Classification of Idea Generation Techniques

Kai Wang, Buffalo State College


Numerous idea generation techniques (IGTs) have been developed since the Twentieth century, and choosing from such a big pool of candidates can be demanding, which is further complicated by the elusiveness of the mechanisms of these IGTs. This project aims at developing a classification system for IGTs based on their underlying mechanisms. The first part of the project is to systematically search and review current literature for the classification of IGTs. The second part is to propose a new classification system and sort eighty seven IGTs according to it. Systematic classification of IGTs is rare in the literature, therefore this project fills a gap.