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Search Results: 1 - 10 of 798 matches for " Mohmad Yazam Sharif "
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An Empirical Study of the HR Professionals' Effectiveness in the Largest Privatized Bank of Pakistan
Aqeel Ahmad,Mohmad Yazam Sharif,Abdul Rashid Kausar
Terengganu International Management and Business Journal , 2012,
Abstract: This on going study examines the human resource (HR) professionals’ effectiveness through the lens of HR professionals’ competencies and HR professionals’ willingness at the large privatized bank in Pakistan. The Human Resource Competency Study (HRCS) model is used in this research. Impact of HR professionals’ social and technical competencies and HR professionals’ willingness on their effectiveness is examined. The analysis reveals that the HR professionals’ social competencies have a higher significant correlation with HR professionals’ effectiveness than the HR professionals’ technical competencies and their willingness. At the outset it is also concluded that the HR professionals of the bank are lacking the competencies and hence have a negative impact on their effectiveness in the banking sector of Pakistan.
A Comparative Study on the Effectiveness of Human Resource Professionals in Pakistan and Malaysia
Mohmad Yazam Sharif,Aqeel Ahmad,Abdul Rashid Kausar
IBIMA Business Review , 2011,
Abstract: The aim of this empirical paper was to show the comparison between the effectiveness of Human Resource (HR) professionals and the organizational factors (namely, leadership, organizational support and reward system), based on a study on the HR professionals in two private universities – A university(AU) in Pakistan and B university(BU) in Malaysia. Both are private universities which have multi disciplinary business, technology and education related programs. Both institutions own sophisticated systems (both humans and technology). Consequently, the human resource management (HRM) practices in AU and BU could be said to be quite advanced because of this. The approach employed in this study was to gather data on the human resource professionals from the perspectives of knowledge workers (the faculty members) in the two institutions. The data was collected through survey questionnaires which were distributed to 110 AU and 150 to BU knowledge workers. However, 73 questionnaires were returned from AU (response rate 70 %) while only 66 questionnaires were obtained from BU (44 % response rate). The study shows that there was a correlation between leadership and HR effectiveness in AU (0.58) and also in BU (0.699). The correlation between organizational support and HR effectiveness was low in AU (0.49) but strong in BU (0.673). The correlation between reward system and HR effectiveness was found to be fair for both AU (0.53) and BU (0.51). For AU, the weakest predictor was organizational support (0.49) while for BU, it was the reward system (0.51).
Mediating Role of Affective Commitment in HRM Practices and Turnover Intention Relationship: A Study in a Developing Context
Mohd H. R. Joarder,,Mohmad Yazam Sharif,,Kawsar Ahmmed
Business and Economics Research Journal , 2011,
Abstract: The present study was designed to examine the dimensions of HRM practices that may cause faculty turnover decision among the private university faculty members in Bangladesh. The role of affective commitment as the mediator in the proposed relationship was also investigated. A total of 317 faculty members of the private universities participated, completed and returned the questionnaire which represented 57% response rate of the study. Multiple regression analyses were used to test the hypotheses of the study. The results of the study revealed that out of six HRM practices used in this study three were found highly significant and negatively related to turnover intention. The study also found that affective commitment mediates the proposed relationship between HRM practices and turnover intention. Limitations and suggestions for future research are forwarded.
An Appraisal of Gender Mainstreaming in Census of India 2011  [PDF]
Mohmad Saleem Jahangir, Aneesa Shafi
Advances in Applied Sociology (AASoci) , 2013, DOI: 10.4236/aasoci.2013.35029
Abstract:

Population census is a total process of collecting, compiling, evaluating, analyzing and publishing demographic, economic and social data pertaining, at a specified time, to all persons in a country or in a well defined part of a country, drawing valid conclusions in situations of uncertainty and variability. Usually in the context of prevailing gender discrimination issues, the figures revealed by means of census also have divulged gender bias. Taking notice of this, efforts were made to make Census of India 2011 gender sensitive in order to reveal a gender sensitive and objective picture of Indian population. The present paper aims to understand and evaluate the whole activity of Census of India 2011 as a tool ensuring gender mainstreaming.

