Managerial skills differences of Iranian women entrepreneurs
سال انتشار: 1392
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 553
فایل این مقاله در 8 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:
ICPEEE01_2144
تاریخ نمایه سازی: 16 شهریور 1395
چکیده مقاله:
Business world have recently changed due to the increasing trend of women entrepreneurial activities around the globe. Consequently, studies with a major focus of women entrepreneurs have emerged in the field of management. Although there has been a growing research interest in managerial skills of female entrepreneurs in developed countries, there is still paucity of empirical works about the managerial skills (technical, human and conceptual skills) differences of entrepreneurs and the relation between educational level and work experience and their managerial skills, especially in developing countries. The aim of present study is to identify managerial skills differences of Iranian women entrepreneurs in agriculture, industry and service sectors and also investigate the relation between educational level and work experience and their managerial skills. Questionnaires were mailed to 200 Iranian women entrepreneurs working in agriculture, industry and service sectors. Eventually, the results indicate that there are significant differences among entrepreneur’s managerial skills in agriculture, industry and service sectors and in addition there is a significant relation between educational level and work experience and their managerial skills.
کلیدواژه ها:
نویسندگان
Abrisham Rashidzadeh Davan
Department of Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Morteza Musakhani
Department of Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Siavash Khalili Shavarini
Department of Management, Qazvin Branch, Islamic Azad University, Qazvin, 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 :