant factor influencing household portfolio decisions. However, different cognitive abilities, such as numeracy, fluency and recall, may yield different investment results. The aim of this paper is to empirically examine the associations of three cognitive abilities (numeracy, fluency and recall) with household portfolio composition using Survey of Health, Aging and Retirement (SHARE) data across 16 European countries and the multinomial logit model. Our empirical analyses focus on the impacts of differences in country characteristics, specifically the level of economic development and the existence of a national health system (NHS).
The results indicate that numeracy and fluency have positive impacts on the decision to hold safe and relatively risky assets, as well as fully diversified portfolios in developed countries, but have no significant effects in emerging countries. Additionally, all three cognitive abilities positively influence the decision to hold fully diversified portfolios in the countries with NHS, while no significant effects are observed in the countries without NHS.
Our findings reveal a decreased impact of cognitive abilities on portfolio types in the emerging countries and the non-NHS countries. Notably, a significant and positive correlation is found between the holding of no financial assets in both non-NHS countries and advanced countries. One important implication of this study is that marketing strategies of financial advisors should take into account household cognitive abilities, as well as differences in economic development among countries and the presence or absence of NHS.
Abstract
We investigated the determinants of changes in agricultural technology in Vietnamese rice-growing households. The double-hurdle estimation developed in this study proved to be an efficient method for determining how and to what extent changes in agricultural technology had been influenced by various factors while also allowing correlation between farmers' choices. We found evidence of a persistent increase in the use of improved seeds and machinery. In contrast, the previous upward trend in the use of fertilisers and pesticides was recently reversed. Farmers' decisions to adopt and use these four agricultural technologies are highly correlated with farm size, input and output prices, and macroeconomic conditions. Our findings also confirm a simultaneous relationship between the decisions to apply agricultural practices. When promoting new agricultural technologies, follow-up policy interventions should account for these characteristics of individual smallholders' decisions.
Abstract
This paper attempts to identify the determinants of foreign direct investment (FDI), focusing especially on terrorism and keeping in mind that FDI is one of the key economic growth engines. The main goal of this paper was to determine the correlation between terrorism and investment activities. The method used is a dynamic panel data model (System 2 step-GMM estimator), based on a sample covering a total of 36 OECD economies in the period from 2005 to 2018. The findings indicate that terrorist incidents and economic, institutional, and natural variables have different impacts on FDI in the OECD Member countries. The research found a statistically significant impact of terrorist incidents and natural disasters and a strong impact of economic and institutional variables.
Abstract
Recent research has suggested that unconditional convergence no longer exists. Thus, this study examined the income convergence among 11 Central and Eastern European (CEE-11) countries that joined the European Union in/after 2004 and Europe's four largest economies (Germany, France, the United Kingdom, and Italy) by using panel data from 1994 to 2019. For this purpose, it employed the beta (β) and sigma (σ) convergence approaches to analyze the dynamics of economic growth. Based on the findings, in 1996, the four largest European economies had a higher capital–labour ratio and GDP growth than CEE-11. However, by 2019, the patterns reversed. As for the regression results, there was strong evidence of unconditional β convergence between 1999 and 2019, at an annual rate of 11%, with the σ convergence and the fixed effect models further supporting income convergence. Moreover, although brief divergence occurred during various financial crises, the overall trend was a significant convergence of CEE-11 with Europe's four largest economies through higher relative GDP growth. This study contributes to the economic growth theory of income convergence across countries and highlights the importance of regional integration in enabling sustainable catch-up growth.
Abstract
Digitalisation presents a significant challenge for small- and medium-sized enterprises (SMEs), as they generally lack the required competencies and qualifications for a digital transformation. However, crises such as the COVID-19 pandemic have highlighted how digitalisation can improve SME efficiency and unlock new markets. This paper aims to contribute to the empirical literature by analysing the factors influencing Hungarian entrepreneurs' activities and attitudes towards digitalisation during the COVID-19 pandemic. The results are based on the quantitative analyses of Hungarian datasets of the Global Entrepreneurship Monitor (GEM) spanning 2021 to 2023, complemented by figures from a representative survey of SMEs in 2022. Our findings show that while nearly all SMEs utilise digital devices, adopting more advanced solutions remains low. Although the pandemic somewhat accelerated the digitalisation efforts, most entrepreneurs do not expect to use more digital solutions in the next six months. There is no consistent correlation between digitalisation and entrepreneurial motives, as the cluster analyses did not provide homogenous groups of entrepreneurs in the years analysed, so we can conclude that digitalisation efforts may be even among them. Thus, to overcome the challenge of digitalisation, policymakers should incentivise entrepreneurs to improve their digital skills and implement digital solutions.
Abstract
The paper analyses the Loss Given Default (LGD) rates of residential mortgages, using a model based on stochastic collateral value. The implementation of the model is based on exponential Ornstein-Uhlenbeck processes fitted to the Hungarian regions' house price indices. According to the model results, in case of a mortgage with a 80% loan-to-value ratio at origination, the expected LGD is around 30–40%, depending on the region. The highest LGD rates are estimated for villages, while the lowest rates are expected in Budapest and cities in the middle of the country. The range of the regional differences can reach 7 percentage points. According to the LGD Risk index based on the aggregated model, the LGD risk profile of recently issued mortgages has improved significantly since 2009 in Hungary.
