Open Access. Powered by Scholars. Published by Universities.®
Science and Technology Studies Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Institution
- Keyword
-
- ToC (10)
- Table (5)
- Contents (4)
- Editor (4)
- Social media (4)
-
- Tanzania (4)
- Technology (4)
- Data mining (3)
- Information (3)
- International (3)
- Internet (3)
- Privacy (3)
- TAM (3)
- AI (2)
- ARIMA (2)
- Adoption (2)
- Consumer (2)
- Covid-19 (2)
- Cybersecurity (2)
- Digital Transformation (2)
- History of technology (2)
- Innovation (2)
- Journal (2)
- Management (2)
- SaaS (2)
- Social Media (2)
- Trust (2)
- Academic Libraries (1)
- Acceptance (1)
- Adaptive learning systems (1)
- Publication Year
Articles 121 - 134 of 134
Full-Text Articles in Science and Technology Studies
Trends In Commercial-Off-The-Shelf Vs. Proprietary Applications, Vijay K. Agrawal, Vipin K. Agrawal, A. Ross Taylor
Trends In Commercial-Off-The-Shelf Vs. Proprietary Applications, Vijay K. Agrawal, Vipin K. Agrawal, A. Ross Taylor
Journal of International Technology and Information Management
This study examines factors valued by IS managers in deciding if COTS software is a viable alternative to proprietary software. The results indicate managers who anticipate increased usage of COTS packages in 5 years used the same top three factors in the formation of their decisions to adopt COTS as their colleagues who anticipated either zero change in COTS usage or an increased usage of proprietary software used in deciding not to adopt COTS software. Managers anticipating increased COTS usage had a statistically significant higher value for each of those items compared to managers not anticipating growth in COTS software.
Online Trust Cues: Perceptions And Application, Antonina A. Bauman
Online Trust Cues: Perceptions And Application, Antonina A. Bauman
Journal of International Technology and Information Management
This qualitative study analyzes perceptions of online trust cues as identified by shoppers from three countries: Germany, Russia, and the USA. A novel approach of the repertory grid method is used to study online trust cues in business-to-consumers commercial online transactions. This study resulted in the list of web site elements and features that consumers recognize as trust cues and use to evaluate e-vendor’s trustworthiness. Findings show that out of fourteen categories of online trust cues, identified by online shoppers, three categories of online trust cues are found to be common across three cultures while eleven categories are culture specific. …
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 …
Table Of Contents
Journal of International Technology and Information Management
Table of Contents for Volume 25 Number 4
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.
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.
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.