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Full-Text Articles in Business
Machine Learning Stock Market Prediction Studies: Review And Research Directions, Troy J. Strader, John J. Rozycki, Thomas H. Root, Yu-Hsiang John Huang
Machine Learning Stock Market Prediction Studies: Review And Research Directions, Troy J. Strader, John J. Rozycki, Thomas H. Root, Yu-Hsiang John Huang
Journal of International Technology and Information Management
Stock market investment strategies are complex and rely on an evaluation of vast amounts of data. In recent years, machine learning techniques have increasingly been examined to assess whether they can improve market forecasting when compared with traditional approaches. The objective for this study is to identify directions for future machine learning stock market prediction research based upon a review of current literature. A systematic literature review methodology is used to identify relevant peer-reviewed journal articles from the past twenty years and categorize studies that have similar methods and contexts. Four categories emerge: artificial neural network studies, support vector machine …
To Close The Skills Gap, Technology And Higher-Order Thinking Skills Must Go Hand In Hand, Manying Qiu, Yaquan Xu, Emmanuel O. Omojokun
To Close The Skills Gap, Technology And Higher-Order Thinking Skills Must Go Hand In Hand, Manying Qiu, Yaquan Xu, Emmanuel O. Omojokun
Journal of International Technology and Information Management
Technology is rapidly changing the business landscape. Workforce skills gap is widening in the digital business environment. Universities and employers call for developing students’ higher-order thinking skills along with integrating technology into academic curricula. We conducted a survey to assess learning outcomes from two groups of undergraduate students: business majors and information technology (IT) majors. SAP ERP hands-on case studies were used for this comparative experiment. The student survey results showed that the students of both majors believed that learning SAP software can lead to more rewarding jobs and they felt confident about their competitiveness in the job market. Although …