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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 管理學院企業管理專班(Global MBA)
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59501
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor曹承礎(Seng-Cho Chou)
dc.contributor.authorSeah-Li Ngen
dc.contributor.author黃雪莉zh_TW
dc.date.accessioned2021-06-16T09:25:48Z-
dc.date.available2017-07-20
dc.date.copyright2017-07-20
dc.date.issued2017
dc.date.submitted2017-06-08
dc.identifier.citation[1] Klaus Schwab (2015), “Methodology,” World Economic Forum. (Retrieve from http://reports.weforum.org/global-competitiveness-report-2015-2016/methodology/)
[2] Ciara Browne, Attilio Di Battista, Thierry Geiger and Tania Gutknecht (2015), “Introduction,” World Economic Forum. (Retrieve from http://reports.weforum.org/global-competitiveness-report-2015-2016/introduction-3/)
[3] Google (2017), “Google Trends Help Center”. (Retrieve from https://support.google.com/trends/?hl=en#topic=6248052)
[4] Douglas W. Hubbard (2011), “Pulse: The New Science of Harnessing Internet Buzz to Track Threats and Opportunities,” 73-84.
[5] Hyunyoung Choi and Hal Varian (2009), “Predicting the Present with Google Trends,” Google Research Blog. (Retrieved from https://static.googleusercontent.com/media/www.google.com/en//googleblogs/pdfs/google_predicting_the_present.pdf)
[6] Yan Carrière-Swallow and Felipe Labbé (2011), “Nowcasting with Google Trends in an Emerging Market,” Journal of Forecasting, 32(4), 289-298. (Retrieved from http://onlinelibrary.wiley.com/doi/10.1002/for.1252/abstract)
[7] Dr. Jacques Bughin (2011), “Online Buzz and Searches as Telecoms Brand Performance Indicators,” SSRN Electronic Journal, August. (Retrieved from https://poseidon01.ssrn.com/delivery.php?ID=249000000081126018123082120084084065040082022002039016066110025100116080109008112095122031018004012045098001029111118120109123051027045019081116102119087103029028052062122123082081070095118083115078070099083073010020023095008089090110003116084066&EXT=pdf)
[8] Tobias Preis, Helen Susannah Moat and H. Eugene Stanley (2013), “Quantifying Trading Behavior in Financial Markets in Google Trends,” Scientific Reports, 3:1684. (Retrieved from http://www.nature.com/articles/srep01684)
[9] Ladislav Kristoufek (2013), “BitCoin Meets Google Trends and Wikipedia: Quantifying the Relationship between Phenomena of the Internet Era,” Scientific Reports, 3:3415. (Retrieved from http://www.nature.com/articles/srep03415)
[10] Liwen Vaughan and Esteban Romero-Frías (2013), “Web Search Volume as a Predictor of Academic Fame: An Exploration of Google Trends,” Journal of the Association for Information Science and Technology, 65(4), 707-720. (Retrieved from http://onlinelibrary.wiley.com/doi/10.1002/asi.23016/abstract)
[11] Sungjin Cho, Chang Hwan Sohn, Min Woo Jo, Soo-Yong Shin, Jae Ho Lee, Seoung Mok Ryoo, Won Young Kim and Dong-Woo Seo (2013), “Correlation between National Influenza Surveillance Data and Google Trends in South Korea,” Journal of PLOS ONE, 8(12), e81422. (Retrieved from http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0081422)
[12] Damien Challet and Ahmed Bel Hadj Ayed (2014), “Do Google Trend data contain more predictability than price returns?,” SSRN Electronic Journal, March. (Retrieved from https://poseidon01.ssrn.com/delivery.php?ID=009020074123066092027083108004094091037009014088040058108071099025082081029094000007011034030127028123007076070078005103020016109073061058077064088018088031113124056028000027082070080126109006118100000112005003068113008097020088094001102121090125075&EXT=pdf)
[13] Seongwook Youn and Hyun-chong Cho (2015), “Nowcast of TV Market using Google Trend Data,” Journal of Electrical Engineering and Technology, 11(1), 227-233. (Retrieved from http://www.jeet.or.kr/LTKPSWeb/uploadfiles/be/201511/191120151358167035000.pdf)
[14] Le T. P. Nghiem, Sarah K. Papworth, Felix K. S. Lim and Luis R. Carrasco (2016), “Analysis of the Capacity of Google Trends to Measure Interest in Conservation Topics and the Role of Online News,” Journal of PLOS ONE, 11(3), e0152802. (Retrieved from http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0152802&type=printable)
