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Recent accounting literature claims that private firms’ heterogeneity influences the quality of earnings. Along with certain drivers of heterogeneity, private firms get involved in specific programs aimed at fostering their access to capital, competencies and networks (CCN programs). Such programs can enhance private firms’ exposure to stakeholders that demand higher reporting quality, affecting their financial reporting choices. Therefore, this study investigated whether membership in CCN programs affects private firms’ earnings quality.

Focusing on the ELITE program, an international platform that since 2012 aims to support the growth of the most promising SMEs, and employing different econometric specifications facing endogeneity concerns, this paper carries out a quantitative empirical analysis to test the effect of CCN programs on private firms’ earnings quality.

Employing different earnings quality measures, empirical evidence reveals that firms belonging to CCN programs experienced an improvement in their earnings quality.

Even though endogeneity concerns have been addressed, we are nevertheless aware that they might, at least partially, have affected our results.

Although the contributions of the study are mostly academic, the empirical evidence obtained also carries practical implications. CCN programs not only act, as one might assume, as catalysts for economic and dimensional growth but also contribute to better earnings quality, mitigating the information asymmetries between firms and their stakeholders.

By adding new evidence to the literature concerning the impact of private firms’ heterogeneity on earnings quality, this is the first study to analyze the impact of specific programs aimed at supporting the affiliated SMEs to foster their access to capital, competencies and networks.

Historically, most CEOs were promoted from within the organization. The internal candidates offer continuity, are well known to the Board, and have deep institutional knowledge. However, if the Board is seeking changes to the firm’s strategy, operations, or culture, they turn to outside candidates with proven track records. Shareholders react positively to the announcement of an external successor but the longer-term evidence on the performance front is mixed. Most empirical studies have tended to focus on a narrow aspect of the hiring choice, whereas we undertake a more holistic examination involving various elements.

We consider the salience of the CEO hiring choice from several perspectives: educational background, gender, compensation, and firm performance. We use a propensity score matching approach to ensure comparability between internally promoted and externally hired CEOs. The observed covariates for the matching algorithm include firm size, CEO tenure, and industry sector.

We find that external CEOs are significantly more likely to have received their undergraduate degree from an elite institution, majored in a STEM discipline, and earned an MBA credential. They earn higher total compensation (with a higher proportion of equity-linked performance pay) but do not outperform in terms of the ROA or Tobin’s Q metrics. Gender does not appear to play a distinguishing role in the internal versus external hiring choice. We also do not detect significant differences in firm performance outcomes associated with educational pedigree, a STEM education, or an MBA credential, whether the CEO is internally promoted or hired externally.

Our paper contributes by providing novel evidence on the impact of educational background on external CEO hiring decisions. Our findings carry implications for testing hypotheses stemming from signaling theory and exploring the significant role of social networks associated with elite educational institutions. Also, the finding that externally appointed CEOs do not outperform their internally promoted counterparts may be noteworthy for corporate boards' hiring committees, especially when reviewing candidates who are edge cases.

The aim of this paper is to shed more light on the foreign direct investment (FDI) - income inequality nexus in the post-communist EU countries. Special attention is paid to the emergence of a new meritocratic elite related to foreign capital that tends to replace the old elite inherited from the transition period at the top end of the income distribution.

The macroeconomic model of the relationship between income inequality and FDI is estimated by using the generalized method of moments (GMM) technique. The sample includes 10 post-communist EU member states during the period 1993 to 2020.

The results suggest that the concentration of the highest level of human capital in foreign-owned enterprises, in the institutional environment under which foreign-owned enterprises are less numerous and pay a higher wage than domestic ones, contributes to the change of the effect of FDI and human capital on income distribution from an initial decrease to a later increase in income inequality.

This paper adds to the existing literature by exploring the distributive impacts of sectoral reallocation of FDI inflows from manufacturing to service sectors from the perspective of heterodox economics. It specifically examines how this shift has facilitated the emergence of a new meritocratic elite associated with foreign capital, which in turn diminishes the overall anti-inequality effect of FDI in the post-communist new EU countries.

This study aims to analyze the configuration of the board of directors of the five largest banks operating in Brazil, which are members of a financial elite that directly influences the socioeconomic life in Latin America.

This assessment is inspired by Bourdieu's sociological approach and in the discussion on his work in organization studies and economic sociology. It addresses the organization as a field and investigates its associated field of power. The authors conducted qualitative research and relationally analyzed data related to the trajectory and the social properties of the councilors using the statistical technique called multiple correspondence analysis (MCA).

