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Article
Publication date: 22 January 2021

Mumtaz Hussain, Muhammad Farhan Bashir and Umer Shahzad

The prime objective of this study is to offer fruitful implications about allocation and directing foreign direct investment (FDI) to gain maximum economic advantage. The study…

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Abstract

Purpose

The prime objective of this study is to offer fruitful implications about allocation and directing foreign direct investment (FDI) to gain maximum economic advantage. The study offers innovative findings by contributing to a new angle.

Design/methodology/approach

The study used the annual data of 24 countries, for the period of 1995–2016 and employed quantile regression and GMM as main estimation techniques. For robustness of empirical findings and to check income effect, the study divided the countries as high income, low-income panels.

Findings

Overall, the findings reported very interesting and surprising results as regional analysis. The results show the sensitivity of FDI for Middle East and high-income group of countries, inferring that there might several other factors due to which FDI is adversely affecting growth and these countries need to reform institutional quality.

Research limitations/implications

The paper is restricted for 24 countries of Asia and Middle East, based on the data availability.

Practical implications

The high-income countries should put more efforts to attract funds. The Asian and Middle East countries countries can update trade regulations to encourage entrepreneurs and reduce trade tariffs.

Originality/value

The present study investigated the role of FDI for economic growth in the context of Belt and Road Initiative countries of Middle East and Asian regions. The paper reviewed the past literature and identified regional analysis as a research gap to focus on Belt and Road Initiative in Asia and Middle East region.

Details

World Journal of Entrepreneurship, Management and Sustainable Development, vol. 17 no. 1
Type: Research Article
ISSN: 2042-5961

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Article
Publication date: 5 February 2025

Justyna Żywiołek, Kaliyan Mathiyazhagan, Umer Shahzad, Xin Zhao and Tarik Saikouk

This research primarily aims to investigate the impact of organizational implants on knowledge transmission, process innovation and security integration in intricate supply chains.

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Abstract

Purpose

This research primarily aims to investigate the impact of organizational implants on knowledge transmission, process innovation and security integration in intricate supply chains.

Design/methodology/approach

The research utilizes a mixed-method approach, employing a stratified sampling strategy to get a representative sample of 1,284 enterprises from various sectors within the logistics industry within the European Union. Data were gathered by computer-assisted web interviewing (CAWI) and analysed utilizing structural equation modelling (SEM) to evaluate hypotheses concerning cognitive congruence, process diffusion and security integration.

Findings

The results indicate that while task interdependence clearly improves face-to-face communication, excessive cognitive congruence can hinder process innovation, resulting in what the article terms “cognitive rigidity.” The study suggests that achieving a balance between cognitive congruence and cognitive flexibility is crucial to improving the safety diffusion and integration process.

Originality/value

This study presents an innovative conceptual framework that synthesizes cognitive congruence, cognitive flexibility and cognitive rigidity to examine their combined influence on knowledge transfer and process dissemination throughout supply chains. It presents cognitive stiffness as a boundary condition, contesting the conventional belief that more cognitive congruence is invariably advantageous.

Details

The International Journal of Logistics Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0957-4093

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Article
Publication date: 26 June 2020

Muhammad Umer Azeem, Sami Ullah Bajwa, Khuram Shahzad and Haris Aslam

This paper investigates the role of psychological contract violation (PCV) as the antecedent of employee turnover intention. It also explores the role of job dissatisfaction and…

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Abstract

Purpose

This paper investigates the role of psychological contract violation (PCV) as the antecedent of employee turnover intention. It also explores the role of job dissatisfaction and work disengagement as the sequential underlying mechanism of a positive effect of PCV on employee turnover intention.

Design/methodology/approach

Drawing on social exchange theory (SET), the authors postulate that PCV triggers negative reciprocity behaviour in employees, which leads to job dissatisfaction and work disengagement, which in turn develop into turnover intentions. The authors tested the research model on time-lagged data from 200 managers working in the banking sector of Pakistan.

Findings

The findings confirmed the hypothesis that employees experiencing PCV raise their turnover intentions because of a feeling of organisational betrayal which makes them dissatisfied and detached from their work.

