Syed Saqib Shah, Hakan F. Öztop, Rizwan Ul-Haq and Nidal Abu-Hamdeh
The purpose of this paper is to analyse the buoyancy flow, mass and heat transfer in coaxial duct under Soret and Dufour effect. The combined effects of the thermal-diffusion and…
Abstract
Purpose
The purpose of this paper is to analyse the buoyancy flow, mass and heat transfer in coaxial duct under Soret and Dufour effect. The combined effects of the thermal-diffusion and diffusion-thermo coefficients, as well as the Schmidt number, on natural convection in a heated lower coaxial curve were explored using the proposed physical model. The Dufour and Soret effects are taken into consideration in the energy and concentration equations, respectively.
Design/methodology/approach
The dominating mathematical models are converted into a set of non-linear coupled partial differential equations, which are solved using a numerical approach. The controlling non-linear boundary value problem is numerically solved using the penalty finite element method with Galerkin’s weighted residual scheme over the entire variety of essential parameters.
Findings
It was observed that different parameters were tested such as heat generation or absorption coefficient, buoyancy ratio, Soret coefficient, Dufour coefficient, Lewis number and Rayleigh number. Effect of Rayleigh number, absorption/generation and Dufour coefficient on isotherm are significantly reported. For greater values of Lewis number, maximum mass transfer in duct in the form of molecular particles is produced. Buoyancy ratio parameter decreases the average rate of heat flow and increases its mass transfer.
Originality/value
The main originality of this work is to make an application of Soret and Dufour effects in a coaxial duct in the presence of source sink.
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Saleha Noor, Yi Guo, Syed Hamad Hassan Shah, Philippe Fournier-Viger and M. Saqib Nawaz
The novel Coronavirus (COVID-19) pandemic, which started in late December 2019, has spread to more than 200 countries. As no vaccine is yet available for this pandemic, government…
Abstract
Purpose
The novel Coronavirus (COVID-19) pandemic, which started in late December 2019, has spread to more than 200 countries. As no vaccine is yet available for this pandemic, government and health agencies are taking draconian steps to contain it. This pandemic is also trending on social media, particularly on Twitter. The purpose of this study is to explore and analyze the general public reactions to the COVID-19 outbreak on Twitter.
Design/methodology/approach
This study conducts a thematic analysis of COVID-19 tweets through VOSviewer to examine people’s reactions related to the COVID-19 outbreak in the world. Moreover, sequential pattern mining (SPM) techniques are used to find frequent words/patterns and their relationship in tweets.
Findings
Seven clusters (themes) were found through VOSviewer: Cluster 1 (green): public sentiments about COVID-19 in the USA. Cluster 2 (red): public sentiments about COVID-19 in Italy and Iran and a vaccine, Cluster 3 (purple): public sentiments about doomsday and science credibility. Cluster 4 (blue): public sentiments about COVID-19 in India. Cluster 5 (yellow): public sentiments about COVID-19’s emergence. Cluster 6 (light blue): public sentiments about COVID-19 in the Philippines. Cluster 7 (orange): Public sentiments about COVID-19 US Intelligence Report. The most frequent words/patterns discovered with SPM were “COVID-19,” “Coronavirus,” “Chinese virus” and the most frequent and high confidence sequential rules were related to “Coronavirus, testing, lockdown, China and Wuhan.”
Research limitations/implications
The methodology can be used to analyze the opinions/thoughts of the general public on Twitter and to categorize them accordingly. Moreover, the categories (generated by VOSviewer) can be correlated with the results obtained with pattern mining techniques.
Social implications
This study has a significant socio-economic impact as Twitter offers content posting and sharing to billions of users worldwide.
Originality/value
According to the authors’ best knowledge, this may be the first study to carry out a thematic analysis of COVID-19 tweets at a glance and mining the tweets with SPM to investigate how people reacted to the COVID-19 outbreak on Twitter.
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Hira Rani, Syed Mir Muhammad Shah, Waheed Ali Umrani, Jawad Syed and Gul Afshan
Utilizing affective event theory (AET), this paper aims to understand the affective reasoning behind choosing to speak up for or against abusive supervision. For this purpose, the…
Abstract
Purpose
Utilizing affective event theory (AET), this paper aims to understand the affective reasoning behind choosing to speak up for or against abusive supervision. For this purpose, the authors examine the underlying mechanism of employee state paranoia in the relationship between abusive supervision and promotive and prohibitive voice of employees.
