The Technology Foresight of Cloud Computing Industry on 2020 Taiwan: An Application of Scenario Analysis

碩士 === 國立交通大學 === 管理學院經營管理學程 === 99 === After the global financial crisis in 2008, price fluctuation and natural disasters came in succession, and made dramatic change in macroeconomic environment. Thus many companies suffered from the shock are forced to cut down operating costs or just go out of b...

Full description

Bibliographic Details
Main Authors: Chen, Jung-Nan, 陳榮男
Other Authors: Cheng, Li-Ping
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/52611523184139236893
id ndltd-TW-099NCTU5627072
record_format oai_dc
spelling ndltd-TW-099NCTU56270722015-10-13T20:37:26Z http://ndltd.ncl.edu.tw/handle/52611523184139236893 The Technology Foresight of Cloud Computing Industry on 2020 Taiwan: An Application of Scenario Analysis 2020年台灣雲端運算產業技術前瞻:情境分析法之應用 Chen, Jung-Nan 陳榮男 碩士 國立交通大學 管理學院經營管理學程 99 After the global financial crisis in 2008, price fluctuation and natural disasters came in succession, and made dramatic change in macroeconomic environment. Thus many companies suffered from the shock are forced to cut down operating costs or just go out of business. Cloud computing gets a good chance to rise from the difficult business environment, and triggers a technology-innovated new business model to help companies expand and reduce IT resources elastically, as paying for the utilities such as water, electricity, according to the actual use. This study mainly applies the six major steps in scenario analysis developed by Stanford Research Institute (SRI), and focuses on the topic: “2020 Taiwan's Cloud Computing Technology Foresight.” This study first, finds out the focus of policy-developing issues and key decision-making factors of cloud computing industry as the essential elements to conduct scenario analysis, and then analyzes primary data, including interviews with experts, and questionnaires, and secondary data, including industry reports, books, websites, etc, in order to get the key decision factor (KDF) and the external driving forces. After identifying driving groups with high degree of uncertainty and impact according to the result of the survey with experts, three axes are selected to stand for uncertainty: “changes in market,” “changes in institution,” and “changes in technique.” This study constructs 8 (=23) kinds of basic scenarios with these three axes, and then ask experts to select the most optimistic, the most pessimistic, and the most likely happened scenarios objectively and respectively: “be the only leader,” “fall under the cloud,” and “surging to compete.” Finally, this study tries to find adaptive strategies based on these three scenarios for the future development of cloud computing industry in Taiwan as references. Cheng, Li-Ping 承立平 2011 學位論文 ; thesis 109 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立交通大學 === 管理學院經營管理學程 === 99 === After the global financial crisis in 2008, price fluctuation and natural disasters came in succession, and made dramatic change in macroeconomic environment. Thus many companies suffered from the shock are forced to cut down operating costs or just go out of business. Cloud computing gets a good chance to rise from the difficult business environment, and triggers a technology-innovated new business model to help companies expand and reduce IT resources elastically, as paying for the utilities such as water, electricity, according to the actual use. This study mainly applies the six major steps in scenario analysis developed by Stanford Research Institute (SRI), and focuses on the topic: “2020 Taiwan's Cloud Computing Technology Foresight.” This study first, finds out the focus of policy-developing issues and key decision-making factors of cloud computing industry as the essential elements to conduct scenario analysis, and then analyzes primary data, including interviews with experts, and questionnaires, and secondary data, including industry reports, books, websites, etc, in order to get the key decision factor (KDF) and the external driving forces. After identifying driving groups with high degree of uncertainty and impact according to the result of the survey with experts, three axes are selected to stand for uncertainty: “changes in market,” “changes in institution,” and “changes in technique.” This study constructs 8 (=23) kinds of basic scenarios with these three axes, and then ask experts to select the most optimistic, the most pessimistic, and the most likely happened scenarios objectively and respectively: “be the only leader,” “fall under the cloud,” and “surging to compete.” Finally, this study tries to find adaptive strategies based on these three scenarios for the future development of cloud computing industry in Taiwan as references.
author2 Cheng, Li-Ping
author_facet Cheng, Li-Ping
Chen, Jung-Nan
陳榮男
author Chen, Jung-Nan
陳榮男
spellingShingle Chen, Jung-Nan
陳榮男
The Technology Foresight of Cloud Computing Industry on 2020 Taiwan: An Application of Scenario Analysis
author_sort Chen, Jung-Nan
title The Technology Foresight of Cloud Computing Industry on 2020 Taiwan: An Application of Scenario Analysis
title_short The Technology Foresight of Cloud Computing Industry on 2020 Taiwan: An Application of Scenario Analysis
title_full The Technology Foresight of Cloud Computing Industry on 2020 Taiwan: An Application of Scenario Analysis
title_fullStr The Technology Foresight of Cloud Computing Industry on 2020 Taiwan: An Application of Scenario Analysis
title_full_unstemmed The Technology Foresight of Cloud Computing Industry on 2020 Taiwan: An Application of Scenario Analysis
title_sort technology foresight of cloud computing industry on 2020 taiwan: an application of scenario analysis
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/52611523184139236893
work_keys_str_mv AT chenjungnan thetechnologyforesightofcloudcomputingindustryon2020taiwananapplicationofscenarioanalysis
AT chénróngnán thetechnologyforesightofcloudcomputingindustryon2020taiwananapplicationofscenarioanalysis
AT chenjungnan 2020niántáiwānyúnduānyùnsuànchǎnyèjìshùqiánzhānqíngjìngfēnxīfǎzhīyīngyòng
AT chénróngnán 2020niántáiwānyúnduānyùnsuànchǎnyèjìshùqiánzhānqíngjìngfēnxīfǎzhīyīngyòng
AT chenjungnan technologyforesightofcloudcomputingindustryon2020taiwananapplicationofscenarioanalysis
AT chénróngnán technologyforesightofcloudcomputingindustryon2020taiwananapplicationofscenarioanalysis
_version_ 1718049820035252224