Originality/value

This research advances the body of knowledge in the area of psychological contracts by identifying the mechanisms through which PCVs translate into employee turnover intentions.

Details

Employee Relations: The International Journal, vol. 42 no. 6
Type: Research Article
ISSN: 0142-5455

Keywords

Available. Open Access. Open Access
Article
Publication date: 24 June 2020

Shahzad Alvi and Umer Khayyam

This study aims to examine peoples’ perception of climate change. It assessed their attitude, behavioural motivation for mitigating and adapting to climate change in the two…

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Abstract

Purpose

This study aims to examine peoples’ perception of climate change. It assessed their attitude, behavioural motivation for mitigating and adapting to climate change in the two capital cities of South Asia: Islamabad in Pakistan and Dhaka in Bangladesh.

Design/methodology/approach

This study used the quantitative research technique based on responses of 800 close-ended questions embedded in a close-ended questionnaire, which were filled-out from randomly selected sample of respondents. The primary data was analysed and presented through tabulation. For binary dependent variables, the standardised logistic coefficients were projected for more reliable estimates.

Findings

The findings reveal that the population of both capital cities have a low personal perception of climate change. Also, the dwellers of both cities have a low level of motivation to take mitigative and adaptive measures against climatic hazards. The results of the logistic regression model further indicate that the people who believe that climate change is a threat to their lives are more likely to adopt mitigative and adaptive strategies. This mostly applies to the people with a relatively higher income and education level.

Research limitations/implications

This study implies to create awareness and sensitise the local community in both the capitals and beyond through information dissemination. Further, the availability of toolkits to handle emergencies remains imperative in registering attitudinal and behavioural changes to reduce the impacts of climate variability in poor localities.

Originality/value

This research study analysed the link between climate change mitigation and energy conservation from the societal attributes of perception, motivation, attitude and behaviour, which remains essential for community-based mitigation against climatic hazards.

Details

International Journal of Climate Change Strategies and Management, vol. 12 no. 4
Type: Research Article
ISSN: 1756-8692

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Article
Publication date: 1 September 2023

Mubasher Iqbal, Shajara Ul-Durar, Noman Arshed, Khuram Shahzad and Umer Ayub

Increased trapped heat in the atmosphere leads to global warming and economic activity is the primary culprit. This study proposes the nonlinear impact of economic activity on…

187

Abstract

Purpose

Increased trapped heat in the atmosphere leads to global warming and economic activity is the primary culprit. This study proposes the nonlinear impact of economic activity on cooling degree days to develop a climate Kuznets curve (CKC). Further, this study explores the moderating role of higher education and renewable energy in diminishing the climate-altering effects of economic activity.

Design/methodology/approach

All the selected BRICS economies range from 1992 to 2020. The CKC analysis uses a distribution and outlier robust panel quantile autoregressive distributed lagged model.

Findings

Results confirmed a U-shaped CKC, controlling for population density, renewable energy, tertiary education enrollment and innovation. The moderating role of renewable energy and education can be exploited to tackle the progressively expanding climate challenges. Hence, education and renewable energy intervention can help in reducing CKC-based global warming.

Research limitations/implications

This study highlighted the incorporation of climate change mitigating curriculum in education, so that the upcoming economic agents are well equipped to reduce global warming which must be addressed globally.

Originality/value

This study is instrumental in developing the climate change-based economic activity Kuznets curve and assessing the potential of higher education and renewable energy policy intervention.

Details

International Journal of Emerging Markets, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1746-8809

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Article
Publication date: 11 April 2023

Dirk De Clercq, Inam Ul Haq and Muhammad Umer Azeem

This study aims to detail how employees’ experience of distributive injustice may compromise their job performance, with specific attention to how this detrimental process may be…

608

Abstract

Purpose

This study aims to detail how employees’ experience of distributive injustice may compromise their job performance, with specific attention to how this detrimental process may be explained in part by their beliefs about organization-level underperformance and moderated by their own psychological entitlement.

Design/methodology/approach

The research hypotheses were tested with three-round, time-lagged data collected among employees and their supervisors.