An Econometric Analysis for CO2 Emissions, Energy Consumption, Economic Growth, Foreign Trade and Urbanization of Japan  [PDF]
Sharif Hossain
Low Carbon Economy (LCE) , 2012, DOI: 10.4236/lce.2012.323013
Abstract: This paper examines the dynamic causal relationship between carbon dioxide emissions, energy consumption, economic growth, foreign trade and urbanization using time series data for the period of 1960-2009. Short-run unidirectional causalities are found from energy consumption and trade openness to carbon dioxide emissions, from trade openness to energy consumption, from carbon dioxide emissions to economic growth, and from economic growth to trade openness. The test results also support the evidence of existence of long-run relationship among the variables in the form of Equation (1) which also conform the results of bounds and Johansen conintegration tests. It is found that over time higher energy consumption in Japan gives rise to more carbon dioxide emissions as a result the environment will be polluted more. But in respect of economic growth, trade openness and urbanization the environmental quality is found to be normal good in the long-run.
Implied Bond and Derivative Prices Based on Non-Linear Stochastic Interest Rate Models  [PDF]
Ghulam Sorwar, Sharif Mozumder
Applied Mathematics (AM) , 2010, DOI: 10.4236/am.2010.11006
Abstract: In this paper we expand the Box Method of Sorwar et al. (2007) to value both default free bonds and interest rate contingent claims based on one factor non-linear interest rate models. Further we propose a one-factor non-linear interest rate model that incorporates features suggested by recent research. An example shows the extended Box Method works well in practice.
Viscous and Joules Dissipation on MHD Flow past a Stretching Porous Surface Embedded in a Porous Medium  [PDF]
Md. Sharif Uddin
Journal of Applied Mathematics and Physics (JAMP) , 2015, DOI: 10.4236/jamp.2015.312196
Abstract: This paper investigates the influence of both viscous and joules dissipation on the problem of magneto-hydrodynamic flow past a stretching porous surface embedded in a porous medium for rotating case. Using similarity approach the system of partial differential equations is transformed into ordinary differential equations which strongly depend on the magnetic parameter, stretching parameter, rotation parameter, permeability parameter and Prandtl number. The coupled differential equations are numerically simulated using the Nactsheim-Swigert shooting technique together with Runge-Kutta six order iteration schemes. The velocity and temperature profiles are discussed and presented graphically. The comparisons for dimensionless skin friction coefficient and local Nusselt number are also taken into account and discussed and presented graphically.
Investor Behavioral Finance: Examining Its Applicability on Egyptian Investors  [PDF]
Sharif M Abu Karsh
American Journal of Industrial and Business Management (AJIBM) , 2018, DOI: 10.4236/ajibm.2018.811143
Abstract: Behavioral finance is a novel approach in the financial markets domain. It originates due to an urgent need to overcome and deal with the outstanding issues that traditional investors face in today’s modern finance system. Thus, it is said that certain investors who do not have perfectly sensible elucidation regarding some financial situations and issues can recognize these issues better by means of certain financial models. Likewise, in a number of behavioral finance models, investors are known to be unable to bring an up-to-date of their beliefs in the correct manner. However, other models show that
Prosthodontist contribution in treating post-burn hypertrophic facial scars
Padmanabhan T,Mohmad Kasim,Gupta Rajiv
Indian Journal of Dental Research , 2010,
Abstract: The formation of hypertrophic scars is common following healing of the burn wound, particularly in children. The face is one of the areas of the body most frequently affected by burns. Scar formation as a result of burn wounds leads to contraction of the formed granulation tissue, which causes both aesthetic and functional impairment for the patient. Scarring has major psychological and physical repercussions. Scarring on the face and visible regions of the body can be very distressing for the patient. Prevention of scars involves early and continuous use of a compressive orthesis. However, their efficacy is often limited to the facial region because of the contours of this area of body. This paper describes a clinical case of post-burn hypertrophic scars treated with silicone gel sheeting applied with pressure under custom made auto-polymerizing resin stent.
Training a Functional Link Neural Network Using an Artificial Bee Colony for Solving a Classification Problems
Yana Mazwin Mohmad Hassim,Rozaida Ghazali
Computer Science , 2012,
Abstract: Artificial Neural Networks have emerged as an important tool for classification and have been widely used to classify a non-linear separable pattern. The most popular artificial neural networks model is a Multilayer Perceptron (MLP) as it is able to perform classification task with significant success. However due to the complexity of MLP structure and also problems such as local minima trapping, over fitting and weight interference have made neural network training difficult. Thus, the easy way to avoid these problems is to remove the hidden layers. This paper presents the ability of Functional Link Neural Network (FLNN) to overcome the complexity structure of MLP by using single layer architecture and propose an Artificial Bee Colony (ABC) optimization for training the FLNN. The proposed technique is expected to provide better learning scheme for a classifier in order to get more accurate classification result
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