Design/methodology/approach
Data from 307 microfinance bank employees were collected using supervisor–subordinate nested design and time-lag approach. The analysis was performed through partial least square (PLS) structural equation modeling using Smart PLS software.
Findings
The results support the direct relationship of abusive supervision with promotive and prohibitive voice. They also support the mediating relation of paranoia arousal between abusive supervision and promotive voice. However, the results do not support the mediating relationship of paranoia arousal between abusive supervision and prohibitive voice.
Originality/value
In light of the literature drawn from AET and empirical data, this study forwards robust recommendations for theory and practice and may assist future researchers interested in the role of employee paranoia arousal.
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Syed Asim Shah, Khalid Sultan, Muhammad Haroon Shoukat and Shafique Ur Rehman
The study examines the influence of quality management practices (QMP) on project performance (PP) and the indirect association of QMP with PP through the mediating role of…
Abstract
Purpose
The study examines the influence of quality management practices (QMP) on project performance (PP) and the indirect association of QMP with PP through the mediating role of intellectual capital (IC). QMP may be one of the most successful strategies to improve project performance. Drawing on the resource-based view (RBV) and institutional theory, the study examines the impact of QMP on PP through the mediating role of IC.
Design/methodology/approach
The sample frame of 329 employees in different NGOs and public healthcare organizations was selected. Data were analyzed on SmartPLS 3.2.7 by applying SEM.
Findings
The outcome reveals that QMP has a significant impact on PP. The results found partial mediation of IC on the linkage between QMP and PP.
Research limitations/implications
The key research limitation was that it examined only two antecedents (QMP and IC) of project performance based on RBV and institutional theory, which did not yield deep insights from other institutional forces that could influence the model, such as mimetic pressure, institutional pressure and business orientation.
Originality/value
QMP is highly significant in the healthcare sector; however, research on the relationship between QMP, IC and PP is lacking. Thus, this research is an initial attempt to investigate these relationships empirically. We add to our understanding of RBV by investigating the role of IC in mediating the QMP-PP linkage.
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Syed Imran Zaman, Sharfuddin Ahmed Khan, Angappa Gunasekaran and Syed Ahsan Zaman
Lean manufacturing (LM) is essential for businesses to remain competitive in today’s global economy and to meet the needs of consumers from three separate perspectives: price…
Abstract
Purpose
Lean manufacturing (LM) is essential for businesses to remain competitive in today’s global economy and to meet the needs of consumers from three separate perspectives: price, dependability and production schedules. A fundamental goal of this research is to how lean management in manufacturing organization may improve product value for the customer, address customer concerns, minimize costs and boost the firm’s profitability.
Design/methodology/approach
The extensive literature analysis identified a number of LM enablers and manufacturing industry factors that might favorably affect the organizations operational performance. Initially, 16 enablers of LM and 16 factors operational performance were identified, which were later reduced to 8 factors each. After that, Grey-DEMATEL technique was applied to investigate the relationships between the factors by categorizing elements into two groups (cause and effect) and ranking them within each category.
Findings
The results show that F4 (Work Force Development) and F7 (Six Sigma) were the key enablers of LM. Similarly, F12 (Maintain Better inventory control/optimize inventory level) and F14 (Reduce conversion cost) are the key effect factors of operational performance. It eliminates inefficiencies in the production process and internal storage requirements while retaining a high level of dependability and flexibility in response to customer demands.
Originality/value
LM has unquestionably been a popular method for improving the production efficiency of industrial sectors for the last two decades. Despite the fact that LM has helped several firms reduce waste and thereby improve a range of efficiency metrics, many businesses are still struggling to effectively transform into lean firms. While previous studies have explored LM’s significance and its influence on different aspects of organizational metrics in various industries, this research pioneers in probing into the nuanced relationship between LM enablers and OP in a critical and procedure-intensive industry.
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Talat Islam, Aiman Asif, Saqib Jamil and Hafiz Fawad Ali
This study aims to investigate how abusive supervisor affects knowledge hiding (KH). Specifically, this study investigates employee silence as a mediating mechanism between…
Abstract
Purpose
This study aims to investigate how abusive supervisor affects knowledge hiding (KH). Specifically, this study investigates employee silence as a mediating mechanism between abusive supervision and employees’ KH. Further, psychological ownership is examined as a buffer between abusive supervision and employee silence.
