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This paper aims to examine the gender perceptions of members within women’s NGOs in Türkiye, highlighting the persistence of patriarchal values despite the rise in these organizations. The study provides insights into the influence of socio-political factors and demographic variables on gender attitudes within these organizations.

The research utilized a survey conducted among 735 members of women’s NGOs in Istanbul and Ankara, gathering quantitative data on their attitudes toward gender inequality. The study employs a gender inequality index, supplemented with demographic and personal factors like age, marital status, education, political ideology and religiosity.

Findings reveal that members of women’s NGOs often exhibit gender-inequitable attitudes, influenced by factors such as age, religiosity, political ideology and education. Contrary to expectations, these NGOs do not uniformly promote feminist values, and gender inequity is deeply entrenched within the organizational culture.

The study is limited by its focus on two major cities, which may not reflect the experiences of NGO members in other regions of Türkiye. The findings underscore the necessity to address structural constraints within women’s NGOs to promote genuine gender equality.

This research suggests the need for critical awareness and capacity-building within women’s NGOs in Türkiye. Policymakers and organizational leaders can use these insights to develop targeted interventions that enhance gender consciousness and challenge patriarchal norms in civil society.

This study provides a novel exploration of gender attitudes within women’s NGOs in Türkiye, challenging the assumption that such organizations inherently promote feminist ideals. By combining empirical data with a socio-political analysis, the research reveals how entrenched patriarchal values persist within organizations that advocate for gender equality. This work contributes to understanding the complexities and contradictions in civil society’s role in gender politics, offering valuable insights for scholars and practitioners interested in gender, civil society and socio-political dynamics in Türkiye.

This paper aims to investigate the sentiment connectedness among 10 European stock markets between January 2020 and July 2022, associating such connectedness with the level of the geopolitical risk index.

For this purpose, a time-varying parameter vector autoregressive connectedness framework is used.

Results show a high degree of sentiment connectedness. Overall, the sentiments of Portugal, France, the Netherlands, Spain, Germany and Italy are net transmitters of shocks while those of Poland, Sweden, Norway and Romania are net receivers. Additional evidence indicates that when geopolitical risks increase, the sentiment connectedness tends to decrease. However, the reverse holds under extremely high levels of geopolitical risks.

Overall, this study provides some significant contributions to the literature. First, to the best of the authors’ knowledge, this is among the first few studies to examine the dynamic connectedness among stock market sentiment across countries. This issue needs special consideration for European countries because of their close geographical distance and strong integration due to the European Union’s co-development strategies. Second, the association of sentiment connectedness with geopolitical risk is examined for the first time. This is even more meaningful in the context of growing geopolitical risks stemming from the Ukraine war, which could affect international financial markets.

This study aims to investigate the effect of intangible capital (e.g. intangible investments and research and development (R&D) expenditures) on future profitability in an emerging economy and the moderating role of economic policy uncertainty (EPU) for companies listed on the Tehran Stock Exchange.

To this aim, information about 210 companies during 2014–2021 was collected. This study calculated EPU based on the inflation rate, interest rate, exchange rate and economic growth.

The results showed that both R&D expenditures and other intangible investments positively affect future profitability. Moreover, EPU decreases the positive effect of R&D expenditures and other intangible investments on future profitability. Hypothesis testing based on ordinary least squares and generalized method of moments regressions confirmed these results. This study emphasizes the urgent need to adjust how they operate the business during the COVID-19 pandemic.

The nature and degree of intangible assets and R&D expenditures in firms in emerging markets is an interesting area of research. However, empirical studies in this area have not led to any unanimous conclusion in emerging markets. Moreover, intangible assets and R&D expenditures become very important in the economy affected by the financial crisis and conditions of uncertainties. In light of the COVID-19 crisis, significant changes occurred at all levels and affected accounting-related issues, and the present study highlighted COVID-19. The findings of this research will not only help the managers of companies in developing countries but also, because of the dearth of similar research, they can help managers in developed countries and the global community.

This study examines how and when family-friendly policies influence employee subjective career success in terms of work–home enrichment, perceived career success and work–home interference.

Pakistani employees (n = 369) working full-time in multiple organizations participated in this study. Structural equation modeling in Mplus 8.3 was utilized to test the hypotheses.

The results demonstrate that family-friendly policies foster work–home enrichment and perceived career success while reducing work–home interference. Furthermore, the findings suggest that an ethical work climate, in conjuction with family-friendly policies, leads to positive outcomes regarding employees’ subjective career success.

Based on the broaden-and-build theory, the authors provide new theoretical insights into how and when family-friendly policies affect subjective career success in terms of work–home enrichment, perceived career success and work–home interference. They also identify new boundary conditions (i.e. ethical work climate) that moderate the effect of family-friendly policies’ effect on subjective career success.

This study examines the convergence of energy diversification, financial development and per-capita income in OECD countries.

The research employs the club convergence test to assess convergence among OECD countries and uses Granger causality tests and panel regressions to identify the determinants of convergence, using data from 1997 to 2021.

The convergence tests showed no overall convergence but revealed convergence clubs for each factor. Granger causality tests indicated short-run bi-directional relationships between the variables. Long-run panel regression analysis confirmed that technological progress significantly improves per capita income and energy diversification. Additionally, it revealed bi-directional relationships between energy diversification and financial development, a uni-directional relationship from financial development to per capita income and a U-shaped effect of per capita income on energy diversification, with a turning point at $67,112.8 per year.

