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Social exchange theory and social learning theory are widely employed in many disciplines but there is little application on the intention to leave and job performance among academic staff. Therefore, this study intends to examine the relationships among supervisor support, intention to leave and job performance along with mediating role of self-confidence in a developing context.

Data were collected through questionnaires from the academic staff of private Pakistani universities. The model was tested using data collected from 295 respondents by using structural equation modeling (SEM) technique.

The results revealed that supervisor support influenced job performance positively through the mediating role of self-confidence. Conversely, supervisor support influenced intention to leave negatively through the mediating role of self-confidence. In addition, the results also showed the direct effect of supervisor support on employees' job performance and intention to leave.

The results of this study suggest that the supervisor must provide adequate support to the academic staff, which helps them to develop their self-confidence. In addition, self-confidence is helpful for the employees to improve their job performance and reduce their intention to leave.

The study contributes to theory building in the area of supervisor support by enriching the understanding of the processes carrying the effect of supervisor support on desirable workplace outcomes. In addition, the study also explicates the less understood nature of relationship between supervisor support, job performance, and intention to leave through the mediating role of self-confidence in the Pakistani context.

Pakistan is one of the most climate change and natural disaster-affected countries in the globe, where the lives and livelihoods of people are repeatedly affected due to these natural disasters. Over the past few decades, the country has been impacted by numerous devastating floods, droughts, and storms. As a result, households face enormous complications, particularly those dwelling in disaster-prone areas. Therefore, this study intends to explore the status of household vulnerability and resilience practices of hazard-prone communities in Pakistan from existing literature. This study has identified the 17 most relevant documents. It argues that household vulnerability is increasing consistently with the increasing rate of disaster intensity. Frequent flooding, landslide, erosion, and crop loss are the leading causes of household vulnerability. This study reveals five types of household vulnerability components which look into several livelihood vulnerability indicators of Pakistani households. Moreover, the study unfolds that the main causes of disaster vulnerability are widespread crop loss, a lack of water, loss of soil fertility, and low socioeconomic situations. The major vulnerability components of dwellers are exposure (increasing summer duration, the rapid increase of population house build-up in the riparian areas, and increasing occurrence of hailstorms), sensitivity, low access to education facilities, human loss, diseases infestation, food insecurity, and social conflict), and less adaptive capacity (social networks, migration, poor emergency services, multiple income sources, and less access to the health facility). To address the household vulnerability, this study has also identified four key aspects of resilience, like social resilience, economic resilience, institutional resilience, and physical resilience. The findings will effectively help to understand the dynamics of household vulnerability and resilience and its measurement and management strategy from developed indicators.

This study aims to investigate risks associated with climate change vulnerability and in response the adaptation methods used by farming communities to reduce its negative impacts on agriculture in Pakistan.

The study used household survey method of data collection in Charsadda district of Khyber Pakhtunkhwa province, involving 116 randomly selected respondents.

Prevalent crops diseases, water scarcity, soil fertility loss and poor socio-economic conditions were main contributing factors of climate change vulnerability. The results further showed that changing crops type and cultivation pattern, improved seed varieties, planting shaded trees and the provision of excessive fertilizers are the measures adapted to improve agricultural productivity, which may reduce the climate change vulnerability at a household level.

The major limitation of this study was the exclusion of women from the survey due to religious and cultural barriers of in Pashtun society, wherein women and men do not mingle.

Reducing climate change vulnerability and developing more effective adaptation techniques require assistance from the government. This help can be in the form of providing basic resources, such as access to good quality agricultural inputs, access to information and extension services on climate change adaptation and modern technologies. Consultation with other key stakeholder is also required to create awareness and to build the capacity of the locals toward reducing climate change vulnerability and facilitating timely and effective adaptation.

This original research work provides evidence about farm-level vulnerability, adaptation strategies and risk perceptions on dealing with climate-change-induced natural disasters in Pakistan. This paper enriches existing knowledge of climate change vulnerability and adaptation in this resource-limited country so that effective measures can be taken to reduce vulnerability of farming communities, and enhance their adaptive capability.

Resultant leading equations are formed with non-linear partial differential equations by adopting a low Reynolds theory approximation. For a better and easier understanding of the role of physical features of the main problem, the equations are reduced to non-dimensional ordinary differential equations by incorporating the locally similar and non-similar dimensionless variables. In light of practical importance, all the significant findings are approximated by solving the equations with the assistance of a modified bvp4c built-in package. The effective speed, temperature and volume fraction of the same materials are displayed to address the behaviors of different controlling influences.

This work is inaugurated to investigate thermal cycling, thermal striping and thermal stratification, which cause thermally induced damage during the wavy confined flow domains. Such physical constraints are imposed on the wavy surface while considering the wavy dynamics of shear thinning materials. The impact of gravity is assumed on the vertical wavy surface, which is observed as the main source for the wavy flow occurrence. The surface’s amplitude plays a critical role in generating a high temperature difference. The same phenomenon is further extended with the applications of thermal radiation, mixed convection and dynamical homogeneous/heterogeneous reactions.

