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This study aims to explore the human resource management (HRM) practices related to training and feedback in the app work industry, specifically in online food delivery service, and investigate the emotional and behavioral responses of gig workers.

This study adopts a qualitative approach by interviewing 19 gig workers from six food delivery firms operating in different countries.

The results show limited training and feedback opportunities are provided to app workers, although the complexity of training and delivery methods differ across platforms. To address this shortage, app workers developed response strategies relying on social interaction.

This study adds to the research on HRM practices in the gig economy by portraying the way in which training and feedback unfold in the food delivery app ecosystem and by disclosing the gig workers’ emotional and behavioral responses to it.

This study shows that the way training activities are currently designed may provide little value to the ecosystem and are likely to produce negative emotional responses in gig workers. Thus, platform providers may make use of these findings by introducing more transparent feedback and social learning opportunities.

To the best of the authors’ knowledge, this study is among the first empirical studies on online delivery gig workers addressing specific HRM practices. It reveals significant insights for training and feedback, suggesting app economy characteristics strongly affect training and feedback practices for app workers.

First, this study assesses the link between research and development (R&D) expenses and firm efficiency. Second, this study explores how family control moderates the link between the two.

This study uses two measures of time-based firm efficiency, namely, a window slacks-based measure (WSBM) and a window epsilon-based measure (WEBM) of data envelopment analysis (DEA). Then, 216 firm-year observations are analyzed in the Taiwanese cultural and creative industries from 2005 to 2017.

This study finds that R&D expenses significantly worsen firm efficiency, and that family control positively moderates this effect. A further test separating the sample into family-controlled and nonfamily-controlled firms indicates that R&D expenses negatively affect the efficiency of nonfamily-controlled firms but positively affect that of family-controlled firms.

The existing literature has examined the link between R&D expenses and corporate performance. However, the process by which R&D expenses affect corporate performance from a production perspective remains unknown.

Overall, this study provides insights for policymakers to scrutinize resource management and R&D expenses from the production and resource-based perspectives.

This study aims at establishing the moderating role of self-efficacy in the relationship between organisational culture (OC) and organisational commitment in the perspective of institutions of higher learning in a developing country.

A cross-sectional design was used to obtain quantitative data from 572 academic staff in eight universities. The sample was selected following a simple random technique. The study data were analysed using SPSS version 23.

The study findings reveal that OC and self-efficacy influence organisational commitment. Further, self-efficacy moderates the relationship between OC and organisational commitment.

Universities should foster a culture that emphasises collaboration, open communication, inclusion, equity and staff development to increase organisational commitment. In order to build academic staff self-efficacy, universities should provide opportunities for training and development, mentoring, coaching, continuous performance evaluation, and regular feedback to stimulate academic staff's desire to remain committed to the institution. University administrators should look beyond traditional skills and competencies when recruiting future academic staff as their personal beliefs are essential to accelerating organisational commitment.

This study extends the current literature in organisational behaviour and provides a comprehensive understanding of the relationship between OC and organisational commitment using the Competing Values Framework. This study was also conducted in a developing country context, which can always lead to different results than studies conducted in developed countries.

This study aims to examine the association between apprenticeship training and self-employment and how gender moderates the association.

Secondary data from the World Bank’s Skills Towards Employment and Productivity (STEP) survey on Ghana were analysed using a binary choice (logit regression) model. The STEP survey drew its nationally representative sample from the working-age population (15–64 years) in urban areas.

After controlling for several factors identified in the literature as determinants of self-employment, the results indicate that completing apprenticeship training increases the likelihood of being self-employed. However, women who have completed apprenticeship training are more likely to be self-employed than men.

By examining the moderating effect of gender on the association between apprenticeship training and self-employment, this study has offered new evidence that policymakers can use to promote self-employment, especially among women, to reduce the entrepreneurial gap between men and women.

The aim of this study is to analyze the differences between non-standard forms of employment (FoE) (i.e. dependent self-employment/business-to-business/B2B contract and contract of mandate) in terms of investing in the development of future competencies by employees and employers. This study also examined additional factors which influence these investments.

To collect data, the computer-assisted telephone interview technique was used. 200 employees from different companies located in Poland participated in this study, wherein each of the above-mentioned FoEs (i.e. dependent self-employment and contract of mandate) was represented by 100 people. The Chi-Square test and multivariate logistic regression analysis were used in the statistical analyses.

