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California State University, San Bernardino
Journal of International Technology and Information Management
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Articles 121 - 132 of 132
Full-Text Articles in Business
Healthcare System-Use Behavior: A Systematic Review Of Its Determinants, Jiming Wu
Healthcare System-Use Behavior: A Systematic Review Of Its Determinants, Jiming Wu
Journal of International Technology and Information Management
To understand patient and physician behavior, researchers have investigated the determinants of using healthcare information systems. Although this stream of research has produced important findings, it has yet to appreciably advance our understanding of system-use behavior in healthcare. To fill this gap, the current paper employs a systematic review to synthesize past research, reveal the key determinants of healthcare system usage, and illuminate a deeper understanding of the topic. This study thus helps healthcare researchers expand their baseline knowledge of these core determinants and conduct more fruitful future research on system-use behavior in healthcare.
Evaluation Of Classification And Ensemble Algorithms For Bank Customer Marketing Response Prediction, Olatunji Apampa
Evaluation Of Classification And Ensemble Algorithms For Bank Customer Marketing Response Prediction, Olatunji Apampa
Journal of International Technology and Information Management
This article attempts to improve the performance of classification algorithms used in the bank customer marketing response prediction of an unnamed Portuguese bank using the Random Forest ensemble. A thorough exploratory data analysis (EDA) was conducted on the data in order to ascertain the presence of anomalies such as outliers and extreme values. The EDA revealed that the bank data had 45, 211 instances and 17 features, with 11.7% positive responses. This was in addition to the detection of outliers and extreme values. Classification algorithms used for modelling the bank dataset include; Logistic Regression, Decision Tree, Naïve Bayes and the …
The Perceived Business Benefit Of Cloud Computing: An Exploratory Study, Thomas Chen, Ta-Tao Chuang, Kazuo Nakatani
The Perceived Business Benefit Of Cloud Computing: An Exploratory Study, Thomas Chen, Ta-Tao Chuang, Kazuo Nakatani
Journal of International Technology and Information Management
The objective of the research is to study the benefits of cloud computing perceived by adopters and examine the impact of moderating factors on the relationship between the type of cloud computing and the perceived benefit. The moderating factors include firm size and value-chain activities. A measurement instrument of a 5-point Likert scale was administered on businesses of different sizes in Taiwan. The benefit of cloud computing measured in the study were: cost reduction, improved capability and enhanced scalability. The results show that the perceived benefit of cloud computing varies depending on the type of cloud computing, the value chain …
Table Of Contents
Journal of International Technology and Information Management
No abstract provided.
Table Of Contents
Journal of International Technology and Information Management
No abstract provided.
From The Desk Of The Editor
Journal of International Technology and Information Management
No abstract provided.
From The Desk Of The Editor
Journal of International Technology and Information Management
No abstract provided.
Table Of Contents
Journal of International Technology and Information Management
No abstract provided.
From The Desk Of The Editor
Journal of International Technology and Information Management
No abstract provided.
Table Of Contents
Journal of International Technology and Information Management
No abstract provided.
From The Desk Of The Editor
Journal of International Technology and Information Management
No abstract provided.
Data Mining The Harness Track And Predicting Outcomes, Robert P. Schumaker
Data Mining The Harness Track And Predicting Outcomes, Robert P. Schumaker
Journal of International Technology and Information Management
This paper presented the S&C Racing system that uses Support Vector Regression (SVR) to predict harness race finishes and analyzed it on fifteen months of data from Northfield Park. We found that our system outperforms the most common betting strategies of wagering on the favorites and the mathematical arbitrage Dr. Z system in five of the seven wager types tested. This work would suggest that an informational inequality exists within the harness racing market that is not apparent to domain experts.