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Microenterprises (MEs) are vital to the growth and prosperity of economies around the world. All levels of society, from universities to national governments, have collaborated to improve the chances of survival and future growth of these businesses. The threat to life is serious, and unless concerted action is taken, the situation will spiral out of control. Policymakers and business leaders must work together to address the sustainability crisis. The study, therefore, set out to determine how various entrepreneurial skills (such as creativity, collaboration, networking, and risk-taking) affect the long-term viability of MEs. The overall objective of the study was to determine the importance of innovative problem-solving, collaboration, networking, and willingness to take calculated risks of microentrepreneurs for the long-term success of their businesses. A total of 274 microentrepreneurs in rural areas of the Ancash region of Peru were surveyed in the grocery, hardware, clothing, and food service sectors. The survival of the MEs was tested on four dimensions: innovation, leadership, networking, and risk-taking. According to the results, MEs managers can increase their longevity by cultivating creative skills, strengthening leadership as a key to business sustainability and survival, maximizing the use of networks to gain a market advantage and expand their customer base, and employing calculated risk-taking.

We employ three systemic risk measures of banks, including the systemic risk index (SRISK) and marginal expected shortfall (MES) of Brownlees and Engle (2017) and the conditional Value-at-Risk (ΔCoVaR) of Adrian and Brunnermeier (2016), to analyze bank's exposure and contribution to systemic risk in the banking system when a financial crisis occurs. We find evidence that time-varying systemic risk exists, and systemic risk exposures escalate with the interconnectedness of banks. We also find revenue diversification is another significant factor that reduces a bank's exposure to systemic risk but not for banks in Taiwan and Singapore.

Electricity plays an essential role in nations' economic development. However, coal and renewables currently play an important part in electricity production in major world economies. The current study aims to forecast the electricity production from coal and renewables in the USA, China and Japan.

Two intelligent grey forecasting models – optimized discrete grey forecasting model DGM (1,1,α), and optimized even grey forecasting model EGM (1,1,α,θ) – are used to forecast electricity production. Also, the accuracy of the forecasts is measured through the mean absolute percentage error (MAPE).

Coal-powered electricity production is decreasing, while renewable energy production is increasing in the major economies (MEs). China's coal-fired electricity production continues to grow. The forecasts generated by the two grey models are more accurate than that by the classical models EGM (1,1) and DGM (1,1) and the exponential triple smoothing (ETS).

The study confirms the reliability and validity of grey forecasting models to predict electricity production in the MEs.

This study aims to investigate the relationship between market-oriented environmental sustainability (MES) and green export-related resources and capabilities, analyzes the impact of these resources and capabilities on the eco-friendly export marketing strategy and assess the influence of such strategy on export performance.

This study uses survey data from 241 manufacturing export firms analyzed through partial least squares structural equation modeling.

The results show a positive influence of MES on green export-related resources and capabilities. Further, while green export-related capabilities directly affect eco-friendly export marketing strategy, resources only influence it indirectly through capabilities. The results also show that the adoption of an eco-friendly export marketing strategy contributes to firm’s export performance.

This study makes an important contribution to sustainability and exporting literature by evaluating the behavior of firms in terms of MES and eco-friendly export marketing strategy.

Viewing the domestic downside risk as a “pushing” factor for outward foreign direct investment (OFDI), this study aims to examine the surge in Chinese cross-border acquisitions (CBAs) between 2008 and 2017, a unique window when private firms in China were allowed to conduct CBAs.

This study examines the effect of down-side risk on cross-border acquisition performance by using the sample of Chinese A-share listed companies from 2008 to 2017. Specifically, this study considers three kinds of systemic risk, systematic risk and idiosyncratic risk, and respectively examines their impact on CBAs activities; this study also investigates their subsequent results after CBAs activities. The contingency effect of state ownership on the above relationship is also discussed.

The findings reveal that pre-CBA systemic risk explains the volume of CBA activities; CBAs are followed by a reduction in systemic risk; the interactions between systemic risk and CBAs decrease with the level of state ownership; and the above results do not hold for traditional risk measures (i.e. systematic risk and idiosyncratic risk).

This study contributes to the literature by revealing the role of systemic risk as a “pushing” factor in the context of OFDI and suggesting an alternative explanation for CBAs from China: Chinese firms (especially private firms) took advantage of the rare opportunity between 2008 and 2017 given by the government to transfer assets overseas through CBA.

Various research studies in the past have found biological gender to be a differentiator for money attitudes. However, the beliefs and attitudes that people have towards money can also be the result of the gender socialisation, which may have a greater impact on how one relates to money. Since, gender is an important aspect for understanding financial choices and decisions, it becomes pertinent to learn as to which aspect of gender, the biological or the psychological, impact the money attitudes and beliefs that a person holds. The purpose of this paper is to address this issue.

