Publicações

Research on organizational citizenship behavior (OCB) has been based on Western developed economies’ samples (or specific Eastern countries such as China and Saudi Arabia), lacking attention to developing contexts (Latin America). Even though OCBs’ antecedents in the Global North context have been thoroughly explored, Corporate Social Responsibility’s (CSR) perceptions and organizational commitment’s (OC) roles are “under-studied” in such developing contexts. This study aims to respond to the call for research on the behavioral perspective on CSR in Latin America, challenging implicit assumptions of theories developed in Western developed countries, related to the employees’ CSR perceptions and OC and OCB research.

Design/methodology/approach

In a postpositivist approach, the authors tested whether CSR and OC directly affect OCB, exploring OCB’s five dimensions – altruism, courtesy, consciousness, civic virtue and sportsmanship, with a main hypothesis that CSR and OC directly affect OCBs. The sample comprises responses from 1,059 employees from public and private Higher Education Institutions (HEIs) in Brazil – the largest economy in Latin America, yet a collectivistic society developing country, in which OCB phenomena is still underexplored or done to a lesser extent.

Findings

Whenever positively perceiving their organizations’ CSR activities, employees identify strongly with the organization, influencing positive job outcomes such as OC and OCBs. Findings indicate that despite not perfectly fitting non-North American contexts, the OCB five-dimension structure is positively related to employees’ CSR perception, confirming OC’s stronger role in the Brazilian context. Indeed, findings confirm OC’s influence over all OCB dimensions, re-stating it as a stronger predictor of behaviors like consciousness (compliance), civic virtue and sportsmanship.

Originality/value

This research accepted the challenge of bringing OC back to OCB research. Indeed, seminal work had implied OC as a robust and significant predictor of the OCB, yet in Western developed economies. The scarcity of research on the matter in developing collectivist economies such as Brazil, justifies this study’s novelty and appropriateness.

Research on corporate bankruptcy prediction has garnered renewed interest due to economic crises and regulatory changes. Most studies focus on large enterprises, leaving a gap in understanding bankruptcy prediction in small and medium-sized enterprises (SMEs). This study carries out a systematic literature review to examine the evolution of this topic, focusing on SMEs. Using a structured methodology based on PRISMA, we analysed 541 academic papers, categorising them into two groups: (i) SMEs and (ii) non-SMEs. Our findings reveal key distinctions between the two groups, particularly regarding the definition of bankruptcy, financial and non-financial predictive factors, and the types of models applied. While statistical models, such as logistic regression and discriminant analysis, remain dominant in SME-focused research, artificial intelligence-based techniques are gaining traction. The study also identifies a lack of comparative studies assessing model effectiveness for SMEs across different economic contexts. Based on these insights, we propose a framework to enhance future research in corporate bankruptcy prediction, emphasising the need for models that integrate macroeconomic variables, governance factors, and alternative risk assessment techniques tailored to SMEs. Our findings contribute to bridging the gap between theory and empirical research, offering practical implications for financial institutions, auditors, policymakers, and SME managers in mitigating bankruptcy risks.

The housing configuration in a given area generally reflects similarities in terms of structural, location and neighborhood characteristics, indicating the formation of distinct housing sub-markets. This paper aims to identify the existence and evolution of housing sub-markets in the municipality of Oporto in 2019 and 2022. These sub-markets were identified with the help of the recent methodology of hierarchical cluster analysis with contiguity restrictions. Whereas traditional clustering techniques have long been used in market segmentation studies, those studies tend to incorporate location/neighborhood restrictions in an ad hoc form. Contiguity restricted cluster analysis addresses this issue directly. Results identified three well-defined and relatively stable sub-markets. Their delimitation, complemented by an analysis of the characteristics that define them, provides valuable information for homeowners, municipalities, lenders, and real estate investors and developers.

This paper examines the value creation of Iberian transnational corporations (TNCs) from 2013 to 2023, focusing on the impact of geoeconomic fragmentation. Using data from 7,040 TNCs, we find that total shareholder returns (TSR) exhibited variability, driven by macroeconomic recoveries and geopolitical disruptions, with differences between Portuguese and Spanish firms. Lower geoeconomic risk is associated with higher TSR, emphasizing the importance of stable environments for multinational corporations. Additionally, firms with negatively skewed stock returns show higher corporate value as investors demand lower expected returns, particularly for firms not at extreme skewness levels. Our findings highlight the role of risk management and diversification strategies in enhancing firm performance when experiencing geoeconomic challenges. Results provide insights for corporate leaders, investors, and policymakers on the effects of global fragmentation on TNCs’ performance. Our results are robust to alternative models and variable specifications.

The digital revolution has fundamentally transformed the banking sector, reshaping customer interactions and intensifying competitive dynamics across economic landscapes. This research investigates customer satisfaction, trust, and loyalty in the Portuguese banking market through a comprehensive longitudinal study spanning four critical years: 2013, 2019, and 2023. The study reveals customer trust as a determinant of satisfaction and loyalty while simultaneously highlighting a significant decline in trust in the banking sector. This erosion can be attributed to two primary factors: the lasting impact of the 2008 global economic crisis and the ongoing transition to digital banking platforms. As banks progressively replace traditional face-to-face services with digital interfaces, customer satisfaction and loyalty have experienced a notable downturn. The research demonstrates that technological advancements, while offering increased efficiency, simultaneously risk undermining the fundamental interpersonal relationships that historically characterized banking experiences. The Portuguese banking landscape presents a critical case study of these broader transformative challenges. Intensified competition and diminishing customer trust demand proactive strategic responses. The findings underscore the imperative for banks to reimagine their customer interaction strategies. Success in the digital age requires a delicate balance between technological innovation and maintaining genuine human connections. Banks must invest in creating digital experiences that are not merely transactional but deeply responsive to customer needs and expectations. This research contributes to understanding the complex dynamics of digital transformation in banking, highlighting the critical importance of trust as a strategic asset in an increasingly competitive and technology-driven financial environment.