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In this study, the researchers explored the predictive powers of corporate cultural factors and self-efficacy on Pakistan's public sector bank employees' organizational commitment.

The researchers designed a co-relational study based on cross-sectional data using a questionnaire to collect the data from the Pakistan public sector banks' managers, assistant managers and operational managers. Consequently, the researchers based this study's findings on the 270 valid responses to the questionnaire.

This study's findings reveal that, except for teamwork, together with self-efficacy, the corporate cultural factors comprising organizational communication, training and development and reward and recognition have positive and significant impacts on organizational commitment. More specifically, self-efficacy plays a mediating role in terms of the relationships between organizational commitment and organizational communication, training and development and reward and recognition.

From establishing the most relevant corporate cultural factors, the researchers consider that this study's findings are helpful to policymakers and organizations in developing organizational commitment among employees. More practically in the case of Pakistan's public sector banks, the employees can improve employees' performance by recognizing the significance of the corporate cultural factors on employees' organizational commitment. In addition, the researchers consider that this study's findings can improve managerial efficiency which, in turn, can lead to the organizations becoming more successful.

In the context of Pakistan's public sector banks, this study's findings provide empirical insights to the relationships between the corporate cultural factors and organizational commitment. In addition, the findings provide insights to the role played by self-efficacy in mediating these relationships.

Organizational politics has been a topic of conceptual and empirical interest for researchers and practitioners for many years. The purpose of this paper is to examine the relationship between organizational politics and employee work outcomes in educational institutions. In addition, this paper also aims to assess the moderating role of social capital.

Employee perceptions about organizational politics and its impact on their work outcomes have been assessed empirically with a sample of 270 full-time employees in higher education institutions of Pakistan. The data have been collected from faculty members of five universities of Pakistan using survey method. SPSS and AMOS have been used to analyze the data and SEM has been used to test the hypotheses.

The results indicate a moderating effect of social capital on the relationship between perceived organizational politics and employee outcomes, and the most significant employee outcomes are job stress, job satisfaction and turnover intentions. The findings of the study support the view that organizational politics has negative association with employee job stress and turnover intentions.

Higher education sector in Pakistan is facing certain challenges, which affect talent retention. The findings of this study will help the administration of higher education institutions to develop effective strategies to cope with the challenges of organizational politics, such as motivation, satisfaction and retention of their employees.

The study adds to the literature on organizational politics by highlighting and validating its adverse effects on employee work outcomes in the context of Pakistani higher education.

The successful performance of organizations depends on the smooth working relations between their leaders and employees. Considering the importance of the behaviors of leaders/supervisors, this study intends to explore the bright side of abusive supervision on the performance of trainees in different police colleges in Pakistan.

The data for this study were collected from police colleges and supervisors in Pakistan, and the sample comprised police trainees and their instructors (N = 254 responses from 50 instructors and 254 police trainees). The data were analyzed using structural equation modeling via Amos to test the hypothesized relationships.

Results reveal a positive connection between abusive supervision and the performance of trainees. Moreover, the moderating role of passion for a cause in the relationship between abusive supervision and trainee performance is supported.

Despite its relevance, this study has certain limitations. First, this study was conducted in a specific occupational and cultural context. A comprehensive understanding of the diverse occupational and cultural context considerations can increase this study's value. Second, this study used cross-sectional data for analysis, which hindered us from making causal inferences. For a clear and improved understanding, longitudinal studies can help facilitate the process.

This study intends to explore the bright side of abusive supervision on the performance of trainees in different police colleges in Pakistan. The literature demonstrated the “dark side” of abusive supervision on work-related attitudes and behaviors. However, few studies investigated or explored the “bright side” of abusive supervision.

This study aims to estimate the amount of money laundering (ML) with multiple proxy approaches and measure the effects of ML on various indicators of the economic and financial sectors. Theoretical justifications are recruited from the parasite theory of organised crime.

A quantitative research methodology was used on a balanced panel data set to test the study’s hypothesis through generalised method of moment (GMM). The study sample consisted of 77 countries, and the data was collected for 15 years (2005–2019).

A study has found that 1.23% of global gross domestic product is laundered yearly, and there is no noticeable decline in ML activities. Further study has also found that ML has devastating effects on countries, government revenue, foreign investment, economic development, political and peace conditions, bank liquidity, interest rate volatility and exchange rate volatility. The study has not witnessed the negative consequence of ML on countries’ inflation rates.

Estimates of the study guide policymakers about the volume of resources fleeing and helps them to decide the level of response needed. Further findings help them prioritise the response system according to the area most affected.

This study is an original contribution by the authors and has studied the effects of ML by computing the amount of ML by four different proxies.

The purpose of this paper is to conduct a detailed investigation of the two-dimensional natural convection flow of a dusty fluid. Therefore, the incompressible boundary layer flow of a two-phase particulate suspension is investigated numerically over a semi-infinite vertical flat plate. Comprehensive flow formations of the gas and particle phases are given in the boundary layer region. Primitive variable formulation is employed to convert the nondimensional governing equations into the non-conserved form. Three important two-phase mechanisms are discussed, namely, water-metal mixture, oil-metal mixture and air-metal mixture.

The full coupled nonlinear system of equations is solved using implicit two point finite difference method along the whole length of the plate.

