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The purpose of this study is to examine the accuracy of combined models with the individual models in terms of forecasting Euro against US dollar during COVID-19 era. During COVID, the euro shows sharp fluctuation in upward and downward trend; therefore, this study is keen to find out the best-fitted model which forecasts more accurately during the pandemic.

The descriptive design has been adopted in this research. The three univariate models, i.e. autoregressive integrated moving averages (ARIMA), Naïve, exponential smoothing (ES) model, and one multivariate model, i.e. nonlinear autoregressive distributive lags (NARDL), are selected to forecast the exchange rate of Euro against the US dollar during the COVID. The above models are combined via equal weights and var-cor methods to find out the accuracy of forecasting as Poon and Granger (2003) showed that combined models can forecast better than individual models.

NARDL outperforms all remaining individual models, i.e. ARIMA, Naïve and ES. By applying a combination of different models via different techniques, the combination of NARDL and Naïve models outperforms all combination of models by scoring the least mean absolute percentage error value, i.e. 1.588. The combined forecasting of NARDL and Naïve techniques under var-cor method also outperforms the forecasting accuracy of individual models other than NARDL. It means the euro exchange rate against the US dollar which is dependent upon the macroeconomic fundamentals and recent observations of the time series.

The findings could help the FOREX market, hedgers, traders, businessmen, policymakers, economists, financial managers, etc., to minimize the risk indulged in global trade. It also helps to produce more accurate results in different financial models, i.e. capital asset pricing model and arbitrage pricing theory, because their findings may not be useful if exchange rate fluctuations do not trace effectively.

The NARDL models have been applied previously in different time series and only limited to the asymmetric or symmetric relationships. This study is using it for the forecasting exchange rate which is almost abandoned in earlier literature. Furthermore, this study combined the NARDL with univariate models to produce the accuracy which itself is a novelty. Moreover, the findings help to enhance the effectiveness of different financial theories as well.

The purpose of this paper is to investigate the service quality of wireless telecommunication services in the UAE.

This study uses the five dimensions of SERVQUAL instrumentation (reliability, assurance, tangibility, empathy and responsiveness) that are believed to represent service quality to approach a result of service quality level through comparing customers’ expectations to their perceptions. A SERVQUAL survey was constructed and distributed among a total number of 100 Etisalat users from four different age groups.

The results showed a significant difference between users’ expectations and the current level of quality of services in tangibility dimension of quality. The other variables were ranked in this order, assurance, reliability, responsiveness and empathy in service quality.

The research findings encompass individuals from society only and may not be practical to generalize the findings to business organizations or industries as they have special offers and packages designed for their nature of the study.

This research is intensely valuable for Etisalat telecommunication company as it reflects and rates their service provided to the individuals of the society (citizens and residents) from five different critical dimensions. Consequently, it offers the firm the chance to improve the negative gaps in their services. Thus, higher customer satisfaction and loyalty.

This study demonstrated that a multi-cultural society could influence customers’ expectations and perceptions of service quality. The study results showed opposing expectations and perceptions to the same dimension from people of the same age group. The highest gaps were found to be in the tangibility and assurance dimensions whilst the lowest gap was found in the empathy dimension.

Organizations are facing pressure to reduce costs of training and enhancing the role of self-development that is self-driven and contextual in nature as a means to supplement employee development. The purpose of this study is to investigate the influence of individual and situational factors on self-development as well as the moderating role of situational factors. Individual factors are referred to personal characteristics, i.e. learning goal orientation and proactive personality, while situational factors are environmental conditions, including job autonomy and empowering environment.

Data were gathered from 280 middle managers of the banking sector. Partial least squares structural equation modeling was conducted to validate the model.

The study findings revealed a significant direct relationship of individual (learning goal orientation and proactive personality) and situational (empowering environment and job autonomy) factors with self-development. The study also found only a significant moderating effect of empowering environment in relation to learning goal orientation and self-development, correspondingly job autonomy moderates the relationship of proactive personality and self-development.

The study concludes with offering some implication for organization to focus on self-development activities by providing an empowering environment and job autonomy to its employees, which will result to minimize the overall cost of training. Organizations should also identify the individual factors that lead to self-development like proactive personality and learning goal orientation.