For instance, the higher stratification factor causes a reduction in the liquid wavy speed and temperature, and the rising chemically reactive rate factor declines the volume fraction during the typical wavy motion of the materials. Moreover, the larger amplitude and mixed convective factor reduced and uplifted the speed of the materials, respectively. The surface resistive forces are monitored with the graphical visualization of local similar skin friction and are determined larger by varying the Weissenberg and mixed convective factors. The affective liquid speed, temperature and volume fraction are plotted to address the behaviors of different controlling factors. These impacts are listed, i.e. with higher stratification factors, a reduction is noticed in the liquid velocity and temperature. On the other hand, an opposite depict is noticed for higher heat generation factors. The reduction in volume fraction is reported with variation in the reaction factor and Schmidt number.

After carefully assessing the previously referenced work, it is evident that the literature has yet to incorporate thermally stratified Williamson fluid. Meanwhile, the motion of the materials is noticed due to the gravitationally affected wavy surface. Such physical phenomenon is further approximated by testing a dynamical reaction during its motion. An effective presentation of all the outcomes is portrayed via graphs and approximated numerical results.

This study aims to examine the dynamic effect of FinTech on financial stability, with the moderating role of green finance (GF), its dimensions and mechanisms in the context of the spillover effects of the COVID-19 shock. This study used balanced panel data from 148 countries, including 76 developed and 72 emerging nations, from 2005 to 2022.

The research utilized the dynamic two-step system (GMM), and robustness was performed with the bootstrapped panel quantile regression.

The findings reveal that FinTech significantly affects financial stability across the entire sample. The overall composite of GF boosts financial stability by improving financial soundness. The GF dimensions, such as environmental, resource and financial, positively influence FS, while the GF economic dimension hurts FS. The moderating role and all interaction terms of GF dimensions with FinTech contribute positively and significantly to FS. While the interaction term GF resources with FinTech negatively impacts FS, indicating that countries should utilize resources more efficiently. Additionally, the COVID-19 spillover effect negatively influences FS across all samples. In advanced countries, FinTech and green finance positively affect FS. In emerging countries, green finance (except for the resource dimension) and FinTech interactions enhance financial stability, (except for the environmental dimension), leading to environmental hazards from their highly intensive industrial carbon policies.

The findings suggest that policymakers should prioritize promoting the adoption of initiatives related to FinTech and green finance by integrating sustainable transition finance policy frameworks to maintain stability and foster low-carbon economies for a sustainable future.

Improved financial stability has more significant social effects, such as better investment instruments, confidence and economic growth. Policymakers can leverage these findings to establish resilient financial ecosystems, fostering sustainable economic development and decreasing the risk of financial crises.

This study offers novel insights into how FinTech and multi-dimensional green finance effect financial stability in advanced and emerging nations. It provides unique insights into context-specific dynamics and enhances the literature on financial stability.

The purpose of this paper is to review different microfinance products and services that can be offered to reduce the financial vulnerabilities of communities at risk. Following a detail literature review, the effectiveness of different forms of microfinance services in creating resilience in the affected communities was analysed and whether they can be applied to mitigate the risk of future disasters was assessed. In addition, the study was conducted to assess whether microcredit can help reduce direct risk exposure of the poor through income smoothing.

This study is based on a review of existing theories.

The notion that most vulnerable communities are financially weak is evident from studies. This study finds that microcredit can help reduce direct risk exposure of poor through income smoothing, while saving can help them recover from the losses of disasters. Our review also suggests that there is no specific model of microfinance services which can have a holistic impact on the financial capacity-building, particularly during the rehabilitation process.

There are different categories of microfinance products with distinct characteristics and associated benefits to the communities. Some of the major microfinance products as identified in this study are, saving products, credit products and insurance products. These products have multidimensional benefits, as there are many approaches adopted by microfinance institutions (MFIs) and clients regarding the use of these products. However this study focuses on the use of these products towards resilience development in the community. Other applications of these products still need to be explored.

There is a need for a comprehensive financial tool that can be effectively applied to expedite the process of rehabilitation and reduce the financial impact of disasters on the community, particularly the poor. Major issues in the context of disasters faced by MFIs to design their products in the affected areas are also highlighted in the study.

The study throws lights on different microfinancial tools such as microloans, microcredits and cash for work, etc. offered by banks and other organizations and highlights their role in the rehabilitation and reconstruction of those affected by disasters in different parts of the world.

This paper contributes to the discourse of microfinance and its social applications in developing countries. It provides original role of microfinance as a tool for creating community resilience to the impacts of disasters.

