標題: Consumer driven product technology function deployment using social media and patent mining
作者: Trappey, Amy J. C.
Trappey, Charles V.
Fan, Chin-Yuan
Lee, Ian J. Y.
管理科學系
Department of Management Science
關鍵字: Web mining;Data mining;Quality function deployment (QFD);Patent analysis;Voice of the customer;Latent semantic analysis
公開日期: 1-四月-2018
摘要: The capability of identifying real-time customer needs is critical for manufacturers that provide short life cycle consumer products such as smart phones. Companies need to form research and development (R&D) strategies to improve key functional features for short lifespan products to reflect the adoption of innovative technologies and changing customer expectations. With the pervasive use of the Internet, this research crawls and analyzes the online voice of customers (VoC), overcoming the time lag of offline surveys, to identify and prioritize product functions for deployment using extended quality function deployment (eQFD) models. In this research, the novel analytics of the manufacturer's patent portfolio is added as an additional eQFD dimension to map ranked functional improvements to a manufacturer's R&D capabilities. Thus, a computer supported eQFD system is developed to perform the unique mappings and gap analyses between the VoC, the prioritized product functions, and the manufacturer's patent portfolio. The newly developed eQFD methodology and its novel discoveries are demonstrated in detail using a case study of three smart phones launched during the same time frame. The products include the Samsung Galaxy 57, the Huawei Honor 5X, and the ASUS Zenfone 3. The newly developed methodology is generally applicable to support VoC-centric product function deployment and R&D strategic planning in other domains.
URI: http://dx.doi.org/10.1016/j.aei.2018.03.004
http://hdl.handle.net/11536/145110
ISSN: 1474-0346
DOI: 10.1016/j.aei.2018.03.004
期刊: ADVANCED ENGINEERING INFORMATICS
Volume: 36
起始頁: 120
結束頁: 129
顯示於類別:期刊論文