The findings suggest that within each convergence club, implementing microeconomic incentives for technology development and diffusion in energy, production and financial services could help lagging countries catch up.

This study pioneers the testing of convergence in energy diversification, financial development and per capita income in OECD countries and identifies the determinants of this convergence.

This chapter explores the transformative potential of integrating Artificial Intelligence (AI) with virtual reality (VR) in developing adaptive learning and development (L&D) programmes. Traditional L&D methodologies are increasingly inadequate in the face of rapidly changing business environments. AI and VR technologies offer unprecedented opportunities to personalise learning experiences, enhance engagement and improve outcomes. This chapter provides a comprehensive overview of current trends, applications, challenges and future directions of AI and VR in L&D. Key findings emphasise the role of these technologies in fostering continuous learning cultures, addressing individual learner needs and enhancing organisational effectiveness. Practical insights and case studies are included to guide HR professionals in leveraging AI and VR for innovative and effective L&D programmes.

Numerous attempts at installing Six Sigma (SS) have faced challenges and fallen short of the desired success. Thus, it becomes vital to identify the critical factors and characteristics that play a pivotal role in achieving successful adoption. Research has highlighted that a considerable number of corporate Six Sigma initiatives, around 60%, fail primarily due to the improper incorporation of essential elements and flawed assumptions.

To validate the influence of CSFs on Six Sigma accomplishment, the study employed a research design combining exploratory and mixed-methods approaches. The analysis focused on 260 completed questionnaires, and statistical methods including SEM, EFA, and CFA were utilized for data analysis.

The study acknowledged four essential components of CSFs that are imperative for sustaining the success of Six Sigma (SS): (1) Competence of Belt System employees; (2) Project management skills; (3) Organizational economic capability; and (4) Leadership commitment and engagement. These factors were identified as significant contributors to the maintenance of Six Sigma’s success.

The practical implications of this research imply that institutions, practitioners, and researchers can utilize the four identified factors to foster the sustainable deployment of SS initiatives. By incorporating these factors, organizations can enhance the effectiveness and longevity of their Six Sigma practices.

The investigation’s originality lies in its contribution to assessing critical success factors in Six Sigma deployment within the European automobile industry, utilizing a mixed-methods research design supplemented by descriptive statistics.

Political factors play a crucial role in China's initial public offering (IPO) market due to its distinctive institutional context (i.e. “economic decentralization” and “political centralization”). Given the significant level of IPO underpricing in China, we examine the impact of local political uncertainty (measured by prefecture-level city official turnover rate) on IPO underpricing.

Using 2,259 IPOs of A-share listed companies from 2001 to 2019, we employ a structural equation model (SEM) to examine the channel (voluntarily lower the issuance price vs aftermarket trading) through which political uncertainty affects IPO underpricing. We check the robustness of the results using bootstrap tests, adopting alternative proxies for political uncertainty and IPO underpricing and employing subsample analysis.

Local official turnover-induced political uncertainty increases IPO underpricing by IPO firms voluntarily reducing the issuance price rather than by affecting investor sentiment in aftermarket trading. These relations are stronger in firms with pre-IPO political connections. The effect of political uncertainty on IPO underpricing is also contingent upon the industry and the growth phase of an IPO firm, more pronounced in politically sensitive industries and firms listed on the growth enterprise market board.

Local government officials in China usually have a short tenure and Chinese firms witness significantly severe IPO underpricing. By introducing the SEM model in studying China IPO underpricing, this study identifies the channel through which local government official turnover to political uncertainty on IPO underpricing.

This study aims to examine the effect of different types of innovation on the relationship between entrepreneurial orientation (EO) and small to medium enterprise (SME) growth.

This study used a quantitative approach to collect data from 480 SMEs in Australia and New Zealand through convenience sampling.

Based on partial least square structural equation modelling, this study found a direct positive relationship between EO and SME growth and an indirect positive relationship between EO and SME growth through business model innovation (BMI). This study emphasised that while SMEs use different types of innovation, they will achieve significant growth by innovating their business models.

The work has some limitations as the focus was on two countries (Australia and New Zealand) considered as developed countries. The result may differ when the study is conducted in developing countries. Also, EO was measured as a unidimensional construct without looking at the individual contributions of the EO dimensions to growth.

SME owner managers seeking growth of their firms must focus their effort on innovating their business models to achieve competitive advantage. Also, SMEs can integrate their product and process innovations in their BMIs to minimise imitation and increase growth.

The novelty of this paper is that while there are existing studies on EO and SME growth, this paper explores the mediating effect of different types of innovation on the relationship between EO and SME growth.

This chapter proposes an in-depth exploration of the role of governmental guidelines and lodge contributions in establishing sustainable wildlife-related tourism in specific Tourism Development Areas (TDAs) in Zambia. The study focuses on two prioritized TDAs, namely Luangwa Valley (South and North Luangwa National Park) and Lower Zambezi (Lower Zambezi National Park), which are renowned wildlife-related tourism destinations in Zambia. The chapter aims to bridge the existing research gaps in the implication of ecotourism in Africa, with a specific focus on Zambia, while highlighting the significance of responsible travel and ecotourism in the sustainable development of these areas.