تبیین موفقیت مدیریت تغییر در سازمان‌های دولتی با رویکرد فراترکیب و روش لگاریتمی وزن‌های جمعی فازی
محورهای موضوعی : آموزشی
1 - گروه مدیریت دولتی، دانشگاه پیام نور، تهران، ایران
کلید واژه: مدل‌های مدیریت تغییر, سازمان‌های دولتی, فراترکیب, روش لگاریتمی وزن‌های جمعی فازی,
چکیده مقاله :
در این پژوهش تلاش شد تا با شناسایی عوامل و زیرعامل‌های مؤثر بر موفقیت مدل‌های مدیریت تغییر، چارچوبی تحلیلی برای به‌کارگیری کارآمدتر این مدل‌ها در سازمان‌های دولتی ارائه شود. این پژوهش از نظر هدف کاربردی و با توجه به شیوه جمع آوری داده‌ها، از نوع تحقیقات اکتشافی است. از نظر ماهیت نیز، آمبخته (کیفی–کمی) است. در بخش کیفی، برای شناسایی عوامل و زیر عامل‌ها از روش فراترکیب و در بخش کمی جهت وزن‌دهی و رتبه‌بندی عوامل و زیرعامل‌ها، از روش لگاریتمی وزن‌های جمعی فازی استفاده شد. جامعه آماری در روش فراترکیب شامل مطالعات صورت گرفته در زمینه مدل‌های مدیریت تغییر در پایگاه‌های علمی قابل استناد است که از میان آنها 122 مطالعه به عنوان نمونه انتخاب شد. در بخش کمی تعداد 8 خبره از اساتید دانشگاه، مدیران و کارشناسان سازمان‌های دولتی استان فارس به عنوان نمونه انتخاب گردید و برای تحلیل داده‌ها، مراحل روش لگاریتمی وزن‌های جمعی فازی در مایکروسافت اکسل 2021 فرمول نویسی شد. نتایج حاصل از فرا ترکیب مطالعات منتخب، منجر به شناسایی 8 کد محوری (عامل) و 61 کد فرعی(زیرعامل) موثر بر موفقیت مدل‌های مدیریت تغییر شد. یافته‌های پژوهش نشان می‌دهد که فرآیند مدیریت تغییر مهمترین عامل در موفقیت مدل های مدیریت تغییر است و زیر عامل " مدیریت مقاومت در برابر تغییر" بیشترین اهمیت را در فرآیند مدیریت تغییر دارد. بر اساس نتایج این تحقیق، موفقیت مدل‌های مدیریت تغییر در سازمان‌های دولتی تنها به یک عامل منفرد بستگی ندارد بلکه به ترکیبی متوازن از فرآیند ساختارمند مدیریت تغییر، انطباق با اقتضائات دولتی، پشتیبانی علمی، سادگی و شفافیت، توجه به فرهنگ، یادگیری مستمر، انعطاف پذیری و بهره‌گیری هوشمندانه از فناوری وابسته است.
چکیده انگلیسی:
This study sought to identify the factors and subfactors affecting the success of change management models and to provide an analytical framework for the more efficient application of these models in governmental organizations. In terms of purpose, this study is applied, and with regard to the method of data collection, it is exploratory. In terms of nature, it is mixed-method (qualitative–quantitative). In the qualitative section, the meta-synthesis method was used to identify the factors and subfactors, while in the quantitative section, the Fuzzy Logarithm Methodology of Additive Weights (Fuzzy LMAW) was used to weight and rank the factors and subfactors. The statistical population in the meta-synthesis method comprised studies conducted on change management models in reputable scientific databases, from among which 122 studies were selected as the sample. In the quantitative section, 8 experts, including university professors, as the sample. In the quantitative section, 8 experts, including university professors, managers To analyze the data, the stages of the Fuzzy LMAW were formulated in Microsoft Excel 2021. The results obtained from the meta-synthesis of the selected studies led to the identification of 8 axial codes (factors) and 61 secondary codes (subfactors) affecting the success of change management models. The findings of the study indicate that the change management process is the most important factor in the success of change management models, and that the subfactor “managing resistance to change” has the greatest importance in the change management process. Based on the results of this study, the success of change management models in governmental organizations does not depend on a single factor; rather, it depends on a balanced combination of a structured change management process, adaptation to governmental contingencies, scientific support, simplicity and transparency, attention to culture, continuous learning, flexibility, and the intelligent use of technology.
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