Design/methodology/approach
KH has become a major issue for both manufacturing and service sectors. Therefore, this study collected data from 322 employees working in manufacturing and service sectors through “Google Forms” during COVID-19. The respondents were contacted through LinkedIn platform between January and July 2021.
Findings
This study noted that when employees working in high-power distance cultures perceive their leaders/supervisors as abusive, they avoid confrontation and engage in silent behavior, which positively affects their KH behavior. However, employees with a high level of psychological ownership are less likely to respond to their abusive supervisors through silence because such employees feel a greater sense of belongingness and prefer to benefit their organization.
Research limitations/implications
This study used a cross-sectional design that restricts causality. However, the findings of this study suggest management to focus on leadership style to minimize KH at the workplace.
Originality/value
To the best of the authors’ knowledge, this study is the first to explore the underlying mechanism (employee silence) and boundary condition (psychological ownership) to explain the association between abusive supervision and KH.
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Rafiq Ahmed, Syed Tehseen Jawaid and Samina Khalil
Housing prices have been increasing tremendously in Pakistan, there should be many reasons but the haphazard urbanization and rapidly growing population. To find out the causes of…
Abstract
Purpose
Housing prices have been increasing tremendously in Pakistan, there should be many reasons but the haphazard urbanization and rapidly growing population. To find out the causes of this price rise, this study aims to assess the impact of the foreign capital inflow and some domestic factors on housing prices.
Design/methodology/approach
To get the benefits of high-frequency data, it has been converted into a monthly, quarterly and yearly basis. The unit root is performed to see the stationarity, Johansen test is used for cointegration and coefficients are obtained through the ordinary least squares technique. The robustness of the results is checked with dynamic ordinary least squares and the Chow breakpoint test is used to detect structural breaks.
Findings
The housing prices have increased over time; this has been reflected in all the data sets under observation. The country has observed a rapid growth in population and urbanization that has badly affected almost every activity of city life. The impact of foreign capital inflow is positive on the house price appreciation. There is a dire need to divert such foreign funds in the housing sector so that it cannot create an artificial price hike. The government should regularly publish a housing policy for the guidance of investors and the public at large. Also, public authorities should provide housing finance facility.
Originality/value
This is a novel work to the best of the authors’ knowledge because no one has studied the impact of foreign capital inflow on the housing market for the economy of Pakistan. Furthermore, this study is different in the sense that it has disaggregated annual data into a monthly and quarterly basis to get the benefits of high-frequency data.
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Saqib Muneer, Awwad Saad AlShammari, Khalid Mhasan O. Alshammary and Muhammad Waris
Financial market sustainability is gaining attention as investors and stakeholders become more aware of environmental, social and governance issues, pushing demand for responsible…
Abstract
Purpose
Financial market sustainability is gaining attention as investors and stakeholders become more aware of environmental, social and governance issues, pushing demand for responsible and ethical investment practices. Therefore, this study aims to investigate the impact of carbon (CO2) emissions from three sources, oil, gas and coal, on the stock market sustainability via effective government policies.
Design/methodology/approach
The eight countries belong to two different regions of world: Asian economies such as Pakistan, India, Malaysia and China, and OECD economies such as Germany, France, the UK and the USA are selected as a sample of the study. The 22-year data from 2000 to 2022 are collected from the DataStream and the World Bank data portal for the specified countries. The generalized methods of movement (GMM) and wavelet are used as the econometric tool for the analysis.
Findings
Our findings show that the CO2 emission from coal and gas significantly negatively impacts stock market sustainability, but CO2 emission from oil positively impacts stock market sustainability. Moreover, all the emerging Asian economies’ CO2 emissions from coal and gas have a much greater significant negative impact on the stock market sustainability than the OECD countries due to the critical situation. However, the government’s effective policies have a positive significant moderating impact between them, reducing the effect of CO2 emission on the stock market.
Research limitations/implications
This study advocated strong implications for policymakers, governments and investors.
Practical implications
Effective government policies can protect the environment and make business operations suitable, leading to market financial stability. This study advocated strong implications for policymakers, governments and investors.
Originality/value
This study provides fresh evidence of the government’s effective role to control the carbon environment that provide the sustainability to the organizations with respect to OECD and emerging economy.
