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The aim of the study is to test the integrated model involving work stress, office clutter and employee performance with the moderating roles of training and self-discipline (SD) after the re-opening of the banks after the COVID-19 wave.

The study used 333 respondents from banking industry, whose responses were recorded using a closed ended questionnaire. The authors used partial least square path anaysis to analyze the data.

Work stress significantly increases office clutter, which harms the employees’ performance. Moreover, SD and training significantly improve employees’ performance by reducing work stress and thereby office clutter. There are various mechanisms through which both these factors reduced stress and office clutter.

The employee’s performance can be enhanced with lower levels of office clutter. The office clutter can be managed through having lower levels of stress and providing people with training and inculcating SD among them. A greater understanding of the factors that count toward office clutter might help bank managers and employees to address the issues related to their performance.

The authors have proposed a new framework involving conservation of resources theory for the employees’ performance. They posit employees’ performance is an organizational resource, which can be conserved as well as enriched both by employers and employees through their own contribution.

This study aims to analyze access of cotton growers to Sustainable Livelihoods Assets Pakistani Punjab.

This study uses the department for international development (DFID’s) sustainable livelihoods framework (DFID) (1999). Where data collection was done by using a well-structured questionnaire from 200 randomly selected cotton growers of the district Muzaffargarh. There are five livelihood assets (human assets, natural assets, financial assets, physical assets and social assets) in the SLF, this study has used three different indicators/proxies for each asset except natural assets, where four indicators were used to capture the salient features of the respondents’ access to that assets. Each indicator was given a weight by using the entropy technique to keep the consistency of the quantification. Livelihood assets indices were calculated in case of each livelihood asset for conducting Livelihood Assets Pentagon Analysis. Value of livelihood index ranged from 0–4.

Livelihoods Assets Pentagon analysis shows that cotton growers do not have proper access to all five livelihood assets. The asset with the highest capacity were social assets (sustainable livelihood index value = 0.3994), followed by natural assets (0.3294), financial assets (0.2511), human assets (0.2143) and physical assets (0.0897).

This study uses the SLF developed by DFID for analyzing factors affecting access to livelihoods assets of cotton growers in Pakistani Punjab. Sustainable agriculture and sustainable rural livelihoods lead to sustainable livelihoods where environment quality is taken into consideration. The study contains significant and new information.

This paper aims to elaborate the characteristics of magneto-Maxwell nanoliquid toward moving radiated surface. Flow analysis subject to Darcy–Forchheimer concept is studied. Newtonian heat/mass conditions and heat source aspects are taken into account for modeling. Apposite transformations are introduced for non-dimensionalization process.

Optimal homotopy analysis method is implemented to compute convergent solutions of nonlinear ordinary differential equations.

Temperature field increments when thermophoresis, heat generation and Brownian movement parameters are increased, whereas reverse situation is noticed for larger Prandtl number. The results also witness that concentration distribution has opposite characteristics for larger thermophoresis and Brownian movement parameters. Furthermore, the presented analysis reduces to traditional Darcy relation in the absence of local inertia coefficient.

As per the authors’ knowledge, no such analysis has been yet reported.

This study aims to focus on second grade fluid flow over a rotating disk in the presence of chemical reaction. Uniform magnetic field is also taken into account. Because of the smaller magnetic Reynolds number, induced magnetic field is negligible. Heat equation is constructed by considering heat source/sink.

Suitable variables are used to transform nonlinear partial differential equations to ordinary ones. Convergent series solutions are attained by applying homotopy analysis method.

Trends of different parameters on concentration, velocity and temperature are shown graphically. Skin friction coefficient and local Nusselt number are calculated and investigated under the effect of elaborated parameters. An elevation in the value of magnetic field parameter causes collapse in the velocity distributions. Velocity distribution in increasing function of viscoelastic parameter. Temperature and concentration profiles are decreasing functions of viscoelastic parameter. Concentration distribution reduces by increasing the chemical reaction parameter. There is more surface drag force for larger M, while opposite behavior is noted for β.

