Presenting Author

Andreas Schieber

Paper Type

Completed Research Paper

Abstract

Following the emergence of Social Media and the increasing willingness of customers to share thoughts, ideas, and experiences companies are trying to capitalize on such activities. Due to the vast amount of user-generated content, manual analysis and interpretation will not meet the demands of companies in highly competitive environments. Based on an integrative process model, which describes the process of idea generation, we outline a BPMN-based path that allows companies to steer user participation and the application of Text Mining methods to gain valuable ideas for innovative products. Our approach also illustrates the Knowledge Management perspective supporting the customers during idea generation. In order to demonstrate the applicability of our model we finally depict the whole process utilizing Dell’s IdeaStorm

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Idea Mining – Text Mining Supported Knowledge Management for Innovation Purposes

Following the emergence of Social Media and the increasing willingness of customers to share thoughts, ideas, and experiences companies are trying to capitalize on such activities. Due to the vast amount of user-generated content, manual analysis and interpretation will not meet the demands of companies in highly competitive environments. Based on an integrative process model, which describes the process of idea generation, we outline a BPMN-based path that allows companies to steer user participation and the application of Text Mining methods to gain valuable ideas for innovative products. Our approach also illustrates the Knowledge Management perspective supporting the customers during idea generation. In order to demonstrate the applicability of our model we finally depict the whole process utilizing Dell’s IdeaStorm