論文閱讀報告 更新內容
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Transcript of 論文閱讀報告 更新內容
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.
報告完畢 敬請指教