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This article aims to highlight the stigmatization attached to the unemployment of educated youth in rural regions of Khyber Pakhtunkhwa province of Pakistan.

The study explicates the subjective experiences of the youth as being unemployed and societal attitudes toward them through an in-depth qualitative approach. A total of 30 unemployed male individuals were interviewed through an interview guide.

The study reveals that unemployed individuals are stigmatized and discriminately treated. They experience the difference in social support from their family and friends during unemployment, which is a discouraging aspect. This finding is in contrast to the existing literature on the subject in which family and friends are described as a major source of social support. As the study is conducted in the rural context, it is observed that local factors coupled with the joint family system have intensified negative attitudes toward the unemployed youth. Subsequently, the negative societal treatment serves as a factor for psychological challenges in their lives.

This article serves the need of exploring the experiences of unemployed individuals precisely in the Pakistani context.

Despite widespread acceptance and exponential growth of Islamic banking across many countries, research indicates some critical issues that can potentially downturn this industry. Literature suggests that like other stakeholders such as customers, some employees too have ambivalent attitude towards its concept and practices. This calls for an empirical assessment. As no such comprehensive instrument was available, this study aims to develop a scale measuring employees' attitude towards Islamic banking.

This scale development process begins with literature review pertinent to employees’ perspective in Islamic banking, followed by a series of steps critical to achieve robustness and to ensure validity and reliability of the instrument. Research methods include a detailed set of qualitative interviews, content validation, pilot testing and exploratory factor analysis with subsequent confirmatory factor analysis.

The final scale embodies five orthogonal dimensions: awareness of Islamic banking, usefulness of Islamic banking, perception of Shariah compliance, patronage towards Islamic banking and attractiveness towards Islamic banking.

This instrument may be used both by research scholars and practicing managers to measure employees’ attitude towards Islamic banking system and practices. It may also serve as a diagnostic tool to identify the areas of strength and weaknesses in the Islamic banking system as perceived by the employees themselves.

An instrument to measure employees’ attitude towards Islamic banking system is much needed as no such comprehensive instrument is available to the best of authors’ knowledge. The study attempts to fulfil this need.

The COVID-19 crisis has forced the majority of higher education institutions (HEIs) worldwide to transition to distance education. All countries have faced several challenges, such as the deteriorating economy, poor ICT infrastructure, and insufficient training, in their transition to distance education, with the severity of these challenges being remarkable for developing countries. This chapter aims to investigate tertiary students’ perceptions, attitudes, experiences, and expectations of their higher education journey amid COVID-19 across four developing countries: Lebanon, Afghanistan, Pakistan, and Bangladesh through an online questionnaire that was administered in each of these countries. This study found that many of the stances, attitudes, concerns, and challenges related to online learning experiences and the emergency status of higher education were common amongst the Lebanese, Afghani, Pakistani, and Bangladeshi participants. The participants across the four countries favored the physical classroom over online learning and identified the disadvantages of distance education that included lack of ICT skills, poor infrastructure, and insufficient training. The few differences that were identified across participants from these countries were mainly attributed to differences in contexts, including socio-economic and political contexts. These findings voice the concerns of one of the key stakeholders, tertiary students, that address the transition to distance education during emergency times and call for immediate intervention from decision and policy-makers.

The purpose of this paper is to explore the structural relationship between experiential loyalty and its seven drivers – interaction quality, physical environment quality, outcome quality, affective quality, experiential quality, experiential trust and experiential satisfaction in the context of Islamic banks.

The data used in this study were based on a convenience sample of 474 respondents from Jakarta, Bogor and Depok in Indonesia.

Interaction quality, physical environment quality and outcome quality positively influence experiential quality, which in turn, leads to experiential trust. Also, experiential trust has a positive influence on experiential satisfaction. Both experiential trust and experiential satisfaction are determinants of experiential loyalty.

The results will assist Islamic bank management in developing and implementing market-orientated service strategies to increase interaction quality, physical environment quality, outcome quality, affective quality experiential quality, experiential trust and experiential satisfaction in order to increase experiential loyalty.

This paper provides data that result in a better understanding of the relationships among interaction quality, physical environment quality, outcome quality, affective quality, experiential quality, experiential trust, experiential satisfaction and experiential loyalty in the context of Islamic banks.

This study aims to explore the potential determinants of customers’ satisfaction with the Islamic banking system and highlights the fact that both internal and external factors play key roles in customer satisfaction (CS) during the COVID-19 pandemic.

Primary data from six Islamic banks (Al Baraka Bank Ltd, BankIslami Pakistan Ltd, Burj Bank Ltd, Dubai Islamic Bank Ltd, Meezan Bank Ltd and MCB-Islamic Bank Ltd) were analysed using a binary logit method.

The results showed that internal factors such as hand sanitisation facilities, strict compliance with wearing a mask before entering the bank, the distance between customers and dealing officers, an organised network of branches (in terms of health safety protocols), the behaviour of dealing officers and extended banking hours contributed significantly to enhancing the satisfaction of Islamic banking customers during the pandemic in Pakistan. The results showed that high service charges on loans have a significant adverse impact on CS. Concerning external factors, the results showed that mass media platforms that can update customers about new services and customer transactions’ processing timing, the number of operational branches in the pandemic period, available parking space in front of a bank and recommendations from family and friends to open an account with a particular bank increase CS levels.