The results show that forms of social and cultural capital are particularly influential in the production of distinctions among banks' board members. Moreover, councils' priorities and configurations are diverse: some idealized and based on knowledge, others pragmatic and based on customs, others still anchored in a double logic of market satisfaction and family wealth preservation.

Understanding the objective power relations among these top agents may be crucial for effectively regulating certain aspects of their activities. Furthermore, understanding how different forms of capital affect the relative position of the board members may help us reduce representative bias in what seems today an inner circle.

This study is relevant because it makes an in-depth analysis of the composition of one of the most influential financial elites in Latin America, combining sociological theory and advanced statistical techniques for qualitative grouping (MCA).

This study aims to investigate the influence of the reviewed establishment’s price level and the user’s social network size and reputation status on consumers’ tendency to post more visual imagery content. Furthermore, it explores the moderating effects of user experiences and geographic distance on these dynamics.

This study adopts a multi-method approach to explore both the determinants behind the sharing of user-generated photos in online reviews and their internal mechanisms. Using a comprehensive secondary data set from Yelp.com, the authors focused on restaurant reviews from a prominent tourist destination to construct econometric models incorporating time-fixed effects. To enhance the robustness of the authors’ findings, the authors complemented the big data analysis with a series of controlled experiments.

The reviewed establishments price level and the users reputation status and social network size incite corresponding motivations conspicuous display “reputation seeking” and social approval motivating users to incorporate more images in reviews. “User experiences can amplify the influence of these factors on image sharing.” An increase in the users geographical distance lessens the impact of the price level on image sharing, but it heightens the influence of the users reputation and social network size on the number of shared images.

As a result of this study, high-end establishments can increase their online visibility by leveraging user-generated visual content. A structured rewards program could significantly boost engagement by incentivizing photo sharing, particularly among users with elite status and extensive social networks. Additionally, online review platforms can enhance users’ experiences and foster more dynamic interactions by developing personalized features that encourage visual content production.

This research, anchored in trait activation theory, offers an innovative examination of the determinants of photo-posting behavior in online reviews by enriching the understanding of how the intricate interplay between users’ characteristics and situational cues can shape online review practices.

This study aims to contribute to the ongoing assessment of executive compensation by investigating the nexus between managerial entrenchment factors, adopting a multifaceted perspective encompassing both economic and non-economic dimensions.

This research employs pooled cross-sectional Ordinary Least Squares (OLS) regression and Least Squares with Dummy Variables (LSDV) models with fixed effects to examine the determinants of Chief Executive Officer (CEO) compensation.

This research identifies firm size, performance (via ROA and Tobin’s Q), and CEO characteristics (age, tenure, stock ownership, MBA degree) as significant determinants of executive compensation at the 0.05 level. In contrast, the prestige of educational institutions, doctoral degrees, and the MBA’s relevance to short-term performance, along with CEO tenure, do not significantly affect pay. Additionally, the study highlights the significance of industry type (manufacturing vs technology) in shaping compensation, emphasizing the role of firm metrics and CEO credentials in designing executive pay packages.

This research introduces an innovative approach to controlling unobserved heterogeneity and adjusting for the dynamic nature of CEO compensation attributes across diverse CEO characteristics. By integrating both pooled Ordinary Least Squares (OLS) and Least Squares Dummy Variable (LSDV) models, the study addresses the challenges posed by time-invariant variables and unobservable heterogeneity. Such issues have historically skewed the accuracy of traditional OLS models in identifying the comprehensive array of factors—both economic and non-economic—that influence CEO compensation. This novel methodological framework significantly advances the examination of unobservable variables that may vary not only across the firms selected for analysis but also over time periods, thereby offering a more detailed understanding of the determinants of CEO pay.

The present study aims to seek the strategic analysis of the entrepreneurship of agricultural colleges (AC).

In terms of approach, this research was a combination of exploratory and hybrid methods. The present study was conducted in four stages. In the first stage, an open-ended questionnaire was designed to identify the strengths, weaknesses, opportunities and threats of entrepreneurship in AC (qualitative method). In the second stage, the Delphi-Fuzzy questionnaire was designed based on the results obtained from the first stage. In the third stage, the criteria of strengths, weaknesses, opportunities and threats of entrepreneurship of AC were analyzed based on the pairwise comparison (quantitative method) by the sample using a fuzzy hierarchical analysis process (FHAP). In the fourth stage, presented strategies were ranked based on pairwise comparison using FHAP.