Due to the strong negative relation between the house prices and mortgage default rates, the expected return on defaulted collateral value tends to be low. The results could be relevant for credit institutions in their mortgage origination decisions and enhance analysis of lending processes and the associated risks.
Abstract
This contribution aims to address the intriguing issue of whether Industry 4.0, as a techno-economic paradigm shifter, may have a greater potential for exaptation (i.e., using it not for pursuing of quantitative but that of qualitative development) and, if so, what technologies may accelerate this process. Existing research indicates that graphene technology has the potential to lead the way in this area. The paper addresses not only why and how a graphene-aided Industry 4.0 can be conducive to this function (i.e., making exaptations easier on a larger scale), it examines the wider context for exaptations by questioning whether the current setup of the real economy, the financial universe, and the public sector offers a supportive environment for exaptations.
Abstract
This research developed an analytical framework for industry-oriented leading cyclical indicators (CII), focusing on monitoring and forecasting economic cycles within the European Union (EU). Various methodologies for constructing these indicators were examined through an exhaustive sector analysis. A salient conclusion drawn is the non-feasibility of a one-size-fits-all composite leading indicator for all EU members. It underscores the imperative to tailor these indicators in congruence with the unique industrial characteristics of each country. The study provides empirical evidence that countries like Denmark, Germany, Austria, Estonia, Lithuania, Latvia, Finland and Sweden can benefit from high-caliber composite leading indicators tailored to their economies. Our analysis suggests that GDP is a more robust metric than the Industrial Production Index for predicting economic cycles for the EU countries.
Abstract
This study examines the complexity in the Eastern European economies, with a focus on the role of foreign direct investment (FDI). Despite transitioning to market economies, these countries remain economically fragile and dependent. Their lower technological complexity and reliance on foreign capacity make them vulnerable. However, some countries like Austria and Poland demonstrate successful integration of production and innovation. The analysis shows FDI has a limited impact on developing complex knowledge but contributes positively to economic complexity. Results also indicate that in the long-term, economic and technological complexity does not lead to accelerated total factor productivity growth, contrary to complexity literature. Combining labour with innovation, safeguarding local industries, and prioritizing education and research are more effective approaches. The study clearly shows how Hungary is stuck in an “assembler trap.” It also finds that the gap between economic and technological complexity negatively affects liberal democracies.
Abstract
This paper investigates the use of redundancy procedures (RPs) by small and medium-sized enterprises (SMEs) in Spain during the COVID-19 pandemic. The novelty of this study is that it goes beyond the direct influence of the determinants of RPs on RP use, and analyses how the interactions among them moderate the direct effect. In contexts of rising uncertainty, businesses need to adapt their operations and fixed costs, including staffing. While teleworking is an alternative to RPs, our results show that it was not enough to deal with the negative impact of a worsening crisis. Moreover, when the survival of the business is at stake, the use of RPs increases further when the company is simultaneously affected by changes in demand and liquidity issues. We argue that our results reveal the need for flexible tools along with the policies that take into account the fact that businesses' reactions are contingent on their exposure to risk.
Abstract
The dividend puzzle for private corporations has a long-lasting history. Six theories provide explanations to this puzzle. However, the dividend puzzle has not yet been discussed as an economic problem for state-owned enterprises (SOEs). The article addresses this issue based mainly on the experience of the Bulgarian SOEs.
In the paper all well-known six theoretical concepts of the dividend puzzle are presented and their strengths and weaknesses are analysed. Furthermore, the specific features of SOEs are brought out and the dividend puzzle for them is formulated. Presenting the experience of the dividend policy of SOEs, a confrontation with the theories is made. It is proved that only the theory of dividend payment preference is relevant to SOEs.
Abstract
This research investigates the causal relationship between innovation, financial development and economic growth in Brazil, Chile, Colombia, Mexico and Peru between 2000 and 2019. Based on quantitative analysis, including vector autoregressive (VAR) models, it can be concluded that bidirectional Granger-causalities are present in the trivariate nexus in the five Latin American countries over the investigated times. Consequently, the three variables support forecasting and policy implications focusing on one of the three sectors that impacts the other two in the future. The paper concludes that imitation and innovation policies focusing on intellectual property rights protection, education, knowledge, institutional change and technological catch-up are necessary to foster economic growth and financial development.
Abstract
This study aims to analyse the time series properties of the unemployment rates in 10 Central and Eastern European countries after joining the European Union. Three types of unit root tests were conducted: (1) linear unit root tests, namely ADF, PP, LM, and RALS-LM tests; (2) LM and RALS-LM unit root tests with two structural breaks; and (3) LM and RALS-LM unit root tests with Fourier function. The results reveal that the hysteresis hypothesis is valid for Bulgaria, Czechia, Hungary, Latvia, Lithuania, Romania and Slovenia, whereas the structuralist hypothesis is valid for Estonia and Poland. However, the natural rate hypothesis holds only for Slovakia.
