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The objective of this study was to elucidate the intentions of university teachers regarding the utilization of ChatGPT for instructional purposes.

In this cross-sectional quantitative research, data were collected through an online survey tool from 493 university teachers across Pakistan.

The findings revealed that positive attitudes and a sense of perceived behavioral control had a positive impact on teachers' adoption of ChatGPT for instructional purposes. Conversely, subjective norms exhibited a significant negative influence. The results underscore that teachers are inclined to embrace ChatGPT for instructional cause due to their recognition of its educational utility. However, it does not appear that their social environment, which includes their coworkers and managers, has a significant impact on how they decide what to do.

The findings bear implications for devising relevant policies that support AI integration in curricula and assessments and teachers’ professional development (PD) programs. There is a need for formulating guidelines at the universities and the policy tiers to make the ChatGPT use more relevant. Future research should strive to generate insights toward AI use in the areas of curriculum, assessment and teachers’ PD.

The study adds to the relatively new literature on the integration of ChatGPT in higher education. This study’s findings contribute to the body of knowledge related to AI’s pedagogical use and set future directions to consider factors influencing meaningful and responsible use of AI in teaching and learning.

The purpose of this paper is to examine the moderating role of the demographic variables in emotional intelligence, homesickness and the development of mood swings in university students. Additionally, the paper investigates the relationship among emotional intelligence, homesickness and mood swings in university students.

Purposive sampling technique was employed based on a cross-sectional design. The sample comprised 304 university students (male students, n=210, female students, n=94). Three scales were used to measure the homesickness, emotional intelligence and positive and negative mood swings in university students.

The results revealed that homesickness was positively and significantly correlated with mood swings (r=0.34, p<0.001) and negative mood swings (r=0.49, p<0.001). The result also displayed that emotional intelligence was correlated with homesickness (r=−0.15, p<0.05), positive mood swings (r=0.33, p<0.05) and negative mood swings (r=−0.24, p<0.05). The results of the analysis revealed that demographic variables such as age and gender were the moderator between homesickness and development of mood swings. The results also revealed that demographic variable such as gender was the moderator between emotional intelligence and mood swings. This study recommended that those younger students who had experienced homesickness were more likely to develop negative mood swings as compared to older students.

The study also recommended that those young students who had emotional intelligence were less likely to develop negative mood swings as compared to older students.

The study further recommended that those female students who had experienced homesickness were more likely to develop positive mood swings as compared to male students. Recommendations of the currents study are that university students can benefit equally but female students can benefit more from an intervention addressing homesickness. This study would be helpful in pedagogical and clinical settings to raise the awareness to effectively deal with their children.

The purpose of this paper is to propose a combined technique of cumulative voting and numerical assignment to prioritize the services of the learning cloud service.

The approach starts with requirement elicitation, then analyses of the requirements in terms of prioritization and finally classifies the priority of services into groups.

As a result of the case study the requirements of the College of Art Media and Technology students has been classified into three service groups.

This combined prioritized techniques can involve learners in the decision making process about learning cloud services utilization in the organizations.

This research aims to analyze and compare the effectiveness of liquidity risk management of Islamic and conventional banking in Egypt to ascertain which of the two banking systems are performing better.

A sample of six conventional banks (CBs) and two Islamic banks (IBs) in Egypt was selected. Using the liquidity ratios, the investigation involves analyzing the financial statements for the period of 2004-2011. The data were obtained from Bank scope database.

The research found that in Egypt, CBs perform better in terms of liquidity risk management than IBs. The liquidity risk management significant differences between IBs and CBs could be attributed more cash availability to CBs than to IBs, in addition, Egyptian Central Bank regulations on capital and liquidity requirements for IBs disconcert IBs’ performance.

This research facilitates the bankers, academician, scholars and bankers to have an alluded picture about Egyptian banking developments in liquidity risk management. The results can be used by bankers’ policy decision-makers to improve and enhance their consideration for liquidity risk management.

This research covers a period and a country that compares CBs’ and IBs’ liquidity risk management. Its value is attributed to the increasing differentiation between CBs and IBs.

