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Articles 121 - 132 of 132

Full-Text Articles in Business Intelligence

Conceptual Models On The Effectiveness Of E-Marketing Strategies In Engaging Consumers, Cheristena Bolos, Efosa C. Idemudia, Phoebe Mai, Mahesh Rasinghani, Shelley Smith Jan 2016

Conceptual Models On The Effectiveness Of E-Marketing Strategies In Engaging Consumers, Cheristena Bolos, Efosa C. Idemudia, Phoebe Mai, Mahesh Rasinghani, Shelley Smith

Journal of International Technology and Information Management

Effective marketing has always been an important factor in business success. Without the ability to identify customers and convince them to purchase the product or service being offered, businesses would not survive. Recent advancements in technology have given rise to new opportunities to engage customers through the use of electronic marketing (e-marketing). E- marketing draws from traditional marketing principles, while also expanding the types of strategies available to companies. Websites, social media, and online marketplaces are just some examples of how businesses are leveraging e-marketing approaches to connect with potential customers. In formulating sound e-marketing strategies, it is important for …


Healthcare System-Use Behavior: A Systematic Review Of Its Determinants, Jiming Wu Jan 2016

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.


From The Desk Of The Editor Jan 2015

From The Desk Of The Editor

Journal of International Technology and Information Management

No abstract provided.


Table Of Contents Jan 2015

Table Of Contents

Journal of International Technology and Information Management

No abstract provided.


From The Desk Of The Editor Jan 2015

From The Desk Of The Editor

Journal of International Technology and Information Management

No abstract provided.


Table Of Contents Jan 2015

Table Of Contents

Journal of International Technology and Information Management

No abstract provided.


Table Of Contents Jan 2015

Table Of Contents

Journal of International Technology and Information Management

No abstract provided.


From The Desk Of The Editor Jan 2015

From The Desk Of The Editor

Journal of International Technology and Information Management

No abstract provided.


Table Of Contents Jan 2015

Table Of Contents

Journal of International Technology and Information Management

No abstract provided.


From The Desk Of The Editor Jan 2015

From The Desk Of The Editor

Journal of International Technology and Information Management

No abstract provided.


Patents As Business Intelligence Tools, Amy Jansen Jan 2014

Patents As Business Intelligence Tools, Amy Jansen

Librarian Publications

As most entrepreneurs and business owners can tell you, one of the most significant considerations that companies face is how to protect their work. Managing intellectual property is now integrated with overall business models and corporate strategy. For this reason, patents have become crucial strategic pieces in business and competitive intelligence in the twenty-first century. Having the right patents, and even more importantly, knowing how to use them can either bolster or harm a company. As technology and rapid advancements in innovation become the cornerstone of corporate success, companies’ research and development (R & D) and patent spending have become …


Data Mining The Harness Track And Predicting Outcomes, Robert P. Schumaker Apr 2013

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.