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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
主論文-What Theory is Not,
    Theorizing Is
主論文-What Theory is Not,
    Theorizing Is
主論文-What Theory is Not,
    Theorizing Is
主論文-What Theory is Not,
    Theorizing Is
主論文-What Theory is Not,
    Theorizing Is
主論文-What Theory is Not,
    Theorizing Is
主論文-What Theory is Not,
    Theorizing Is
主論文-What Theory is Not,
    Theorizing Is
主論文-What Theory is Not,
    Theorizing Is
主論文-What Theory is Not,
    Theorizing Is
主論文-What Theory is Not,
    Theorizing Is
主論文-What Theory is Not,
    Theorizing Is
主論文-What Theory is Not,
    Theorizing Is
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)
畢業專題-高效能高節能手機定位系
      統-畫面圖1
老師提供文章中所提:SCI2 TOOL
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.
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.
BETTER STORIES AND BETTER
CONSTRUCTS: 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
BETTER STORIES AND BETTER
CONSTRUCTS: 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
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.
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。
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
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
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)
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.
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
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
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)
MAKING FAST STRATEGIC
      DECISIONS IN HIGH-VELOCITY
            ENVIRONMENTS
   重點內容:A Model of Strategic Decision Speed in High-
    Velocity Environments
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.
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論文閱讀報告 更新內容

  • 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)
  • 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 BETTER CONSTRUCTS: 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 BETTER CONSTRUCTS: 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.