Search results

This study aims to review international literature systematically to estimate the prevalence of homelessness among incarcerated persons at the time of imprisonment and the time of discharge.

A systematic review methodology was used to identify quantitative observational studies that looked at the prevalence of homelessness at the time of imprisonment, or up to 30 days prior to that point (initial homelessness), and at the time of discharge from prisons. Studies reported in English from inception to 11 September 2019 were searched for using eight databases (PsycInfo, Medline, Embase, CINAHL, PsycArticles, Scopus, Web of Science and the Campbell Collaboration), in addition to grey literature. Studies were screened independently by three researchers. Results of studies meeting inclusion criteria were meta-analysed using a random effects model to generate pooled prevalence data.

A total of 18 out of 2,131 studies met the inclusion criteria. All studies originated from the USA, Canada, UK, Ireland or Australia. The estimated prevalence of initial homelessness was 23.41% and at time of discharge was 29.94%. Substantial heterogeneity was observed among studies.

People in prisons are over twenty times more likely to be homeless than those in the general population. This is likely attributable to a range of health and social factors. Studies in this analysis suggest higher rates of homelessness in minority populations and among those with mental illnesses and neurodevelopmental disorders. While there was significant heterogeneity among studies, the results highlight the global burden of this issue and a clear necessity for targeted interventions to address homelessness in this population.

Mobile phone network third-generation (3G) and fourth-generation (4G) modes are the most commonly used modes in many developing countries. This study aims to assess the impact of these network modes and other mobile phone attributes on their retail prices in Pakistan, the fifth most populous and developing country.

This study has been conducted in Punjab province, which shares about 53% of the Pakistan’s population. Hedonic price analysis was carried out on all new mobile phone attributes sold in Punjab’s markets at the retail level. Various econometric tests, that is, Ramsey regression equation specification error, Breusch–Pagan/Cook–Weisberg and variance inflation factor, were calculated to check the robustness of the results.

Results of this study indicated that the mobile phone prices were significantly higher for the sets having 4G network mode than the 3G mode. In addition to this, other mobile phone attributes that significantly influenced their prices were brand, weight, camera, random access memory (RAM), memory size, operating system, battery capacity and display size.

This study has implications for mobile phone sales and marketing strategies of the manufacturers, importers, retailers and others involved in the mobile phone business in developing countries like Pakistan. Mobile phone manufacturers/importers can increase their profits by producing/importing the 4G enabled devices.

Although many studies in the literature estimated the implicit price of mobile phone attributes, none of these had explicitly assessed the impact of network mode generation of mobile phones on their prices.

This study aims to explore the combined impacts of velocity and thermal slips on hybrid nanomaterial (GO+Ag+kerosene oil) bounded between two parallel infinite walls (plates). Both the walls are separated by a distance. The upper wall is subjected to squeezing with velocity, while the lower wall stretches with velocity. A uniform magnetic field acts normally to the flow. Moreover, heat transmission is analyzed in the presence of Joule heating. Heat transport characteristics are investigated by imposing the Cattaneo–Christov (C–C) heat flux model. The behavior of velocities, skin friction and temperature under sundry variables are examined graphically.

The obtained partial differential equations (PDEs) related to the considered problem are nondimensionalized by choosing appropriated variables. These nondimensional PDEs are then solved by the numerical technique, finite difference method (FDM). For implementation of this method, the obtained nondimensional PDEs are converted into finite difference equations (FDEs) using forward difference (FD) toolkits.

Velocity of the hybrid nanomaterial decreases with higher Hartman number and velocity slip parameter, while it increases with increase in Reynolds and squeezing numbers. Temperature of the hybrid nanomaterial increases for large Hartman number, Eckert number and squeezing parameter, while it is reduced by higher thermal slip parameter, thermal relaxation time parameter and nanoparticle volume fractions for graphene oxide (GO) and silver (Ag). Skin friction is controlled through higher Reynolds number, while it intensifies with nanoparticle volume fractions for GO and Ag.

Here, the authors have investigated 2D flow of hybrid nanomaterial bounded between two parallel walls. The lower and upper walls are subjected to stretching and squeezing, respectively. The authors guarantee that all outcomes and numerical technique (FDM) results are original, neither submitted nor published in any journal before.

In this paper, we study a Cauchy-type problem for Hilfer fractional integrodifferential equations with boundary conditions. The existence of solutions for the given problem is proved by applying measure of noncompactness technique in an abstract weighted space. Moreover, we use generalized Gronwall inequality with singularity to establish continuous dependence and uniqueness of ϵ-approximate solutions.

The purpose of the study was to find out the impact of the castrated and intact attribute of the male goat on its price in Pakistan.

Five major goat markets of Punjab, Pakistan, representing various cropping systems, climatic conditions and socio-economic conditions, were selected for the study. Data about the market location, traits of traded male goat (weight, age, breed, castration, etc.), buyer attributes (education level, experience of buying goats), the purpose of buying and price of 383 traded male goats were collected by using a pretested questionnaire. The hedonic regression model was used to estimate the impact of male goat attributes on its price.

Results indicated a significant price difference between castrated and intact male goats and recommended castration of male goats for a better price. Additional findings showed a significant positive impact of live weight, age, breed and the selling marketplace on the male goat prices.

By targeting and marketing male goat characteristics like castration, weight, breed and selling markets, goat producers can receive a premium price for their animals.

In livestock markets of developing countries, buyers strongly prefer castrated or intact male goats for several reasons. However, as existing literature did not document the effect of male goat's castrated and intact attribute on its price; therefore, the study is important to fill this gap.

The purpose of this paper is to develop an instrument to measure the influence of coronavirus (COVID-19) on international travellers’ behaviour.

Data were collected from 500 respondents in the Kingdom of Saudi Arabia to develop and validate a multi-item scale to measure international travel behaviour post-COVID-19. The initial pool of items was validated by using exploratory factor analysis. The first-order reflective and the assessment of hierarchical factor structure were done through structural equation modelling by using SmartPLS 3.

Findings revealed a hierarchical three-level scale for measuring international traveller’s behaviour. The first level consists of six sub-dimensions of 19 items. These six sub-dimensions can be used as a formative measure of three dimensions of general impact, attitude and preference and cleanliness and safety. These three dimensions form the third level for the meta construct of traveller’s behaviour.

The proposed scale will provide policymakers and managers with an improved understanding of the change in travellers’ behaviour due to the COVID-19 crisis or any future pandemic.

The scale can be used by the tourism and hospitality industry to access the impact of COVID-19 or any other future pandemic on traveller’s behaviour.

Since the outbreak of the novel COVID-19, almost all international travel has come to halt. A diverse measuring instrument to measure traveller’s behaviour is not available in extant literature. To the best of the authors’ knowledge, this study is the first of its kind which has developed and validated a scale for measuring traveller’s behaviour during and post COVID-19.

This article investigates the long-run impact of remittance inflows on agricultural productivity (AGP) in emerging Asian economies (Bangladesh, Sri Lanka, Malaysia, India, Nepal, Philippines, Pakistan, and Vietnam), employing a panel dataset from 2000 to 2018.

This study initially applies cross-sectional dependence (CSD), second-generation unit root, Pedroni, and Westerlund panel co-integration techniques. Next, it uses the augmented mean group (AMG) and common correlated effect mean group (CCEMG) methods to investigate the long-term impact of remittance inflows on AGP while controlling for several other important determinants of agricultural growth, such as cultivated area, fertilizers, temperature change, credit, and labor force.

The empirical findings are as follows: The results first revealed the existence of CSD and long-term co-integration between AGP and its determinants. Second, remittance inflows significantly boosted AGP, indicating that remittance inflows played a crucial role in improving AGP. Third, global warming (changes in temperature) negatively impacts AGP. Finally, additional critical elements, for instance, cultivated area, fertilizers, credit, and labor force, positively affect AGP.

This study suggests that policymakers of emerging Asian economies should develop an exclusive remittance-receiving system and introduce remittance investment products to utilize foreign funds and mitigate agricultural production risks effectively.

This is the first empirical examination of the long-term impact of remittance flows on agricultural output in emerging Asian economies. This study utilized robust estimation methods for panel data sets, such as the Pedroni, Westerlund, AMG, and CCEMG tests.

The successful performance of organizations depends on the smooth working relations between their leaders and employees. Considering the importance of the behaviors of leaders/supervisors, this study intends to explore the bright side of abusive supervision on the performance of trainees in different police colleges in Pakistan.

The data for this study were collected from police colleges and supervisors in Pakistan, and the sample comprised police trainees and their instructors (N = 254 responses from 50 instructors and 254 police trainees). The data were analyzed using structural equation modeling via Amos to test the hypothesized relationships.

Results reveal a positive connection between abusive supervision and the performance of trainees. Moreover, the moderating role of passion for a cause in the relationship between abusive supervision and trainee performance is supported.

Despite its relevance, this study has certain limitations. First, this study was conducted in a specific occupational and cultural context. A comprehensive understanding of the diverse occupational and cultural context considerations can increase this study's value. Second, this study used cross-sectional data for analysis, which hindered us from making causal inferences. For a clear and improved understanding, longitudinal studies can help facilitate the process.

This study intends to explore the bright side of abusive supervision on the performance of trainees in different police colleges in Pakistan. The literature demonstrated the “dark side” of abusive supervision on work-related attitudes and behaviors. However, few studies investigated or explored the “bright side” of abusive supervision.

The aim of this study is to examine the influence of workplace ostracism on deviant behaviour and testified the mediating roles of organisational identification, burnout and organisation-based self-esteem (OBSE) by using a parallel mediation model. Then, the moderating role of ingratiation in the interrelation between ostracism, the mediators and deviant behaviour is examined.

A survey questionnaire was used to collect data from nurses working in public sector hospitals in Pakistan. Nursing context is appropriate for the study because this occupation involves a greater extent of social interaction among peer nurses, doctors and administration in the provision of health services. A total of 417 nurses provided complete responses, and the study hypotheses were tested using the partial least squares structural equation modeling (PLS-SEM).

The study findings show that ostracism is positively related to deviant behaviour of nurses, indicating that workplace ostracism is an important predictor of deviant behaviour. Ostracised nurses experienced higher job burnouts and low OBSE as well as organisational identification. Results also show that ostracism promotes deviant behaviour by reducing OBSE and organisational identification. Moreover, results provide evidence that high ingratiation overcomes the detrimental effects of ostracism on both deviant behaviour and mediators.

The present study integrates the literature on ostracism and its attitudinal and behavioural outcomes and submits that ostracism negatively affects the attitudes of victims which in turn results in negative behavioural outcomes (i.e. deviant behaviour). This study also suggests ingratiation as a tactic to control the negative effects of ostracism.