Search results

This paper aims to examine the impact of innovativeness on customer satisfaction through mediation of perceived quality and also examines the effect of consumer involvement and communication strategy as moderating variables to validate relationship between innovativeness and perceived quality from the perspective of Generation M.

Cluster sampling method is used and data is collected from 451 graduates studying in different universities of Sahiwal division to know their perception regarding mobile phones brands. Structural equation modelling technique is used, and all analyses are performed using SPSS 23.0 and SmartPLS 2.0 to know the findings of the study.

This study finds positive significant nexus between innovativeness-satisfaction, innovativeness-perceived quality and perceived quality-customer satisfaction at brand level. This study also finds that perceived quality is a significant mediator between brand innovativeness and customer satisfaction. However, moderating variables do not help to boost the relationship among brand innovativeness and perceived quality to transmit their impact on customer satisfaction.

This study may help to understand the preferences of different generations. Findings of the study can also benefit the firms in investment decisions, brand management and formulation of innovative strategies for future.

To the best of the authors’ knowledge, this work is one of the first studies to investigate the integrated model of BI-CS through mediating and moderating variables to know the perception of Generation M regarding smartphone brands in developing economies like Pakistan.

The purpose of this study is to examine the relationship between knowledge-hiding behaviors (evasive hiding, playing dumb and rationalized hiding) and employees’ silence (defensive silence, relational silence and ineffectual silence). Besides, this paper investigates the relation mediated by psychological contract breach.

The data were collected with three-time lags (40 days each) through a structured questionnaire from 389 employees of registered software houses in Pakistan. The structural equation modeling (partial least squares) approach is used for data analysis.

The findings of this study confirm that knowledge-hiding behaviors have a significant and positive relationship with employees’ silence, and psychological contract breach significantly mediates the relationship between knowledge-hiding behaviors and employees’ silence.

The implications of this study are very supportive to the knowledge-intensive organizations, i.e. software houses. The management should increase the knowledge sharing and trust culture among employees to discourage the knowledge-hiding behaviors among employees. Moreover, supervisors should develop trust among employees, motivate them to avoid knowledge hiding and encourage the employees to raise their voices against their problems in a formal way.

The present study highlights the impact of different dimensions of knowledge hiding on employees’ silence and the role of psychological contract breach as a mediator in this scenario.

The purpose of this paper is to investigate the impact of human capital (HC), intellectual property rights (IPRs) and research and development (R&D) expenditures on total factor productivity (TFP), which leads to economic growth.

The panel data technique is used on a sample of 16 countries categorized into two groups, namely Brazil, Russia, India and China (BRIC) and Central and Eastern European (CEE) countries and, in order to make a comparison for the time period of 2007–2015, the researchers used a fixed effect model as an estimation method for regression.

The results indicate that HC, IPRs and R&D expenditures appear to be statistically significant and are strong factors in determining changes in TFP and exhibit positive results in all sample sets. Moreover, IPRs alone do not accelerate growth in an economy, especially taking the case of emerging nations.

Considering the importance of CEE and BRIC countries, and inadequate research on these regions with respect to current study’s variables and techniques, the present research provides valuable insights about the importance of HC, IPR and R&D activities and their impact on TFP, which leads to economic growth. IPRs create a fertile environment for R&D activities, knowledge creation and economic development. Distinct nations can attain better economic status via HC, R&D activities, innovation, trade and FDI, although the relative significance of these channels is likely to differ across countries depending on their developmental levels.

This study divulges the new concept of employees' withdrawal behavior during the global pandemic (COVID-19). The study's purpose is to draw new insights into workplace stressors and employee withdrawal behavior. The study also considers the mediating role of aggression and the moderating role of COVID-19 worry and cyberloafing.

The study's statistical population consists of 384 frontline hotel employees from Pakistan's hospitality industry. Statistical analysis SPSS and AMOS were utilized to conduct Pearson's correlation and multilevel regression analysis. A Hayes process technique has been used for moderation and mediation analysis.

The results demonstrated that COVID-19 has a psychological effect on the employee's mental health and higher turnover intention during the current pandemic. Workplace stressor is significantly related to aggression and employee withdrawal behavior. Aggression mediates the relationship between workplace stressors and withdrawal behavior. The study results show that COVID-19 worry moderates between workplace stressors and aggression – notably, cyberloafing moderate aggression and withdrawal behavior.

The government and hospitality organizations need to implement crisis management strategies in response to COVID-19. This research can help management in coping with employees' mental and psychological challenges. Employees' mental health has been affected during the current global health crises. Firms should encourage their employees psychologically while going for downsizing.

This study enhances the existing literature on the COVID-19 crisis in Pakistan's hospitality industry. This study contributes to new understandings of employees' withdrawal behavior in the hospitality industry. The research shows how COVID-19 affects employees' turnover, mental health and job performance in the hospitality industry. Employees are facing mental and physiological challenges during COVID-19. The study fills a considerable gap in the hospitality industry by exploring the role organization's crisis management during a global pandemic.

