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The aim of this study is to conduct a comparative analysis between Islamic and conventional banks in terms of whether Islamic banks was more or less resilient/risky than conventional counterparts to the pandemic shock. It also examines the role of capital in improving the performance and stability within the two banking systems.

This study uses 82 banks from MENA (Middle East and North Africa) region for periods across 2011–2020, and employs a dynamic panel data approach to examine the resilience within both banking systems during the Covid-19 pandemic.

The results show that the Covid-19 pandemic has a negative impact on conventional banks' stability. However, Islamic banks performed better and were less risky than conventional ones. Banks with high-quality capital are more effective at controlling their risks and improving their performance during the pandemic.

The results offer important financial observations and policy implications to many stakeholders engaging with banks. Actually, the findings of this study facilitate to the stakeholders and bankers to have an alluded picture about determinants of risk and performance. The results can be used by bankers’ policy decision-makers to improve and enhance their consideration for risk management, taking into consideration the type of banking systems.

Compared to the various studies on the stability of Islamic and conventional banks, researchers have not sufficiently addressed the effect of the Covid-19 pandemic on risk and performance. Moreover, none of these studies has examined if Islamic banks was more or less resilient/risky than conventional counterparts to the pandemic shock. This leads the authors to identify the similarities and differences between two types of banks in the MENA region in a pandemic shock context.

Across the globe, cities have contemplated practical measures to handle sustainable development issues which vary from environmental, social and to economic problems. Despite this, Africa has continued to fall behind in the implementation of smart city development. Yet, one of Africa's most cherished goals is achieving sustainable human settlements to keep up with the present and future urbanisation rates. The backbone to achieving sustainable human settlements is having efficient, well-capacitated, municipal systems and committed public servants. African Governments, however, continue to have failing municipalities with corruption being rife in both small towns and cities, yet there are chances to evolve and become smarter. Blockchain technology is a novel and disruptive innovation that has the potential to empower smart cities by providing a platform for interoperability, coordination and governance among multiple smart city initiatives and actors. However, the adoption of blockchain technology also faces several challenges and barriers to its adoption and implementation in smart cities, especially in Africa, where there is lack of awareness, regulation, infrastructure and access to ICT. This chapter examines the current state, opportunities and challenges in the adoption of blockchain technology in smart city development in Africa, a continent that faces multiple urbanisation issues, such as poverty, inequality, environmental degradation and lack of infrastructure. As such, the study adopts two theories, the diffusion of innovation (DOI) and the technology–organisation–environment (TOE) framework to view the use and opportunities placed by adopting blockchain technology through municipal stakeholders and citizens to enhance smart city development.

This study aims to develop an integrative framework for strategic intelligence (SI) tailored to guide companies navigating systemic disruptions within global supply chains, identifying key determinants for its effective deployment. Current literature on management systems addresses SI components individually, hindering a precise definition and implementation strategy. This systematic review aims to fill these gaps by establishing a conceptual model of SI capability, emphasizing the interdependence of its dimensions.

Following the Joanna Briggs Institute (JBI) mixed-method analysis approach and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, this systematic review synthesizes empirical studies, conceptual papers, mathematical models and literature reviews on SI capability dimensions. It adopts a flexible approach to explore SI within supply chain resilience during systemic crises.

The study enhances and broadens the field of dynamic capabilities (DCs) by advancing knowledge on SI as a dynamic capability inducing resilience within supply chains facing systemic risks. Additionally, it synthesizes and offers perspective on a rapidly expanding body of literature from the past three years, identifying emerging trends and gaps.

This research focused on three capacities: Supply Chain Visibility (SCV), Environmental Dynamism (ED) and Timely Seizing and Detection-Making (TSDM). While other dynamic capabilities may enhance SC resilience (SCR), this study emphasized the analytical and decision-making dimensions critical for improving SCR.

This systematic literature review introduces a novel conceptual framework, providing a foundation for empirical investigations. By offering an integrated theoretical perspective, the study proposes actionable research propositions and insights into SI’s strategic role in crisis management within supply chains.