In the case of only 2 out of 14 competencies, there were statistically significant differences between the two groups of respondents: the employers financed training courses for B2B employees more frequently than for mandate contract workers. Moreover, in only one case there was a statistically significant difference: the self-employed financed training courses themselves more often than mandate contract workers. This study revealed an important impact of other variables such as respondents’ age, education level, parental status and industry on the training activities undertaken by employers and employees.

Although the issue of developing future competencies is important, there is little research examining this problem in the context of people who work in non-standard FoE. Moreover, previous research primarily focused on identifying differences between people working under employment contracts and the self-employed. This article fills these research gaps as well as shows that more factors should be considered in the research models to get a deeper insight into the problem of non-standard FoEs.

Unemployment is the biggest issue for all the developing countries, especially India, where millions of educated people are passed out every year from different educational institutes, but against this, the jobs are not being generated. This situation will only be addressed effectively when the government/authorities make more efforts to identify/create potential entrepreneurs. The present study investigates the relationship of entrepreneurial characteristics on entrepreneurial attitude and intention among engineering undergraduates engaged in various technical institutions in Chhattisgarh state.

Stratified random sampling was used to collect sample of 1,000 engineering undergraduates enrolled in third and fourth year at different technical institutions of Chhattisgarh state.

Structural equation modelling and hierarchal multiple regression analysis were incorporated, and the analysis revealed that the entrepreneurial characteristic was found to be a significant predictor of entrepreneurial attitude and intention of engineering undergraduates. The study also discusses managerial implications, limitations and avenues for future research.

Looking at the current scenario, the present study discusses with several factors influencing entrepreneurial attitude and intention of engineering undergraduates, which might be the only solution to a significant issue, i.e. unemployment. In addition, there is a huge lack of research in addressing unemployment issue through entrepreneurship in the state of Chhattisgarh.

Bootstrapping is a practitioner-based term adopted in entrepreneurship to describe the techniques employed in micro, small and medium-sized enterprises (MSMEs) to minimise the need for external funding by securing resources at little or no cost and applying strategies to effectively use resources. Working capital management (WCM) is a term used in financial management to define a set of practices used to manage business resources, including cash management. This paper explores the overlap and divergence between these two disciplinary distinct concepts.

A dual methodology is employed. First, the usage of the two terms in prior literature is analysed and synthesised. Second, the study uses factor analysis to explore how bootstrapping practices described by owners of 167 established MSMEs relate to the components of WCM in financial management.

The factor analysis identifies two main bootstrapping practices employed by MSMEs: (1) delaying payments and owner-related bootstrapping and (2) customer-related bootstrapping. Delaying payments is an integral practice in trade payables management and customer-related bootstrapping includes practices that are integral to trade receivables management. Therefore, links between bootstrapping practices and WCM practices are firmly established.

The study is not without limitations. Based on cross-sectional evidence for established firms in Ireland only, future studies could explore cross-country longitudinal panel data to fully examine life cycle and sectoral effects, as well as other external shocks (for example, COVID-19) on bootstrapping and WCM practices. This study does not explain why some factors (for example, joint utilisation and inventory management) are present in some bootstrapping studies and not in others; further case study research might help explain this. Finally, changes in the business environment facing start-ups and established enterprise, including increased digitalisation, online trading, self-employment, remote hub working and sustainability, offer new avenues for bootstrapping research.

This is the first study to comprehensively explore the conceptual and empirical links between bootstrapping and WCM. This study will enable researchers and practitioners in these two distinct disciplines to learn from each other. Accounting researchers and practitioners can broaden their understanding of how WCM “works” in MSME settings. Similarly, entrepreneurship researchers and practitioners can deepen their understanding of how bootstrapping can be adopted by businesses to manage resources effectively.

In a country that is marred by an excessively high unemployment rate, there is a need for policymakers to prioritise entrepreneurship in South Africa. The study aims to explore the determinants of self-employment among the youth in South Africa and in the process answer the following question: Who are the self-employed youths in South Africa?

Different potential predictors of self-employment empirically used in the literature were used in this study. A probit regression model was used with the binary self-employment variable as the dependent variable and a host of independent variables. A nationally representative survey consisting of youths was used in the analysis.