Findings

A critical channel through which employees’ perceptions that their organization’s reward system is unfair translates into thwarted job performance is a conviction that their organization does not meet its own performance targets. As a mediator, such organizational underperformance beliefs have particularly salient effects on employees who believe they are more deserving than others.

Practical implications

This study gives HR managers insights into how they can reduce the danger that unfair reward practices escalate into a reduced propensity by employees to complete their job tasks diligently. HR managers should make employees aware of their possible entitlement and discourage them from expecting that things always must go their way.

Originality/value

This research unpacks the connection between distributive injustice and job performance, by delineating the unique roles of two pertinent factors (organizational underperformance beliefs and psychological entitlement) in this connection.

Details

Journal of Organizational Effectiveness: People and Performance, vol. 10 no. 4
Type: Research Article
ISSN: 2051-6614

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Article
Publication date: 1 November 2019

Inam Ul Haq, Dirk De Clercq and Muhammad Umer Azeem

With a basis in conservation of resources theory, the purpose of this paper is to investigate the mediating role of championing behaviour in the relationship between employees’…

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Abstract

Purpose

With a basis in conservation of resources theory, the purpose of this paper is to investigate the mediating role of championing behaviour in the relationship between employees’ fear of terror and their job performance, as well as the buffering role of their passion for work, as a personal resource, in this process.

Design/methodology/approach

The tests of the hypotheses rely on three-wave, time-lagged data collected from employees and their supervisors in Pakistan.

Findings

An important reason that concerns about terrorist attacks diminish performance is that employees refrain from championing their own entrepreneurial ideas. This mediating role of idea championing is less salient, however, to the extent that employees feel a strong passion for their work.

Practical implications

For human resource managers, this study pinpoints a key mechanism – a reluctance to mobilize active support for entrepreneurial ideas – by which fears about terrorism attacks can spill over into the workplace and undermine employees’ ability to meet their performance requirements. It also reveals how this mechanism can be better contained by the presence of adequate personal resources.

Originality/value

This study adds to burgeoning research on the interplay between terrorism and organizational life by specifying how and when employees’ ruminations about terrorism threats might escalate into diminished performance outcomes at work.

Details

Personnel Review, vol. 49 no. 2
Type: Research Article
ISSN: 0048-3486

Keywords

Available. Open Access. Open Access
Article
Publication date: 23 November 2023

Reema Khaled AlRowais and Duaa Alsaeed

Automatically extracting stance information from natural language texts is a significant research problem with various applications, particularly after the recent explosion of…

471

Abstract

Purpose

Automatically extracting stance information from natural language texts is a significant research problem with various applications, particularly after the recent explosion of data on the internet via platforms like social media sites. Stance detection system helps determine whether the author agree, against or has a neutral opinion with the given target. Most of the research in stance detection focuses on the English language, while few research was conducted on the Arabic language.

Design/methodology/approach

This paper aimed to address stance detection on Arabic tweets by building and comparing different stance detection models using four transformers, namely: Araelectra, MARBERT, AraBERT and Qarib. Using different weights for these transformers, the authors performed extensive experiments fine-tuning the task of stance detection Arabic tweets with the four different transformers.

Findings

The results showed that the AraBERT model learned better than the other three models with a 70% F1 score followed by the Qarib model with a 68% F1 score.

Research limitations/implications

A limitation of this study is the imbalanced dataset and the limited availability of annotated datasets of SD in Arabic.

Originality/value

Provide comprehensive overview of the current resources for stance detection in the literature, including datasets and machine learning methods used. Therefore, the authors examined the models to analyze and comprehend the obtained findings in order to make recommendations for the best performance models for the stance detection task.

Details

Arab Gulf Journal of Scientific Research, vol. 42 no. 4
Type: Research Article
ISSN: 1985-9899

Keywords

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Article
Publication date: 1 July 2020

Syed Ali Raza, Amna Umer, Muhammad Asif Qureshi and Abdul Samad Dahri

This study explores the service quality dimensions in Internet banking and their impact on e-customer’s satisfaction and e-customer’s loyalty. This study tries to inspect the…

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Abstract

Purpose

This study explores the service quality dimensions in Internet banking and their impact on e-customer’s satisfaction and e-customer’s loyalty. This study tries to inspect the structural association between Internet banking service quality, electronic customer satisfaction and electronic customer loyalty based on separate constructs.

