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Asset intensive process industries are under immense pressure to achieve promised return on investments and production targets. This can be accomplished by ensuring the highest level of availability, reliability and utilization of the critical equipment in processing facilities. In order to achieve designed availability, asset characterization and maintainability play a vital role. The most appropriate and effective way to characterize the assets in a processing facility is based on risk and consequence of failure. The paper aims to discuss these issues.

In this research, a risk-based stochastic modeling approach using a Markov decision process is investigated to assess a processing unit's availability, which is referred as the risk-based availability Markov model (RBAMM). RBAMM will not only provide a realistic and effective way to identify critical assets in a plant but also a method to estimate availability for efficient planning purposes and resource optimization.

A unique risk matrix and methodology is proposed to determine the critical equipment with direct impact on the availability, reliability and safety of the process. A functional block diagram is then developed using critical equipment to perform efficient modeling. A Markov process is utilized to establish state diagrams and create steady-state equations to calculate the availability of the process. RBAMM is applied to natural gas absorption process to validate the proposed methodology. In the conclusion, other benefits and limitations of the proposed methodology are discussed.

A new risk-based methodology integrated with Markov model application of the methodology is demonstrated using a real-life application.

This study aims to explore the influencing factors on college students’ behaviours of spreading Internet public opinion on emergencies in colleges and universities. This study provides a reference for these institutions to cope with and reduce the influence of Internet public opinion on emergencies and maintain their normal teaching order.

In this study, a research model by using motivation theory and design a questionnaire on the basis of relevant literature are constructed. This paper surveys college students and collects a total of 317 valid questionnaires. On the basis of the reliability and validity of the questionnaire, this study verifies the proposed model by using Smart PLS.

The results show that social motivation and information source preference have significant positive influences on college students’ willingness to spread Internet public opinion on emergencies in colleges and universities. Moreover, information source preference has a significant moderating effect on the relationship between social motivation and dissemination willingness. If college students’ information source preference is high, then the moderating effect is significant. The extent of college students’ interaction and involvement has a significantly positive influence on their trust in the dissemination platform for Internet public opinion on emergencies in colleges and universities. Egoism has a significantly positive influence on the social motivation of college students to spread Internet public opinion on emergencies in colleges and universities. Involvement degree has a significant moderating effect on the relationship between social motivation and trust. If college students’ involvement degree is low, then the moderating effect is significant. Thus, when the involvement of college students in Internet public opinion on emergencies in colleges and universities is low, the influence of social motivation on trust is great.

This study increases the influencing factors in the literature on Internet public opinion, enriches the research theory of Internet public opinion on emergencies in colleges and universities and expands the application scope of the theory of social motivation. The conclusion provides guidance for colleges and students to govern Internet public opinion on emergencies and improve the ability of these institutions in dealing with Internet public opinion on emergencies.

Pakistan has long been regarded as one of the most vulnerable countries to climate change. The Food and Agriculture Organisation of the United Nations promotes conservational agricultural practices (CAP); however, they received little attention. Therefore, this study aims to explore the antecedents of farmers’ intention to adopt CAP with empirical evidence to enhance CAP in developing countries.

Using a random sampling strategy, the data has been gathered from 483 Pakistani’s farmers of the most agriculture-producing province, Punjab and Sindh via a questionnaire survey. Regression-analysis (Haye’s process approach) is implied for testing the hypothesis.

The findings indicated that a farmer’s environmental orientation positively affects the farmer’s intention to adopt CAP. Furthermore, the farmer’s attitude towards agricultural production and the farmer’s belief in climate change also positively moderate the relationship.

Based on findings, this research suggests a need for efforts by the government to encourage farmers to engage themselves in technical support for the adoption of CAP. The educational campaigns and training sessions need to be arranged by the government for this purpose. This may help the farmers to adopt strategies relating to climate change concerning their education, credit access and extension services.

This paper explores the antecedents of farmers' intention for CAP in Pakistan. The empirical evidence previously missing in the body of knowledge will support the governments, researchers and FAO to establish a mechanism for enhancing CAP in developing countries like Pakistan. Further research is recommended to explore the outcomes of farmers' intentions to adopt more CAP to gauge the effectiveness of adaptation strategies

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 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 find the determinants of internal and external customer satisfaction of Islamic banks of Pakistan through service quality indicators that are assurance, reliance, empathy, tangibility, responsiveness. Compliance has also been added as a determinant of customer satisfaction. In this study, customers are divided into two groups, internal customers are those who are an employee in the Islamic bank and also an account holder. While external customers are account holders only in Islamic banks of Pakistan.