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Ali Raza, Umair Khan, Aurang Zaib, Anuar Ishak and Syed Modassir Hussain
This article identifies hybrid nanofluids and industrial thermal engineering devices as significant sources of solar energy. In this study, various nanoparticles suspended in base…
Abstract
Purpose
This article identifies hybrid nanofluids and industrial thermal engineering devices as significant sources of solar energy. In this study, various nanoparticles suspended in base fluids such as water (
Design/methodology/approach
We have utilized the fractal fractional operator definition, the quickest and most advanced fractional approach, to address the problems with the hybrid nanofluid suspension. The integral transform scheme, i.e. the Laplace transform, converts the governing equations into a fractional form before various numerical methods are applied to solve the problem. Further, some numerical schemes to address the Laplace inverse are also utilized.
Findings
The fractional effects on flow rate and heat transfer are evident at varying time intervals. Consequently, we conclude that as the fractal constraints increase, the momentum and heat profiles decelerate. Furthermore, all necessary conditions are satisfied, resulting in the momentum and temperature fields decreasing near the plate and increasing over time. Additionally, the water-based (
Practical implications
The findings could be very useful in enhancing the efficiency of thermal systems. These findings align more accurately with conventional solutions and can be used to build and optimize various heat management strategies.
Originality/value
The primary goals of this research are to examine the thermal and flow properties of hybrid nanofluids for manufacturing purposes of thermal engineering equipment utilizing fractal fractional definition. Further, to improve thermal system productivity by applying sophisticated fractional techniques to better and maximize heat and momentum transmission in these hybrid nanofluid solutions
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Talat Islam, Saleha Sharif, Hafiz Fawad Ali and Saqib Jamil
Nurses' turnover intention has become a major issue in developing countries with high power distance cultures. Therefore, the authors attempt to investigate how turnover intention…
Abstract
Purpose
Nurses' turnover intention has become a major issue in developing countries with high power distance cultures. Therefore, the authors attempt to investigate how turnover intention among nurses' can be reduced through paternalistic leadership (PL). The authors further investigate the mediating role of job satisfaction between the associations of benevolent, moral and authoritarian dimensions of PL with turnover intention. Finally, the authors examined perceived organizational support (POS) as a conditional variable between job satisfaction and turnover intention.
Design/methodology/approach
The authors collected data from 374 nurses working in public and private hospitals of high power distance culture using a questionnaire-based survey on convenience basis.
Findings
Structural equation modeling confirms that benevolent and moral dimensions of PL positively affect nurses' job satisfaction which helps them reduce their turnover intention. While the authoritarian dimension of PL negatively affects job satisfaction to further enhance their turnover intention. In addition, the authors noted POS as a conditional variable to trigger the negative effect of job satisfaction on turnover intention.
Research limitations/implications
The authors used a cross-sectional design to collect responses and ensured the absence of common method variance through Harman's Single factor test.
Originality/value
This study identified the mechanism (job satisfaction and POS) through which benevolent, moral and authoritative dimensions of PL predict turnover intention among nurses working in high power distance culture.
研究目的
護士有離職意向,在擁有高權力距離文化的發展中國家,已成為一個重大的問題。因此,我們擬探討如何可以透過採用家長式領導、把護士離職的意欲減低,繼而研究工作滿足感,在離職意向與家長式領導中仁慈、道德和獨裁這三個層面的關係中所起的中介作用。最後,我們就組織支持感,作為是工作滿足感與離職意向之間的一個條件變數,進行了研究。
研究設計/方法/理念
本研究透過採用在便利的基礎上進行的問卷調查,從374名在高權力距離文化的公營和私營醫院內工作的護士取得數據,進行分析。
研究結果
結構方程模型證實了家長式領導中的仁慈和道德這兩個層面,會對可減低護士離職意欲的工作滿足感,產生積極的影響。家長式領導中的獨裁層面、則會對護士的工作滿足程度產生負面的影響,繼而增強其離職意欲。而且,我們確認了組織支持感是一個會增強工作滿足感與離職意向之間負相聯的條件變數。
研究的局限/啟示
我們以橫斷面的設計法來收集回應,並透過採用哈曼 (Harman) 的單因素檢定法,來確保共同方法變異不會存在。
研究的原創性/價值
本研究確定了一個 (工作滿足感與組織支持感) 機制,透過這機制,家長式領導中的仁慈、道德和獨裁這三個層面可預測於高權力距離文化工作的護士的離職意向。