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Organizational citizenship behaviors under theory of servant leadership: A exploratory study in a sample of faculties of the University of Alqadisiya
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This study aimed to identify the role of servant leadership in promoting organizational citizenship behaviors in a sample of faculties of the University of Alqadisiya .It tried to answer several questions represented its problem.

 

 The most important questions are the followings:

1- Is there enough perception among administrative leaders in the aforementioned faculties toward the concept of servant leadership? And under what level?                                                 
2 - Is there enough perception among administrative leaders in those faculties toward organizational citizenship behavior? What is its level?
3 - Is there a relationship between servant leadership and organizational citizenship behaviors? What is the nature of this relationship?
4 - Is there a statistically significant effect of servant leadership in organizational citizenship behaviors?
  

The researchers adopted  the descriptive   approach to analyze views of a sample of (287) department heads and faculty members in six out of eleven faculties of the University. The researchers used the questionnaire to measure the study variables to measure the variables of the study .They also used a set of necessary statistical methods and  programs to test its hypotheses and then achieve its objectives, which showed a statistically significant correlation and  effect between servant leadership style and organizational citizenship behavior.                                                                   
       In light of the findings emerged from the study, the researchers have made a set of recommendations in the forefront of them is  the importance of servant leadership in promoting organizational citizenship behaviors to achieve objectives of educational institutions, and establish the concept of service and compassion among members of faculties  and to create a climate that encourages service and personal assistance, as well as developing  training programs for administrative leadership to ensure   the concept of service to them.

 

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Publication Date
Thu Nov 01 2018
Journal Name
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Gentamicin enhances toxA expression in Pseudomonas aeruginosa isolated form cow mastitis
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Sun Feb 03 2019
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Iraqi Journal Of Physics
Compressive strength measurement for cement replacement with recycled glass in concrete
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Sun Mar 03 2024
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Mesopotamian Journal Of Cybersecurity
Using Information Technology for Comprehensive Analysis and Prediction in Forensic Evidence
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With the escalation of cybercriminal activities, the demand for forensic investigations into these crimeshas grown significantly. However, the concept of systematic pre-preparation for potential forensicexaminations during the software design phase, known as forensic readiness, has only recently gainedattention. Against the backdrop of surging urban crime rates, this study aims to conduct a rigorous andprecise analysis and forecast of crime rates in Los Angeles, employing advanced Artificial Intelligence(AI) technologies. This research amalgamates diverse datasets encompassing crime history, varioussocio-economic indicators, and geographical locations to attain a comprehensive understanding of howcrimes manifest within the city. Lev

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Mon Mar 01 2021
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Archives Of Civil Engineeringthis Link Is Disabled
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Sun Apr 01 2018
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2018 9th International Conference On Information And Communication Systems (icics)
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Automatic speaker recognition may achieve remarkable performance in matched training and test conditions. Conversely, results drop significantly in incompatible noisy conditions. Furthermore, feature extraction significantly affects performance. Mel-frequency cepstral coefficients MFCCs are most commonly used in this field of study. The literature has reported that the conditions for training and testing are highly correlated. Taken together, these facts support strong recommendations for using MFCC features in similar environmental conditions (train/test) for speaker recognition. However, with noise and reverberation present, MFCC performance is not reliable. To address this, we propose a new feature 'entrocy' for accurate and robu

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Sat Dec 01 2018
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