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This study aims to explain the relationship of employee voice and turnover intention with the mediating role of top management team (TMT) conflicts. Moreover, this study also aims to find the moderating influence of union instrumentality among employee voice and TMT conflicts.

The study was conducted by using a quantitative approach and data was collected from 300 employees of the manufacturing sector of Pakistan through questionnaires. Data were analyzed by applying different statistical tools and tests through SPSS-21 and AMOS.

Results demonstrate that employee voice has a significant negative impact on employee turnover intention; TMT conflicts significantly mediate employee voice and intention to quit. However, union instrumentality is only initiated to moderate the relationship between employee voice and cognitive conflict.

This research focuses on the manufacturing sector and data have been collected from manufacturing firms situated in Gujranwala, Pakistan only. Moreover, the sample size of the study is also small. Therefore, the current study is an addition to the knowledge and understanding of the studied variables.

This study is of great use for managerial level employees because the adequate implication of employee voice can reduce turnover intention.

This study aims to add value to the existing exit-voice theory and discuss the internal organizational factors that generate quitting intentions. Moreover, it provides insights about union instrumentality and its significant role as a moderator and the significant mediating role between employee voice and intention to quit paving new ways for future researchers.

The purpose of this paper is to investigate the benefits of social media to enhance knowledge exchange in the organizations. Moreover, the current qualitative inquiry elaborates the orientation of doctors about social media applications and knowledge exchange in the workplace.

The constructionism approach based on grounded theory followed by qualitative design is used to investigate the exposition with the help of 22 non-directive and semi-structured interviews from the doctors of Bahawal Victoria Hospital. The cases are selected by using convenience sampling and thematic analysis is done using NVivo-11 plus.

The results end up with four major themes. The social media applications, at the first door, extend communication and relationship among employees. Moreover, these applications are equally beneficial for acquiring existing and new knowledge. Additionally, social media applications advance knowledge exchange by promoting knowledge sharing and transfer.

This study is equally beneficial for employees and management to promote knowledge exchange through social media applications. The effective and efficient use of social media applications helps organizations to boost knowledge strength among employees and can address various critical issues.

This is an attempt to sightsee the unattended dimension (i.e. knowledge exchange) in the context with social media. The social media applications are popular all over the world and pace of their usage is increasing day by day but their real contribution toward organizational well-being is still lacking in contemporary literature.

In the current dynamic world, organizations required rapid changes to meet the increasing demands of their customers. On the other hand, the practice side claims that the majority of the organizational change attempts fail due to resistance from the employee side. Based on the behavioral theory of leadership, the authors examined the relationship between ethical leadership and organizational change with moderated mediation effect of behavioral resistance to change and commitment to change on the stated relationship.

Data were obtained from 333 employees, selected at random, in three waves (i.e. pre-change, during change and post-change) using survey methods from services sector organizations operating in Pakistan.

The authors found that ethical leadership was positively linked to organizational change and this relation was partially mediated by the commitment to change. Further, behavioral resistance to change weakened the relationship between ethical leadership and commitment to change.

The current study illuminates the importance of ethical leaders in the organizational change process, and empirical findings also gave an important direction to build change commitment in employees to reach positive results. Further, change leaders should use ethical practices in the workplace during organizational change initiatives to deal with behavioral resistance to change.

This study links ethical leadership with organizational change using the behavioral theory of leadership, an unexplored area in the existing literature that gives a new insight to academia and practice side officials to successfully implement any organizational change initiative.

This qualitative study deals with the career longevity phenomenon in the hospitality sector of Pakistan and aimed at exploring the factors which become the reason for continuing services in this sector for a longer period despite the prevailing perception of the short-term and unsatisfactory hospitality careers.

The study has taken up an interpretive social constructivism approach to carry out the research. The purposive sampling technique is used to solicit expert insights into the dynamics of the hospitality career. A thematic analysis was employed to identify the common themes, extract the meaning from the discussion patterns of the respondents, and outline viewpoints and ideas of the respondents.

The findings of the study are discussed at three levels of career, i.e. entry level, development level, and consolidation level. Long careers in the hospitality sector are a product of dedication and commitment to the job, professionalism, variety, complexity of the job, and healthy relationship with coworkers, supervisors, and guests.

The study links the belief of belonging and socialization attributes to the retention of employees in the hospitality sector jobs. Secondly, the study uses a qualitative approach to provide a diverse perspective of employee–industry loyalty rather than employee–organization loyalty. Thirdly, the study brings forth practical implications for personnel managers in the hospitality sector and proposes that the management should systematically stimulate the socialization of the workers to hold the talent despite providing workers with the opportunity to join another sector. Finally, the study informs about research limitations and directions for future research.

This study aims to check the impact of consumer ethnocentrism (CE) and animosity on brand image (BI) and brand loyalty (BL) of Indian made cosmetic products in Pakistan and to check the mediation role of product judgment (PJ) related to Indian made cosmetic products in this relationship.

In this study, the researcher used quantitative techniques to collect data. Online survey strategy was used for data collection and the technique of purposive sampling was used to select 280 consumers as respondents of said study. SPSS-20 and AMOS-21 were used for data analysis and to test the hypotheses of the study.

The results indicate that there is a positive relationship between CE and BL that is the novel result of this study because past studies proved negative relation in CE and BL and there is no direct relationship between CE and BI. The results also indicate that consumer animosity (CA) has a negative impact on BI and BL of Indian made cosmetic products in Pakistan. The results of mediation indicate that PJ is playing partial mediation in this relation.

