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Journal of Graphics ›› 2024, Vol. 45 ›› Issue (5): 1071-1083.DOI: 10.11996/JG.j.2095-302X.2024051071

• Industrial Design • Previous Articles     Next Articles

Research on design-driven product disruptive innovation methods

YANG Pei1(), SONG Jiong1, YANG Dongmei1, BAI Renfei2, CAO Guozhong3,4()   

  1. 1. School of Architecture & Art Design, Hebei University of Technology, Tianjin 300131, China
    2. School of Mechanical Engineering, Tianjin University of Science and Technology, Tianjin 300222, China
    3. School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401, China
    4. National Engineering Research Center for Technological Innovation Method and Tool, Hebei University of Technology, Tianjin 300401, China
  • Received:2024-05-30 Revised:2024-07-22 Online:2024-10-31 Published:2024-10-31
  • Contact: CAO Guozhong
  • About author:First author contact:

    YANG Pei (1982-), associate professor, master. His main research interest covers design-driven innovation. E-mail:yangpei@hebut.edu.cn

  • Supported by:
    Hebei Province Innovation Methods Research and Popularization and Application Project(CXFF-2024CY01);Innovative Construction of Design Capital Empowering the High-Quality Development of Tianjin’s Cultural Industry(2023JWZD20)

Abstract:

Based on theoretical studies in design-driven innovation and disruptive innovation, a design-driven disruptive innovation model was proposed, thereby enhancing research on disruptive innovation methods in design. This model comprised three stages: meaning discovery, functional system adjustment, and product language expression. Firstly, based on SET, market trends were envisioned for new product meanings, and internal critiques were utilized to explore feasible product meanings. Then, research on target users utilized AD to map functional requirements into design parameters, which were compared with the original product technology to adjust and achieve disruptive innovation solutions. The new product meaning features and the parts corresponding to the improved and added technologies were identified for product meaning interpretation, and samples of these parts were selected using analogy reasoning. Finally, similarity analysis was conducted to determine the design prototype and extract its elements. Extenics was employed to optimize the product language expression, resulting in a disruptive innovation product language solution. The electric wheelchair design example validated the model’s feasibility, providing a reference for other design-driven disruptive innovations.

Key words: design-driven innovation, disruptive innovation, product language, product meaning, functional adaptation, electric wheelchair

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