Harnessing text mining and bibliometric web counts for modeling is assessment framework and automated tool

In today‘s hyper-competitive business environment, in which Information technology (IT) innovations occur at increasing speeds with shorter life cycles, companies engage in technology assessment (TA) prior to IT investments. However, TA presents a tough challenge for decision makers due to their inability to manually process the abundance of data available about a specific technology on the Internet. This research-in-progress aims at responding to the TA challenge by modeling a TA framework for making sense of Internet data about a certain technology and developing automated decision support tool based on the model - Technology Assessment Software Kit (TASK).