Technology Life Cycle Forecasting of Chinese Hydraulic Components Based on Patent Analysis

被引:0
|
作者
Zhao Xiuxu [1 ]
Ke Wei [1 ]
Zhou Chuanli [1 ]
Li Benhai [2 ]
机构
[1] Wuhan Univ Technol, Sch Mechatron Engn, Wuhan 430070, Peoples R China
[2] China Acad Machinery Sci & Technol, Beijing 100044, Peoples R China
关键词
Patent analysis; Technical life cycle forecasting; Logistic model; S curve; Hydraulic component; HYDROGEN ENERGY; FUEL-CELL;
D O I
暂无
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
In the current research related to the forecasting of the technology life cycle, the S-curve is fitted based on historical data for a particular technology, then the technology life cycle is forecast according to the fitting parameters. However, in the whole development process of a technology, it may contain multiple S-curves, only using a single S curve fitting is impossible to get the forecasting results accurately. In this study, the patent data of the hydraulic components of China and the other countries are compared, and the difference between the development stage of them is analyzed. From the analysis result of the other countries, it has been found that there may be appeared more than one S curve in the technology life cycle of hydraulic component, when the development of the technology is still in its early stage, only through the existing data is difficult to accurately predict the technology life cycle. Therefore, the comprehensive solution which combine with the development stage and the S curve inflection point analysis are presented in this paper, which can forecast the technology life cycle of Chinese hydraulic components accurately.
引用
收藏
页码:1123 / 1127
页数:5
相关论文
共 50 条
  • [21] Patent quality determinants based on technology life cycle with special reference to solar-cell technology field
    Park, Jungkyu
    Heo, Eunnyeong
    MAEJO INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY, 2013, 7 (02) : 315 - 328
  • [22] Patent analysis for technology forecasting: Sector-specific applications
    Yoon, Byungun
    Lee, Sungjoo
    IEMC - EUROPE 2008: INTERNATIONAL ENGINEERING MANAGEMENT CONFERENCE, EUROPE, CONFERENCE PROCEEDINGS: MANAGING ENGINEERING, TECHNOLOGY AND INNOVATION FOR GROWTH, 2008, : 369 - 373
  • [23] Exploring Electric Vehicle Patent Trends through Technology Life Cycle and Social Network Analysis
    Chen, Yuan
    Cho, Seok Swoo
    SUSTAINABILITY, 2024, 16 (17)
  • [24] FORECASTING BY PRODUCT LIFE-CYCLE ANALYSIS
    KOVAC, FJ
    DAGUE, MF
    RESEARCH MANAGEMENT, 1972, 15 (04): : 66 - &
  • [25] Development trend forecasting for coherent light generator technology based on patent citation network analysis
    Hanlin You
    Mengjun Li
    Keith W. Hipel
    Jiang Jiang
    Bingfeng Ge
    Hante Duan
    Scientometrics, 2017, 111 : 297 - 315
  • [26] How to Analyze Technology Life Cycle from the Perspective of Patent Characteristics?
    Lee, Pei-Chun
    Sue, Hsin-Ning
    PICMET '15 PORTLAND INTERNATIONAL CENTER FOR MANAGEMENT OF ENGINEERING AND TECHNOLOGY, 2015, : 2079 - 2083
  • [27] Patent and publishing activity sequence over a technology's life cycle
    Jarvenpaa, Heini M.
    Makinen, Saku J.
    Seppanen, Marko
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2011, 78 (02) : 283 - 293
  • [28] Technological potential analysis and vacant technology forecasting in the graphene field based on the patent data mining
    Wang, Chang
    Geng, Hongjun
    Sun, Rui
    Song, Huiling
    RESOURCES POLICY, 2022, 77
  • [29] Development trend forecasting for coherent light generator technology based on patent citation network analysis
    You, Hanlin
    Li, Mengjun
    Hipel, Keith W.
    Jiang, Jiang
    Ge, Bingfeng
    Duan, Hante
    SCIENTOMETRICS, 2017, 111 (01) : 297 - 315
  • [30] Volatile organic compounds pollution control technologies: Past, current and future analysis based on patent text mining and technology life cycle analysis
    Pan, Zhou
    Wang, Yuan
    Ren, Jingzheng
    Chen, Hong
    Lu, Yaling
    Wang, Yanwei
    Ping, Liying
    Yang, Chenbo
    JOURNAL OF CLEANER PRODUCTION, 2022, 379