The study’s results will be helpful for the policymakers and practitioners to design such policies that can promote the Islamic banking system in developing countries such as Pakistan.

Under the pandemic situation, the present study highlights the internal and external determinants of Islamic banking customers’ satisfaction in Pakistan. The study provides a foundation for Islamic Banks to revise their policy frameworks and marketing strategies to attract customer interest and improve their satisfaction levels.

This study aims to identify the financial attributes of non-fungible tokens (NFTs) as safe havens, hedges or diversifiers against traditional (stock indices, foreign exchange, gold and government bonds) and digital (Bitcoin and Ethereum) assets.

The quantile via moments was utilized, and the data spanned from 20 September 2021 to 31 January 2022. The authors incorporated feasible generalized least squares (FGLS) and difference-generalized method of moments (diff-GMM) as the robustness check.

Overall, NFTs offer strongly safe havens, hedging and diversifier attributes against cryptocurrencies, while weak properties for traditional assets. The specific findings are: (1) Bored Ape Yacht Club (BAYC) serves as a strong hedge for Bitcoin during market rise; (2) Mutant Ape Yacht Club (MAYC) serves as a strong safe haven against Bitcoin during market bull; (3) Crypto punk (CP) provides strong safe havens properties for gold during market turmoil while serving as a strong hedge against gold and Bitcoin on average and (4) the three blue-chip NFTs are powered by Ethereum blockchain, thus serving as a diversifier against Ethereum.

Bitcoin investors are suggested to include NFTs in their investment portfolio to mitigate the losses when Bitcoin falls. Meanwhile, the inclusion of crypto punk is advised for risk-averse investors who invest in gold. NFTs are powered by the Ethereum blockchain, indicating co-movement among them and thus, serve as diversifiers. Policymakers and regulators are suggested to watch closely over NFTs' great development and restructure the existing policies and thus, stabilization of asset markets can be achieved.

The originality aspects are: (1) focusing on the three blue-chip NFTs (i.e. BAYC, MAYC and CP) that are categorized as the largest NFTs by floor market capitalization; (2) testing the NFT attributes (safe havens, hedges or diversifiers) against traditional and digital assets, a.k.a., cryptocurrencies and (3) panel setting on 14 countries with the highest NFT users.

This study attempts to examine the time-varying volatility spillovers between environmentally sustainable assets and quantify the value-at-risk of the portfolios across various frequencies.

To accomplish these objectives, this paper utilizes a connectedness index-based TVP-VAR model and applies the wavelet-based VaR ratio to daily data spanning from January 2018 to September 2023.

The empirical findings reveal a notable increase in the connectedness index between green stocks and green bonds during the COVID-19 crisis, signifying evidence of a contagion effect. The portfolio’s risk ratio also exhibited a sharp rise amid the pandemic, particularly over medium and long-term horizons, driven by increased spillover among green assets. Notably, our analysis indicates that green bonds influence the connectedness system between green stocks and the value-at-risk ratio, reducing volatility spillover and portfolio risk ratios across various investment horizons. These results highlight the role of green bonds as an effective diversification asset against the risks associated with green equities.

This research investigates the dynamic connectedness and value-at-risk ratio between eight green sectoral renewable energy and non-energy equities and green bonds. We put forward some portfolio implications for green investors with an environmental consciousness who desire to decarbonize their portfolios and mitigate environmental issues.

This paper aims to investigate the conditional equicorrelation and cross-quantile dependence between the DeFi, European and GCC currency markets (Oman, Qatar, Bahrain, Kuwait, Saudi Arabia and the United Arab Emirates).

This study applies the GARCH-DECO model and cross-quantilogram framework.

The findings reveal evidence of weak and negative average equicorrelations between the examined markets through time, excluding the COVID-19 outbreak and Russia–Ukraine conflict, which is consistent with the literature examining relationships in different markets. From the cross-quantilogram model, the authors note that the dependence between DeFi, EURO and GCC foreign exchange rate markets is greatest in the short run and diminishes over the medium- and long-term horizons, indicating rapid information processing between the markets under consideration, as most innovations are transmitted in the short term.

For the pairs of DeFi and currency markets, the static and dynamic optimal weights and hedging ratios are also estimated, providing new empirical data for portfolio managers and investors.

To the best of the authors’ knowledge, this is one of the most important research looking into the conditional correlation and predictability between the DeFi, EURO and GCC foreign exchange markets. More importantly, this study provides the first empirical proof of the safe-haven, hedging and diversification qualities of DeFi, EURO and GCC currencies, and this work also covers the COVID-19 pandemic and the Russia–Ukraine war with the use of a single dynamic measure produced by the GARCH-DECO model. In addition, the directional predictability between variables under consideration using the cross-quantilogram model is examined, which can be capable of capturing the asymmetry in the quantile dependent structure. The findings are helpful for both policymakers and investors in improving their trading selections and strategies for risk management in different market conditions.

The purpose of this paper is to explore the novel aspects of activation energy in the nonlinearly convective flow of Walter-B nanofluid in view of Cattaneo–Christov double-diffusion model over a permeable stretched sheet. Features of nonlinear thermal radiation, dual stratification, non-uniform heat generation/absorption, MHD and binary chemical reaction are also evaluated for present flow problem. Walter-B nanomaterial model is employed to describe the significant slip mechanism of Brownian and thermophoresis diffusions. Generalized Fourier’s and Fick’s laws are examined through Cattaneo–Christov double-diffusion model. Modified Arrhenius formula for activation energy is also implemented.

Several techniques are employed for solving nonlinear differential equations. The authors have used a homotopy technique (HAM) for our nonlinear problem to get convergent solutions. The homotopy analysis method (HAM) is a semi-analytical technique to solve nonlinear coupled ordinary/partial differential equations. The capability of the HAM to naturally display convergence of the series solution is unusual in analytical and semi-analytic approaches to nonlinear partial differential equations. This analytical method has the following great advantages over other techniques:

• It provides a series solution without depending upon small/large physical parameters and applicable for not only weakly but also strongly nonlinear problems.

• It guarantees the convergence of series solutions for nonlinear problems.

• It provides us a great choice to select the base function of the required solution and the corresponding auxiliary linear operator of the homotopy.

It provides a series solution without depending upon small/large physical parameters and applicable for not only weakly but also strongly nonlinear problems.

It guarantees the convergence of series solutions for nonlinear problems.

It provides us a great choice to select the base function of the required solution and the corresponding auxiliary linear operator of the homotopy.

Brief mathematical description of HAM technique (Liao, 2012; Mabood et al., 2016) is as follows. For a general nonlinear equation:

where N denotes a nonlinear operator, x the independent variables and u(x) is an unknown function, respectively. By means of generalizing the traditional homotopy method, Liao (1992) creates the so-called zero-order deformation equation:

here q∈[0, 1] is the embedding parameter, H(x) ≠ 0 is an auxiliary function, h(≠ 0) is a nonzero parameter, L is an auxiliary linear operator, u_o(x) is an initial guess of u(x) and u ˆ ( x ; q ) is an unknown function, respectively. It is significant that one has great freedom to choose auxiliary things in HAM. Noticeably, when q=0 and q=1, following holds:

Expanding u ˆ ( x ; q ) in Taylor series with respect to (q), we have:

If the initial guess, the auxiliary linear operator, the auxiliary h and the auxiliary function are selected properly, then the series (4) converges at q=1, then we have:

By defining a vector u → = ( u o ( x ) , u 1 ( x ) , u 2 ( x ) , … , u n ( x ) ) , and differentiating Equation (2) m-times with respect to (q) and then setting q=0, we obtain the mth-order deformation equation:

where:

Applying L⁻¹ on both sides of Equation (6), we get:

In this way, we obtain u_m for m ⩾ 1, at mth-order, we have:

It is evident from obtained results that the nanoparticle concentration field is directly proportional to the chemical reaction with activation energy. Additionally, both temperature and concentration distributions are declining functions of thermal and solutal stratification parameters (P₁) and (P₂), respectively. Moreover, temperature Θ(Ω₁) enhances for greater values of Brownian motion parameter (N_b), non-uniform heat source/sink parameter (B₁) and thermophoresis factor (N_t). Reverse behavior of concentration ϒ(Ω₁) field is remarked in view of (N_b) and (N_t). Graphs and tables are also constructed to analyze the effect of different flow parameters on skin friction coefficient, local Nusselt number, Sherwood numbers, velocity, temperature and concentration fields.

The novelty of the present problem is to inspect the Arrhenius activation energy phenomena for viscoelastic Walter-B nanofluid model with additional features of nonlinear thermal radiation, non-uniform heat generation/absorption, nonlinear mixed convection, thermal and solutal stratification. The novel aspect of binary chemical reaction is analyzed to characterize the impact of activation energy in the presence of Cattaneo–Christov double-diffusion model. The mathematical model of Buongiorno is employed to incorporate Brownian motion and thermophoresis effects due to nanoparticles.

The purpose of this paper is to address the impact of gravity induced stretching flow of second grade liquid subject to thermal radiation. The flow is generated by the stretching of an impermeable cylinder. Stagnation point flow is considered. Convective type boundary conditions are applied on temperature and concentration. The present investigation further includes the aspects of magnetohydrodynamics, Joule heating, chemical reaction and viscous dissipation and heat generation/absorption.

The ordinary differential expressions are formed using suitable similarity transformations from the governing partial differential expressions. The subsequent nonlinear ordinary differential expressions are solved analytically using homotopy concept to report the consequences of different dimensionless physical parameters in graphical and tabular forms.

The results witnessed that increasing values of curvature parameter corresponds to higher temperature and concentration. Besides this, the impacts of destructive and constructive chemical processes on the concentration distribution are noted opposite.

No such analysis has yet been reported.