کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
383901 660836 2013 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Bayesian network analysis for the dynamic prediction of early stage entrepreneurial activity index
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Bayesian network analysis for the dynamic prediction of early stage entrepreneurial activity index
چکیده انگلیسی

Entrepreneurship plays a critical role for the development and well-being of society. Illustration of its dynamic relationship with entrepreneurial attitudes and aspirations can provide a guideline for the cause of such activities. However, a time-lagged causal relationship among these concepts has not yet been established. In this study, we examine a dynamic relationship among early stage entrepreneurial attitudes, activities, and aspirations using Bayesian network (BN) analysis. In addition, we propose an early stage entrepreneurial activity index that can predict the percentage of both nascent entrepreneur and new business owner using the variables related to entrepreneurial attitudes of the previous year. This index, in turn, can be used to predict various aspects of entrepreneurial aspiration of the following year. The proposed index turns out to have very high prediction accuracy and is expected to provide effective policies to boost future entrepreneurial activity and aspiration.


► A dynamic relationship among entrepreneurial attitudes, activities, and aspirations is identified.
► Bayesian network analysis is used to predict the early stage entrepreneurial activity index.
► The proposed index turns out to have very high prediction accuracy.
► This index can be used to predict various aspects of entrepreneurial aspiration.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 40, Issue 10, August 2013, Pages 4003–4009
نویسندگان
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