Current Management indices in Iran, and feasibility of improving economic management in 2025 horizon
محل انتشار: همایش بین المللی مدیریت نوین در افق 1404
سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 592
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
ICMMV01_260
تاریخ نمایه سازی: 5 بهمن 1395
چکیده مقاله:
In this paper we use some institutional and structural indices as proxy for the degree of Management Quality, DMQ for Iran. DMQ can indicate the place and position of current management, to upgrade it toward Optimum management in Iran and other economics. Institutional and structural indices were added to economic and management literature in late1980s and early 1990s. Achieving to these indices in continuation of 21st century has been construing as main remedies for tackling difficulties of developing and less developed countries. Institutional proxies for testing DMQ in this article include corruption control, accountability, rule of law, quality of law, government effectiveness, and political stability. A key purpose of Iranian outlook document, 2025, IOD 2025, at one hand, is mounting to the first economic and scientific rank in the region by 2025. Improving economic management is one obvious requirement in this regard at the other. Thus, by using analytic and statistical methods, this paper is responsible to determine the quality of current management indices in Iran, and how to improve them to achieve optimum level by 2025 horizon. Period of study in this work is 1974-2016 and 24 south west Asian countries are Iranian competitors in this connection. One finding of this research is weak situation of current DMQ as compared to its mentioned competitors in Iran. Eventually this paper is investigating the feasibility to promote the value of current indices in Iran to achieve the value compatible to optimum management ones.
کلیدواژه ها:
نویسندگان
Yadollah Dadgar
Professor of economics, Beheshti University, Iran
Rouhollah Nazari
PhD candidate, Ferdowsi University, 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 :