Abstract
With the rapid technological innovation of consumer electronic products, the successful research and development strategies must match customers’ demand. If enterprise can satisfy the expectations of customers, the brand value and customer loyalty will be enhanced and maintain the advantage in global competition. However, the customers’ preferences are elusive, the ability to grasp customer needs accurately is essential to enterprise. With the popularity of the Internet, many community platforms are established, customers can express their opinions and comments toward product directly through the Internet. The comments on the Internet provide the collective and real-time information, which are important reference for enterprise to develop R&D strategies. Quality function deployment (QFD) transfers customers’ voice into technical needs which contributes to the development of R&D strategies. This study uses the web data crawler software to retrieve the voice of customers (VoC) of case products on the e-commerce platform, then applies text mining approach to extract the keywords of the negative comments. Systematic key term filtering rules are set up to select the representative key terms in the negative comments. Component- based ontology of selected product is constructed, and the key functions are defined based on the ontology, the literature related to key functions are collected for QFD construction. Latent semantic analysis algorithm is used to calculate the correlation between VoC and key functions. Thus, the importance of VoC and key functions can be ranked. Technology function matrix is a patent analytic approach which reveals the patent distribution of specific domain in sub-functions and sub-technologies. This study further incorporates the technology function matrix dimension as the framework of the extended QFD to identify the case companies’ patent distributions to key functions of its product development. This research not only provides the suggestions of product improvement, but also serve as a reference for developing IP portfolio strategy.