Title :
Linking Social Media with Open Innovation: An Intelligent Model
Author :
Shuliang Li ; Jim Zheng Li
Author_Institution :
Westminster Bus. Sch., Univ. of Westminster, London, UK
Abstract :
A hybrid intelligent model for linking social media with open innovation strategies, processes and diffusion is proposed and discussed in this paper. In order to deal with the various facets or properties of the open innovation problem, we recommend and present a new paradigm and framework for integrating the strengths or advantages of intelligent software agents, fuzzy logic, expert systems, complex adaptive system theory, the analytic hierarchy process, simulation technique, and hybrid intelligent system method. The theoretical underpinning and rationale for the hybrid framework are provided. In addition, the effectiveness and efficiency of using social media, artificial intelligence, groupware and group decision support systems, and other decision support techniques and technologies in open innovation management are explored. Furthermore, research hypotheses on this topic are formulated.
Keywords :
adaptive systems; analytic hierarchy process; artificial intelligence; expert systems; fuzzy logic; group decision support systems; innovation management; large-scale systems; social networking (online); software agents; system theory; analytic hierarchy process; artificial intelligence; complex adaptive system theory; expert systems; fuzzy logic; group decision support systems; groupware; hybrid intelligent model; hybrid intelligent system method; intelligent software agents; open innovation problem; simulation technique; social media; Adaptation models; Decision support systems; Fuzzy logic; Innovation management; Media; Technological innovation; Social media; analytic hierarchy process; complex adaptive system; expert system; fuzzy logic; hybrid intelligent model; intelligent decision support system; intelligent software agent; open innovation management; simulation;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-6635-6
DOI :
10.1109/ICICTA.2014.87