دانلود مقاله انگلیسی رایگان:تأثیر گرایش کارآفرینی بر عملکرد پروژه: یک رویکرد یادگیری ماشین - 2020
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  • The impact of entrepreneurship orientation on project performance: A machine learning approach The impact of entrepreneurship orientation on project performance: A machine learning approach
    The impact of entrepreneurship orientation on project performance: A machine learning approach

    سال انتشار:

    2020


    عنوان انگلیسی مقاله:

    The impact of entrepreneurship orientation on project performance: A machine learning approach


    ترجمه فارسی عنوان مقاله:

    تأثیر گرایش کارآفرینی بر عملکرد پروژه: یک رویکرد یادگیری ماشین


    منبع:

    Sciencedirect - Elsevier - International Journal of Production Economics, 226 (2020) 107621: doi:10:1016/j:ijpe:2020:107621


    نویسنده:

    Sima Sabahi


    چکیده انگلیسی:

    Recent studies in project management have shown the important role of entrepreneurship orientation of the individuals in project performance. Although identifying the role of entrepreneurship orientation as a critical success factor in project performance has been considered as an important issue, it is also important to develop a measurement system for predicting performance based on the degree of an individual’s entrepreneurial orientation. In this study, we use predictive analytics by proposing a machine learning approach to predict individuals’ project performance based on measures of several aspects of entrepreneurial orientation and entrepreneurial attitude of the individuals. We investigated this relationship using a sample of 185 observations and a range of machine learning algorithms including lasso, ridge, support vector machines, neural networks, and random forest. Our results showed that the best method for predicting project performance is lasso. After identifying the best predictive model, we then used the Bayesian Information Criterion and the Akaike Infor mation Criterion to identify the most significant factors. Our results identify all three aspects of entrepreneurial attitude (social self-efficacy, appearance self-efficacy, and comparativeness) and one aspect of entrepreneurial orientation (proactiveness) as the most important factors. This study contributes to the relationship between entrepreneurship skills and project performance and provides insights into the application of emerging tools in data science and machine learning in operations management and project management research.
    Keywords: Project performance | Entrepreneurship orientation | Machine learning | Supervised learning | Predictive analytics


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 14
    حجم فایل: 739 کیلوبایت

    قیمت: رایگان


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