This study gives new insight on the predictors of self-development and their interaction. This study may be a pioneer to empirically validate a theoretical model about the interaction of situational factors between individual factors and self-development. Furthermore, it contributes and advances our knowledge by demonstrating how individual and situational factors are influencing middle mangers’ self-development in workplace.

Drawing from social exchange theory, the purpose of this study is to investigate the influence of servant leadership on organizational citizenship behavior, turnover intentions and work performance through mediating role of job embeddedness.

The data were gathered from 252 frontline employees of Pakistan's hotel industry in two-time lags with an interval of two months by using purposive sampling. PLS-SEM was applied for the analysis of data and hypothesis testing.

The study ascertained that job embeddedness is a potent mediator between the nexus of servant leadership and aforementioned work outcomes. The study results portray that servant leadership promotes job embeddedness, OCB, work performance and reduces turnover intentions.

Hotel management can use job embeddedness to boost servant leadership and reduce turnover intentions. In addition, management should also increase servant leadership by organizing training and workshops for their managers, which ultimately improves followers' organizational citizenship behavior and work performance.

Hotel management can use job embeddedness to boost OCB, work performance and reduce turnover intentions. In addition, management should also increase servant leadership by organizing training and workshops for their managers, which ultimately improves followers' citizenship behavior and work performance.

There are numerous calls for research to ascertain as well as sparse literature available whether job embeddedness act as a mediator in the nexus of servant leadership and work outcomes or not. The current study fills these voids and contributes to the literature by empirically examining the mechanism of job embeddedness between servant leadership and the work outcomes.

The purpose of this study is to investigate the impact of leverage, regulatory capital and tier-I capital ratios on the ex ante and ex post risk of Japanese banks.

To test the hypotheses, the authors have implemented a panel of 507 commercial and cooperative banks of Japan over the period extending from 2001 to 2020, using a two-step system Generalized Method of Moments (GMM) framework.

The overall sample banks' results show that the impact of leverage, regulatory capital and tier-I capital ratios on ex ante and ex post risk is positive. The findings reveal that the effects of regulatory and tier-I capital ratios on ex post risk are negative (positive) for commercial (cooperative) banks, high-liquid, low-liquid and high-growth banks in Japan. In addition, the regulatory capital ratio is more beneficial for risk due to its power to absorb losses. The lagged coefficient indicates that banks require more time to adjust their ex post and ex ante risk during crisis period than during normal economic conditions.

The heterogeneity in results has practical implications for regulators, policymakers and bank managers in formulating the capital requirement guidelines with respect to ex ante and ex post risk across different categories and characteristics of banks.

To the best of the authors' knowledge, this is the first study investigating the impact of leverage, regulatory capital and tier-I capital ratios on the ex ante and ex-post risk of Japanese commercial and cooperative banks over the period from 2001 to 2020. The insights into the impact of leverage, regulatory capital and tier-I capital ratios on the ex ante and ex post risk of well-capitalized, under-capitalized, high and low-liquid banks are new in the context of Japan.

This study aims to investigate and model interrelationships between process parameters, geometrical profile characteristics and mechanical properties of industrially extruded aluminum alloys.

Statistical design of experiments (DOE) was applied to investigate and model the effects of eight factors including extrusion ratio, stem speed, billet-preheat temperature, number of die cavities, quenching media (water/air), time and temperature of artificial aging treatment and profile nominal thickness on four mechanical properties (yield strength, ultimate tensile strength, percent elongation and hardness). Experiments were carried out at an actual extrusion plant using 8-in. diameter billets on an extrusion press with 2,200 ton capacity.

Main factors and factor interactions controlling mechanical properties were identified and discussed qualitatively. Quantitative models with high prediction accuracy (in excess of 95%) were also obtained and discussed.

The obtained results are believed to be of great importance to researchers and industrial practitioners in the aluminum extrusion industry.

All practical and relevant parameters have been used to model all important mechanical properties in a collective manner in one study and within actual industrial setup. This is in contrast to all previous studies where either a partial set of parameters and/or mechanical properties are discussed and mostly under limited laboratory setup.

Based on trait activation theory, the purpose of the present study is to explore the relationship between the antecedents and outcomes of informal learning with the moderating effect of supervisor feedback environment (SFE) in small- and medium-sized enterprises (SMEs).

