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Human capital flight from Nigeria to developed countries has remained a topical issue. This paper aims to empirically analyze the push factors for the migrants who explore the various legal migrant schemes from a macro perspective. The authors examine human capital development and its role in contributing to human capital flight to more developed counties.

This paper is anchored on the push–pull model. Using secondary data from 1990 to 2019, the authors look at the relationship between human capital flight and variables such as life expectancy, infant mortality rate, population growth rate and Nigeria’s unemployment rate. The auto-regressive lag model (ARDL) was adopted to estimate the empirical relationship among these variables.

The results from the ARDL model suggest a positive relationship exists between population growth rate and migration rate. A negative relationship was, however, observed between life expectancy and migration rate. This study also found that an increase in the infant mortality rate negatively impacted migration significantly. Therefore, an increase in infant mortality rate lowered the migration rate. Finally, an increase in the unemployment rate increased migration; however, insignificantly.

The findings from this study are limited to the push factors influencing migration out of Nigeria. These factors are also restricted to variables for which data can be derived under the study’s scope. The results of this study have far-reaching implications, especially for policymakers and citizens alike. Better human capital development through enhanced life expectancy and reduced population in Nigeria will reduce the migration rate. Therefore, this study calls for the doubling of developmental and infrastructural efforts at all levels of governance.

This paper’s importance lies in its ability to elucidate push factors that influenced migration out of Nigeria empirically. An empirical approach to the subject matter will explain these factors and the degree to which they influence migration. This will guide the policy-making process in curbing brain drain, which is a major challenge in Nigeria.

This paper examines the interaction of human capital and CRM on the performance of SMEs in Yemen.

The study used a quantitative approach in investigating the interacting effect of human capital on the relationship between CRM and SMEs' performance in Yemen. The PLS-SEM analysis was performed to test the hypotheses.

It was observed that key customer focus, technology-based CRM and CRM knowledge management were effective drivers of SME performance, but not CRM organization tools. It was also ascertained that human capital has no moderating effect on the key customer focus and knowledge management relationships with performance, although it does moderate the relationships between performance and CRM organization and technology-based CRM respectively.

Because this study is limited to manufacturing SMEs in Yemen, the results cannot be generalized to other types of industry such as services, whose structure and vision differ from those of manufacturing SMEs. While the current results may be appropriate for SMEs in other developing countries, the researcher believes they are unsuitable for SMEs in advanced economies with different financial structures and employee and management cultures.

The empirical insights of this study are valuable for the owners, managers and professionals in the SMEs manufacturing sector in developing countries, to enrich their organizational performance through CRM adoption, while considering the moderating effect of human capital.

This is the first empirical work to confirm way the main drivers of human capital, including in the analysis the impact of CRM dimensions and SME performance, in the context of the manufacturing sector. In support of an original conceptual model, the insights contribute to the literature on CRM, SMEs in the manufacturing sector, human capital and emerging economies.

This paper expounds theoretical reasons behind and practical applications of urban natural space as part of the ontological whole of the city.

In this paper, nonsecular and secular relationships between humans and nature are explored from an ontological perspective.

The characteristics of the savanna hypothesis are shown to be tectonic elements that have been used historically in human-defined landscapes and can be implemented in urban planning and design to enhance urban green spaces and improve the overall quality of urban life.

The human–nature relationship has morphed and adapted as civilizations and their belief systems have grown and fallen aside. The human–nature relationship has affected the form of cities while human development and technological advancements have affected nature’s representation in the urban realm. Throughout the periods of nonsecular affection for nature and secular applications of nature, one theme has persisted: human innate preference for certain arrangements of certain natural elements. Though existing long before the first human settlements were formed, the savanna hypothesis was not coined until the 20th century.

Ultimately, the savanna hypothesis is exhibited as a joining concept that connects nonsecular affection for nature to secular qualities of urban nature and natural infrastructure.

The purpose of this paper is to examine the effect of state fragility on select indicators of human development and identify aspects of state fragility that have the greatest impact on poverty reduction and sustainable development. The paper also explores the impact of social cohesion on human development as well as the mediating role of state legitimacy in mediating the relationship between social cohesion and human development.

The study is based on data from 180 countries and uses ordinary least squares regression and mediation analysis to explore the effects of social cohesion on human development.

The findings show a significant relationship between state fragility and human development. It suggests that policies and efforts aimed at enhancing social cohesion would have the most significant impact on human development. The findings also show that social cohesion not only has a direct effect on human development but it also has an indirect effect on human development through state legitimacy (mediator).

Even though state fragility has been largely associated with low income countries, different facets of fragility are manifested in various countries regardless of levels of economic development.

The study is timely in view of the evidence of increasing state fragility in many countries. Furthermore, this is the first scholarly work linking lack of social cohesion, state fragility and human development.

This paper aims to explore theme park visitors’ attitudes toward interacting with robots and investigated the qualities and functions of robotic servers and their influence on customers’ loyalty. A structural equation modeling approach was used to identify the complex relationships among variables in the entire network.

An online survey randomly assigned respondents to four different robotic server scenarios with robots that look like humans, animals, cartoon characters and anime features. The influence of robot types was investigated by manipulating robot type with four different pictures; however, the data were analyzed with a structural equation modeling model to identify the complex relationships rather than one-way analysis of variance to identify influences of robot types on different variables in separate analyzes.