To the best of the authors’ knowledge, such consideration is yet to be published in the literature.

This study aims to investigate the effect of monetary policy on housing prices for US economy. It specifically examines whether nominal or real interest rates are the key drivers behind fluctuations in housing prices in US.

Monthly data from January 1991 to July 2023 and various appropriate analytical tools such as unit root tests, Johansen’s cointegration test, vector error correction model (VECM), impulse response function and Granger causality test were applied for the data analysis.

The Johansen cointegration findings reveal the presence of a long-term relationship among the variables. VECM results indicate a negative correlation between nominal and real interest rates and housing prices in both the short and long terms, suggesting that a strict monetary policy can help in controlling the housing price increase in the USA. However, housing prices are more responsive to changes in nominal interest rates than to real interest rates. Additionally, the study reveals that the COVID-19 pandemic contributed to the upsurge in housing prices in the USA.

This study contributes by examining the role that nominal or real interest rates play in shaping housing prices in the USA. Moreover, given the recent significant upsurge in housing prices, this study presents a unique opportunity to investigate whether these price increases are influenced by the Federal Reserve's monetary policy decisions regarding nominal or real interest rates. Additionally, using monthly data, this study provides a deeper understanding of the fluctuations in housing prices and their connection to monetary policy tools.

This study aims to explore empirically the impact of various factors/determinants on housing prices at the country level as well as in Lahore, the most populous metropolitan city of the most populous province Punjab, Pakistan.

This study uses monthly data ranging from 2013M1 to 2020M1 on variables used in the study. Based on the stationarity results, the method of robust least square is used as an estimation technique. The validity of initial results is also authenticated by canonical cointegration regression.

The empirical result reveals that all included variables significantly affect housing prices both at country level as well as in Lahore. This study found negative impact of regressor age, real exchange rate and urbanization on housing prices, whereas the positive impact of gross domestic product (GDP) per capita, foreign remittances, broad money and real interest rate on housing prices in the case of Pakistan was found. On the other hand, results unveiled the negative impact of regressor age (proportion of population aged between 15 and 64), real exchange rate and urbanization on housing prices, whereas the positive impact of GDP per capita, foreign remittances, broad money and real interest rate on housing prices in Lahore metropolitan city was unveiled.

Based on the extant literature survey, this is a more holistic study of its kind that uncovers the macroeconomic determinants by considering the demand side, supply side and demographic factors of escalated housing prices in Pakistan, so that proper policies can be adopted to keep the housing sector stable. Empirical findings are helpful to acquire an enhanced understanding of how the housing price is determined and form a base for government to tackle the housing affordability problem.

Pandemics always have an impact on everything; for wildlife it is somehow positive and for human health and safety it is negative. But yet there is not any critique on its impact on the agriculture sector and farmer community. The world is not aware of the hazards which will be caused by crop loss. On the globe the largest country by population is China, where natives in China consume rice as staple food. In past few years, it was among the highest rice producing and consuming countries. Rice is planted in February to May mostly in China, and rice crop production is strongly dependent on preplanting activates which farmers are unable to perform because of the coronavirus disease 2019 (COVID-19) spread and the need to follow safety measures. So, the purpose of this documentary analysis is to indicate the impact of coronavirus disease on the agricultural sector in China specifically for rice production.

In this article, a documentary analysis approach has been utilized. Moreover, due to the new and latest issue, not much research has been published in the context of the COVID-19 pandemic impact on the agriculture industry in China. Whereas, several online reports and expert reviews have been reviewed which have been published in online platforms and blogs websites. A total of 45 resources (journal articles, expert reviews) have been downloaded from reputed databases such as Scopus and Web of Science, out of which 31 of them were more relevant and related to the context of study.