The COVID-19 pandemic showed that preestablished contingency plans and resilience practices were insufficient to cope with long-term and global disruptions. Companies thus struggled to develop capabilities that ensure their survivability during similar crises. Building on the adaptation-based view (ABV) of supply chain resilience, this study aims to offer an in-depth perspective on survivability in supply chains (SCs).

The paper empirically tests related relationships between adaptation capabilities and practices that ensure operational continuity. Responses from 252 organisations were collected and analysed using partial least squares structural equation modelling.

The results empirically support the ABV’s theoretical propositions and assess the possibilities of intertwining, digitalisation, a circular economy and maturity for the survivability of SCs.

The derived insights are attractive for managers and researchers to foster supply chain survivability and contribute to the increasing efforts of middle-range theorising in logistics and supply chain management research.

To the best of the authors’ knowledge, this study is one of the first studies to define factors enhancing the survivability of SCs through the lens of the ABV.

This study uses the time-varying parameter vector autoregressive (TVP-VAR) frequency connectedness approach to examine the interconnectedness between artificial intelligence (AI)-related financial assets and Islamic banking indices in financial markets. It reveals linkages across different market segments and their influence on spillovers between segments at different investment horizons.

The research methodology involves using the TVP-VAR model. This model allows the authors to analyze return spillovers across different time frames by capturing the dynamic nature of the relationships between variables. The authors also consider various global factors in the regression analysis for rigor (Chatziantoniou et al., 2023).

This research shows that short-term changes impact extreme risk interconnectedness more than medium- or long-term changes. Well-established market indices like AI-related stocks (MSFT, GOOG and NVDA) and Islamic banks (Saudi Arabia, UAE) consistently contribute to or transmit returns. In contrast, most AI-related tokens and Asian Islamic banks tend to receive shocks. Two indices related to gold and the uncertainty of the US dollar demonstrate potential for hedging and predictability in interconnectedness.

The results emphasize the vital role of short-term changes in diversifying a portfolio and managing risks, providing valuable insights for financial analysts and professionals in AI-related finance, Islamic banking and portfolio management.

The rising importance of AI-related stocks and tokens in investing has raised concerns about their compatibility with traditional financial instruments, especially in Islamic finance (Rabbani et al., 2023; Darehshiri et al., 2022; Yousaf et al., 2022). This paper examines the connections among AI-related stocks, AI-related tokens and Islamic banking indices to shed light on their correlations and potential impacts on the financial landscape.

The present study aims to examine the households’ attitudes and intentions to adopt an indoor air purifier against the smog crisis in India by using a comprehensive theoretical framework based on the combination of the Protective Action Decision Model (PADM) and the Theory of Planned Behavior (TPB). The United Nations Sustainable Development Goals (SDGs) 2030 also emphasized ensuring a healthy and safe life, especially by achieving SDG-3, SDG-11 and SDG-13.

Using purposive sampling, the data were collected through a survey questionnaire distributed to 382 households, and study hypotheses were assessed by using partial least squares structural equation modeling employing SmartPLS.

The results revealed that mental health risk perception (MHRP) was the most influential determinant of households’ attitudes toward adopting air purifiers, followed by smog knowledge, physical health risk perception (PHRP), information seeking and product knowledge. Notably, results revealed that households’ attitude is a leading determinant of their adoption intention toward the air purifier compared to subjective norms (SN) and perceived behavioral control (PBC).

To the best of the authors’ knowledge, the present study is the first to provide new insights into an individual’s protective behavior response toward ecological hazards by examining the households’ adoption intention toward the air purifier against the smog crisis using PADM and TPB model inclusively. In addition, the present study analyzes the impact of both PHRP and MHRP on individuals’ protective behavior separately. Also, this study provides theoretical contributions and important practical implications for the government, manufacturers and air purifier sellers.

This study aims to investigate whether various types of risks faced by the publicly listed commercial banks of India and Bangladesh are driven by market power and provides comparative insights from both economies.

By using the adjusted Lerner index to gauge bank market power and applying the generalised methods of moments (GMM) regression approach, the research delved into the relationship between bank market power and three distinct facets of risk across a sample of 26 publicly listed commercial banks in India and 22 listed banks in Bangladesh spanning from 2011 to 2022.