Since the emergence of a coronavirus disease (2019-nCoV) in December 2019, the whole world is in a state of chaos. Isolation strategy with quarantine is a useful model in controlling transmission and rapid spread. As a result, people remained at home and disrupted their outside daily activities. It led to the closure of educational institutes, which is a source of many students to cope with numerous personal and familial issues. This study aims to focus on exploring the relationships and potential mediational pathways between mental health problems, illness perception, anxiety and depression disorders.

The study incorporated snowball sampling techniques through a cross-sectional, Web-based survey and recruited 500 students from different universities of twin cities, Rawalpindi and Islamabad from March 23 to April 15, 2020, during the coronavirus outbreak lockdown. The study used four instruments, Beck Depression Scale, Beck Anxiety Inventory, Revised Illness Perception Questionnaire and The Warwick-Edinburgh Mental Well-being Scale for assessing depression, anxiety, illness perception and mental health disorders.

The findings indicated normal (43.2%), mild (20.5%), moderate (13.6%) and severe (22.7%) levels of anxiety prevalence in students. Results specified a normal (65.9%), mild (9.10%), moderate (9.12%) and severe (15.90%) depression prevalence and findings stipulated that anxiety disorder prevalence was higher than depression disorder. The correlational results specified a negative and significant relationship between mental health, illness perception, anxiety and depression symptoms. The multiple regression analysis stated that anxiety and depression disorders mediated the relationship between mental health and present illness perception. The perception of illness exhibited a relation to depression and anxiety disorders.

The study proposed a model to address mental health problems during the lockdown. The (2019-nCoV) illness perception developed mental disorders, including anxiety and depression, which has declined individuals’ mental health. There is an urgent need for ongoing clinical examination and management to address psychological disorders and findings suggest assessing mental health to combatting the pandemic worldwide. Findings recommend developing strategies to promote mental health-care facilities during COVID-19 wide-ranging disasters. These results highlight the impending importance of devising strategies to treat mental health problems.

This paper aims to conceptualize the nexus between the participatory finance and the higher ethical objectives within the Islamic moral economy, also termed as Maqasid al Shari’ah.

Insights from the extant Islamic economics and finance literature are integrated through an interpretative systematic review using the principles from critical interpretative synthesis (CIS).

A coherent framework is synthesized comprising the typology of the Maqasid al Shari’ah, the axioms of participatory finance and their nexus which is formulated by theorizing the common thread of meaning through the axioms of participatory finance and Maqasid al Shari’ah at the interpretative level. This framework postulates that the participatory finance fits well in the ethos and the value system of Islam. Moreover, “social well-being” invariably provides the nexus between the Maqasid al Shari’ah and participatory finance.

This study contributes to the Islamic economics and finance literature by integrating the dissenting views from the divergent literature related to the basic philosophy of Shari’ah and participatory finance and provides grounds for policy implications, particularly, for designing the financial products. Moreover, it demonstrates an application of interpretative systematic review in Islamic banking and finance research.

The purpose of this paper is to examine the moderating role of marital status between infidelity and development of stress, anxiety and depression. Additionally, to investigate the relationship among infidelity, stress, anxiety and depression among married couples and divorced individual.

A purposive sampling technique was used based on cross-sectional design. In total, 200 participants (married couples, n=100; divorced individuals, n=100) were incorporated from different NGO’s and welfare organizations of Rawalpindi, and Islamabad, Pakistan. Age ranged from 20 to 60 years. Two scales were used to measure the infidelity, stress, anxiety and depression in married couples and divorced couples.

The result revealed that emotional infidelity was positively significant correlated with stress (r=0.39, p=0.001), anxiety (r=0.40, p=0.001) and depression (r=0.35, p=0.001) for married couples. The result also displayed that sexual infidelity was positively significant correlated with stress (r=0.39, p=0.001), anxiety (r=0.39, p=0.001) and depression (r=0.34, p=0.001) for married couples. The result further elaborated that emotional infidelity and sexual infidelities were positively non-significant correlated with stress, anxiety and depression for divorced individuals. The analysis results revealed that marital status was moderator between infidelity and development of stress, anxiety and depression.

This paper consisted of sample from three basic cities of Pakistan; thus, this paper finding may not be applied on whole population. Consequently, explanatory, exploratory and descriptive studies would be useful to enlighten the infidelity’s mechanism in prolongation of psychological distress across married couples and divorced individual in detail. Local tools to measure gender-related issues would be helpful in prospect while it combine cultural aspects as well.

