The effect of recruitment strategy on the of personnel's performance in public organizations in Astara city
سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 518
فایل این مقاله در 11 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICOAC01_154
تاریخ نمایه سازی: 9 مرداد 1395
چکیده مقاله:
The purpose of this study is to investigate the impacts of recruitment strategy on the performance of personnel in public organizations in Astara city. Method of the research isdescriptive and it is of survey research type. The sample includes personnel of 25 governmental organizations in Astara which were 700 persons in 2015 and out of which 248were selected as a sample group by stratified random sampling method .The means ofcollecting data were the ACHIEVE standard questionnaire for performance of the personnel with 28 questions and the standard questionnaire for recruitment strategy by Moghimi et alwith 20 questions. In order to validate the content, experts' opinion was used; and the result confirmed the validity of the questionnaire. In order to confirm the stability, Cronbach's alphacoefficient was used and stability was reached with 0.96 and 0.95 for variable components ofrecruitment strategy and personnel's performance respectively. Descriptive and inferential statistics was used to analyze the data. Since the correlation coefficient was positive, findingsof the research demonstrated that recruitment strategy and its components have positive and meaningful relation with the personnel's performance.
کلیدواژه ها:
نویسندگان
Mousa Rezvani Chamanzamin
Assistant professor in Department of management, Astara Branch, Islamic Azad University, Astara, Iran
Seyedeh Fattaneh Moghimi
Department of management, Astara Branch, Islamic Azad University, Rasht, Iran
Fatemeh Johari
Master of Human Resources Management of Department of management, Astara Branch, Islamic Azad University, Astara, Iran.
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :