The research aims to determine the factors affecting the woman’s use of electronic marketing in social networking sites, and to know the extent of the sample’s use of social networking sites for electronic shopping purposes. The research tool used the questionnaire form that was designed in its final form after presenting it to the arbitrators and it included a set of questions and a five-Likert scale, and used the spss statistical program to perform the statistical operations that were laid out in tables showing the frequencies, percentages and percentages Salary, mean, standard deviation, and correlation using the Spearman correlation coefficient, the Ka2 square test, the F test, the Alpha Cronbach test, and arrived at Searching to a set of results, the most important of which is the existence of a large extent of electronic marketing from the internet sites, and that Facebook is one of the most used social networking sites in marketing, and the hypothesis test showed a significant correlation between marketing sites and the extent to which the sites meet the needs of women, and the results also showed that there are differences between the sample in Demographic data towards the use of women for e-marketing via social media, and there is also an indication of the degree of consistency in the sample averages towards the factors affecting the woman's use of e-marketing.
Abstract
The goal of this research is to know the quality of working life and its impact on the level of the organizational sense of alienation among a sample of teaching Anbar University in the center of Baghdad. Find and seek to achieve a number of cognitive and practical goals.
Where the quality of work life constitutes one of the main sources to enable organizations of excellence in light of the volatile environment, as is one of alienation regulatory organizations avoid the phenomena that occur because of their negative effects on performance and thus achieve their goals. The most research problem in question the existence of the main deficiencies in the application of the concepts of organiz
... Show Moreتناول هذا البحث الدور الحيوي الذي تؤديه المراكز البحثية في دعم القضايا الاجتماعية، مع التركيز على مركز دراسات المرأة في جامعة بغداد كنموذج تطبيقي. يوضح الباحث أن هذه المراكز لا تقتصر على إنتاج المعرفة النظرية، بل تسهم بشكل مباشر في معالجة التحديات المجتمعية، من خلال تقديم رؤى تحليلية ومقترحات عملية لصناع القرار. كما ويسلط الضوء على مساهمة مركز دراسات المرأة في تعزيز المشاركة السياسية للمرأة العراقية، خاصة
... Show MoreTraining has occupied a leading position in a large number of developed and developing countries alike in order to develop the skills of workers in line with the changes and developments of the era, including monitoring compliance in banks, which is one of the most important jobs in banking work to trailing and monitor the bank’s compliance with laws, regulations and instructions in order to achieve its goals Therefore, the problem of this research focuses on the following question: What is the role of training in enhancing banking compliance at the present time? In order to clarify the relationship between the main and sub-research variables, two main hypotheses and three sub-hypotheses were formulated for each hypothesis, and t
... Show MoreThe drones have become the focus of researchers’ attention because they enter into many details of life. The Tri-copter was chosen because it combines the advantages of the quadcopter in stability and manoeuvrability quickly. In this paper, the nonlinear Tri-copter model is entirely derived and applied three controllers; Proportional-Integral-Derivative (PID), Fractional Order PID (FOPID), and Nonlinear PID (NLPID). The tuning process for the controllers’ parameters had been tuned by using the Grey Wolf Optimization (GWO) algorithm. Then the results obtained had been compared. Where the improvement rate for the Tri-copter model of the nonlinear controller (NLPID) if compared with
The COVID-19 pandemic has profoundly affected the healthcare sector and the productivity of medical staff and doctors. This study employs machine learning to analyze the post-COVID-19 impact on the productivity of medical staff and doctors across various specialties. A cross-sectional study was conducted on 960 participants from different specialties between June 1, 2022, and April 5, 2023. The study collected demographic data, including age, gender, and socioeconomic status, as well as information on participants' sleeping habits and any COVID-19 complications they experienced. The findings indicate a significant decline in the productivity of medical staff and doctors, with an average reduction of 23% during the post-COVID-19 period. T
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The study aimed to explaining the concepts of water footprint and virtual water and how these two concepts could use to achieve water savings at the local level to meet the water supply deficit in Iraq, which is expected to increase in the coming years and influence of that on food security in Iraq by using these concepts when drawing production, irrigated and import plans in Iraq. The study aimed to studying the water footprint and virtual water and their impact on the foreign trade for wheat and rice crops during the period 2000-2022 and estimating the most important indicators of virtual water and the water footprint of the study crops due to the importance of these criteria in det
This research depends on the relationship between the reflected spectrum, the nature of each target, area and the percentage of its presence with other targets in the unity of the target area. The changes occur in Land cover have been detected for different years using satellite images based on the Modified Spectral Angle Mapper (MSAM) processing, where Landsat satellite images are utilized using two software programming (MATLAB 7.11 and ERDAS imagine 2014). The proposed supervised classification method (MSAM) using a MATLAB program with supervised classification method (Maximum likelihood Classifier) by ERDAS imagine have been used to get farthest precise results and detect environmental changes for periods. Despite using two classificatio
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