Data (n = 388) were gathered from middle managers of Pakistan’s SME sector by following the purposive sampling technique. The proposed model was examined by means of structural equation modeling analysis with AMOS 24.

The study results delineate that middle managers with high-level self-efficacy and motivation to learn more actively participate in informal learning activities. The study also found that the SFE is a strong contextual moderator between the nexus of personal factors and informal learning. In addition, informal learning also has significant and positive effect on work engagement.

Human resource practitioners and organizational leaders of small businesses can use informal learning to improve employees’ skills and knowledge with less cost. For instance, management should use different strategies to enhance the effectiveness of informal learning by providing SFE.

There are numerous recent calls for research to ascertain the interaction of individual, contextual factors and outcomes of informal learning. The study addresses these voids by empirically examining antecedents and outcomes of informal learning simultaneously through the person–situation interaction perspective. It demonstrates that informal learning at the workplace becomes more effective in SFE.

This study aims to examine the relationship between financial development (FD), financial risk, green finance and innovation related to carbon emissions in the G7 economies.

This quantitative study examines the roles that financial development [FD: Domestic credit to private sector by banks as percentage of gross domestic product (GDP)], economic growth (GDP: Constant US$ 2015), financial risk index (FRI), green finance (GFIN: Renewable energy public research development and demonstration (RD&D) budget as percentage of total RD&D budget), development of environment-related technologies (DERTI: percentage of all technologies) and human capital (HCI: index) have on the environmental quality of developed economies. Based on panel data, the study uses a novel approach method of moments quantile regression as a main method to tackle the issue of cross-sectional dependency, slope heterogeneity and nonnormality of the data.

The study confirms that increasing economic development increases emissions and negatively impacts the environment. However, efficient resource allocation, improved financial systems, and green innovation are likely to contribute to emission mitigation and the overall development of a sustainable viable economy. Furthermore, the study highlights the importance of risk management in financial systems for future emissions prevention.

The study uses a reliable estimation procedure, which extends the discussion on climate policy from a COP-27 perspective and offers practical implications for policymakers in developing more effective emission mitigation strategies.

The study offers policy suggestions for a sustainable economy, focusing on both COP-27 and the G7 countries. Recommendations include implementing carbon pricing, developing carbon capture and storage technologies, investing in renewables and energy efficiency and introducing financial instruments for emission mitigation. From a COP-27 standpoint, the G7 should prioritize transitioning to low-carbon economies and supporting developing nations in their sustainability efforts to address the pressing challenges of climate change and global warming.

In comparison to the literature, this study examines the importance of financial risk for G7 economies in promoting a sustainable environment. More specifically, in the context of FD and national income with carbon emissions, previous researchers have disregarded the importance of green innovation and human capital, so the current study fills the gap in the literature related to G7 economies by exploring the link between the identified variables related to carbon emissions.

The purpose of this study is to examine the perception and acceptability of insurance policyholders to introduce takāful in India. The primary focus of this research is insurance policyholders because they currently have insurance policies and it is believed that they are familiar with the concept of insurance, compared to the people who do not have any insurance policy.

New product diffusion theory is used in developing the hypothesis and a questionnaire. In this research, the population is unknown, and hence, the non-probability sample is used. Quota sampling and snowball sampling methods are used in this survey, with a sample size of 909 respondents, including Muslim and non-Muslim policyholders. The external factors that motivate potential policyholders to participate in takāful are the independent variable here; while the respondents’ actual willingness to participate in takāful is the dependent variable. Regression analysis is performed to analyse the data.

Based on 909 respondents, it is found that the factors such as cost vs benefits, marketing and promotion and social and religion play a significant role in a consumers’ decision-making at 1% significant level overall. The attribute of agents can influence the consumers at a 10% significant level overall. However, other factors, namely, accessibility, availability and service quality, product features and reputation of the company cannot pursue the consumers in India.

The questionnaires are distributed in 10 cities from nine states out of 28 states in India. Thus, it covers only one-third of the states. Future research can expand the respondents from other states that have not been researched.

India is opening to foreign investments in the Indian insurance industry, and thus, the findings are useful for industrial players, investors, policymakers for the development of takāful in India.

Limited research has been done in previous studies and this research is the pinnacle within-depth survey regarding takāful in India.