Collective Intelligence

The Creative Way from Knowledge to Open Innovation

Bibliographic Data

ID19450084
AuthorsJinhyo Joseph Yun (0000-0003-2690-3550, Jinhyo Joseph Yun (corresponding author), Department of Open Innovation and Business Model, Open Innovation Academy of SOI, Daegu Gyeongbuk Institute of Science and Technology (DGIST), 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu 42988, Republic of Korea., corresponding author), Euiseob Jeong (Euiseob Jeong, Korea Institute of Science and Technology Information (KISTI), Seoul Capital Area Branch, Seoul, Korea.), Sangwoo Kim (0000-0002-6908-2660, Sangwoo Kim, Korea Institute of Science and Technology Information (KISTI), Seoul Capital Area Branch, Seoul, Korea.), Heungju Ahn (0000-0002-2491-1955, Heungju Ahn, Daegu Gyeongbuk Institute of Science and Technology (DGIST), 333, Techno Jungang Daero, Hyeonpung-Myeon, Dalseong-Gun, Daegu 42988, Republic of Korea.), Kyunghun Kim (0000-0002-1844-502X, Kyunghun Kim, Local Development Research Institute (LADI), Daegu, Korea.), Sung Deuk Hahm (Sung Deuk Hahm, Korea Research Institute of Presidency (KIPS), Seoul, Korea.), Kyungbae Park (0000-0003-0900-609X, Sangji University)
Year2021
Volume26
Issue2
Pages201-222
Publication date2021-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueScience Technology and Society (JOURNAL)
Journal identifiersISSN: 0971-7218 • E-ISSN: 0973-0796
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/09717218211005604
OpenAlexW3162891412
LanguageEN
Citations received4
References cited21

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

Collective intelligence · Knowledge management · Open Innovation · Political science · Scopus · Computer Science · Green IT and Sustainability · Open Source Software Innovations

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