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As a consequence of global changes, the landscape of immigration is changing. This brings opportunities for researching more nuanced aspects related to immigrant entrepreneurship in new contexts. The purpose of this paper is to establish the extent to which Africa-to-African immigrants leverage their social capital and human capital towards improving the success of their entrepreneurial ventures.

First-generation immigrant entrepreneurs within the Johannesburg area in South Africa were surveyed (n = 230). Instrument validity and reliability was first established, and then the hypotheses were tested using multiple regression analyses.

Hypotheses are supported insofar African immigrant entrepreneurs in South Africa rely on their structural and resource-related dimensions of social capital to achieve entrepreneurial success. Furthermore, human capital in terms of both work experience and entrepreneurial experience was found to be a significant predictor of entrepreneurial success.

There is value in developing policies that promote African immigrant entrepreneurs with higher levels of human and social capital. These African immigrants have the potential to increase the national skills base and knowledge required for successful entrepreneurship development in South Africa.

While both human capital and social capital have been associated significantly with the generic entrepreneurship literature, this paper provides an empirical contribution by focusing on the relevance of these constructs in the context of immigrant entrepreneurship from an African emerging market perspective.

The primary objective of this study is to investigate the association between the dimensions of intellectual capital (IC) and sustainability practices (SP) within the context of manufacturing medium and large (ML) firms in Uganda. The study aims to shed light on whether and how different dimensions of IC contribute to the adoption and implementation of SP by these firms.

This study utilized a cross-sectional and quantitative approach, collecting data through a questionnaire survey from a sample of manufacturing ML firms. The collected data underwent analysis to identify patterns and relationships using the SmartPLS structural equation modeling (SEM) technique.

The findings demonstrated that the three categories of IC (human, structural and relational capital) influence the SP of ML manufacturing enterprises in Uganda. This suggests that IC is a critical component of SP.

Manufacturing enterprises should use their IC to create strategies for sustainable solutions, such as creating new, ecologically and socially responsible products and services and improving current ones to lessen their environmental effect.

This research advances knowledge of SP by revealing if all aspects of IC are significant for the SP of manufacturing enterprises in Uganda.

This paper attempts to evaluate the impact of intellectual capital on bank performance in Bangladesh.

The authors analyze an unbalanced longitudinal data of 32 banks, which cover 318 observations of bank-year from 2010 to 2019. The study employs a dynamic panel model with the two-step system generalized methods of moments (SGMM).

The results show that bank performance is significantly positively affected by the intellectual capital (IC) in Bangladesh. In addition, the findings show that capital employed efficiency (CEE) is an essential determinant of bank performance rather than structural capital efficiency (SCE) and human capital efficiency (HCE) for the Bangladeshi banking sector.

This work is unique as no one has explored the impact of intellectual capital on Bangladesh's bank performance. The findings suggest that business owners, managers and policymakers who want to improve the efficiency of their organizations should spend continuously on IC and expand their investment into CEE, which includes both financial and physical resources, in order to obtain better bank performance.

This article presents the case for creating stronger connections between research on graduate and worker employability. We offer a narrative review of commonalities and differences between these research streams and offer thoughts and suggestions for further integration and mutual learning.

We outline some of the main theories and concepts in the graduate and worker employability domains. Furthermore, we analyze how these show considerable overlap, though they have barely connected with each other yet. We also formulate an agenda for future research that would spur stronger connections between the fields. Finally, we turn to our fellow authors, reviewers, and editors to encourage a more open approach to each other's work that would enable more cross-fertilization of knowledge.

We hope our narrative review, critical analysis and future research suggestions will lead to more collaborations and mutual learning among employability researchers in the educational, career and psychology areas.

This article develops an innovative multidisciplinary conceptual framework in the field of refugee entrepreneurship by combining the theory of mixed embeddedness with the concepts of intersectionality and agency. Focusing on the phenomenon of refugee entrepreneurship, this conceptual framework addresses the following questions: how is entrepreneurship informed by the various intersectional positions of refugees? And how do refugees exert their agency based on these intersecting identities?