The authors have presented numerical solution of the dusty boundary layer problem. Solutions obtained are depicted through the characteristic quantities, such as, wall shear stress coefficient, wall heat transfer coefficient, velocity distribution and temperature distribution for both phases. Results are interpreted for wide range of Prandtl number Pr (0.005-1,000.0). It is observed that thin boundary layer structures can be formed when mass concentration parameter or Prandtl number (e.g. oil-metal particle mixture) are high.

The results of the study may be of some interest to the researchers of the field of chemical engineers.

The purpose of this paper is to investigate the effect of motivation to share, interpersonal trust, job involvement, job satisfaction and continuance commitment on knowledge sharing behavior of academics in higher education institutes.

Data were conveniently collected through a self-administered questionnaire from 369 academics working in six public sector universities of Pakistan. Correlation and incremental regression analyses were run to draw the results.

Results reveal that 24 percent of the variation in KSB is due to the changes in all the independent variables – intrinsic motivation, extrinsic motivation, interpersonal trust, job involvement, job satisfaction and continuance commitment. The study also identifies job involvement and continuance commitment as strong determinants of knowledge sharing behavior among academics.

To facilitate knowledge sharing behavior among academics, management of the universities must provide the ways for improving the levels of job involvement, continuance commitment and job satisfaction.

This is the first study that investigated the combined effect of intrinsic motivation, extrinsic motivation to share, interpersonal trust, job involvement, job satisfaction and continuance commitment on knowledge sharing behavior of teachers in public sector universities in Pakistan.

The purpose of this paper is to investigate the driving forces (economics and socio-demographic) that influence family Takaful demand in the Middle East and North Africa (MENA) region, using a sample of 15 countries from the MENA.

The authors use multivariate analysis, bootstrapping and generalised method of moments techniques. They first examine a full model that combines all variables; second, a model that controls for product market factors; and finally, a model that controls for socio-demographic factors. They further separate all models into linear and log-linear demand functions.

The authors demonstrate that the relationship between the demand for family Takaful in MENA and Islamic banking deposits, education, dependency rate, female life expectancy and Muslim population is significantly positive. On the other hand, the significant factors that are inversely related to the demand for family Takaful in MENA are inflation, financial development and male life expectancy.

The crucial limitation of this study is the amount of data available in regards to the dependent variable, family Takaful contributions. Consequently, to improve the understanding in explaining the family Takaful demand in MENA, further research can take advantage of expanding the variables that were omitted in this research as a consequence of the unavailability of data. Some of the possible influential variables can include government social security expenditure, legal system and government policies, price of Takaful and level of competition within the Takaful and insurance industry.

It is obvious that there are very few studies that focus on the MENA market, and indeed, none of them gives attention to the factors that influence demand for family Takaful. While this study is expected to provide more understanding and awareness on the concept of Takaful and the factors that influence its demand, the authors hope that it would encourage more studies on various issues on the Takaful industry so as to help researchers to understand more aspects of this new emerging business.

Wireless Body Area Network (WBAN) technology envisions a network in which sensors continuously operate on and obtained critical physical and physiological readings. Sensors deployed in WBANs have restricted resources such as battery energy, computing power and bandwidth. We can utilize these resources efficiently. By devising a mechanism that is energy efficient with following characteristics, i.e. computational complexity is less, routing overhead is minimized, and throughput will be maximum. A lot of work has been done in this area but still WBAN faces some challenges like mobility, network lifetime, transmission range, heterogeneous environment, and limited resources. In the present years well, contemplative studies have been made through a large body to reach some holistic points pertaining to the energy consumption in WBAN. Thus we/put forward appropriate algorithm for energy efficiency which can vividly corroborate the advances in this specific domain. We have also focused on various aspects and phases of the studies like study computational complexity, routing overhead and throughput type of characteristics. There is still a room for improvement to get the desired energy optimization in WBAN. The network performance mainly relies upon the algorithm used for optimization process. In this work, we intended to develop an energy optimization algorithm for energy consumption in WBAN which is based on evolutionary algorithms for inter-BAN communications using cluster-based routing protocol.

In this paper we propose a meta heuristics algorithm Goa to solve the optimization problem in WBAN. Grasshopper is an insect. Generally, this insect is viewed individually and creating large swarm in nature. Figure 5 shows the individual grasshoppers' primitive patterns in swarm. Figure 7 depicts the pseudo code of Goa. In Goa, experiments are done to view the behavior of grasshoppers in swarm. How they gradually move towards the stationary and mobile target. Through experimentation it is conceived that swarm gradually converge towards their target. Another interesting pattern related to convergence of grasshopper is that it slowly towards its target. This shows that grasshopper does not trapped in local optima. In starting iterations of exploration process Goa, search globally and in last iterations it searches local optima. Goa makes the exploration and exploitation process balanced while solving challenging optimization problems.

Energy efficiency is achieved in the optimization process of cluster formation process. As the use of proposed algorithm Goa creates the optimal number of clusters. Shorter cluster lifetime means more times clustering procedure is called. It increases the network computational cost and the communication overhead. Experimentation results show that proposed Goa algorithm performs well. We compare the results of Goa with existing optimization Algorithms ACO and MFO. Results are generated using MATLAB.

A lot of work has done for the sake of energy optimization in WBAN. Many algorithms are proposed in past for energy optimization of WBAN. All of them have some strengths and weaknesses. In this paper we propose a nature inspired algorithm Goa. We use the Goa algorithm for the sake of energy optimization in WBAN.