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    題名: Forecasting Technological Change via Driving Force Approach based on Innovation Diffusion and Complexity Theory
    作者: Wu, Chien-hsin
    關鍵詞: Technology forecasting;Complexity theory;Complex adaptive systems;Innovation diffusion;Driving forces
    日期: 2023-06
    上傳時間: 2024-01-29 12:05:24 (UTC+8)
    摘要: Traditional forecasting methods usually predict industry trends and technologies in only a single direction, either upward or downward. Therefore, the forecasting results would often show surprising deviations, particularly for those industries that are complex and may have abrupt changes. Consequently, this study aims to fill this gap and develop a new approach by making industrial driving forces a concrete tool for forecasting technological changes and industry trends. Both qualitative and quantitative data were collected to examine the future direction of OLED (organic light-emitting diode) technology, which is regarded as complex with highly uncertain opportunities and market potential. The forecasted data were then compared with the actual industrial data. The results indicated that both showed the same cyclical pattern. These preliminary findings imply that the concept of driving forces can be utilized as a forecasting tool when integrated with quantitative data analysis.
    關聯: International Journal of Information and Management Sciences 34(2), p.161-178
    DOI: 10.6186/IJIMS.202306_34(2).0005
    顯示於類別:[管理科學學系暨研究所] 期刊論文

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