The results indicate that for Bangladesh, both “competition fragility” and “competition stability” viewpoints coexist simultaneously across all risk types, supporting a nonlinear relationship between market power and risk. However, in the Indian context, a nonlinear association exists only in the case of credit risk, while the relationship with insolvency risk is linear, substantiating the “competition fragility view”. Apart from market power and bank-specific variables, GDP growth rate has emerged as a prominent driver across all risk categories in both countries.

The filtration of banks is a limitation that might have influenced the outcomes. This study recommends that the Reserve Bank of India encourages further bank consolidation. Along the same line, Bangladesh Bank should closely oversee the growing competitive landscape. Furthermore, the regulators must monitor the elevated levels of non-performing loans to reduce credit risk so as to bolster the stability of their respective banking sectors.

This comparative study is the first attempt to analyse the market power and risk relationship and includes a novel bank-specific variable, i.e. technology, apart from other established variables.

This study aims to investigate the relationship between political instability and the performance of Islamic banks in emerging countries.

For a data sample of 93 Islamic banks in 20 emerging countries during the period from 2011 to 2016, the authors identify indicators that matter most for the activities of Islamic banks.

The study finds that a stable government and law and order are positively correlated with the health of Islamic financial institutions. On the other hand, corruption and military involvement in politics can create an unstable environment for businesses, leading to uncertainty and risk. The study also reveals that Islamic banks operating in regions or communities with lower risk of socio-economic conditions tend to exhibit higher levels of profitability.

Overall, the study provides valuable insights into the impact of political instability on Islamic banks in emerging countries.

Organizational resilience is a prerequisite to ensure preparedness and quick recovery from disruptions for an organization. However, there is scant literature that examines antecedents that are associated with resilience. This study aims to evaluate antecedents of organizational resilience considering three factors: sustainable supply chain management (SSCM), business model adaptation (BMA) and digitalization.

This study considers the dynamic capability view as a theoretical lens to formulate the hypotheses between the mentioned constructs. The authors test the hypotheses based on the data collected from 259 manufacturing companies. The authors consider structural equation modeling and mediation analysis to analyze the proposed hypotheses.

The results of structural equation modeling suggest that there is a positive association between SSCM and organizational resilience. Furthermore, the results suggest that digitalizing the business processes and deploying an adaptable business model can help organizations enhance their resilience levels.

This study contributes to the literature by identifying dynamic capabilities that can influence organizational resilience and extending the relevance of BMA and digitalization in the context of sustainability and resilience. Furthermore, this research informs managers on effective pathways for managing future disruptions.

This study aims to explore the prevalence and patterns of workplace sexual violence against women workers in Dhaka, Bangladesh.

This study used a mixed-methods approach to investigate workplace sexual violence against women workers in Dhaka, Bangladesh. Data collection spanned four months, using structured interviews, self-administered questionnaires and qualitative methods such as in-depth interviews and focus group discussions. A stratified random sampling technique ensured a diverse representation across sectors like garment manufacturing, domestic work and construction. Quantitative data from 384 respondents were analyzed using descriptive statistics and Pearson correlation analysis, while qualitative data provided practical insights into participants' experiences. Limitations included sample specificity to Dhaka, underreporting bias and potential biases in self-reported data, impacting generalizability and data validity.

The findings reveal significant demographic trends, with younger age groups (16–35 years) experiencing higher rates of harassment, particularly within the garment industry. Occupation-wise, garment workers report more incidents of harassment, while housemaids and child domestic workers face comparatively lower risks. The length of time in current employment shows mixed correlations with harassment prevalence. Fears of job loss, social stigma and reliance on internal resolution mechanisms within workplaces influence reporting behaviors.

This research highlights the urgent need for tailored interventions to protect young women in the garment sector and vulnerable occupations from sexual harassment. Policy reforms should enhance reporting mechanisms and address cultural barriers to reporting, ensuring safer workplaces and fair treatment for all female workers in Bangladesh.

This research contributes original insights by examining demographic correlates of sexual harassment across diverse occupations in Dhaka, Bangladesh. It uniquely identifies age-related vulnerabilities, occupational disparities and reporting behaviors, offering a comprehensive framework for understanding and addressing sexual violence in a critical socio-economic context.