By revising the mixed embeddedness approach and combining it with an intersectional approach, this study aims to develop a multidimensional conceptual framework.

This research illustrates how the intersectional positions of refugees impact their entrepreneurial motivations, resources and strategies. The authors' findings show that refugee entrepreneurship not only contributes to the economic independence of refugees in new societies but also creates opportunities for refugees to exert their agency.

This conceptual framework can be applied in empirical research and accordingly contributes to refugee entrepreneurship studies and intersectionality theory.

This paper aims to depart from the premise that human capital investments and human capital outcomes are often tacit – an aspect, which is often neglected in the current literature on entrepreneurial human capital. The idea of this conceptual paper is to shed light on the social process of how human capital investments and human capital outcomes can be valued and made visible through the validation of prior learning. Thus, this study conceptualises the validation of prior learning as a post hoc, the reflective process through which an aspiring entrepreneur is guided.

This paper is conceptual and introduces a process model.

Findings indicate that the process of the validation of prior learning is well-suitable to inform aspiring entrepreneurs of their investments into human capital and their human capital outcomes. The process results in a (partial) certified qualification that provides entrepreneurial legitimacy.

Thus far, the model is conceptual and should be validated via interviews and further empirical studies in the field.

Literature in the field of entrepreneurial human capital suggests that human capital outcomes are more important for success than inputs. Furthermore, context-specific knowledge, skills and abilities are more important than generalised outcomes. These findings have implications for the design of validation procedures.

Human capital has only been recently conceptualised as consisting of human capital investments and outcomes of human capital investment. However, thus far the literature falls short in acknowledging the tacit nature of human capital investments and human capital outcomes. This paper contributes a structured process of how human capital investments and human capital outcomes are linked and assessed. In so doing, this study extends a recent model of human capital investments and outputs (Marvel et al., 2016, p. 616).

In the new development stage of comprehensively building a socialist modern state, it is imperative to adhere to the guidance of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, comprehensively summarize China's practical experiences in economic development, strengthen research on capital issues, construct theories of socialist political economy with Chinese characteristics regarding capital and provide scientific theoretical guidance for further promoting the positive role of various types of capital while preventing and overcoming their negative effects, which is a major theoretical issue and a glorious task for the theoretical and economic circles in China.

From the perspective of Marx's theory on capital and historical development, modern capital represents the organizational mode of socialized mass production and market economy. It serves as both the economic foundation of bourgeois society and a tool for socialist economic development.

The market economy represents an inevitable historical stage and form of socialist economic development, necessitating the adoption of capital as an organizational form within socialist economies.

The utilization of capital to advance a socialist economy is a remarkable achievement by the CPC and Chinese people, representing a significant innovation in both theory and practice. The role of capital is inherently dual under any social condition. In the context of a socialist system, capital can play a positive role effectively, and its behavior can be guided and regulated correctly to curb its negative or even destructive impact.

With new hybrid working models in place post COVID-19, it is requisite that knowledge workers (KWs) stay agile. Knowledge-oriented leadership (KOL) can help employees with essential knowledge acquisition (KA) facilitating the journey toward hybrid work agility (HWA). This study, thus, aims to explore the impact of KOL and KA on HWA and reveal whether this effect stems uniformly from a single homogenous population or if there is unobserved heterogeneity leading to identifiable segments of agile KWs.

Data was collected through stratified sampling from 416 employees from 20 information technology enabled services companies involved in knowledge-intensive tasks. Partial least squares (PLS) structural equation modeling approach, using SMART PLS 4.0, has been applied to examine the effect of KOL and KA on HWA. Finite mixture PLS, PLS prediction-oriented segmentation and multigroup analysis have been used to identify segments, test segment-specific path models and analyze the significance of the differences in the path coefficients for unobserved heterogeneity. Predictive relevance of the model has been determined using PLS Predict.