In this study, a quantitative research approach is used for analyzing the behavior of internal and external customers of Islamic banks in Pakistan. The instrument which is used to analyze the study’s data, is a structured five-point Likert-scale questionnaire. The structural model was analyzed with the help of the partial least squares structural equation modeling approach.

This study concluded that internal customers of Islamic banking are well aware and have full information and their level of satisfaction is positive toward the bank’s services. While external customers feel satisfied while using the Islamic banking services in Pakistan. Service quality indicators are positively and significantly related to customer satisfaction in the external customer model. On the other hand, some of the indicators are not showing a significant impact on the internal customer multi-group analysis shows a difference of coefficients are insignificant between internal and external customers.

This study helps policymakers, to understand the behavior of internal and external customers of Islamic banking in Pakistan for creating favorable policies for an interest-free banking service.

This research study provides an analysis of the customer satisfaction of Islamic banks in Pakistan by dividing Islamic bank customers into two groups (internal and external customers). The purpose for dividing Islamic bank customers into two groups is that this study wants to highlight that external customer’s perception is the same as internal customers or not? Before this study, it is difficult to find single research on this topic, whereas only one study is find-out on the factors that affect internet banking adoption among internal and external customers.

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.

The emergence of electronic learning during the COVID-19 outbreak has been the way by which higher education has attempted to save the situation. However, e-learning still causes psychological distress because of its crackups and fear. Hence, the authors aim to study the impact of e-learning crackup on fear of academic year loss and psychological distress by incorporating university support as a moderator.

Partial least squares structural equation modeling (PLS-SEM) has been used to analyze data.

The results depict that e-learning crackup fosters students' fear of academic year loss, but e-learning crackup has an insignificant impact on psychological distress. However, psychological distress is driven by fear of an academic year loss. Lastly, university support moderates the relationship between e-learning crackup and psychological distress, but no moderating role exists between fear of academic year loss and psychological distress.

The recent pandemic has severely affected the mental health of students. Therefore, it is crucial to study the reasons that foster distress among them. But, unfortunately, there is a prominent absence of research for inspecting students' psychological distress because of the e-learning crisis, especially in the wake of COVID-19.

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.

Wealth Management Products (WMPs) are the largest and most crucial component of China's Shadow banking, which are off the balance sheet and considered as a substitute for deposits. Commercial banks in China are involved in the issuance of WMPs mainly to; evade the regulatory restrictions, move non-performing loans away from the balance sheet, chase the profits and take advantage of yield spread (the difference between WMPs yield and deposit rate).

In this study, the authors investigate what bank related characteristics and needs; influenced and prompted the issuance of WMPs. By using a quarterly panel data from 2010 to 2019, this study performed the fixed effects approach favored by the Hausman specification test, and a feasible generalized least square (FGLS) estimation method is employed to deal with any issues of heteroscedasticity and auto-correlation.

This study found that there is a positive and significant association between the non-performing loan ratio and the issuance of WMPs. Moreover, profitability and spread were found to play an essential role in the issuance of WMPs. The findings of this study suggest that WMPs are issued for multi-purpose, and off the balance sheet status of these products makes them very lucrative for regulated Chinese commercial banks.

Non-guaranteed WMPs are considered as an item of shadow banking in China, as banks do not consolidate this type of WMPs into their balance sheet; due to that reason, there is no individual bank data available for the amount of WMPs. The authors use the number of WMPs issued by banks as a proxy for the bank's exposure to the WMPs business.

From a regulatory perspective, this study helps regulators to understand the risk associated with the issuance of WMPs; by providing empirical evidence that Chinese banks issue WMPs to hide the actual risk of non-performing loans, and this practice could mislead the regulators to evaluate the bank credit risk and loan quality. This study also identifies that Chinese banks issue WMPs for multi-purpose; this can help potential investors to understand the dynamics of WMPs issuance.

This research is innovative in its orientation because it is designed to investigate the less explored wealth management products (WMPs) issued by Chinese banks. This study's content includes not only innovation but also contributes to the existing literature on the shadow banking sector in terms of regulatory arbitrage. Moreover, the inclusion of FGLS estimation models, ten years of quarterly data, and the top 30 Chinese banks (covers 70% of the total Chinese commercial banking system's assets) make this research more comprehensive and significant.