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The paper examines the impact of COVID-19 on the network structure of the Ghana Stock Exchange (GSE) market.

The study utilises the minimum spanning tree (MST) and network measures, including normalised tree length, average shortest path length, node degree, and node strength, to analyse the GSE structure across three periods: pre-COVID-19 (January–December 2019), COVID-19 (January–December 2020) and post-COVID-19 (January–December 2021).

The study reveals a contraction of the MST, reduced normalised tree length and average shortest path length during COVID-19 compared to pre-COVID-19. The GSE market network structure underwent significant changes during COVID-19, with the MST expanding and normalised tree length increasing post-COVID-19. Node degree and strength analyses identified ICT stock as the central node pre-COVID-19, while financial stock assumed this role during and after COVID-19. These findings underscore the profound impact of the COVID-19 pandemic on the structure and dynamics of the GSE market network.

The study used correlation to measure the linear relationships between stocks without accounting for nonlinear associations. It focused exclusively on the GSE market. Despite this limitation, the empirical findings and robustness tests reveal the significant impact of COVID-19 on the GSE market’s network structure. These results highlight the dynamic nature of the GSE market’s network topology.

This paper highlights the dynamic nature of the GSE market network structure, providing valuable insights for investors and market participants to navigate similar crises in the future. Additionally, GSE regulators can leverage these findings to identify stocks that may pose risks during extreme market events.

This study is the first in Ghana to examine the effects of extreme events, such as COVID-19, on the network structure of the GSE market.

This paper aims to examine how multiple embeddedness of transnational entrepreneurs shapes their process of adaptation to the global crisis, and how this process is influenced by emotions evoked by the crisis.

This paper addresses these exploratory questions by offering an in-depth case study of a Polish-run enterprise operating in the tourism industry in Zanzibar in the times of the COVID-19 pandemic.

Using a psychodynamic perspective, this paper shows the role of transnationality in shaping the entrepreneur’s response to the crisis, as well as the social response to the entrepreneur’s actions.

This paper shows that both the entrepreneur’s actions and their social reception can be understood through the prism of the unconscious defense mechanisms that individuals and groups develop to cope with anxiety.

This paper investigates the motivations and challenges of women entrepreneurs in Ireland, assessing the role of policies and Enterprise Ireland (EI) support for women-led companies and high potential start-ups (HPSUs). It employs the gendered theory of entrepreneurship and opportunity recognition theory to analyse the enablers and obstacles to women’s entrepreneurship, particularly in the context of EI’s support, aiming to suggest improvements.

Grounded in a feminist epistemology and employing a mixed-methods approach, a targeted survey explores motivations, barriers and supports the needs of female entrepreneurs in Ireland, offering a comprehensive gender perspective evaluation for policy enhancement.

Findings note a shift in Irish women’s entrepreneurship motivations and outlines major hurdles like limited funding and work–life balance issues. It recommends policy enhancements in data collection, website usability, financial guidance and childcare support.

This paper aims to highlight the impact of gender-specific factors on entrepreneurship, the study highlights the importance of ongoing data collection and gender comparative analyses. It advocates for women mentoring networks and improved financial support to build a more inclusive entrepreneurial environment in Ireland, with potential global implications.

This study is unique for its in-depth exploration into Irish female entrepreneurship challenges, this study proposes actionable strategies with local and global relevance. Advocating for caregiving support integration and women’s increased involvement in tech, it offers a blueprint for fostering female entrepreneurship. It contributes to global discussions on creating supportive, equitable entrepreneurial ecosystems, serving as a valuable resource for advancing gender inclusivity and equity in entrepreneurship worldwide. It identifies scope for integration of a feminist epistemology in policy development.

Currently, many studies have shown an increasing interest in owner-dynamic capabilities (ODCs). Existing studies mainly focus on the dynamic capability basis and capability development within the owner organization, whereas they rarely analyze the capability mobilization within the network of participants in megaprojects. Therefore, this study aims to explain the interaction and evolution of the mobilization strategies of ODCs and the cooperative strategies of other participants.

This study develops a tripartite evolutionary game model to analyze the evolutionarily stable strategy of the owner, the reciprocal participants and the general participants. Results are numerically simulated with a validation case. The asymptotic stability of multiple group strategies is discussed under the replicator dynamic system.

This study suggests that resource complementarity significantly reduces the difficulty of mobilization. Moreover, these strategies are only effective with sufficient ODCs. The results indicate that reciprocal participants are more sensitive to the change in resource complementarity.

This study provides strategic guidance for mobilizing ODCs in megaprojects to better embrace uncertainty and stress, contributing to the dynamic capability literature with an evolutionary game approach. And new insight for the study of reciprocity preference in megaprojects is also provided.

This study aims to explore key questions within the context of Asian countries: How do artificial intelligence (AI) and blockchain adoption in accounting influence enterprise risk management and environmental, social and governance (ESG) performance? What role does enterprise risk management have as a mediator in this relationship? In addition, how does environmental uncertainty shape the interplay between AI and blockchain adoption in accounting, enterprise risk management and ESG performance?

The authors collected data from Thomson Reuters Eikon Datastream, initially targeting the 20 Asian countries with the highest gross domestic product (GDP) per capita. Using stringent selection criteria, the research sample included 22,212 firms from these countries: Bahrain, China, Hong Kong, Indonesia, Israel, Japan, Jordan, Kazakhstan, South Korea, Kuwait, Lebanon, Malaysia, Oman, Qatar, Saudi Arabia, Singapore, Sri Lanka, Thailand, the United Arab Emirates and Vietnam. After a rigorous screening process, the final sample comprised 1,742 firms, representing 17,420 firm-year observations over the 2014–2023 period. This paper applied maximum likelihood structural equation modeling to analyze the data.

The findings reveal that both AI and blockchain adoption in accounting, along with enterprise risk management, positively impact ESG performance in the Asian context. Enterprise risk management serves as a mediating factor between AI and blockchain adoption in accounting and ESG performance. In addition, environmental uncertainty significantly moderates the relationships between AI and blockchain adoption in accounting and enterprise risk management, as well as between enterprise risk management and ESG performance.

This study uncovers the interplay between internal factors – such as AI and blockchain adoption in accounting and enterprise risk management – and external factors, notably environmental uncertainty, in fostering sustainable value for Asian firms. Internal factors enable firms to integrate ESG considerations into their operations, facilitating risk mitigation and enhancing ESG performance. Meanwhile, heightened environmental uncertainty drives the adoption of sustainable practices. Consequently, Asian Governments should prioritize the development of regions characterized by high environmental uncertainty to advance national sustainable development goals and encourage responsible business practices.

This study contributes to the existing literature by uncovering the combined effects of internal and external factors on ESG performance, offering empirical evidence from Asian countries with high GDP per capita. Specifically, it underscores the efficacy of AI and blockchain adoption in accounting and enterprise risk management, as well as the moderating role of environmental uncertainty, within the Asian context.