Results indicate that KOL contributes to employees’ KA and HWA. A significant positive relationship is also reported between KA and HWA. The model has medium predictive relevance. A two-segment solution has been delineated, wherein independent agile KWs (who value autonomy and personal agency over leadership for KA) and dependent agile KWs (who depend on leaders for relational and structural support for KA) have been identified. Thus, KOL and KA play a differential role in determining HWA.

The authors’ major contribution to the knowledge body constitutes the determination of antecedents of HWA and a typology of agile KWs. Future researchers may conduct segment-wise qualitative analysis to delineate other variables that contribute to HWA.

Technological advances necessitate that knowledge-intensive industries foster agility in employees for strategic agility of the organization. For effecting agile adaption of an organization to the knowledge economy conditions, it is pertinent that the full potential of this human resource be used. By profiling HWA of KWs on the basis of dimensions of KOL and the level of their KA, organizations will be able to help employees adapt better to rapidly changing work conditions.

HWA is a novel concept and very germane in a hybrid working environment. To the best of the authors’ knowledge, this is the first study to examine the effects of the dimensions of KOL and KA in relation to HWA, along with an empirical examination of unobserved heterogeneity in the aforementioned relationship.

The purpose of this paper is to examine key macroeconomic determinants on Cameroon's economic growth from 1970 to 2018.

Data were obtained from the World Development Indicators and applied on time series data econometric techniques. The auto-regressive distributed lag (ARDL) bounds model analyzed the data since the variables had different order of integration.

The results showed long and short runs’ positive and significant connection between economic growth in Cameroon and government expenditure; trade openness, gross capital formation and exchange rate. Human capital development, foreign aid, money supply, inflation and foreign direct investment negatively and significantly affected economic growth in the short and long-runs. Hence, the macroeconomic indicators are not death.

The present research paper has tried to capture the impact of nine macroeconomic determinants on economic growth such as the government expenditure (LNGOVEXP), human capital development (LNHCD), foreign aids (AID), trade openness (LNTOP), foreign direct investment (LNFDI), gross capital formation (INVEST), broad money (LNM2), official exchange rate (LNEXHRATE) and Inflation (LNINFLA). However, these variables have the tendency to affect each other in a unidirectional or bidirectional manner. Further, the present research paper is unable to capture the impact of other macroeconomic variable due to the unavailability of data.

The study recommends that Cameroon should use proper planning and strategic policy interventions to achieve higher sustainable economic growth with human capital development, foreign aid, money supply, foreign direct investment and moderate inflation.

Macroeconomic indicators, if managed well, increase economic growth.

This paper to the best of the researcher's knowledge presents new background information to both policymakers and researchers on the main macroeconomic determinants using econometric analysis.

Driving economic development at the bottom of the pyramid (BOP) is an enduring global challenge. While the market-based approach places hope on entrepreneurship as a major impetus to drive the underdeveloped economy, the performance of entrepreneurial businesses and their impact on poverty reduction are sometimes below expectations. This paper seeks to examine the factors that may be hindering entrepreneurship within the BOP context. This paper presents preliminary answers and provides research suggestions related to this question.

In order to identify the reasons behind the underperformance of entrepreneurship at the BOP, a comprehensive literature review was conducted to see what is already known about this puzzle.

By reviewing extant literature, four clusters of factors were found to shape entrepreneurial activities at BOP: (1) Individual-level factors may be restraining entrepreneurial activities within BOP context, (2) gender inequality at BOP is hindering female entrepreneurship, (3) insufficient institutional support is holding back entrepreneurial activities in BOP and (4) business development initiatives are making multi-faceted impacts on entrepreneurial activities in BOP.

This paper contributes to theory in that it is the first comprehensive review of literature on constraints of entrepreneurship in the context of BOP. In investigating influential factors of entrepreneurial success in the BOP context, the authors recognize four major influential forces that are shaping entrepreneurial processes at the bottom of the pyramid and further propose three directions of future research that are worthy for further exploration.