The data collected from the 385 experienced theme park visitors revealed that perception of robots with human orientation and safety qualities had the strongest effect on the perceived robotic functionality, while emotions and co-creation qualities hardly had any effect on the perceived functionality, which included utilitarian rather than experiential functions such as excitement. Human orientation qualities, regardless of the specific robotic design, had a significant impact on perceived robotic functionality. The study also revealed a strong positive influence of perceived robotic functionality on customer loyalty.

The debate of whether or not to introduce and blend the growing robotic technology into the theme park experience is in its infancy. The study contributes to the theory of how robotics qualities and functions can augment customer loyalty.

Besides small- and medium-sized enterprises' (SMEs) constraints, there is a lack of critical observations of the human capital model naturally inspiring themselves from within. Therefore this paper exposes the factors of emotional intelligence (EI) that make entrepreneurs gain sustainable competitiveness.

A data of self-administered survey from 397 SMEs in Malaysia was investigated using regression analysis.

The results reveal factors of EI comprised of self-confidence, self-innovation, self-inspiration and self-vision that have significant positive impacts on entrepreneurial performance. Amazingly, EI contributes almost 30% of the success, where self-vision and self-innovation are the robust EI to strengthen and sustain entrepreneurial performance. In contrast, self-confidence and self-inspiration are generic EI of human capital and easy to be applied by rivals.

The study provides a comparative benchmark model for SMEs, managers and entrepreneurs inspiring themselves from within that they can emulate and attain the same success. SMEs can obtain success by investing and culturing EI factors within themselves.

The study provides a comparative benchmark model for SMEs and managers inspiring themselves from within and expands the theory of heterogeneous SMEs and the human capital to sustainable business and competitiveness. SMEs can obtain success through capitalizing human capital attributes within themselves.

The study is the first providing the viable model for SMEs or entrepreneurs leading themselves from within, to their action, behaviour, decision and achievement or the performance mechanism with a benchmark model of entrepreneur EI as a booster.

The human capital of a leader and the human capital of the employees who work for the leader can impact the bonus earned by the leader. Little to no research has examined data that includes the maximum potential bonus that could be earned by a leader and the actual bonus earned. This information provides a closer examination of leader performance and the impacts of leader and employee human capital on the bonus earned by the leader.

The authors use a sample of NCAA college football teams and head coaches over two years to test their hypotheses. They measure the human capital of the team and the human capital of the head coach. In addition, the authors assess the percentage earned by the head coach of the maximum potential bonus possible.

The authors find that a coach's human capital and the human capital of their team positively and significantly predict the percentage of the maximum possible bonus earned by the head coach.

The results of this study indicate the importance of leader human capital to a leader's ability to earn more of their maximum potential bonus. Additionally, if a leader is able to surround himself or herself with highly talented employees, it will benefit the leader in terms of the amount of bonus earned.

This study extends previous research to provide a more complete picture of factors that influence a leader's ability to earn more of their maximum possible bonus. The authors’ findings that both the human capital of the leader and the human capital of employees who work for the leader impact the amount of bonus earned by the leader add value to human resource management research. Specifically, when examining factors that impact a leader's bonus earnings, it is important to consider not only characteristics of the leader but also factors apart from the leader, such as the leader's employees.

The purpose of this paper is to examine whether income diversification moderates the relationship between human capital and bank performance.

The study uses a sample of 53 banks and panel data for the years 2010–2018. The hypotheses are tested through hierarchical multiple regression and the choice between fixed effect and random effect estimation is based on the results of the Hausman test.

The study finds that human capital and income diversification significantly influence bank performance; however, the direction of the causality varies. While human capital has a positive effect, income diversification has a negative effect. Additionally, the interaction term has a negative and significant effect on bank performance, inferring that income diversification has an antagonistic effect on the human capital and bank performance relationship. For the control variable, liquidity and asset quality negatively affects bank performance while capitalization has a positive effect.

Human capital was measured as human capital efficiency (HCE), which is a quantitative measure of human capital, hence future studies can use qualitative measures. Also, the study focused on commercial banks in East Africa, future researcher may possibly consider other regions and industries, which would shed more insights.

The results of this paper provide valuable insights. Bank managers can get a better understanding of the impact of human capital on bank performance, and the need to invest more in human capital development. Further, the study cautions bank managers that engaging in non-lending activities might destroy the economic value of human capital and ultimately lower performance. The study also recommends that policymakers should address the obstacles to banks' income diversification, for instance relaxing regulations restricting diversification; this might enable banks to leverage related financial service activities for optimal utilization of human capital and improve banks' profitability.

While a good number of previous studies investigated the direct effect of human capital and income diversification on the performance of banks, this study examines the moderating role of income diversification on the relationship between human capital and performance of banks in East Africa.

The purpose of this study is to examine the impact of globalization and its multiple dimensions on human rights in Sub-Saharan Africa.

The study extends the Poe and Tate (1994) model, which enumerates the various determinants of human rights. Ordered probit estimation is used to estimate the impact of globalization and its dimensions. For the purpose of empirical analysis, the period has been divided into three phases: short, medium and long term. This helps in understanding how the impact of the different dimensions of globalization has evolved over a period of time. Furthermore, analysis has been carried out to detect causality between human rights and globalization.

As per the results, overall globalization and social dimension of globalization do have a positive impact on human rights in long and medium term and, also, Granger-cause human rights. The political dimension of globalization has a positive relation with human rights, though there exists no causality between the two. On the other hand, the economic dimension of globalization fails to have a statistically significant impact on human rights. Impact of the social dimension of globalization dominates that of other dimensions of globalization.

This is one of the few studies that examine, in an empirical fashion, the impact of globalization on human rights in Sub-Saharan Africa.