Collective Intelligence: The Creative Way from Knowledge to Open Innovation
JinHyo Joseph Yun, EuiSeob Jeong, Sangwoo Kim, Heungju Ahn, Kyunghun Kim, Sung Deuk Hahm, KyungBae Park
Abstract
This study aims to answer the following research question: Is there any difference in the effects of collective intelligence on the open innovation between before (2001–2005) and after (2011–2015) of the introduction of smartphones and crowd web services regarding electronics and mathematics? The research method of this study includes multiple regression analysis, including (1) the effect of collective intelligence on open innovation (i.e., the number of citations), (2) the effect of the amount of knowledge (i.e., the number of references) on open innovation and (3) the moderating effect of the amount of knowledge (i.e., the number of references) between collective intelligence and open innovation. The research scope of this study is Scopus published papers from two periods, namely, 2001–2005 and 2011–2015. The scope here is limited to mathematics and electronics. According to the research conducted here, if the amount of knowledge increases in an economic system, collective intelligence will increasingly motivate open innovation. The implication of this study is that there are diverse methods for collective intelligence to impact open innovation and the consequent results.