Antonina Durfee

Investigating Task Completion for a Complicated Online Travel Search

In this study we explore how user characteristics such as trust, persistence, and perceptions of the benefits and impediments of online travel shopping influence user likelihood to complete a specific travel shopping task. Through an uncontrolled experiment with a multistep travel search task, we test the difference in user characteristics between those who completed and those who did not. Sixty-four percent did not complete the travel itinerary. The results of analyses using logistic regression indicate that those who trust more were less likely to complete the task, while those with a high perception of the benefits of online shopping were more likely to complete the task. Those with more self-reported persistence were more Iikley to complete the task.

Linking utilization of text mining technologies and academic productivity

With the advent of Web 2.0 digital data gathering and information structuring is taking more and more of knowledge workers time. Various types of knowledge workers including scientists, engineers, analysts, and academicians use information to create knowledge. Their labor aims at problem solving based on gathered data and information structuring. It is generally believed that knowledge workers rely heavily on information technologies to access and to assess information they need to be productive. This hypothesis rests on the assumption that the most productive knowledge workers are the ones who can efficiently utilize current information processing technologies. The primary purpose of this study is to examine the relationship between productivity of knowledge workers and their familiarity and use of modern text processing and complex TM technologies.