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How to Solve Problems with Crowds: A Computer‐Based Simulation Model
Author(s) -
Vuculescu Oana,
Bergenholtz Carsten
Publication year - 2014
Publication title -
creativity and innovation management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.148
H-Index - 60
eISSN - 1467-8691
pISSN - 0963-1690
DOI - 10.1111/caim.12059
Subject(s) - crowds , computer science , variety (cybernetics) , crowdsourcing , perspective (graphical) , order (exchange) , process (computing) , selection (genetic algorithm) , operations research , data science , management science , artificial intelligence , world wide web , mathematics , computer security , economics , finance , operating system
Organizations rely on crowds for a variety of reasons, e.g. in order to evaluate (Amazon), create content (Threadless) but also to solve given problems (InnoCentive and OpenIDEO). Several studies have examined how to organize problem‐solving activities. However, most papers have examined the crowdsourcing process using a partial perspective and a wide‐ranging outlook has been missing. This study uses a computer‐based simulation model and anecdotal case studies of InnoCentive and OpenIDEO, in order to study the underlying drivers of collective problem solving behavior. Results suggest that dynamics between the number of users, number of iterations and different selection mechanisms impact the ability to find an optimal solution to the given problem.