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論文閱讀報告 更新內容

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  • 1. 論文閱讀報告 (更新內容)指導教授: 李元德 教授學生: 陳竹正學號: R78162033班級: 經營管理研究所博士班 一 年級
  • 2. 主論文-What Theory is Not, Theorizing Is
  • 3. 主論文-What Theory is Not, Theorizing Is
  • 4. 主論文-What Theory is Not, Theorizing Is
  • 5. 主論文-What Theory is Not, Theorizing Is
  • 6. 主論文-What Theory is Not, Theorizing Is
  • 7. 主論文-What Theory is Not, Theorizing Is
  • 8. 主論文-What Theory is Not, Theorizing Is
  • 9. 主論文-What Theory is Not, Theorizing Is
  • 10. 主論文-What Theory is Not, Theorizing Is
  • 11. 主論文-What Theory is Not, Theorizing Is
  • 12. 主論文-What Theory is Not, Theorizing Is
  • 13. 主論文-What Theory is Not, Theorizing Is
  • 14. 主論文-What Theory is Not, Theorizing Is
  • 15. Mapping(USPTO) Patent Data using Overlays to Google Maps 重點: 將“專利資料”統計重疊呈現於Google地圖之上。 心得:  從WOS-SSCI下載的資料,通訊作者部份有包含國 家,可將其統計重疊呈現於Google地圖之上。  可利用個人所指導的畢業專題-高效能高節能手機 定位系統 之程式碼改寫。(畫面如後)  關鍵在: 需要所有資料的座標,而下載下來的大量 資料只有國家或城市名。  或利用老師提供文章中所提:SCI2 TOOL: https://sci2.cns.iu.edu/user/index.php (畫面如後)
  • 16. 畢業專題-高效能高節能手機定位系 統-畫面圖1
  • 17. 老師提供文章中所提:SCI2 TOOL
  • 18. THEORY BUILDING FROM CASES: OPPORTUNITIES AND CHALLENGES 第一段最後一行為此文之重心: …, we focus on the related research strategy of theory building from cases, particularly multiple cases.
  • 19. THEORY BUILDING FROM CASES: OPPORTUNITIES AND CHALLENGES Conclusion: 結論之重點  Theory building from case studies is an increasingly popular and relevant research strategy……  Challenge: research relying on rich qualitative data is becoming more common.  Mitigate(減輕)through precise language and thoughtful research design: (此部份為作者提出之方法)  Careful justification of theory building  Theoretical sampling of cases  Interviews that limit informant bias  Rich presentation of evidence in tables and appendixes  Clear statement of theoretical arguments  The result is fresh theory that bridges well from rich qualitative evidence to mainstream deductive research.
  • 20. BETTER STORIES AND BETTERCONSTRUCTS: THE CASE FOR RIGOR(精密 的) AND COMPARATIVE LOGIC 1991 stanford University 第一段: I focused on multiple cases and how to develop theory from them, but I paid scant attention to the important role of single- case research. -> redressing that imbalance 作者此文重視“single-case research”的重要
  • 21. BETTER STORIES AND BETTERCONSTRUCTS: THE CASE FOR RIGOR AND COMPARATIVE LOGIC此篇文章之整體架構 第一段 ARE SINGLE-CASE STUDIES SUPERIOR? ARE THE CLASSIC STUDIES LOOSE SINGLE CASES? IS “BETTER STORIES VERSUS BETTER CONSTRUCTS” A FALSE DICHOTOMY? 錯誤的二分法->呼應題目 CONCLUSION
  • 22. BETTER STORIES AND BETTER CONSTRUCTS: THE CASE FOR RIGOR AND COMPARATIVE LOGIC閱讀心得重點: … good story telling is an essential first step, but good theory is fundamentally the result of rigorous (精密的、正確的)methodology and comparative, multiple-case logic. This is as evident in the classic case studies as it is in contemporary multiple-case research.
