Factors affecting worker productivity in the General Company for Cotton Yarn in Lattakia

The research aims to identify the factors affecting worker productivity in the General Company for Cotton Yarn in Latakia, arranged according to their relative importance. Reached the following results: - outcome of the study were factors in the following order: labor rights, the system of incentives, rewards, rehabilitation and training, the physical work environment, work stress, workload, promotions, labor relations. As the first component of a bulk of the variations in form before recycling and beyond, so it should focus on the components involved in this component, and take priority when studying factors affecting worker productivity, and these factors are: labor rights, the system of incentives, rewards. - The presence of significant positive relationship between spirits (labor rights, bonuses, rehabilitation and training, the physical work environment, promotions, labor relations) and worker productivity in the company studied. 3- The presence of significant inverse relationship between spirits (work stress, workload) and worker productivity in the company studied.

Applying Factor Analysis for Studying the Most Important Factors Economic Affecting the number of employees within period 2000 till 2009 in Syria

The objective of this research is applying Factor Analysis for Studying the most important economic factors affecting the number of employees within period 2000 till 2009 in Syria, to propose a methodological framework for constructing the integrated factor analysis model system (FAMS) that can be used as a decision support tool in employment year examination and supervision process for detection of years, which are experiencing serious problems. Sample and variable set of the study contains 17 economic variables. Study years (10 years during the period 2000–2009) and their economic variables. Well known multivariate statistical technique (principal component analysis), was used to explore the basic economic characteristics of the theses years, and discriminant models were estimated based on these characteristics to construct FAMS. The importance of factor analysis model system in employment year examination was evaluated with respect to defining the non-employment years for deciding the most important employment policy for reducing unemployment rates in future. Results of the study show that, if FAMS was effectively employed within studied years, It is possible in this case to identify weaknesses, according to the years that have the number of employees is less than the overall average calculated over the period.

Productive Performance of The laboratory Evaluation of (Ammonia, Yrea) Using Multivariate Analysis: An Empirical Study During The Period 2001-2010

The research aims to productive performance of the laboratory evaluation of (ammonia, urea) of the General Fertilizers Company during the period 2001-2010 using multivariate analysis (factor analysis). Researcher inductive approach adopted in the study of the basic variables affecting the productive performance, which allows the use of data from the reality of the actual production, and strengthening the means of observation and viewing during the production process so as to detect and reasoning on the efficiency and effectiveness of the productive performance through causal relationships between the various factors to arrive at check results research goals.

Studying the impact of social factors on household spending classification in Syria during (2000-2010)

This study aimed at using Multi-Variables Analysis in classifying household spending in Syria and identifying which of the social factors considered in the study influence significantly this classification and which do not. The most prominent results were: the possibility of classifying household spending into three levels (high, medium and low), there is a statistical significance of the factors (the percentage of urban population to total population, university education and above, number of married people and those in marriage age ) on the household spending classification. There is no statistical significance of the factors (educational levels below university education, non-married people, divorced or being widowed) on the household spending classification.