From the analysis of weaknesses, strengths, opportunities and threats facing AC for entrepreneurship, 12 strategies were presented in 4 groups of aggressive, conservative, competitive and defensive.

The literature review showed that no research has been done so far to identify strengths, weaknesses, opportunities and threats facing university entrepreneurship, especially AC. So the present study analyzes the weaknesses, strengths, opportunities and threats and proposes practical strategies for moving toward the formation of entrepreneurship AC. According to the gaps in providing SWOT of the AC, the results of this research can pave the way for policy makers and planners in this field.

This study examines how the World Para Snow Sports Championship 2021 was leveraged to create para sport outcomes. The purpose of this study is to add to the knowledge of how different organisations can create positive para sport legacies from elite para sport events.

This qualitative case study used interviews with representatives from key stakeholders and archival materials as main sources. An event leverage model was used to better understand the context, structures, and resources relevant to the development of para sport outcomes.

The main findings show how a variety of organisations set goals and implemented strategies to create para sport legacies. While the short-term increase in para sport participation remained rather limited, the new infrastructure, new para sport policies, and increased awareness of para sport were the main para sport legacy outcomes.

The main contribution of this study is empirical knowledge on how different organisations can leverage a para sport event to create legacies for para sport. Future research can examine the perspectives of additional groups, such as other athletes, spectators, and people with disabilities.

For organisations involved in para sport, this study shows the opportunities and challenges of using a sport event to recruit new para sport participants.

While there are some studies on the legacy outcomes of the Paralympic Games, this study focuses on a different para sport event and adopts the leverage perspective.

Interlocking directorates are a common phenomenon across several markets around the world. Yet, the institutional environment and the role of corporate elites in forming board networks promote some developing markets as a unique setting to understand the corporate boards network structure. This study aims to first explore the board directors’ network of all publicly listed companies in Kuwait. This paper then evaluates the effects of exogenous factors and endogenous network structural processes on the likelihood of board interlock.

This study analyzes the interlocks network structures of 167 listed companies in 13 different market sectors in Kuwait relying on hand-collected directors’ data and using four measures of network centrality: betweenness, degree, closeness and eigenvector. The authors predict board interlocks using exponential random graph models (ERGM) and firm-level information from the Bloomberg database.

This study observes that both the firms and directors’ networks consist of 55 components, with the largest component containing about half of the total number of firms/directors. The firm’s network consists of one giant component of 85 firms, including all but one bank. This study shows the importance of endogenous network variables, such as the number of edges, centralization and triangles on the estimation of the factors that promote the board interlocks. Highly centralized firms are less likely to interlock with other firms, while two firms that are interlocked with a common third firm are more likely to interlock.

This paper is the first to analyze in-depth the structure of the directors network of companies in Kuwait. This study illustrates the complex map of interfirm and directors social networks in Kuwait. To the best of the authors’ knowledge, this study is among the first to exploit ERGM in the context of board interlocks to account for potential cross-dependencies and emergent network structures. Managers can identify the director interlock with other firms in the network and take advantage of the connection as a source of external knowledge and influence.

This paper aims to analyze the ethical responses of the fashion industry to the first wave of the COVID-19 pandemic when the entire world was shocked by the rapid spread of the virus. The authors describe lessons from emergency ethics of care in the fashion industry during the initial months of COVID-19, which can assist fashion managers in improving ethical decisions in future operations.

Rapid qualitative research methods were employed by conducting real-time, in-depth interviews with key informants from multinational fashion companies operating in Spain, a severely affected region. A content analysis of news articles published during the first months of 2020 was conducted.

Five critical disruptions in the fashion industry were identified: (1) changes in public needs, (2) transportation and distribution backlogs, (3) defective and counterfeit supplies, (4) stakeholder relationships at stake and (5) managers' coping challenges. Additionally, five business survival responses with a strong ethics of care component were identified, implemented by some fashion companies to mitigate the damage: (1) adapting production for public well-being, (2) enhancing the flexibility of logistic networks, (3) emphasizing quality and innovation, (4) reinventing stakeholder collaborations and (5) practicing responsible leadership.

Despite the well-documented controversies surrounding unethical practices within the fashion industry, even during COVID-19, our findings inform managers of the potential and capability of fashion companies to operate more responsibly. The lessons learned can guide fashion companies' operations in a post-pandemic society. Furthermore, they can address other grand challenges, such as natural disasters, geopolitical conflicts and climate change.