[15] Klaus Schwab (2016), “The Global Competitiveness Report 2016-2017,” World Economic Forum. (Retrieved from http://www3.weforum.org/docs/GCR2016-2017/05FullReport/TheGlobalCompetitivenessReport2016-2017_FINAL.pdf)
[16] Gennaro Iasevoli and Marta Massi (2012), “The relationship between sustainable business management and competitiveness: research trends and challenge,” International Journal of Technology Management, 58(1/2), 32-48. (Retrieved from http://www.inderscienceonline.com/doi/pdf/10.1504/IJTM.2012.045787)
[17] Google (2016), “Google Trends Top Chart”. (Retrieved from https://trends.google.com/trends/topcharts#geo&date=2016)
[18] Wikipedia (2017), “List of Buzzwords”. (Retrieved from https://en.wikipedia.org/wiki/List_of_buzzwords)
[19] World Economic Forum (2016), “Competitiveness Library”. (Retrieved from http://reports.weforum.org/global-competitiveness-report-2015-2016/competitiveness-library/)
[20] World Economy Forum (2017), “Homepage”. (Retrieved from https://www.weforum.org/)
[21] Google (2017), “Google Scholar”. (Retrieved from https://scholar.google.com.tw/)
[22] John H. McDonald (2014), “Multiple Regression,” Handbook of Biological Statistics, 3, 229-237. (Retrieved from http://www.biostathandbook.com/multipleregression.html)
[23] Surbhi S (2016), “Difference between Correlation and Regression,” Key Differences. (Retrieved from http://keydifferences.com/difference-between-correlation-and-regression.html)
[24] Robert G. Eccles and George Serafeim (2011), “Leading and Lagging Countries in Contributing to a Sustainable Society,” Harvard Business School Working Knowledge. (Retrieved from http://hbswk.hbs.edu/item/leading-and-lagging-countries-in-contributing-to-a-sustainable-society)
[25] Best Value Schools (2017), “What is a STEM Degree?”. (Retrieved from http://www.bestvalueschools.com/faq/what-is-a-stem-degree/)
[26] Rebecca Harrington (2015), “These are the 10 Smartest Countries in the World When It Comes to Science,” Business Insider. (Retrieved from http://www.businessinsider.com/most-technological-countries-lag-behind-in-science-2015-12/#6-greece-spent-only-008-of-its-gdp-on-research-in-2013-which-was-one-of-the-lowest-reported-among-developed-countries-it-might-explain-why-its-stem-degree-rate-dropped-from-28-in-2002-to-26-in-2012-5)
[27] Theirry Geiger (2015), “The Top 10 Nations for Bridging the Digital Divide,” World Economic Forum. (Retrieved from https://www.weforum.org/agenda/2015/04/which-nations-are-top-for-digital/)
[28] Akhil Ranjan (2015), “'Digital India' Lags Behind in World Internet Race,” BBC Monitoring. (Retrieved from http://www.bbc.com/news/world-asia-india-34356300)
[29] Bhaskar Chakravorti, Ravi Shankar Chaturvedi and Benjamin Mazzotta (2016), “The Countries That Would Profit Most from a Cashless World,” Harvard Business Review. (Retrieved from https://hbr.org/2016/05/the-countries-that-would-profit-most-from-a-cashless-world)
[30] Lim Yan Liang (2017), “Leading the Way in Mobile Payments,” The Straits Times. (Retrieved from http://www.straitstimes.com/asia/east-asia/leading-the-way-in-mobile-payments)
[31] Matt Weinberger (2015), “The Cloud Wars Explained: Why Nobody Can Catch Up with Amazon,” Business Insider. (Retrieved from http://www.businessinsider.com/why-amazon-is-so-hard-to-topple-in-the-cloud-and-where-everybody-else-falls-2015-10)
[32] Galexia Consulting (2013), “2013 BSA Global Cloud Computing Scorecard,” BSA The Software Alliance. (Retrieved from http://cloudscorecard.bsa.org/2013/countries.html)
[33] Investopedia (2017), “Four Asian Tigers”. (Retrieved from http://www.investopedia.com/terms/f/four-asian-tigers.asp)
[34] Andrew W. Wyckoff and Kurt Vandenberghe (2016), “The OECD Science, Technology and Innovation Outlook 2016 (Megatrends affecting science, technology and innovation),” Organisation for Economic Co-operation and Development. (Retrieved from https://www.oecd.org/sti/Megatrends%20affecting%20science,%20technology%20and%20innovation.pdf)
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/59501-
