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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 財務金融學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/84196
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dc.contributor.advisor石百達(Bai-Da Shi)
dc.contributor.authorKai-Chi Leien
dc.contributor.author雷凱淇zh_TW
dc.date.accessioned2023-03-19T22:06:08Z-
dc.date.copyright2022-07-12
dc.date.issued2022
dc.date.submitted2022-06-30
dc.identifier.citationDess, G. G., & Davis, P. S. (1984). Porter's (1980) generic strategies as determinants of strategic group membership and organizational performance. Academy of Management journal, 27(3), 467-488. Kotha, S., & Vadlamani, B. L. (1995). Assessing generic strategies: an empirical investigation of two competing typologies in discrete manufacturing industries. Strategic Management Journal, 16(1), 75-83. Nandakumar, M. K., Ghobadian, A., & O'Regan, N. (2011). Generic strategies and performance–evidence from manufacturing firms. International Journal of productivity and performance management. Kumar, K., Subramanian, R., & Yauger, C. (1997). Pure versus hybrid: performance implications of Porter's generic strategies. Health care management review, 47-60. Parker, B., & Helms, M. M. (1992). Generic strategies and firm performance in a declining industry. MIR: Management International Review, 23-39. Saka, C., & Jimichi, M. (2017). Evidence of inequality from accounting data visualization. 中華會計學刊, 13(2), 193-234. Chang, R., Ghoniem, M., Kosara, R., Ribarsky, W., Yang, J., Suma, E., ... & Sudjianto, A. (2007, October). Wirevis: Visualization of categorical, time-varying data from financial transactions. In 2007 IEEE symposium on visual analytics science and technology (pp. 155-162). IEEE. Sorenson, E., & Brath, R. (2013, July). Financial visualization case study: Correlating financial timeseries and discrete events to support investment decisions. In 2013 17th International Conference on Information Visualisation (pp. 232-238). IEEE. Huang, M. L., Liang, J., & Nguyen, Q. V. (2009, July). A visualization approach for frauds detection in financial market. In 2009 13th international conference information visualisation (pp. 197-202). IEEE. Tang, F., Hess, T. J., Valacich, J. S., & Sweeney, J. T. (2014). The effects of visualization and interactivity on calibration in financial decision-making. Behavioral Research in Accounting, 26(1), 25-58. Didimo, W., Liotta, G., Montecchiani, F., & Palladino, P. (2011, March). An advanced network visualization system for financial crime detection. In 2011 IEEE Pacific visualization symposium (pp. 203-210). IEEE. Keim, D. A., Nietzschmann, T., Schelwies, N., Schneidewind, J., Schreck, T., & Ziegler, H. (2006). A spectral visualization system for analyzing financial time series data. In Eurographics/IEEE TCVG Symposium on Visualization (pp. 195-202). Roberts, P. (2003). Information visualization of the stock market ticks: toward a new trading interface (Doctoral dissertation, Massachusetts Institute of Technology). 許惟傑. (2021). 台灣半導體產業指標.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/84196-
dc.description.abstract基於產業的特質,不同產業使用不同經營策略帶來的營運效果應不一致。此外,在產業內部裡可能因為有分上下游或其他因素,產業內也有一定的差異性。本研究基於Porter (1980)的企業競爭策略理論,探討台灣產業及企業的策略選擇和績效的相關性。本研究以台灣的上市、上櫃公司做為樣本,並剔除金融業,樣本期間為2010年至2020年。本研究將營業收入作為衡量市場及企業規模的指標,並將毛利率作為議價能力的高低;我們利用這兩個變數來探討各產業及公司的營運策略及特性。此外,本研究使用市值來觀察市場的重要性,並使用ROA觀察營運效率。最後,我們使用氣泡圖作為視覺化工具來協助我們的研究。實證結果發現,台灣不同的產業具有相異的特性。不同產業及公司使用的策略不盡相同,策略對其營運效率及市場重要性的影響也具差異。zh_TW
dc.description.abstractBased on the different characteristics of industries, the results of business strategies applied by different industries should be inconsistent. In addition, there may be differences within the industry due to different stages in the industry chain or some other factors. This study is based on Porter's (1980) theory of generic strategies to explore the correlation between strategic choices and the performance of Taiwanese industries and firms. The sample includes Taiwanese listed and OTC companies from 2010 to 2020 and excludes the financial industry. This thesis uses operating income as a measure of the markets and enterprises’ size, and uses gross margin as the level of bargaining power; we use these two variables to explore the strategies and characteristics of various industries and companies. Further, the study uses market capitalization to observe market importance and ROA to observe operational efficiency. Lastly, the study uses bubble charts as a visualization tool to assist the research. The empirical results show that different industries in Taiwan have different characteristics. Different industries (companies) use different strategies, and strategies also have different effects on their efficiency and market importance.en
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Previous issue date: 2022
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dc.description.tableofcontents口試委員審定書 i 致謝 ii 摘要 iii Abstract iv 目錄 v 圖目錄 vii 表目錄 x 第一章 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 2 第二章 文獻回顧 3 2.1 Porter (1980)企業競爭策略 3 2.2 視覺化在現今時代的發展及重要性 4 第三章 研究假說及資料來源 6 3.1 研究假說 6 3.2 樣本選取及資料來源 6 第四章 研究方法 7 4.1 視覺化工具建構方法 7 4.2 台灣50指數持有占比前三大產業 8 4.3 各產業毛利率標準差平均之排名計算方法 9 第五章 實證結果 11 5.1 全產業特性概況 11 5.2 台灣50重要產業 ─ 半導體業 15 5.3 台灣50重要產業 ─ 其他電子業 22 5.4 毛利率標準差排名第一高之產業 ─ 生技醫療 27 5.5 毛利率標準差排名第一低之產業 ─ 油電燃氣業 31 第六章 結論與建議 34 參考文獻 36 附錄 38
dc.language.isozh-TW
dc.subject視覺化zh_TW
dc.subject麥可·波特zh_TW
dc.subject企業競爭策略zh_TW
dc.subject產業zh_TW
dc.subjectgeneric strategiesen
dc.subjectMichael Eugene Porteren
dc.subjectindustryen
dc.subjectvisualizationen
dc.title以視覺化工具分析台灣產業策略及特性zh_TW
dc.titleThe Findings of Taiwan's Industrial Strategies and Characteristics with Visualization Toolsen
dc.typeThesis
dc.date.schoolyear110-2
dc.description.degree碩士
dc.contributor.oralexamcommittee盧佳琪(Jia-Qi Lu),洪偉峰(Wei-Feng Hong)
dc.subject.keyword麥可·波特,企業競爭策略,視覺化,產業,zh_TW
dc.subject.keywordMichael Eugene Porter,generic strategies,visualization,industry,en
dc.relation.page41
dc.identifier.doi10.6342/NTU202201130
dc.rights.note同意授權(限校園內公開)
dc.date.accepted2022-07-03
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept財務金融學研究所zh_TW
dc.date.embargo-lift2022-07-12-
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