Lead users: a source of novel product concepts
Management Science
Lead user analyses for the development of new industrial products
Management Science
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Shifting Innovation to Users via Toolkits
Management Science
User Innovation Networks and Research Challenges
OCSC '09 Proceedings of the 3d International Conference on Online Communities and Social Computing: Held as Part of HCI International 2009
Strategic group identification using evolutionary computation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
"Open CAI 2.0" - Computer Aided Innovation in the era of open innovation and Web 2.0
Computers in Industry
An evolutionary computation approach for designing mobile ad hoc networks
Expert Systems with Applications: An International Journal
Open Innovation in an Enterprise 3.0 framework: Three case studies
Expert Systems with Applications: An International Journal
Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems
IEEE Transactions on Evolutionary Computation
A genetic search of patterns of behaviour in OSS communities
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Open innovation represents an emergent paradigm by which organizations make use of internal and external resources to drive their innovation processes. The growth of information and communication technologies has facilitated a direct contact with customers and users, which can be organized as open innovation communities through Internet. The main drawback of this scheme is the huge amount of information generated by users, which can negatively affect the correct identification of potentially applicable ideas. This paper proposes the use of evolutionary computation techniques for the identification of innovators, that is, those users with the ability of generating attractive and applicable ideas for the organization. For this purpose, several characteristics related to the participation activity of users though open innovation communities have been collected and combined in the form of discriminant functions to maximize their correct classification. The right classification of innovators can be used to improve the ideas evaluation process carried out by the organization innovation team. Besides, obtained results can also be used to test lead user theory and to measure to what extent lead users are aligned with the organization strategic innovation policies.