A Framework for a Persistent Representation of Customer Knowledge to Enhance Product Development

被引:0
|
作者
Vogel, Simone [1 ]
Kreimeyer, Matthias [2 ]
Richter, Ronny [3 ]
Spinler, Stefan [1 ]
机构
[1] WHU Otto Beisheim Sch Management, D-56179 Vallendar, Germany
[2] Univ Stuttgart, Inst Engn Design & Ind Design, D-70569 Stuttgart, Germany
[3] MAN Truck & Bus SE, Dept Prod Strategy, D-80995 Munich, Germany
关键词
Case study; customer integration (CI); knowledge management (KM); knowledge representation; new product development (NPD); MANAGEMENT; INNOVATION; INTEGRATION; SYSTEMS; FUTURE;
D O I
10.1109/TEM.2023.3301821
中图分类号
F [经济];
学科分类号
02 ;
摘要
Competitive pressure, individualization, and constantly advancing technologies require manufacturers to gain knowledge about their customers to offer well-adapted solutions. Despite being an indispensable resource for achieving a competitive advantage, managing customer knowledge is an enormous challenge that quickly becomes a complexity trap, unless targeted processes are available. From the literature, it is known that the target-oriented knowledge management systems are required to map knowledge structures, which help to improve the organizational knowledge lifecycle and advance organizational learning. In this article, we extend research on the intersection of knowledge management and customer integration by proposing a framework for the persistent representation of customer knowledge for product development. This allows companies to integrate customer knowledge into development processes, adding value, and also leading to organizational learning from the knowledge-based view. Knowledge management systems with respect to the customer knowledge are relatively unexplored, and the literature on knowledge management often lacks empirical data. Empirical data are collected through a case study of a leading commercial vehicle manufacturer to explore the link between customer integration and knowledge management. Practitioners are provided with a practice-oriented concept that offers guidance on how to structure a knowledge representation from the company's point of view, aiming at achieving a competitive advantage.
引用
收藏
页码:9496 / 9509
页数:14
相关论文
共 50 条
  • [31] Linking innovative product development with customer knowledge: a data-mining approach
    Su, Chao-Ton
    Chen, Yung-Hsin
    Sha, D. Y.
    TECHNOVATION, 2006, 26 (07) : 784 - 795
  • [32] Customer-driven product development system based on knowledge and web technology
    Chen, X
    Chen, H
    Chen, X
    Zheng, D
    ADVANCES IN MANUFACTURING TECHNOLOGY-XVI, 2001, : 159 - 165
  • [33] Modes and mechanism of customer knowledge transferring in internet-based product development
    Fang, Lan
    Wang, Li
    PROCEEDINGS OF THE 2007 CONFERENCE ON SYSTEMS SCIENCE, MANAGEMENT SCIENCE AND SYSTEM DYNAMICS: SUSTAINABLE DEVELOPMENT AND COMPLEX SYSTEMS, VOLS 1-10, 2007, : 2113 - 2118
  • [34] A collaborative framework to minimise knowledge loss in new product development
    Shankar, Ravi
    Mittal, Neha
    Rabinowitz, Samuel
    Baveja, Alok
    Acharia, Sourish
    INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2013, 51 (07) : 2049 - 2059
  • [35] Does customer interaction enhance new product success?
    Gruner, KE
    Homburg, C
    JOURNAL OF BUSINESS RESEARCH, 2000, 49 (01) : 1 - 14
  • [36] Framework for development of cognitive innovation to enhance knowledge construction and memory process
    Kwangmuang, Parama
    Chaijaroen, Sumalee
    Samat, Charuni
    Kanjug, Issara
    4TH WORLD CONFERENCE ON EDUCATIONAL SCIENCES (WCES-2012), 2012, 46 : 3409 - 3414
  • [37] Customer Experiential Knowledge Management (CEKM) - Concept Proposition and Research Framework Development
    Bouagina, Dhouha Jaziri
    Triki, Abdelfattah
    PROCEEDINGS OF THE 14TH EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT (ECKM 2013), VOLS 1 AND 2, 2013, : 307 - 314
  • [38] TOWARD A FRAMEWORK FOR DEVELOPING KNOWLEDGE-BASED DECISION-SUPPORT SYSTEMS FOR CUSTOMER SATISFACTION ASSESSMENT - AN APPLICATION IN NEW PRODUCT DEVELOPMENT
    LIBERATORE, MJ
    STYLIANOU, AC
    EXPERT SYSTEMS WITH APPLICATIONS, 1995, 8 (01) : 213 - 228
  • [39] MINING CUSTOMER KNOWLEDGE FOR CHANNEL AND PRODUCT SEGMENTATION
    Liao, Shu-Hsien
    Chen, Yin-Ju
    Yang, Hsiao-Wei
    APPLIED ARTIFICIAL INTELLIGENCE, 2013, 27 (07) : 635 - 655
  • [40] Customer product returns - feedback and knowledge management
    Klapalova, Alena
    MEASURING BUSINESS EXCELLENCE, 2019, 23 (02) : 149 - 164