Abstract
The brainstorming is a useful method to collect customers' ideas, and the interactive evolutionary computing (IEC) usually evolves into the personal innovative product according to the designer's preference. In this study, we follow the grounded theory to formulate the framework of interactive chance discovery (ICD). After collected the evolution data, we use social network analysis (SNA) indexes to identify strong-tie and weak-tie's relationship. According to the phenomenon of the small world, we believed these complicated relationships include some images of present and future. And these images can help us to discover the market of future. In conclusion, the result of analysis indicated the weak-tie relation can increase the extra innovative concept. © Springer-Verlag Berlin Heidelberg 2009.
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Yang, H. F., & Lin, M. H. (2009). Innovative chance discovery - Extracting customers’ innovative concept. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5484 LNCS, pp. 462–466). https://doi.org/10.1007/978-3-642-01129-0_52
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