dc.description.abstract現今,每個經濟個體在強調對實現世界競爭力之重要性有所提升,且其常與近期在網路搜尋引擎上所進行的流行實用商業詞彙搜尋的增長同一時期出現。本研究的目的在於調查流行實用商業詞彙流行度的搜尋與世界經濟競爭力表現之間的關係。我們以更具體的經濟脈絡與統計學之方法來檢驗出兩者之運用可能性,一是從谷歌搜尋趨勢得知逐步流行的相關實用商業詞彙, 以及藉由世界經濟論壇中的每年全球競爭性報告所選擇的全球競爭力指數。在本文中,我們獲得了有意義性的結果,即兩個數據透過實驗和採用那些高度排名的國家來做出評估,亦顯示出它們有顯著地相互關聯。最後在所有的情況下,我們的研究模式產生了新的方向,且對於驗證實用商業詞彙流行度之搜尋提供了有用的資訊,讓其可以成為世界競爭力表現的指標。zh_TW
dc.description.abstractToday, every economy entity towards a rise in stress importance of world competitiveness is often contemporaneous with an increase in recent trendy buzzword search interest conducted on web search engines. The purpose of this study was to investigate the relationship between the buzzword search popularity and world economy competitiveness performance. In the more specifically economic context and statistical approach, we examined the possibility of both using the related buzzword web search interest over time from Google Trends and the selected Global Competitiveness Index from annual Global Competitiveness Report of World Economic Forum. In this paper, we obtained meaningful results which both data exhibit significant correlation through experimentation and also assessed with those highly ranked countries. Finally in all cases, our research model yields new directions and adds useful information to verify buzzword search popularity can be an indicator of world competitiveness performance.en
dc.description.provenanceMade available in DSpace on 2021-06-16T09:25:48Z (GMT). No. of bitstreams: 1
ntu-106-R04749045-1.pdf: 5800174 bytes, checksum: 5b49ca8d8a21b0c68d2cabd86233f5d0 (MD5)
Previous issue date: 2017
en
dc.description.tableofcontentsMaster Thesis Certification by Oral Defense Committee i
ACKNOWLEDGEMENTS ii
中文摘要 iii
ABSTRACT iv
TABLE OF CONTENTS v
LIST OF FIGURES vii
LIST OF TABLES ix
Chapter 1 Introduction 1
1.1 Global Competitiveness Report 2
1.2 Google Trends 6
Chapter 2 Literature Reviews 10
2.1 Commerce and Markets 12
2.2 Healthcare and Life Sciences 15
2.3 Education 16
Chapter 3 Methodology 18
3.1 Dataset Collection 18
3.1.1 Global Competitiveness Report Data 18
3.1.1.1 Period of Report 18
3.1.1.2 Selection of 50 Economies Ranking 19
3.1.1.3 Choice of Four Pillars from Global Competitiveness Index 20
3.1.2 Google Trends Data 24
3.1.2.1 Global Trends Search Parameters 24
3.1.2.2 Choice of Keywords / Keyphrases 25
3.2 Relevancy of 30 Keywords 27
3.3 Statistical Model Interpretation 30
3.3.1 Correlation Coefficient, r 30
3.3.2 Multiple Linear Regression Analysis (an extension of simple linear regression) 33
3.3.3 Coefficient of Determination, R-squared (R2) 35
3.3.4 P-Value 36
3.3.5 Correlation versus Regression 37
Chapter 4 Experimental Results 38
4.1 Examining the sensitivity between the mini-GCI Score and GCI Score 38
4.2 Examining the sensitivity between the buzzwords and mini-GCI Score 41
4.3 Examining the sensitivity between the buzzwords and GCI Score 43
4.4 Examining the degree of gap in buzz search popularity for leading and lagging countries 47
4.5 Examining the sensitivity of correlation to economy ranking 56
4.6 Examining 6 significant buzzwords as indicator to economy ranking group 59
Chapter 5 Conclusion 67
References 69
Appendices 74
dc.language.isoen
dc.subject回歸模型zh_TW
dc.subject流行語zh_TW
dc.subject搜索流行度zh_TW
dc.subject全球競爭力指數zh_TW
dc.subject相關性zh_TW
dc.subjectcorrelationen
dc.subjectsearch popularityen
dc.subjectregression modelen
dc.subjectglobal competitiveness indexen
dc.subjectbuzzworden
dc.title實用商業詞彙之流行度搜索與世界競爭力關係zh_TW
dc.titleThe Relationship of Buzzword Search Popularity and World Competitivenessen
dc.typeThesis
dc.date.schoolyear105-2
dc.description.degree碩士
dc.contributor.oralexamcommittee盧信銘(Hsin-Min Lu),孔令傑(Ling-Chieh Kung)
dc.subject.keyword流行語,搜索流行度,全球競爭力指數,相關性,回歸模型,zh_TW
dc.subject.keywordbuzzword,search popularity,global competitiveness index,correlation,regression model,en
dc.relation.page85
dc.identifier.doi10.6342/NTU201700898
dc.rights.note有償授權
dc.date.accepted2017-06-09
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept企業管理碩士專班zh_TW
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