The purpose of this paper is to examine the difference between fresh graduates’ expectations and actual experiences regarding work environment.

A questionnaire-based survey was employed on 170 Malaysian fresh graduates. They were evaluated on the basis of their expectations and actual experiences which enabled the researcher to determine gaps.

Using paired sample t-test it was found that there exist gaps regarding what fresh graduates expect and their actual experience regarding work environment. Leadership communication and decision making were found to be significantly related with job satisfaction whereas leadership was found to be related with organizational commitment.

The study used a selected sample from Malaysian graduates, the results might be different if samples are taken from a geographically different area.

The study has implications for fresh graduates, employers and higher learning organization.

Limited studies have examined fresh graduates regarding what they were expecting and actually experienced in the workplace. Moreover, the study also identifies how these gaps influence graduates’ job satisfaction and organizational commitment.

This paper aims to investigate the influence of supervisor's ethical leadership style on subordinates' green or pro-environmental work behavior in the presence of green human resource management (GHRM) as a mediator and environmental knowledge as a moderator.

A questionnaire-based was distributed to 427 supervisor–subordinate dyads working in various Pakistani organizations. Structural equation modeling was used to determine the mechanisms and boundary conditions in the relationship between supervisor's ethical leadership style and subordinates' green behavior.

Structural equation modeling supported a partial mediating role of GHRM in the influence of ethical leadership on green work behavior. Further, the findings revealed that employee's environmental knowledge can magnify the indirect impact of ethical leadership, via GHRM, on green behavior.

Cross-sectional survey data are typically associated with common method bias. To counter this bias, we collected data from dual sources, namely, supervisors and their subordinates. The research findings have implications in deepening the understanding of the impact of ethical leadership in improving environmental performance of the organization.

This is the first study that utilizes multi-sourced data to examine the mediating role of GHRM and the moderating role of environmental knowledge in the relationship between ethical leadership and green behavior at work.

The paper aims to test the effect of liquidity creation on profitability and stability with the moderating role of political instability and its level of implication on the overall banking sector of Pakistan.

This study uses the panel data estimation technique, including fixed- and random-effect model, by taking sample data of 28 banks of Pakistan that are providing their services from 2006 to 2019. Moreover, this study uses the Genreralized Method of Moments (GMM) estimation technique to check the robustness of the results.

The empirical outcomes of this study found a negative relationship of liquidity creation with profitability meanwhile positive relation with banking stability. However, this study shows a negative relation of political instability with liquidity creation, profitability and stability of overall banks of Pakistan.

The findings of this paper recommended the vital role of liquidity creation in the profitability and stability of banks, especially in the decision-making process of the investors and bank managers, and how it is affected strongly in the presence of an unstable political situation. These findings may be helpful for policymakers to devise appropriate policies to maintain a fair field between state authority and financial institutions and also assist in formulating strategies to strengthen the banking sector of Pakistan to avoid financial turmoil in the future.

As per the knowledge of the authors, this study is the first contribution to examine the moderating effect of political instability on liquidity creation, profitability and stability of the overall banking sector of Pakistan.

This is Part 1 of the two special issues on the topic, “School to work transition around the world – the effect of the pandemic recession.” The first part focuses on the determinants of the school-to-work transition (STWT) and the implications of the COVID-19 pandemic on the young worker and their response to uncertain labor market conditions. The second issue will explore the country-specific experiences around the globe in tackling the problem of a smooth STWT. The purpose of this introductory article is to elaborate on the transition of young workers in the labor market. Discussion on the status of various indicators of the youth labor market (unemployment, underemployment and not in employment, education and training [NEET]) is also integrated. The determining factors of school-to-work transition (STWT) and the role of technical and vocational institutions and universities are analyzed. Moreover, the impact of COVID-19 on the labor market is also evaluated. After the pandemic, there was a dreadful change in the job market; this study dives into those diverse factors and carves out the multiple impacts on youth unemployment.

The study analyses relevant literature on STWT, NEET and COVID-19 implications for the labor market, based on the other papers in this special issue. Using the review method, the authors identified similar research articles and reports which helped in strengthening the study’s argument. The primary focus of the study was on the smooth transition of young workers in the labor market and the impact of the pandemic on youth unemployment. Hence, literature supported the authors in giving the justifications from various economies and societies.

The paper finds that youth worldwide have suffered from the repercussions of COVID-19, especially in their early career (STWT). Skill mismatch, underemployment, job losses, salary cut downs, health issues, vocational education importance, vulnerable employment, etc. were some of the significant impacts the authors identified by analyzing the various reports and papers. Furthermore, this paper also discusses the role of active labor market policies and hiring incentives for promoting youth employment.

