期刊名称：Journal of International Technology and Information Management
印刷版ISSN：1941-6679
出版年度：2016
卷号：25
期号：3
页码：1-26
出版社：California State University, San Bernardino
摘要：This research studies attitude and readiness of STEM majoring and success with the data from a survey with a total of 501 viable responses, with respect to STEM (science, technology, engineering, and mathematics) related majors that are essential and fundamental to skills relevant to big data business analytics. Recruiting and keeping students in STEM areas have attracted a large body of attention in pedagogical studies. An effective way of achieving such a goal is to show them how rewarding and self-fulfilling STEM careers can be toward perspective students. One example of the abundance of STEM careers is the rapid growth of business analytics positions in the job market, which is a major motivation of this study. Business analytics makes extensive use of data, including data mining, statistical analysis, quantitative modeling, and explanatory and predictive analytics, in order to help make actionable decisions and to improve business operations. We found that there is a statistically significant correlation between STEM interests and success factors of majoring in STEM, which is a natural step forward to filling in the talent gap business analytics. Practical implications are also discussed.
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