بومی‌سازی مدل مدیریت سبز برای سازمانهای دولتی(مطالعه موردی شرکت ارتباطات زیرساخت)

نظر به حائز اهمیت بودن مدیریت سبز، طراحی و تدوین مدل مدیریت سبز از جمله اقداماتی است که جهت ساماندهی هر چه بهتر در این حوزه بسیار انجام شده است. مطالعه حاضر با عنوان بومی سازی مدل مدیریت سبز برای سازمانهای دولتی و با هدف مطالعه مدل های مدیریت سبز، شناسایی و استخراج مولفه های مدیریت سبز و انتخاب مولفه های بومی شده مدل های مدیریت سبز در یک مدل یکپارچه در شرکت ارتباطات زیرساخت انجام پذیرفت. روش تحقیق در این تحقیق برمبنای هدف پژوهش، به شکل کاربردی و بر اساس روش، همبستگی است. روش گردآوری اطلاعات روش میدانی است و داده هایی که لازم بود با استفاده از پرسشنامه استخراج می گردد. جامعه آماری شامل کلیه مدیران و کارشناسان شرکت ارتباطات زیر ساخت به تعداد 1590 نفر می باشد که تعداد نمونه به کمک روش کوکران 533 نفر در نظر گرفته شد. پرسشنامه اولیه برای 51 عامل شناسایی شده تدوین و توزیع گشت و بعد از  تجزیه و تحلیل به روش دلفی به 18 عامل تقلیل یافت. سپس به کمک عوامل استخراج شده پرسشنامه ثانویه با 63 سوال تدوین شد و به کمک روش تحلیل عاملی از صحت سوالات مطرح شده اطمینان حاصل گردید. در نهایت مدل نهایی به کمک تحلیل عاملی تاییدی و با استفاده از نرم افزار amos آزمایش شد. تمامی مولفه های شناسایی شده در آزمون آماری مورد تایید قرار گرفت.

localization of green management model (gmm) for government organizations (case study of telecommunication infrastructure company)

the research method in this study is applied based on the purpose of the research is practical type and based on correlation method. the statistical population includes all managers and experts of the telecommunication infrastructure company in the number of 1590 people which the number of samples was considered 310 people using cochran’s method. the first questionnaire was compilated and distributed for 51 identified factors and after delphi analysis it was decreased to 18 factors. then, a secondary questionnaire with 63 questions was compilated with the help of extracted factors and with the help of confirmatory factor analysis, the authenticity of the questions was confirmed. finally, the final model was tested using confirmatory factor analysis and amos software. all components identified in the statistical test were confirmed.introductionthe increase in the development of societies has led to the indiscriminate exploitation of natural resources, environmental degradation, various pollution, etc., which may be a threat to the sustainable development of those societies. therefore, it is necessary that the organizations as the largest members of the communities, recognize their behavioral effects on the environment and endeavor to reduce such negative influences on the natural ecosystems. accordingly, the “green organization” as a new term entered into the organizational management meaning an organization defining its missions, purposes and tasks based on the protection of the environment and its scarce and limited resources to be used optimally.  a green decision- is a decision made for the protection of the natural resources and improvement of the life quality. in iran, as the other countries, protecting the environment and moving towards sustainable development was started from the first economic, social and cultural development plan of the country and continued in the next plans. in iran, the green management model is not limited to the information and culture, and it includes the areas such as the management of the energy carriers, materials, paper and environmental protection this study is going to identify the factors affecting the green management localization of the government organizations.case studyin the first stage, the research model was made by distributing questionnaires using the delphi technique and enjoying the statistical community including university professors, consultants, experts and managers of various departments of the telecommunication infrastructure company having a scientific background related to green management. the second stage was to review, describe and evaluate the selected cases based on the concepts of the developed model and the statistical population including 1590 managers and experts of the telecommunication infrastructure company.