The outcome based on this study has indicated that the rice cultivators and farmers are in uncertainty and not comfortable to work in their fields without proper safety measures due to the pandemic situation which will badly affect their lives and the economy of the country. Therefore, this study suggests that to overcome this issue, a proper safety framework is needed to be developed which can be implemented and which can facilitate the rice farming community.

Agriculture is important in so many ways including providing employment to the bulk of the population and providing the basic necessity of life and also contributing to the national economy. The outcome of this study will facilitate the agricultural scientist, economist and seasonal crop production stakeholders to indicate the most problematic domain and upcoming challenges faced by the rice farming community in China due to the COVID-19 pandemic.

This is the first documentary analysis which is addressing the current issues due to the COVID-19 pandemic in the agriculture industry and specifically in the rice cultivation and producing community safety concerns and issues in China which is the first and most affected nation due to the coronavirus.

This paper aims to examine the three-dimensional (3D) flow of carbon nanotubes (CNTs) due to bidirectional nonlinearly stretching surface by considering porous medium. Characteristics of both single-walled CNTs and multi-walled CNTs are discussed by considering Xue model. Darcy–Forchheimer model is used for flow saturating porous medium.

Optimal homotopy analysis method is used for the development of series solutions.

The authors deal with 3D Darcy–Forchheimer flow of CNTs over a nonlinearly stretching surface. Heat transport mechanism is discussed in the presence of Xue model. The homogeneous and heterogeneous effects are also accounted. The mathematical modeling is computed using boundary-layer approximations.

No such work has been done yet in the literature.

Over the past few decades, the flow around circular cylinders has been one of the highly researched topics in the field of offshore engineering and fluid-structure interaction (FSI). In the current study, numerical simulations for flow around a fixed circular cylinder are performed at Reynolds number (Re) = 3900 with the LES method using the ICEM-CFD and ANSYS Fluent tool for meshing and analysis, respectively. Previously, similar studies have been conducted at the same Reynolds number, but there have been discrepancies in the results, particularly in calculating the recirculation length and angle of separation. In addition, the purpose of this study is to address the impact of time interval averaging to obtain the fully converged solution.

This study presents the LES method, using the ICEM-CFD and ANSYS fluent tool for meshing and analysis.

In the current study, turbulence statistics are sampled for 25, 50, 75 and 100 vortex-shedding cycles with the CFL value O (1). The recirculation length, angle of separation, hydrodynamic coefficients and the wake behind the cylinder are investigated up to ten diameters. The drag coefficient and Strouhal number are observed to be less sensitive, whereas the recirculation length appeared to be highly dependent on the average time statistics and the non-dimensional time step. Similarly, the mean streamwise and cross-flow velocity are observed to be sensitive to the average time statistics and non-dimensional time step in the wake region near the cylinder.

In the current investigation, turbulence statistics are sampled for 25, 50, 75 and 100 vortex-shedding cycles with the CFL value O (1), using large eddy simulation method at Re = 3900 around a circular cylinder. The impact of time interval averaging to obtain the fully converged mean flow field is addressed. No such consideration is yet published in the literature.

The purpose of this paper is to develop a scale for the measurement of service quality in pharmaceutical supply chains.

A total of 413 pharmaceutical retailers working in the two biggest cities of Pakistan responded to a survey. Confirmatory factor analysis developed a valid and reliable service quality measurement scale with four dimensions and ten items.

Findings of this research are consistent with other service quality studies. There is no universal set of dimensions and items that determine service quality across a section of service industries. Service quality measurement must be adapted to fit the context.

Convenience sampling was undertaken for this research. This research contributes to the measurement of service quality by developing a valid and reliable measurement scale in a previously ignored sector.

The scale developed in this research can be used by pharmaceutical distribution companies in Pakistan to measure, control and improve the service quality provided to pharmaceutical retailers.

This research provides framework to researchers to build up more pharmaceutical supply chains service quality scale development studies in similar situations so that more concrete generalizations can be made.