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This paper aims to examine the relationship between trade and economic growth using data of UAE economy for the period of 1974-2011.

The bounds testing is applied for testing the cointegration relationship between the variables. The rolling window approach has been used to analyze the stability of long run coefficients.

The empirical analysis shows the presence of cointegration between trade and economic growth. Furthermore, exports have positive, but imports have negative effect on economic growth. The rolling window approach confirms the stability of long-run estimates.

This paper provides new insights for policymakers to use trade as economic tool for sustainable economic development.

This paper makes a unique contribution to the literature with reference to UAE, being a pioneering attempt to investigate the relationship between trade and economic growth by using long time series data and applying more rigorous techniques like time varying rolling window analysis.

This study aims to examine university students’ acceptance of e-learning systems in Pakistan. A Web-based learning system is a new form of utilizing technological features. Although, developed countries have initiated and established the concept for e-learning, developing countries require empirical support to implement e-learning.

This paper further explains a conceptual model that is based on the technology acceptance model (TAM). Earlier theories such as the theory of reasoned action (TRA), theory of planned behaviour (TPB) and decomposed theory of planned behaviour (DTPB) have been conducted on user behavioural intention (BI). TAM is considered as the most relevant framework in a Web-based context. To analyse the present study’s hypothesized model, structural equation modelling (SEM) has been used to statistically analyse self-reported sample data from 424 university students.

The results revealed that TAM, with the combination of new constructs, explains university students’ acceptance of the e-learning system reasonably well. Additionally, work life quality (WLQ) and facilitating conditions (FC) have a greater influence on the BI and the actual use (AU) of the e-learning system, respectively.

The study has also provided valuable implications for academics and practitioners for ways to enhance the acceptance of the e-learning system in the higher education of Pakistan.

The promising factor for success in a prevailing knowledge-based economy is the excellence in customer service. Private universities are now becoming customer- and service-oriented organizations due to the competition. Therefore, many educational institutions treat their students as customers and restructure their educational practice based on the concept of market consumption. Therefore, many educational institutions treat their students as customers and restructure their educational practice. The purpose of this study is to determine the students' preferences as customers while studying at private universities and factors that affect their intentions to study at private universities when they adopt the student-as-customer concept.

The research model is analyzed with structural equation modeling. The analysis is done with the application of the measurement model and the structural model. The measurement model is first evaluated by examining scale reliability, convergent validity and discriminant validity, whereas the assessment of the structural model is conducted for determining the predictive power and analyzing the hypothesized relationships between the proposed constructs through path analysis.

In the paper, seven path shows a significant and positive relationship. However, four relationships are positive but insignificant.

This study contributes to the literature theoretically as well as methodologically. Moreover, it is among the first research that is being conducted in Karachi. Secondly, this study developed a hybrid model by integrating one theory and a conceptual model to determine the factors affecting students' attitudes toward acceptance of the student-as-customer concept and their intentions. Therefore, this paper is useful in filling the gap in the higher education literature and also provides direction for universities to consider and prepare for the consequences of the concept's adoption associated with the number of students who intend to study at their universities.

This study’s objectives are twofold; first, this paper aims to explore the determinants of perceived benefit and perceived risk of Islamic Fintech. Second, this study examines the influence of perceived benefit, perceived risk and user trust on the intention to adopt Islamic Fintech.

The sample of 350 was distributed among the respondents, while a usable sample of 321 was retained for the analysis. The study performed a self-administration survey to collect the sample data while the hypothesized model was tested using SmartPLS.

The results revealed that perceived benefit and perceived risk were significant and positively influenced by their factors. Moreover, perceived benefits showed a positive and significant impact on trust. However, perceived risk had a negative and significant impact on trust. The results also found a strong positive and significant relationship between trust and intention to adopt Islamic Fintech.

The outcome of this research may be used to develop strategies for Fintech and enables the financial sector to attain economies of scale in the world.

