مدل ساختاری تاثیر پیشایندهای نگرش های سازمانی بر نیت ترک خدمت کارکنان
محورهای موضوعی : مدیریت
1 - دانشجوی دکتری مدیریت آموزشی، واحد اصفهان(خوراسگان)، دانشگاه آزاد اسلامی، اصفهان، ایران
2 - استاد گروه علوم تربیتی و روانشناسی، واحد اصفهان(خوراسگان)، دانشگاه آزاد اسلامی، اصفهان، ایران
کلید واژه: خودکارآمدی, رضایت شغلی, فرسودگی شغلی, انزوای شغلی, نیت ترک خدمت,
چکیده مقاله :
یکی از نگرانی‌های سازمانی در عرصه منابع سازمانی ترک خدمت کارکنان کلیدی شهرداری با توجه به ظرفیت دانشی آنها است. پژوهش فعلی با هدف تعیین مدل ساختاری تاثیر پیشایندهای نگرش سازمانی بر نیت ترک خدمت کارکنان اجرا شد. ابزار جمع‌آوری داده‌ها پرسشنامه رضایت شغلی، انزوای شغلی، فرسودگی شغلی، رضایت شغلی، خودکارآمدی و نیت ترک خدمت بود. جامعه آماری کارکنان شهرداری اصفهان بودند که از بین آن ها 376 نفر به شیوه در دسترس انتخاب شدند. داده‌ها از طریق ضریب همبستگی پیرسون و مدلسازی معادلات ساختاری پس از بررسی پیش‌فرض‌های نرمالیتی داده ها و خطی بودن رابطه متغیرها از طریق بسته نرم‌افزار آماری در علوم اجتماعی و تحلیل ساختارهای گشتاوری (ایموس) تجزیه و تحلیل شدند. یافته‌ها نشان داد بین انزوای شغلی با خودکارآمدی، بین رضایت شغلی و فرسودگی، خودکارآمدی با رضایت شغلی و فرسودگی شغلی، و رضایت شغلی با فرسودگی و نیت ترک خدمت ، و فرسودگی شغلی با نیت ترک خدمت در سطح اطمینان رابطه معنی دار وجود دارد (01/0p<). نقش میانجی متغیرهای خودکارآمدی، فرسودگی و رضایت شغلی در رابطه انزوای شغلی و نیت ترک خدمت و رابطه خودکارآمدی و نیت ترک خدمت مورد تایید قرار گرفتند(01/0p<). نتایج مدلسازی معادله ساختاری نشان داد که انزوای شغلی با نیت ترک خدمت توسط خودکارآمدی شغلی میانجی‌گری می‌شود و خودکارآمدی و رضایت شغلی به طور منفی بر ترک خدمت تاثیر دارند(01/0p<). شاخص کای اسکوئر نسبی برابر با 14/3، شاخص تطبیقی توکر لویس برابر با 907/0 و ریشه دوم میانگین مربعات برابر با 066/0 نشان دادند مدل پژوهش از برازش مناسب برخوردار است.
One of the organizational concerns in the field of organizational resources is leaving the service of key municipal employees due to their knowledge and experience. The current research was carried out with the aim of determining the structural model of the effect of the antecedents of organizational attitude on the intention to leave the service of employees. The data collection tool was a questionnaire with subscales of job satisfaction, job isolation, job burnout, job satisfaction, self-efficacy, and intention to leave. The data obtained from the implementation of the research was analyzed through Pearson's correlation coefficient and structural equation modeling after checking the assumptions of normality of the data and the linearity of the relationship between the variables through the statistical software package in social sciences (SPSS) version 24 and Analysis of Moment Structures (AMOS) version 23. The statistical population was the employees of Isfahan municipality, from which 376 people were selected in an accessible manner and responded to the scales of job satisfaction, job isolation, job burnout, intention to leave, and self-efficacy. The results showed that there is a significant relationship between job isolation and self-efficacy, job satisfaction and burnout, as well as the relationship between self-efficacy and job satisfaction and job burnout, and the relationship between job satisfaction and burnout and the intention to leave, and the relationship between job burnout and the intention to leave at the confidence level( p < 0.01); however, the relationship between job isolation and self-efficacy was not directly confirmed with the intention to leave the service. The mediating role of self-efficacy, burnout, and job satisfaction variables in the relationship between job isolation and intention to leave service and the relationship between self-efficacy and intention to leave service was confirmed (p<0.01). The results of structural equation modeling showed that job isolation with the intention to leave the service is mediated by job self-efficacy. Finally, self-efficacy and job satisfaction have a negative effect on leaving the service (p<0.01). The relative chi-square index equal to 3.14, the Tucker-Lewis comparative index equal to 0.907, and the square root of the mean square equal to 0.066 showed that the research model has a good fit.
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