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The purpose of this paper is to examine the effectiveness of an emotional intelligence (EI) and leadership development education program involving 20 nurse leaders at nursing homes. Also, it investigates the relationship between EI and transformational leadership.

Three research questions are posed. Correlation analysis and t-tests were conducted to answer the questions posed.

The findings of this paper indicate that the EI educational development was effective, while the personal leadership development was not. The data also showed a positive significant relationship between EI and transformational leadership.

This paper is limited by the small sample size; thus, a causal relationship between EI and leadership could not be investigated. Additionally, the sample was not randomly selected because of the commitment needed from the participants. Furthermore, the paper was focused on nurse leaders in nursing homes, so it may not be generalizable to other populations.

With the increasing need for nursing home facilities and the limited training generally provided to nurses who move into managerial roles in these facilities, it is critical for organizations to understand the effectiveness of educational programs that exist. Moreover, the findings of this paper may provide information that would be useful to others who wish to develop EI and/or leadership education for nurses.

While much research exists on EI and transformational leadership, little of this research focuses on nurses in nursing home facilities. Thus, this paper fills a gap in the literature.

This study aims to investigate the role of board gender diversity in explaining the effects of board members’ political connections on banking performance in the Eurozone.

This paper analyses panel data on 83 banks supervised by the European Central Bank (ECB) for the period 2013–2017, using a generalized moment method-type estimation methodology.

Results suggest that when gender diversity is high, there is a U-shaped nonlinear relationship between political connections and banking performance. Empirical evidence also indicates that differentiating characteristics of women, such as greater ethical concern and risk aversion, help mitigate the negative effects of political connections on banking performance, safeguarding the institutions’ interests from the adverse effects of personal agendas. In addition, these results also suggest that a minimum of 14% of gender diversity can contribute to greater social justice and beneficial structural change.

The period studied may not yet fully reflect the impact of the assessment of the board members’ suitability.

The paper contributes to the growing literature on political connections and gender diversity, providing greater insight into their role as determinants of banking performance. The study also suggests the benefits and possible limitations of the regulator’s two impositions – gender diversity quotas and members’ repute (members’ political connections).

The effect of gender diversity on the impact of board members’ political connections on banking performance has not been studied, as these relationships have not been analysed separately for banks directly supervised by the ECB.

This paper aims to study the determinants of the sovereign debt ratings provided by the 3 main rating agencies for 32 European countries. It verifies the clusters of countries existing for each of the agencies, considering regional bias, and then analyzes whether the determinants were different before and after the global financial crisis. It also aims to explain how the determinants are taken into account for rich and developing countries, using a sample for the period between 2001 and 2008 and the period between 2009 and 2016.

To this purpose, this paper performs panel data estimation using an ordered Probit approach.

This method shows that for developing countries after the crisis, the relevant explanatory variables are the unemployment rate and the presence in the Eurozone. For rich countries, the inflation rate is pivotal after the crisis period.

This paper is the first to use a clustering methodology within sovereign debt rating literature, grouping the countries into cohesive clusters according to their sovereign debt ratings along with the proposed time frame. Moreover, it explains, which countries belong to strong or weak groups, according to the rating agencies under discussion; and, in these groups, it identifies the sovereign rating determinants.

This study aims to investigate organizational learning, represented by the absorptive capacity, as a condition for the firm to learn about marketing data and make more informed decisions. The authors also aimed to understand how the behavior of micro, small and medium enterprises (MSME) businesses differ in this scenario through a multilevel perspective.

Placing absorptive capacity as a mediator of the relationship between business analytics and rational marketing decisions, the authors analyzed data from 224 Brazilian retail companies using structural equation modeling estimated with partial least squares. To test the cross-level moderation effect, the authors also performed a multilevel analysis in RStudio.

The authors found a partial mediation of the absorptive capacity in the relation between business analytics and rational marketing decisions. The authors also discovered that, in the MSMEs firms’ group, even if smaller companies find it more difficult to use data, those that do may reap more benefits than larger ones. This is due to the influence of size in how firms handle information.

The sample size, despite having shown to be consistent and valid, is considered small for a multilevel study. This suggests that our multilevel results should be viewed as suggestive, rather than conclusive, and subjected to further validation.

Rather than solely positioning business analytics as a tool for decision support, the authors’ analysis highlights the importance for firms to develop the absorptive capacity to enable ongoing acquisition, exploration and management of knowledge.

MSMEs are of economic and social importance to most countries, especially developing ones. This research aimed to improve understanding of how this group of firms could transform knowledge into better decisions. The authors also highlight micro and small firms’ difficulties with the use of marketing data so that they can have more effective practices.

The research contributes to the understanding of organizational mechanisms to absorb and learn from the vast amount of current marketing information. Recognizing the relevance of MSMEs, a preliminary multilevel analysis was also conducted to comprehend differences within this group.

The objective of this study is to review the main studies of social entrepreneurship (SE) in Latin America, to categorize them into four categories. To accomplish this, a bibliometric literature review is carried out based on data from the Web of Science database, to locate the Latin American collection of studies. In this way, the main studies are described and grouped, following a qualitative scheme that allows to substantiate the main findings of the Latin authors. Consequently, the progress made in the literature of the SE for Latin America is corroborated, by visualizing that the SE turns out to be a forceful fact to manage well-being, but that it is faced with an inconsistent development.

This paper aims to analyse the capital structure determining factors of Latin American and US corporations after the crisis of 2008, as a means of comparing theoretical assumptions and empirical results in markets of different efficiency levels.

The study sample comprises 1,091 companies belonging to the six largest economies in Latin America plus the USA, in the years 2009 to 2013. The authors performed a regression with data from a balanced overview, which were obtained by using the criterion of minimum weighted square.

The results demonstrated differences in determining factors of capital structure between companies from Latin America and from the USA. The pecking order theory was mostly observed in Latin American companies and the trade-off theory greater was closely aligned with US firms.

This research brings new contributions to the issue, once the differences and determinative of the debt profile in companies from different economic contexts are compared.

Este artículo analiza los factores determinantes de la estructura de capital de las corporaciones latinoamericanas y estadounidenses después de la crisis de 2008, para comparar los supuestos teóricos y los resultados empíricos en mercados de diferentes niveles de eficiencia.

La muestra del estudio comprende 1.091 empresas pertenecientes a las seis mayores economías de América Latina y Estados Unidos, entre los años 2009 y 2013. Se realizó una regresión con datos de una visión general equilibrada, que se obtuvo utilizando el criterio de cuadrado mínimo ponderado.

Los resultados muestran diferencias en los factores determinantes de la estructura de capital entre empresas de América Latina y de Estados Unidos. La Teoría de la selección jerárquica se observó principalmente en las empresas latinoamericanas y la Teoría del intercambio más cercana estaba estrechamente alineada con las firmas estadounidenses.

Esta investigación aporta nuevas contribuciones al tema, una vez que comparamos las diferencias y determinantes del perfil de la deuda en empresas de diferentes contextos económicos.

Endeudamiento, Intercambio, Asimetría de información, Selección jerárquica, Regresión agrupada

Artículo de investigación

This paper analyzes the available literature on export spillovers from foreign direct investment (FDI) and their effects on domestic firms’ export activities. The purpose of this paper is to advance our knowledge of whether export spillovers from FDI exist, and if so if they differ according to the institutional context of the targeted markets (developed vs emerging markets).

Drawing from the pioneering work of Aitken et al. (1997), the authors develop a meta-analysis using a selection of 73 studies for the period 1997–2018, including a wide range of developed and emerging markets.

The meta-analysis confirms a high probability of finding positive effects when studying the different types of spillovers. The authors also show that the type of export spillover depends on the institutional context. Spillovers drive a complementary effect which generates more direct commercial links between domestic firms and foreign multinationals for advanced economies, whereas for emerging markets the nature of the spillover generates a competition/imitation effect that pressures domestic firms to be better inserted into foreign markets. In emerging markets, local governments play a fundamental role in accompanying the local industry, not only with investments in infrastructure and training of human capital but also in the configuration of an institutional environment that favors this type of indirect linkages. In developed countries, two business strategies are particularly important as catalytic axes of competitive upgrading at the international level: cooperation agreements between domestic and foreign firms and integration. These processes of concentration are necessary to compete globally, and therefore, governments should promote this type of strategies.

The study offers an original classification of the different types of spillovers based on the different channels through which MNE help local firms to improve their export performance and shows which specific spillover is associated with the different level of country development. These results have important implications in terms of theory development and managerial and policy implications.

The purpose of this paper is to analyse how the nutritional traffic light can reduce consumers’ intention to purchase unhealthy food by eliciting negative emotions (i.e. fear and guilt). The work also examines the moderating role of income in the above-mentioned relationships.

The empirical study was conducted in Ecuador. In an initial phase, exploratory research was carried out with two focus groups. Then a quasi-experiment was conducted with 330 participants following a 3×2 design, in which the nutritional traffic light for a dairy product (green, yellow, red) and the variable income (high and low income) were manipulated.

Traffic light colours (red, yellow and green) significantly influence consumers’ levels of fear and guilt as well as their intention to purchase. Income has also been found to have a moderating effect on the above relationships.

Further understanding of how nutritional labels influence consumer behaviour may have beneficial effects for public authorities attempting to improve citizens’ health and for society as a whole. It may also help firms that produce and market packaged foods to be aware of what type of foods new consumers want and adapt their offering in consequence.

The main contribution of this work is the analysis of the influence of the nutritional traffic light on emotions, namely, fear and guilt and how these emotions lead consumers to control their consumption of unhealthy foods. In addition, the present work proposes the moderating effect of income on the influence of colour on emotions and purchase intention.