The lockdown in the spring of 2020 significantly disrupted businesses. Unquestionably, countless dealers who had to shut their shops for weeks were hit hardest by the crisis. Similarly, consumers also face many difficulties, especially in emerging economies. At this time, e-commerce is the only available option that people can use to fulfill their needs. In developing states, people prefer to buy things from shops. Hence, it raises a concern about whether people will adopt e-commerce in the COVID-19 pandemic. The study aims to examine the consumers’ intention to adopt e-commerce by incorporating corona fear as a moderator.

The statistical techniques applied to the data set were confirmatory factor analysis and partial least square structural equation modeling.

The findings depict that perceived usefulness, perceived ease of use, subjective norms, perceived lack of alternatives are positively and significantly connected with the intention to adopt e-commerce. However, perceived risk, perceived behavioral control and attitude have a positive but insignificant effect. Additionally, moderating analysis results depict that corona fear moderates the associations between perceived risk, perceived usefulness, subjective norms and attitude. However, no moderating effect is found in perceived ease of use and perceived behavioral control.

The present research is the initial attempt that analyzes consumers’ intention to accept e-commerce during the corona pandemic in a country like Pakistan, where the trend of physical shopping is more favorable among consumers. Also, it includes the moderating role of corona fear to understand how this fear has shaped the consumers’ intention to shop online? Additionally, the technology acceptance model framework is expanded by including perceived risk and perceived lack of alternatives in the research model.

This paper aims to investigate the factors affecting intentions to select Islamic credit cards in Pakistan by using the theory of reasoned action (TRA) model. In general, bank customers are aware of credit card facility, but the leading factors to select Islamic credit cards are particularly unexplored. Due to this fact, the study examined the effect of subjective norm (SN) and attitude (ATT) with the inclusion of new construct, namely, perceived financial cost (PFC) to predict the intention of customers about the Islamic credit card in Pakistan.

Sample data were conveniently drawn from the bank customers with the help of a self-administered survey based questionnaire, which was consisted over five-point Likert scale. The study uses a sample of 492 bank customers located in the biggest city of Pakistan. Out of these responses, only 466 responses were used in the analysis, while the remaining responses were ignored due to missing data and incomplete responses. The data were analyzed through factor and regression analysis.

Findings from regression analysis suggest that SN and ATT show positive and significant impact on intentions to select an Islamic credit card, while PFC has a negative impact on intentions to select Islamic credit cards. Moreover, SN was found to be the most influential factor to predict the selection of Islamic credit card.

This study has some practical implications for the academicians and Islamic bank managers. Through this research, bank managers can educate their customers about Islamic credit and financial products. Not only this, they should develop a strategy for the awareness of Islamic banking products through social networking and other marketing modes. On the other side, this study laid a foundation for future researchers to explore additional predictors of Islamic credit card. Their empirical work will provide a help to benefit and understand customers’ financial knowledge.

Islamic credit facility is entirely new in Pakistan and lacking with empirical support. Therefore, this investigation contributes to the existing body of knowledge by providing a comprehensive explanation on the Islamic credit card service in Pakistan.

The purpose of this paper is to examine the impact of case study-based learning on student’s engagement, learning motivation and learning performance among university students of Pakistan.

The research model is analyzed with structural equation modeling. The analysis is done with the application of the measurement model and the structural model.

The findings revealed that case study-based learning enhances student engagement, and a significant and positive relationship between case-based learning and all four aspects of engagement, i.e. behavioral, emotional, cognitive and agentic engagement, was observed statistically. According to the findings, case-based learning leads toward an understanding of concepts learned in class and the development of skills among students and results in the enhancement of learning motivation. Furthermore, it is suggested by the results that the impact of student engagement on learning performance varies with respect to its different aspects. As among all the four aspects, only agentic engagement was found to be statistically significant in establishing the link with the learning performance of the students.