  • 23. Better Stories, Not Better Constructs, to Generate Better Theory: A Rejoinder to Eisenhardt 1991 Brigham Young University 1989 Eisenhardt presented an approach to building theory using case studies, which summarized a hybrid form of case research…… 相關資料: http://www.getcited.org/pub/103368440 Rejoinder:答辯,回答,應答; 還嘴,頂嘴此篇文章應為上一篇之回應文。
  • 24. Better Stories, Not Better Constructs, to Generate Better Theory: A Rejoinder to Eisenhardt 第一段 第四行:第一段重點 For us this approach is paradoxical because although its purported purpose is theory generation, it includes many of the attributes of hypothesis-testing research. ->如老師註解:testing != building / creation ->rejoinder
  • 25. Better Stories, Not Better Constructs, to Generate Better Theory: A Rejoinder to Eisenhardt此篇文章整體架構 第一段 Case(s) Versus Case Study research Deep Case Studies Versus Surface Case Studies Telling Good Stories Versus Creating Good Constructs Summary Comments
  • 26. Better Stories, Not Better Constructs, to Generate Better Theory: A Rejoinder to Eisenhardt Summary Comments (結論重點)  …Our goal has not been to discourage such efforts but rather to point out what researchers miss if they overlook the advantages of the classic case study.  …we hope that many scholars will continue to try to tell good stories that have theoretical import.(兩者兼顧)
  • 27. Building Theories from Case Study Research 文章重點:  This paper describes the process of inducting theory using case studies – from (specifying the research questions) to (reaching closure). 此句寫在摘要  The purpose of this article is to (describe the process of theory building from case studies). 此句寫在結論 Process:  Similar to hypothesis-testing research: problem definition and construct validation  Unique to the inductive, case-oriented process: within-case analysis and replication logic 摘要結論: …(the tests of good theory) and (convincing grounding in the evidence) are the key criteria for evaluating this type of research.
  • 28. Building Theories from Case Study Research 文章架構 Abstract Background The Case Study Approach Building Theory from Case Study Research  Getting Started  Selecting Cases  Crafting Instruments and Protocols  Entering the Field  Analyzing Within-Case Data  Searching for Cross-Case Patterns  Shaping Hypotheses  Enfolding Literature  Reaching Closure Comparison with Other Literature Discussion  Strengths of Theory Building from Cases  Weaknesses of Theory Building from Cases  Applicability  Evaluation Conclusions
  • 29. Building Theories from Case Study Research 結論重點 首先強調表格一的重要,表格一為: Process of Building Theory from Case Study Research: 從個案研究建立理論的程序 Getting Started->Selecting Cases->Crafting Instruments and Protocols->Entering the Field->Analyzing Data->Shaping Hypotheses->Enfolding Literature->Reaching Closure 最後強調: the accumulation of knowledge involves a continual cycling between theory and data. 知識的累積包含理論和資料的持續循環
  • 30. MAKING FAST STRATEGIC DECISIONS IN HIGH-VELOCITY ENVIRONMENTS 本文重點:  This inductive study of eight microcomputer firms led to propositions exploring that question. -> How do executive teams make rapid decisions in the high-velocity microcomputer industry?(此部份寫在摘要)  This work is park of a larger research program on strategic decision making in high- velocity environments.(此部份寫在結論)
  • 31. MAKING FAST STRATEGIC DECISIONS IN HIGH-VELOCITY ENVIRONMENTS 重點內容:A Model of Strategic Decision Speed in High- Velocity Environments
  • 32. MAKING FAST STRATEGIC DECISIONS IN HIGH-VELOCITY ENVIRONMENTS 結論重點: The results link fast decisions to several factors, including 1(the use of real-time information), 2(multiple alternatives), 3(counselors), 4(consensus with qualification), and 5(decision integration). The microcomputer industry is admittedly an extreme situation…. ->..if the ideas presented here survive empirical tests, they offer lessons for all organizations as they face an increasingly turbulent world.
  • 33. 報告完畢 敬請指教

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