This study would be helpful in clinical settings to raise the awareness to effectively deal with their children.

The study recommended that those divorced individuals who had experienced either sexual infidelity or emotional infidelity were more likely to develop psychological problems as compared to married couples. This study would be helpful in clinical settings to raise the awareness to effectively deal with their children.

This paper aims to propose a novel splicing detection method using a discriminative robust local binary pattern (DRLBP) with a support vector machine (SVM). Reliable detection of image splicing is of growing interest due to the extensive utilization of digital images as a communication medium and the availability of powerful image processing tools. Image splicing is a commonly used forgery technique in which a region of an image is copied and pasted to a different image to hide the original contents of the image.

The structural changes caused due to splicing are robustly described by DRLBP. The changes caused by image forgery are localized, so as a first step, localized description is divided into overlapping blocks by providing an image as input. DRLBP descriptor is calculated for each block, and the feature vector is created by concatenation. Finally, features are passed to the SVM classifier to predict whether the image is genuine or forged.

The performance and robustness of the method are evaluated on public domain benchmark data sets and achieved 98.95% prediction accuracy. The results are compared with state-of-the-art image splicing finding approaches, and it shows that the performance of the proposed method is improved using the given technique.

The proposed method is using DRLBP, an efficient texture descriptor, which combines both corner and inside design detail in a single representation. It produces discriminative and compact features in such a way that there is no need for the feature selection process to drop the redundant and insignificant features.

In recent years, the fast growth of Islamic banks (IBs) has generated debates among policymakers and economists about the sustainability and performance of these institutions. This paper aims to undertake a comparative analysis of the financial performance of IBs and conventional banks (CBs) in Pakistan over the period 2008–2019 to evaluate how IBs are faring compared to their conventional peers.

This paper considers Financial Ratio Analysis (FRA) to analyse and compare the performance of the top-10 IBs and CBs operating in Pakistan. The sample includes five full-fledged IBs and five CBs which offer Islamic windows in Pakistan. The top-five performing CBs offering Islamic windows have been selected in this study.

The results show that IBs are better capitalized, less risky and have higher liquidity as compared to CBs. In contrast, the profits of IBs are found to be lower than those of CBs.

The study has provided an analysis of financial performance only for Pakistan. A cross-country analysis could be more representative of the performance of IBs.

The study infers that the size of the Islamic banking industry in Pakistan should be enhanced by opening new branches and promoting Islamic financial literacy.

The study assists investors, creditors, debtors and managers in making better decisions. It also provides the latest valuable information to regulators and policymakers that can be used to make rules and policies for the finance industry in Pakistan.

The purpose of this research is to quantify the effect of stakeholder conflicts on project constraints in the construction industry using ordinal regression analysis. For this purpose, the most significant project constraints and factors that cause stakeholder conflicts found in the literature are measured.

Factors causing stakeholder conflicts and project constraints are extracted through a content analysis of the published literature. Further, a questionnaire survey is conducted involving 170 professionals to assess the effect of conflicts on project constraints. Finally, to obtain a more objective assessment, a statistical model is developed, and to highlight the most severe factors causing conflict and impacting project constraints, ordinal regression analysis is performed.

The results show that in the construction industry, all project constraints are affected by stakeholder conflicts. Factors that result in stakeholder conflicts indicated a positive relationship with cost, time and resources. This means that any increase or decrease in the effect of stakeholder conflicts will directly influence these three project constraints. Similarly, a negative relationship was observed between stakeholder conflicts and quality, workforce productivity, protection of environment and safety regulations in the construction industry, indicating that increase in the effect of stakeholder conflicts will decrease these four project constraints and vice versa. The results for cumulative ordinal regression model highlight that lack of communication, poor quality of completed works and change orders and rework have intense effects on project constraints collectively.

A small number of studies have been undertaken to examine the emergence of project constraints in the developing countries. And even more, its relationship with stakeholder conflicts in the construction industry is limited. This research highlights the most significant project constraints and factors that result in stakeholder conflicts in the construction industry. Therefore, this study adds to the existing body of knowledge by developing an ordinal regression model that will help decision-makers and top management control this enigma of stakeholder conflicts in the construction industry.