Provide a Financial Literacy Model in the Iranian Capital Market
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 146
فایل این مقاله در 12 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:
JR_IJFMA-8-28_009
تاریخ نمایه سازی: 20 شهریور 1401
چکیده مقاله:
Financial literacy is the ability to use knowledge and skills to manage monetary decisions correctly and effectively. Given the growing importance of financial literacy and its tremendous impact on the financial well-being of individuals and households, unfortunately this issue has not been seriously considered in our country, and it seems that providing a suitable model to measure financial literacy in the country is a good starting point to do research in this field.The purpose of this study is to present the concept of financial literacy and provide appropriate and comprehensive model using the Iranian financial experts’ opinion in a qualitative manner upon a grounded theory approach. The required data were collected using theoretical saturation criteria and semi-structured interview technique by snowball sampling method through interviews with ۲۰ experts and professors of accounting and finance. The research data were analyzed by open coding method which is specific to the contextual approach, and conceptual, main and macro categories were extracted and finally the conceptual model of financial literacy including causal (۴ categories), contextual (۴ categories), intervening (۳ categories), strategic (۳ categories) and consequential (۳ categories) factors were presented.
کلیدواژه ها:
نویسندگان
zahra moeinfar
Ph.D. student, Department of accounting, Bushehr Branch, Islamic Azad University, Bushehr, Iran.
mostafa ghasemi
Assistant professor, Department of accounting, Bushehr Branch, Islamic Azad University, Bushehr, Iran.
abdolreza mohseni
Assistant professor, Department of accounting, Bushehr Branch, Islamic Azad University, Bushehr, 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 :