Design Thinking from Paradigm Shift-To Predict ICT’s Product Life Cycle by Grey Prediction

碩士 === 東海大學 === 工業設計學系碩士在職專班 === 105 === Owning to the rapid development of Information technologies with many generations of product updates and changes, plus the highly developed internet technology, drives electronic products made of new Information and communication technologies (ICT’s) much p...

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Main Authors: LEE,WEN-HUNG, 李文鴻
Other Authors: KUO,PING-HONG
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/577m73
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spelling ndltd-TW-105THU010380012019-05-15T23:10:10Z http://ndltd.ncl.edu.tw/handle/577m73 Design Thinking from Paradigm Shift-To Predict ICT’s Product Life Cycle by Grey Prediction 典範轉移的設計思考-由灰色預測產品生命週期之研究 LEE,WEN-HUNG 李文鴻 碩士 東海大學 工業設計學系碩士在職專班 105 Owning to the rapid development of Information technologies with many generations of product updates and changes, plus the highly developed internet technology, drives electronic products made of new Information and communication technologies (ICT’s) much popular. The product life cycle depends on the user’s acceptance, market trends, competitive pressures and the influence of new technologies, etc. For the survival of high-tech electronic products in such an increasingly competitive environment, we must keep up with market trends at any time and predict the future trends to make the profitable decisions during “design thinking” of making products. By which shows the importance of forecasting the trends of the future of the industry. The industry data collected can be divided into primary data and secondary data. The acquiring of primary data would cost a lot of devoting of manpower and time to which not everyone can afford. By making good use of the convenience of network and the digital database to collect the secondary data published openly and then analyze and utilize it may bring great benefit to the industry. With the availability of the secondary data of ICT’s products shipments volume as Personal Computer (PC), Notebook PC (NB) and Smart Phone (SP), this research is expected to obtain the following results: 1. By means of "Grey Prediction" model”, it can calculate and establish trends forecasting of ICT’s product. 2. Exploring the "paradigm shift" of the motion path from the historical track of ICT’s development to reach the mastery of ICT’s-band elements. 3. From the “Paradigm shift "in-band elements, by means of the interpretation of" Interpretive structural modeling" (ISM) elements to plan out the band level as the basis for design thinking. Research results can help the industries to grasp the market trends, reduce risks, create the value of products and benefits of sustainable development of ICT’s-product (PC, NB, SP). It can also offer substantial help for the upstream and downstream industries of ICT’s-product (such as semiconductors, electronic components, PCB, etc.) at the same time. KUO,PING-HONG 郭炳宏 2017 學位論文 ; thesis 86 zh-TW
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description 碩士 === 東海大學 === 工業設計學系碩士在職專班 === 105 === Owning to the rapid development of Information technologies with many generations of product updates and changes, plus the highly developed internet technology, drives electronic products made of new Information and communication technologies (ICT’s) much popular. The product life cycle depends on the user’s acceptance, market trends, competitive pressures and the influence of new technologies, etc. For the survival of high-tech electronic products in such an increasingly competitive environment, we must keep up with market trends at any time and predict the future trends to make the profitable decisions during “design thinking” of making products. By which shows the importance of forecasting the trends of the future of the industry. The industry data collected can be divided into primary data and secondary data. The acquiring of primary data would cost a lot of devoting of manpower and time to which not everyone can afford. By making good use of the convenience of network and the digital database to collect the secondary data published openly and then analyze and utilize it may bring great benefit to the industry. With the availability of the secondary data of ICT’s products shipments volume as Personal Computer (PC), Notebook PC (NB) and Smart Phone (SP), this research is expected to obtain the following results: 1. By means of "Grey Prediction" model”, it can calculate and establish trends forecasting of ICT’s product. 2. Exploring the "paradigm shift" of the motion path from the historical track of ICT’s development to reach the mastery of ICT’s-band elements. 3. From the “Paradigm shift "in-band elements, by means of the interpretation of" Interpretive structural modeling" (ISM) elements to plan out the band level as the basis for design thinking. Research results can help the industries to grasp the market trends, reduce risks, create the value of products and benefits of sustainable development of ICT’s-product (PC, NB, SP). It can also offer substantial help for the upstream and downstream industries of ICT’s-product (such as semiconductors, electronic components, PCB, etc.) at the same time.
author2 KUO,PING-HONG
author_facet KUO,PING-HONG
LEE,WEN-HUNG
李文鴻
author LEE,WEN-HUNG
李文鴻
spellingShingle LEE,WEN-HUNG
李文鴻
Design Thinking from Paradigm Shift-To Predict ICT’s Product Life Cycle by Grey Prediction
author_sort LEE,WEN-HUNG
title Design Thinking from Paradigm Shift-To Predict ICT’s Product Life Cycle by Grey Prediction
title_short Design Thinking from Paradigm Shift-To Predict ICT’s Product Life Cycle by Grey Prediction
title_full Design Thinking from Paradigm Shift-To Predict ICT’s Product Life Cycle by Grey Prediction
title_fullStr Design Thinking from Paradigm Shift-To Predict ICT’s Product Life Cycle by Grey Prediction
title_full_unstemmed Design Thinking from Paradigm Shift-To Predict ICT’s Product Life Cycle by Grey Prediction
title_sort design thinking from paradigm shift-to predict ict’s product life cycle by grey prediction
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/577m73
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