Design/methodology/approach

In this present research, quantitative approach is applied. The data is gathered from 500 bank clients in Pakistan by using structured questionnaires, and the theoretical model is tested by partial least square structured equation modeling (PLS-SEM). Moreover, convergent validity and discriminant validity were assessed.

Findings

Results show that all the dimensions are found to have a positive and significant influence on customer satisfaction while customer’s satisfaction has a significant and positive impact on customer’s loyalty. Findings indicate that service quality plays a very important role in every society, as it has become the basis for how customers interpret online banking and, in the end, how it interacts and operates with online services.

Practical implications

This research adds up considerably to the literature of bank marketing, and it is also fruitful for the academicians since it demonstrates the way Internet banking service quality determinants predict e-satisfaction of clients which ultimately raises the e-loyalty of clients. This study is useful for those E-retailers and managers who want to grab e-retailing market.

Originality/value

This research suggests a model which ultimately enhances customer loyalty towards Internet banking service quality through customer satisfaction in Pakistan. It involves modified model of E-SERVQUAL (user friendliness, efficiency of websites, personal need, and site organization) which connects it to electronic customer satisfaction and electronic customer loyalty. Therefore, it will assist the Internet banking sector in building effective marketing tactics, establishing long lasting relationships with clients and acquiring the competitive edge in the market.

Details

The TQM Journal, vol. 32 no. 6
Type: Research Article
ISSN: 1754-2731

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Article
Publication date: 27 August 2024

Umar Farooq, Tao Liu, Ahmed Jan, Umer Farooq and Samina Majeed

In this study, we investigate the effects of an extended ternary hybrid Tiwari and Das nanofluid model on ethylene glycol flow, with a focus on heat transfer. Using the Cross…

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Abstract

Purpose

In this study, we investigate the effects of an extended ternary hybrid Tiwari and Das nanofluid model on ethylene glycol flow, with a focus on heat transfer. Using the Cross non-Newtonian fluid model, we explore the heat transfer characteristics of this unique fluid in various applications such as pharmaceutical solvents, vaccine preservatives, and medical imaging techniques.

Design/methodology/approach

Our investigation reveals that the flow of this ternary hybrid nanofluid follows a laminar Cross model flow pattern, influenced by heat radiation and occurring around a stretched cylinder in a porous medium. We apply a non-similarity transformation to the nonlinear partial differential equations, converting them into non-dimensional PDEs. These equations are subsequently solved as ordinary differential equations (ODEs) using MATLAB’s bvp4c tools. In addition, the magnetic number in this study spans from 0 to 5, volume fraction of nanoparticles varies from 5% to 10%, and Prandtl number for EG as 204. This approach allows us to examine the impact of temperature on heat transfer and distribution within the fluid.

Findings

Graphical depictions illustrate the effects of parameters such as the Weissenberg number, porous parameter, Schmidt number, thermal conductivity parameter, Soret number, magnetic parameter, Eckert number, Lewis number, and Peclet number on velocity, temperature, concentration, and microorganism profiles. Our results highlight the significant influence of thermal radiation and ohmic heating on heat transmission, particularly in relation to magnetic and Darcy parameters. A higher Lewis number corresponds to faster heat diffusion compared to mass diffusion, while increases in the Soret number are associated with higher concentration profiles. Additionally, rapid temperature dissipation inhibits microbial development, reducing the microbial profile.

Originality/value

The numerical analysis of skin friction coefficients and Nusselt numbers in tabular form further validates our approach. Overall, our findings demonstrate the effectiveness of our numerical technique in providing a comprehensive understanding of flow and heat transfer processes in ternary hybrid nanofluids, offering valuable insights for various practical applications.

Details

Multidiscipline Modeling in Materials and Structures, vol. 20 no. 6
Type: Research Article
ISSN: 1573-6105

Keywords

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