The paper finds that the times ahead are challenging ones. There is a dearth of productive job opportunities due to slow economic growth. The unemployment rate among youth and adults is high, and labor markets have become more competitive. The young generation is now left with no choice but to upgrade and improve their skill set or some other expertise. On the one hand, technical and vocational education and training (TVET) and universities need to enhance their marketable knowledge and skills, and on the other hand, there is a need for active labor market policies to encourage their participation in the labor markets.

This paper strongly contributes to highlighting the professional and societal hit backs faced due to the aftermath of COVID-19. The study summarizes the specific details of STWT and employment issues faced by youth in various parts of the world.

The purpose of this paper is to explore the novel aspects of activation energy in the nonlinearly convective flow of Walter-B nanofluid in view of Cattaneo–Christov double-diffusion model over a permeable stretched sheet. Features of nonlinear thermal radiation, dual stratification, non-uniform heat generation/absorption, MHD and binary chemical reaction are also evaluated for present flow problem. Walter-B nanomaterial model is employed to describe the significant slip mechanism of Brownian and thermophoresis diffusions. Generalized Fourier’s and Fick’s laws are examined through Cattaneo–Christov double-diffusion model. Modified Arrhenius formula for activation energy is also implemented.

Several techniques are employed for solving nonlinear differential equations. The authors have used a homotopy technique (HAM) for our nonlinear problem to get convergent solutions. The homotopy analysis method (HAM) is a semi-analytical technique to solve nonlinear coupled ordinary/partial differential equations. The capability of the HAM to naturally display convergence of the series solution is unusual in analytical and semi-analytic approaches to nonlinear partial differential equations. This analytical method has the following great advantages over other techniques:

• It provides a series solution without depending upon small/large physical parameters and applicable for not only weakly but also strongly nonlinear problems.

• It guarantees the convergence of series solutions for nonlinear problems.

• It provides us a great choice to select the base function of the required solution and the corresponding auxiliary linear operator of the homotopy.

It provides a series solution without depending upon small/large physical parameters and applicable for not only weakly but also strongly nonlinear problems.

It guarantees the convergence of series solutions for nonlinear problems.

It provides us a great choice to select the base function of the required solution and the corresponding auxiliary linear operator of the homotopy.

Brief mathematical description of HAM technique (Liao, 2012; Mabood et al., 2016) is as follows. For a general nonlinear equation:

where N denotes a nonlinear operator, x the independent variables and u(x) is an unknown function, respectively. By means of generalizing the traditional homotopy method, Liao (1992) creates the so-called zero-order deformation equation:

here q∈[0, 1] is the embedding parameter, H(x) ≠ 0 is an auxiliary function, h(≠ 0) is a nonzero parameter, L is an auxiliary linear operator, u_o(x) is an initial guess of u(x) and u ˆ ( x ; q ) is an unknown function, respectively. It is significant that one has great freedom to choose auxiliary things in HAM. Noticeably, when q=0 and q=1, following holds:

Expanding u ˆ ( x ; q ) in Taylor series with respect to (q), we have:

If the initial guess, the auxiliary linear operator, the auxiliary h and the auxiliary function are selected properly, then the series (4) converges at q=1, then we have:

By defining a vector u → = ( u o ( x ) , u 1 ( x ) , u 2 ( x ) , … , u n ( x ) ) , and differentiating Equation (2) m-times with respect to (q) and then setting q=0, we obtain the mth-order deformation equation:

where:

Applying L⁻¹ on both sides of Equation (6), we get:

In this way, we obtain u_m for m ⩾ 1, at mth-order, we have:

It is evident from obtained results that the nanoparticle concentration field is directly proportional to the chemical reaction with activation energy. Additionally, both temperature and concentration distributions are declining functions of thermal and solutal stratification parameters (P₁) and (P₂), respectively. Moreover, temperature Θ(Ω₁) enhances for greater values of Brownian motion parameter (N_b), non-uniform heat source/sink parameter (B₁) and thermophoresis factor (N_t). Reverse behavior of concentration ϒ(Ω₁) field is remarked in view of (N_b) and (N_t). Graphs and tables are also constructed to analyze the effect of different flow parameters on skin friction coefficient, local Nusselt number, Sherwood numbers, velocity, temperature and concentration fields.

The novelty of the present problem is to inspect the Arrhenius activation energy phenomena for viscoelastic Walter-B nanofluid model with additional features of nonlinear thermal radiation, non-uniform heat generation/absorption, nonlinear mixed convection, thermal and solutal stratification. The novel aspect of binary chemical reaction is analyzed to characterize the impact of activation energy in the presence of Cattaneo–Christov double-diffusion model. The mathematical model of Buongiorno is employed to incorporate Brownian motion and thermophoresis effects due to nanoparticles.