This study is for the first time that is conducted in the context of India and Pakistan. Similarly, PJ is tested as a mediator for the first time in the relationship between CE and CA and BI and BL. This study would be beneficial for foreign brands generally and for Indian cosmetic brands specifically. In addition, it may provide help to business students and scholars to further understand and explore these variables in the context of developing countries.

This study aims to examine the asymmetric S-curve between the trade balances of Pakistan and China at the commodity level using disaggregated data.

This study focuses on Pakistan and China bilateral trade based on commodity-level data. This study delves into the S-curve phenomena by examining time series data from 1980 to 2023 across 32 three-digit industries/commodities.

The findings show significant evidence in favor of the “asymmetric S-curve” in 27 out of the 32 industries studied. This study confirms that the devaluation of home currency is not a viable solution always to improve trade balance.

This study considers 32 three-digit industries limiting the generalizability of findings. Due to data unavailability, the authors fail to consider other industries. In the absence of quarterly data on industry-level trade between Pakistan and China, annual data from 1980 to 2023 were used in generating the cross-correlation functions. Previous literature frequently resorted to the general consumer price index with its inherent aggregation issues, whereas this study has opted for commodity price indices to overcome the shortcomings in the estimation of S-curves at the commodity level.

The findings have practical relevance in guiding policy decisions regarding commodity trade, whereas the industry-wise analysis enriches the understanding of the short-term effects of currency depreciation on trade balance dynamics.

The S-curve hypothesis predicts a negative cross-correlation between a country's current exchange rate and its past trade balance and a positive cross-correlation between the current exchange rate and its future trade balance. Previous empirical S-curve studies had the limitation of assuming symmetry in cross-correlation with both current and future trade balance values.

Most research on information and communication technologies (ICT) differences has been related to gender and ethnicity, and to a lesser extent religious affiliation. The purpose of this paper is to contribute to this field of research by situating the discussion in the context of British Muslims and extending current research into ICT differences beyond gender and ethnicity.

This paper explores the ICT differences in access and use by British Muslim teenage girls at Islamic faith schools, and ICTs’ perceived influence on learning. The qualitative research was undertaken by conducting 45 semi-structured interviews with British Muslim teenage girls in Islamic faith schools.

The study provides tentative findings that Islamic faith schools are not only framed by the wider diverse Muslim community, but also by the supplementary schooling of madrasahs. The findings suggest that the home use of ICTs was reinforced rather than compensated for by the Islamic faith schools. This seemed to inhibit many pupils’ access to online educational resources. The authors found that didactic instruction was prevalent and this provided tentative insights into the types of digital inequity experienced by many pupils.

The research into ICT differences in the UK adopted the premise that the unity in Muslim identity increasingly transcends ethnicity and gender in the Muslim community.

This study aims to identify the determinants of housing affordability in an effort to inform policy.

The authors use econometric analysis to determine variables that impact housing affordability in the USA.

The authors find that affordability depends on a number of demographic factors as well as physical characteristics of properties, including average age of homeowner, family size and average dwelling square footage. The authors also find that vacancy rates, increase in house price and median family income also have a significant impact on housing affordability. Additionally, the authors find that households with high-cost burdens are more vulnerable to mortgage rates and property taxes than those with moderate-cost burdens. As a result, changes in economic or policy variables tend to have a disproportionate impact on high-cost-burdened households, and they are more vulnerable to economic and policy shocks.

To date, the literature has not done a systematic investigation of housing affordability using detailed census data.

This work presents a new two-step iterative technique for solving absolute value equations. The developed technique is valuable and effective for solving the absolute value equation. Various examples are given to demonstrate the accuracy and efficacy of the suggested technique.

In this paper, we present a new two-step iterative technique for solving absolute value equations. This technique is very straightforward, and due to the simplicity of this approach, it can be used to solve large systems with great effectiveness. Moreover, under certain assumptions, we examine the convergence of the proposed method using various theorems. Numerical outcomes are conducted to present the feasibility of the proposed technique.

This paper gives numerical experiments on how to solve a system of absolute value equations.

Nowadays, two-step approaches are very popular for solving equations (1). For solving AVEs, Liu in Shams (2021), Ning and Zhou (2015) demonstrated two-step iterative approaches. Moosaei et al. (2015) introduced a novel approach that utilizes a generalized Newton’s approach and Simpson’s rule to solve AVEs. Zainali and Lotfi (2018) presented a two-step Newton technique for AVEs that converges linearly. Feng and Liu (2016) have proposed minimization approaches for AVEs and presented their convergence under specific circumstances. Khan et al. (2023), suggested a nonlinear CSCS-like technique and a Picard-CSCS approach. Based on the benefits and drawbacks of the previously mentioned methods, we will provide a two-step iterative approach to efficiently solve equation (1). The numerical results show that our proposed technique converges rapidly and provides a more accurate solution.

This study presents a two-step numerical iteration method specifically designed to solve absolute value equations. The proposed method is valuable and efficient for solving absolute value equations. Several numerical examples were taken to demonstrate the accuracy and efficiency of the proposed method.

We present a two-step numerical iteration method for solving absolute value equations. Our two-step method consists of a predictor-corrector technique. The new method uses the generalized Newton method as the predictor step. The four-point open Newton-Cotes formula is considered the corrector step. The convergence of the proposed method is discussed in detail. This new method is highly effective for solving large systems due to its simplicity and effectiveness. We consider the beam equation, using the finite difference method to transform it into a system of absolute value equations, and then solve it using the proposed method.

The paper provides empirical insights into how to solve a system of absolute value equations.

This paper fulfills an identified need to study absolute value equations.