Forecasting OLED TV Technology Using Bibliometrics and Fisher-Pry Diffusion Model

被引:0
|
作者
Cho, Yonghee [1 ]
Daim, Tugrul U. [1 ]
Sklar, Paul [2 ]
机构
[1] Portland State Univ, Dept Engn & Technol Management, Portland, OR 97207 USA
[2] Energy Trust Oregon, Portland, OR USA
关键词
SUBSTITUTION MODEL; MARKET; GROWTH;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The market of flat panel displays is experiencing rapid growth with the advancement of digital technologies in broadcasting service. The next challenge of LCD is OLED in TV market. The study attempts to investigate the trends in advanced or emerging technologies by determining their technology diffusion rates due to the lack of experiential data. With the development of information and communication technology, one of the recent methods to assist in technology forecasting is data mining in bibliometric or textual data from various sources such as patents, journals, and research awards. The information extracted from diverse sources can be employed in technology diffusion models such as Fisher-Pry where emerging technologies substitute older ones. The study uses web of science and compendex for bibliometric analysis to forecast the growth of next-generation OLED technologies based on the analogous growths of LCD technologies.
引用
收藏
页码:2167 / 2176
页数:10
相关论文
共 50 条
  • [31] Forecasting total natural-gas consumption in Spain by using the stochastic Gompertz innovation diffusion model
    Gutiérrez, R
    Nafidi, A
    Sánchez, RG
    APPLIED ENERGY, 2005, 80 (02) : 115 - 124
  • [32] Operational Efficiency Forecasting Model of an Existing Underground Mine Using Grey System Theory and Stochastic Diffusion Processes
    Savic, Svetlana Strbac
    Ostojic, Jasmina Nedeljkovic
    Gligoric, Zoran
    Cvijovic, Cedomir
    Aleksandrovic, Snezana
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [33] Probabilistic forecasting of renewable energy and electricity demand using Graph-based Denoising Diffusion Probabilistic Model
    Miraki, Amir
    Parviainen, Pekka
    Arghandeh, Reza
    ENERGY AND AI, 2025, 19
  • [34] Box-office forecasting in Korea using search trend data: a modified generalized Bass diffusion model
    Daekook Kang
    Electronic Commerce Research, 2021, 21 : 41 - 72
  • [35] Evolving an Information Diffusion Model Using a Genetic Algorithm for Monthly River Discharge Time Series Interpolation and Forecasting
    Bai, Chengzu
    Hong, Mei
    Wang, Dong
    Zhang, Ren
    Qian, Longxia
    JOURNAL OF HYDROMETEOROLOGY, 2014, 15 (06) : 2236 - 2249
  • [36] Box-office forecasting in Korea using search trend data: a modified generalized Bass diffusion model
    Kang, Daekook
    ELECTRONIC COMMERCE RESEARCH, 2021, 21 (01) : 41 - 72
  • [37] A hybrid model using signal processing technology, econometric models and neural network for carbon spot price forecasting
    Zhang, Jinliang
    Li, Dezhi
    Hao, Yu
    Tan, Zhongfu
    JOURNAL OF CLEANER PRODUCTION, 2018, 204 : 958 - 964
  • [38] Prediction of the clinicopathological subtypes of breast cancer using a fisher discriminant analysis model based on radiomic features of diffusion-weighted MRI
    Ni, Ming
    Zhou, Xiaoming
    Liu, Jingwei
    Yu, Haiyang
    Gao, Yuanxiang
    Zhang, Xuexi
    Li, Zhiming
    BMC CANCER, 2020, 20 (01)
  • [39] Prediction of the clinicopathological subtypes of breast cancer using a fisher discriminant analysis model based on radiomic features of diffusion-weighted MRI
    Ming Ni
    Xiaoming Zhou
    Jingwei Liu
    Haiyang Yu
    Yuanxiang Gao
    Xuexi Zhang
    Zhiming Li
    BMC Cancer, 20
  • [40] Digital convergence service from the viewpoint of provider and user factors using technology acceptance and diffusion model
    Sawng, Yeong-Wha
    Lee, Jungmann
    Motohashi, Kazuyuki
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2015, 18 (01): : 293 - 308