The findings show that financial literacy increases the odds of being self-employed. Secondly, the odds of being self-employed increase with age as mature people are expected to have gathered enough networks and wisdom over the years. Thirdly, being male decreases the odds of being self-employed. When it comes to education, the only category that statistically increases the odds of being self-employed compared with no schooling is the tertiary level of education. The other educational levels are all statistically insignificant. From a policy perspective, the government should promote self-employment by investing in financial literacy as well as increasing access to tertiary education among disadvantaged groups.

The study is one of the first, to the best of the authors’ knowledge, to examine the characteristics of the self-employed using a nationally representative survey in South Africa.

The research aims to applying Baumol’s framework to address some research gaps in the literature. This paper aims to analyze how institutional variations at the subnational level impact entrepreneurship decisions and the path toward productive or unproductive entrepreneurship in an institutionally underdeveloped country. The results offer potentially new theoretical insights and practical implications for developing or emergent countries.

The research applies Baumol’s framework to Mexico’s context. The research collects data compounded by individual- and state-level variables from diverse sources for the 32 Mexican states. The individual level and some controls were obtained from sources of regular frequency, but the institutional variables were derived from surveys of irregular frequency, nonsynchronic and mostly nonoverlapping, which required aligning and centered them around 2016 and 2019 to match with the individual variables. The authors apply multilevel nonlinear mixed-effects probit regression to test nine hypotheses regarding the impact of institutional variables on entrepreneurial decisions and the path toward productive or unproductive entrepreneurship.

Improved formal institutions across the Mexican states reduce the entrepreneurship probability, implying interactions with other variables and indirect effects; encourage the selection of productive entrepreneurship, e.g. formal ventures; and discourage self-employment. Consequently, those institutions do not encourage entrepreneurship selection as an occupation but entrepreneurial quality, i.e. the selection of productive-formal entrepreneurship and larger ventures. Deficient informal institutions increase the entrepreneurship and formal entrepreneurship probabilities, implying the interactions with other variables and indirect effects and supporting the corruption “greases the wheels” hypothesis, consequently encouraging productive ventures. New evidence of the positive relationship between criminality and entrepreneurship types in Mexico is reported.

Our findings indicate important impacts of the individual-level variables on the entrepreneurship decisions and that most of those decisions are potentially necessity driven and a minority are driven by opportunity, given their relationship with the macroeconomic controls and the institutional variables. The authors report mixed results on the relationship between institutions and entrepreneurship partially consistent with the literature; some results contribute additional evidence on controversial hypotheses or imply the existence of indirect effects. Overall, the results suggest that institutions impact the individual decisions to venture and the type of venture consequently affecting the amount and quality of entrepreneurship across states.

The research addresses some of the literature gaps by providing empirical evidence on a middle-income country and how diverging regional institutional contexts, including formal and informal institutions, impact the individual’s entrepreneurship decisions within an institutionally underdeveloped country. The paper contributes new knowledge and insights into entrepreneurship in emerging or developing countries with implications for Baumol’s framework in this context and adds to the debated hypothesis on the relationship between some institutions, e.g. corruption and criminality and entrepreneurship.

This study aims to estimate the impact of refugee inflows on host countries’ entrepreneurial rates. The refugee crisis led to an increased scientific and public policy interest in the impact of refugee inflows on host countries. One important perspective of such an impact, which is still underexplored, is the impact of refugee inflows on host countries entrepreneurial rates. Given the high number of refugees that flow to some countries, it would be valuable to assess the extent to which such countries are likely to reap the benefits from increasing refugee inflows in terms of (native and non-native) entrepreneurial talent enhancement.

Resorting to dynamic (two-step system generalized method of moments) panel data estimations, based on 186 countries over the period between 2000 and 2019, this study estimates the impact of refugee inflows on host countries’ entrepreneurial rates, measured by the total early-stage entrepreneurial activity (TEA) rate and the self-employment rate.

In general, higher refugee inflows are associated with lower host countries’ TEA rates. However, refugee inflows significantly foster self-employment rates of “medium-high” and “high” income host countries and host countries located in Africa. These results suggest that refugee inflows tend to enhance “necessity” related new ventures and/ or new ventures (from native and non-native population) operating in low value-added, low profit sectors.

This study constitutes a novel empirical contribution by providing a macroeconomic, quantitative assessment of the impact of refugee from distinct nationalities on a diverse set of host countries' entrepreneurship rates in the past two decades resorting to dynamic panel data models, which enable to address the heterogeneity of the countries and deal with the endogeneity of the variables of the model.