Islamic Insurance (Takaful) played a dynamic role in Islamic Social Finance (ISF). The popularity of the Takaful concept is being increased with each passing day. To describe the process, it is important to understand past areas of research, research differences, areas of unknown Takaful research, as well as the existing data. However, the purpose of the paper is to provide a comprehensive analysis of the development of qualitative research by carefully examining the nature of science and aspects of social relations in ISF.

Field, concerns with analysing and measuring the scholarly literature, quantitative characteristics of sciences and scientific technologies are known as scient metrics. This research includes queries such as “Islamic Insurance”, “Takaful” and “Shariah Insurance” as a reference in “Article title, Abstract and Keywords” based on Scopus from 2002 to 2022. This analysis was conducted in February 2022. The Bibliometrics, R-Studio, VOSviewer and Excel software are used to analyse the collected data and apply the bibliometric analysis.

The gist of the results and findings is that there are clear research gaps in the existing literature on Takaful. The available research on this subject does cover historical background, concept and models of Takaful and customer satisfaction towards Takaful model. Very important areas such as use of technology for bringing innovation in Takaful products and Shariah issues in existing practice and their solutions were not found in the present literature on Takaful.

This is the comprehensive research article to examine current literature on Takaful with bibliometric analysis. Results and potential areas of this research could be much helpful for scholars and researchers to create more dynamic improvements in the scientific development of Takaful in ISF.

The paper examines how individuals can be susceptible to payment biases in the context of digital payment behavior by utilizing the concept of mental accounting. Furthermore, the paper investigates the moderating effects of Digital Financial Literacy (DFL) on the relationship between payment methods and spending behavior.

The study employs a survey-based approach to collect data from 503 individuals who use digital payment methods, utilizing purposive sampling from Pakistan. The collected data is analyzed using Smart-PLS 4 software to assess the direct impact of payment methods on spending behavior and the moderating influence of DFL.

The research findings demonstrate that both digital and cash payments significantly affect spending behavior. However, digital payments have a more substantial impact on spending behavior compared to cash payments. The findings also show that DFL significantly positively moderates individual spending. The study validates the mental accounting perspective by evaluating the direct impact of payment methods on consumers' spending behavior.

The findings have practical implications for policymakers, financial institutions, and educators. Policymakers can leverage the insights to design effective strategies that promote responsible spending behavior and enhance the adoption of digital payment methods. Financial institutions can design user-friendly platforms that cater to users' spending preferences, while educators can develop programs to enhance Digital Financial Literacy (DFL) among the public.

This study’s social implications lie in its potential to contribute to individuals' financial well-being by promoting responsible spending through digital payment methods. Enhanced financial literacy and informed spending decisions can lead to better financial management and ultimately contribute to societal financial stability.

The study enriches the understanding of mental accounting, shedding light on how overspending behavior can manifest through digital payment channels. In addition, this research practically provides valuable insights into enhancing the adoption and financial literacy of digital payments among the public.

This study aims to explore the role of mobile tracing applications as part of e-government services in combating the COVID-19 pandemic effects in Africa by analyzing the moderating role of sustainable development. This study also investigated the role of the political and economic systems in mitigating the negative consequences of COVID-19 and how e-government interacts in this relationship.

This study included the COVID-19 performance index for 94 countries belonging to different regions, including 20 African countries. Multiple linear regression was used for data analysis via Stata software. The study was conducted from the start of the pandemic to March 13, 2021.

The results show that less economically and technologically developed countries with generally authoritarian political systems, including African countries, could limit the spread of the pandemic better than some democratic, economically and technologically developed countries in the first wave of the pandemic. The promotion of sustainable development goals moderates the relationship between mobile tracing applications as part of the e-government service and the fight against COVID-19.

This study provides insight into the role of mobile application technology as an e-governance service in mitigating the negative consequences of the COVID-19 pandemic in a context characterized by economic limitations, fragile public health infrastructure and relatively high political instability, especially in Africa. The findings shed light on some of the difficulties African countries may face in incorporating technology into their development projects.

Sub-Saharan African (SSA) region has been battling illegal outflow of capital over the years, with little success recorded so far. Without adequate attention, unemployment, infrastructure deficiencies and inefficient capital might be worse in the future. The purpose of this study is to investigate if institutional quality mitigates the effect of capital flight (CF) on economic growth.

The panel data from 26 SSA countries spanning 1998 to 2018 are used. The analysis of this study was carried out through a two-step generalized method of moments technique. The principal component index is used to group the institutional quality/governance indicators into three categories: political governance, economic governance and institutional governance.

The study found that CF is harmful to the economic growth of the SSA region. The study also found that, among the indicators of institutional quality, only the rule of law and control of corruption stimulate economic growth. Contrary to expectation, the finding indicates that institutional quality does mitigate the effect of CF on economic growth in the SSA region.

This study provides an insight into the relevance of institutional quality in mitigating CF in sub-Saharan African region.