Capturing the Production of Innovative Ideas: An Online Social Network Experiment and “Idea Geography” Visualization

Yiding Cao*, Yingjun Dong, Minjun Kim, Neil G. MacLaren, Ankita Kulkarni, Shelley D. Dionne, Francis J. Yammarino, Hiroki Sayama

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Collective design and innovation are crucial in organizations. To investigate how the collective design and innovation processes would be affected by the diversity of knowledge and background of collective individual members, we conducted three collaborative design task experiments which involved nearly 300 participants who worked together anonymously in a social network structure using a custom-made computer-mediated collaboration platform. We compared the idea generation activity among three different background distribution conditions (clustered, random, and dispersed) with the help of the “doc2vec” text representation machine learning algorithm. We also developed a new method called “Idea Geography” to visualize the idea utility terrain on a 2D problem domain. The results showed that groups with random background allocation tended to produce the best design idea with the highest utility values. It was also suggested that the diversity of participants’ backgrounds distribution on the network might interact with each other to affect the diversity of ideas generated. The proposed idea geography successfully visualized that the collective design processes did find the high utility area through exploration and exploitation in collaborative work.

Original languageEnglish
Title of host publicationProceedings of the 2019 International Conference of The Computational Social Science Society of the Americas
EditorsZining Yang, Elizabeth von Briesen
PublisherSpringer Science and Business Media B.V.
Pages341-354
Number of pages14
ISBN (Print)9783030775162
DOIs
Publication statusPublished - 2021
Externally publishedYes
EventInternational Conference of the Computational Social Science Society of the Americas, CSSSA 2019 - Santa Fe, United States
Duration: 2019 Oct 242019 Oct 27

Publication series

NameSpringer Proceedings in Complexity
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692

Conference

ConferenceInternational Conference of the Computational Social Science Society of the Americas, CSSSA 2019
Country/TerritoryUnited States
CitySanta Fe
Period19/10/2419/10/27

ASJC Scopus subject areas

  • Applied Mathematics
  • Modelling and Simulation
  • Computer Science Applications

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