The mixed findings pertaining to the impact of student engagement’s aspects on learning performance of the students pave the way for future research. The future researchers should incorporate individual traits and the specific context to analyze the relationships between the proposed constructs because students vary in their responses to learning activities.

The present study holds significance for the field of educational research and emphasizes the importance of incorporating case-based teaching in the higher education curriculum in order to ensure the implementation of effective learning strategies. Also, this research will be beneficial for future researchers in understanding the phenomenon of student learning and engagement.

In view of the limited academic literature in the Asian context, the present study extends the findings and examined the impact of case-based learning on student’s engagement, student’s learning motivation and the role of such engagement in enhancing learning performance of university students.

The purpose of this study is to examine the factors which affect mobile banking (M-banking) acceptance in Islamic banks of Pakistan by using the modified unified theory of acceptance and use of technology (UTAUT) model. The performance expectancy, facilitating conditions, social influence, effort expectancy, perceived value, habit and hedonic motivation are taken as independent variables. Similarly, the intention to adopt M-banking is taken as the mediator, and actual usage is used as the dependent variable.

The data are collected by using the survey method, and the five-point Likert scale is used for this purpose. The statistical techniques applied to the dataset were confirmatory factor analysis and partial least square structure equation modeling.

The empirical evidence shows that all the variables except for social influence have a significant positive effect on the intention which results in actual usage.

This study will help the Islamic banks in boosting the M-banking growth and decision-makers in crafting those strategies that increase the M-banking acceptance.

This paper makes a unique contribution to the literature with reference to Pakistan, being a pioneering attempt to investigate the factors which affect M-banking acceptance in Islamic banks of Pakistan by using the modified UTAUT model.

Local foods from the perspective of tourism play a significant role to attract tourists. Surprisingly, empirical evidence on food tourism is quite scarce. The purpose of this paper is to develop and investigate a conceptual framework on tourist satisfaction, loyalty and word of mouth (WOM) to select local foods in Pakistan.

The study uses a quantitative approach while convenience (non-probability) sampling is used to collect a sample of 286 final responses using a survey-based questionnaire. The study employed exploratory factor analysis and confirmatory factor analysis to stabilize the factor structure. The conceptual model is then tested under the assumptions of structural equation modeling.

The findings indicate that food quality, perceived environmental quality, perceived value and service quality has a significant impact on the tourist’s satisfaction. However, interpersonal interaction quality shows an insignificant influence on satisfaction. Moreover, satisfaction has a significant impact on loyalty while loyalty further shows a significant effect on tourist WOM. Overall, the authors found satisfaction and loyalty are the major contributors to the hypothesized model.

The conceptual framework and study findings will support practitioners and researchers to understand the factors that influence a tourist’s selection of local foods. Additionally, the study provides a useful policy to gain long-term economic benefits for the tourism sector in Pakistan.

To the authors’ best knowledge, this study is the first attempt to explore WOM behavior in tourism research focusing on the critical role of satisfaction and loyalty. The authors are certain that the findings will contribute significantly to the existing body of knowledge.

The present research aims to investigate the impact of “COVID-19 phobia” factors (psychological, social, economic and psychosomatic) on career anxiety and perceived distress. Further, this research assesses whether career anxiety and perceived distress foster or diminish students' employability confidence.

“Partial Least Squares Structural Equation Modeling (PLS-SEM)” has been used to analyze the data.

The results depict that factors (psychological, economic and psychosomatic) are positively and significantly associated with career anxiety and perceived distress. However, social factors indicate an adverse impact on perceived distress. Further, career anxiety and perceived distress positively influence employability confidence, but the associations are not highly impactful.

This research elucidates an unexplored phenomenon in the context of a developing country that coronavirus disease 2019 (COVID-19) phobia scale (i.e. psychological, social, economic and psychosomatic) result in career anxiety and distress. Moreover, no studies highlighted the direct impact of career anxiety and perceived distress on employability confidence.