文献类型：期刊文献

英文题名：UNISON framework for user requirement elicitation and classification of smart product-service system

作者：Zhang, Ke[1,2];Lin, Kuo-Yi[3];Wang, Jinfeng[4];Ma, Yakun[5];Li, Huailiang[6];Zhang, Luyao[7];Liu, Kehui[5];Feng, Lijie[8]

第一作者：Zhang, Ke

通讯作者：Feng, LJ[1]

机构：[1]Zhengzhou Univ, Sch Informat Management, Zhengzhou 450001, Peoples R China;[2]Henan Innovat Methods Engn Technol Res Ctr, Zhengzhou 450001, Peoples R China;[3]Guilin Univ Elect Technol, Sch Business, Guilin 541004, Peoples R China;[4]Shanghai Maritime Univ, China Inst FTZ Supply Chain, Shanghai 201306, Peoples R China;[5]Zhengzhou Univ, Sch Management, Zhengzhou 450001, Peoples R China;[6]Henan Judicial Police Vocat Coll, Zhengzhou 450001, Peoples R China;[7]Henan Univ Econ & Law, Sch Business Adm, Zhengzhou 450001, Peoples R China;[8]Shanghai Maritime Univ, Logist Engn Coll, Shanghai 201306, Peoples R China

第一机构：Zhengzhou Univ, Sch Informat Management, Zhengzhou 450001, Peoples R China

通讯机构：[1]corresponding author), Shanghai Maritime Univ, Logist Engn Coll, Shanghai 201306, Peoples R China.

年份：2023

卷号：57

外文期刊名：ADVANCED ENGINEERING INFORMATICS

收录：;EI(收录号：20232814375078);Scopus(收录号：2-s2.0-85164244049);WOS:【SCI-EXPANDED(收录号:WOS:001033307500001)】；

基金：The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. This research was funded by National Key Research and Development Program (No. 2022YFF0608700), National Natural Science Foundation of China (No. 62173253), General Project of Humanities and Social Science Research for Henan Province's Colleges and Universities (No. 2023-ZZJH-039), Education Department of Henan Province Culture Research Project of Henan Cultural Revitalization (No. 2022XWH082), and Shanghai Science and Technology Program (No. 20040501300).

语种：英文

外文关键词：Smart product -service system; UNISON; Requirement elicitation; Requirement evaluation; Data -driven; Deep learning

摘要：Smart product-service system (smart PSS) has become the manufacturers' new revenue and sustainable competitiveness sources with the rise of digital servitization. To configure a customer-tailored smart PSS effectively, requirement analysis plays a significant role. Till now, the heterogeneity feature of smart PSS requirements, the usage of user-generated data, and data-driven paradigm have not been considered sufficiently. Hence, this study develops a UNISON framework based on the integration of deep learning approaches for eliciting and evaluating the user requirements for smart PSS with a systematic process, data-driven manner, and quantitative results. Adopting the user-centric perspective, this study employed massive user online reviews as the niche for requirement analysis. The bidirectional long short-term memory (Bi-LSTM) neural network and biterm topic model (BTM) were employed to extract and elicit the smart PSS requirements in both product and service aspects. Further, a multi-dimensional and automatic requirement evaluation method integrating the sentiment analysis, IPA-Kano model, and opportunity algorithm was proposed for assessing, classifying, and prioritizing the identified requirement items. A smart PSS requirement landscape map was also developed to present the analysis results visually and guide decision-making. An empirical study has been conducted for the smart cleaning robot service system to prove the feasibility of the suggested approach. Enabled by the hybrid application of big data analytics and deep learning techniques, this study can empower the smart PSS provider to understand the user requirements comprehensively and upgrade the smart PSS design effectively.