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.