This empirical work attempts to understand gender differences in money attitudes from the biological gender and psychological gender perspective. The Bem Sex Role Inventory (BSRI) and Tang's money ethic scale (MES) were used for this study. The hypotheses raised were tested on a sample of 224 respondents from India.

The results suggested that money attitudes can be better understood when seen from the lens of psychological gender and not biological gender. Further, androgyny individuals were found to exhibit more balance in their money attitude dimensions than masculine or feminine individuals.

Belief and attitudes towards money would impact how contented people are with the compensation they receive, their financial planning choices and also their financial well-being. This insightful study adds to the scant literature that exists on understanding money attitudes from psychological gender perspective and would pave the way for more work in this area.

The study examines the remote integration process of advanced manufacturing technology (AMT) into the production system and identifies key challenges and mitigating actions for a smoother introduction and integration process.

The study adopts a case study approach to a cyber-physical production system at an industrial technology center using a mobile robot as an AMT.

By applying the plug-and-produce concept, the study exemplifies an AMT's remote integration process into a cyber-physical production system in nine steps. Eleven key challenges and twelve mitigation actions for remote integration are described based on technology–organization–environment theory. Finally, a remote integration framework is proposed to facilitate AMT integration into production systems.

The study presents results purely from a practical perspective, which could reduce dilemmas in early decision-making related to smart production. The proposed framework can improve flexibility and decrease the time needed to configure new AMTs in existing production systems.

The area of remote integration for AMT has not been addressed in depth before. The consequences of lacking in-depth studies for remote integration imply that current implementation processes do not match the needs and the existing situation in the industry and often underestimate the complexity of considering both technological and organizational issues. The new integrated framework can already be deployed by industry professionals in their efforts to integrate new technologies with shorter time to volume and increased quality but also as a means for training employees in critical competencies required for remote integration.

This study tends to investigate how the outbreak of the coronavirus disease 2019 (COVID-19) pandemic has affected banks' contribution to systemic risk. In addition, the authors examine whether the impact of the pandemic may vary across advanced/emerging economies, and with banks with differed characteristics.

The authors construct the bank-specific conditional value at risk (CoVaR) and marginal expected shortfall (MES) to measure their contribution to systemic risk and define the outbreak of the COVID-19 pandemic by the timing when countries report more than 100 confirmed cases. The authors use the approach of difference-in-differences to assess the impact of the COVID-19 pandemic on banks' contribution to systemic risk. This sample comprises monthly panel data of around 900 listed commercial banks in 39 advanced and emerging economies.

The authors find that, firstly, the COVID-19 pandemic increased banks' contribution to systemic risk significantly around the world. Secondly, the impact of the COVID-19 virus was more pronounced in developed countries than in emerging economies. Finally, banks with a larger size and higher loan-to-deposit ratio are more greatly affected by the COVID-19 pandemic, while a higher capitalization for banks is insufficient to shelter them from the adverse impact of such pandemic.

The authors assess the impact of the COVID-19 pandemic on banks' contribution to systemic risk. Using the conditional value at risk (marginal expected shortfall) of banks as the measure, this study’s results suggest that banks' contribution to systemic risk increases by around 25% (48%) amid the COVID-19 pandemic. This study’s findings may shed some light on the potential policies that financial regulators may employ to ameliorate the adverse outcomes of the ongoing pandemic.

The study deploys Anthias' intersectional framework of social spaces and her concept of translocational positionality to explore the barriers to entrepreneurship for refugee entrepreneurs in the United Kingdom (UK). In particular, the study aims to assess how migrant identities require a specific form of business support.

A total of 32 semi-structured interviews with 14 refugee entrepreneurs and 18 business support agents were conducted between April and October 2022 and, together with field notes, were combined for thematic analysis in NVivo 12.

Organisational, representational, intersubjective and experiential barriers combined to create practical and psychological deterrents to entrepreneurship for refugees. However, an explicitly humanistic and de-centred approach to business support was (partially) able to counter such barriers.

Policymakers and business support agencies should consider intersectional characteristics and the importance of a compassionate and individual approach when designing business support programmes for refugee entrepreneurs.

Two intersectional concepts of social spaces and translocational positionality are brought into conversation with each other, creating a novel approach to framing the barriers to entrepreneurship for refugees.

This paper sheds light on the impact of market risk measures on systemic risk. Market risk, which is captured by the volatility of stock market returns, is also decomposed into systematic and idiosyncratic risks.

The author uses the five-factor asset pricing model and systemic risk methodologies to derive market and systemic risk measures, respectively. Using a sample of 2,667 US banks for over 30 years and employing panel data estimation techniques, the author tests the said relationship.

It is shown that idiosyncratic risk can surge systemic risk, while systematic risk plays a less important role. Results survive a battery of tests, including different systemic risk measures, controlling causality and interacting with bank size, market fear and crisis periods.

These findings call for regulatory intervention, especially for large banks with high idiosyncratic risk.

This is the first paper that provides a more granular picture of the relationship between market and systemic risk from the US banking industry for more than 30 years.