Muutke küpsiste eelistusi

E-raamat: Meta-Analytic Organization: Introducing Statistico-Organizational Theory [Taylor & Francis e-raamat]

  • Formaat: 296 pages
  • Ilmumisaeg: 15-Aug-2010
  • Kirjastus: Routledge
  • ISBN-13: 9781315699424
Teised raamatud teemal:
  • Taylor & Francis e-raamat
  • Hind: 240,04 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 342,91 €
  • Säästad 30%
Meta-Analytic Organization: Introducing Statistico-Organizational TheorySuurem pilt
  • Formaat: 296 pages
  • Ilmumisaeg: 15-Aug-2010
  • Kirjastus: Routledge
  • ISBN-13: 9781315699424
Teised raamatud teemal:
Taylor & Francis e-raamatudRohkem infot Taylor & Francis e-raamatute kohta
Raamatu kodulehekülg: https://www.taylorfrancis.com/books/9781315699424
'Garbage in, garbage out' often applies to the data that managers rely on to make business decisions when such data are distorted by sampling and measurement errors. Drawing primarily from meat-analysis methodology, Donaldson (Australian School of Business, U. of New South Wales, Sydney) presents a new perspective on traditional organizational theory issues that emphasizes data limitations rather than management failures. Presenting statistico- organizational theory as an open architecture that can be built upon, he explains how errors in managerial inferences arise from data whose properties are shaped by organizational variables, e.g., size, and how these errors can be predicted and controlled. Equations are relegated to the final section, likely to the relief of many human resources management practitioners and students. Annotation ©2010 Book News, Inc., Portland, OR (booknews.com)
List of Tables and Figures
ix
Foreword xi
Frank Schmidt
Preface xiii
Part I The Vision for a New Organizational Theory
1 Creating Organizational Theory From Methodological Principles
3(27)
Methodological Principles as Foundations for Organizational Theory
4(6)
The Theoretical Structure of Statistico-Organizational Theory
10(5)
Managerial Errors
15(4)
Overview of Statistico-Organizational Theory
19(11)
2 The Deep Structure of Data
30(19)
Cognitive Positivism
30(3)
The Methodological Philosophy Underlying Meta-Analysis
33(7)
Hierarchy in Inquiry
40(2)
Continuities of New Theory With Prior Organizational Theory Research
42(7)
Part II The Sources of Error
3 Managerial Errors From Small Numbers
49(17)
The Law of Small Numbers
50(6)
Inference and the Nature of What is Counted
56(1)
Errors Caused by Small Organizational Size
56(4)
Weak Inference and Organizational Mortality
60(1)
International Comparative Advantage in Inference
61(2)
Relationships With Some Previous Organizational Theories
63(2)
Conclusions
65(1)
4 Data Disaggregation and Managerial Errors
66(17)
The Fallacy of Disaggregation
66(3)
Cycles of Dysfunctional Control
69(3)
Inference and the Management of Human Resources
72(2)
The Problem of Aggregating Previous Inferences
74(4)
The Fallacy of Immediacy
78(1)
Organizational Structure for Inference
79(3)
Conclusions
82(1)
5 Measurement Error of Profit
83(24)
The Problem of Measurement Error
84(2)
Measurement Error of Profit
86(8)
Measurement Error of Profitability Ratios
94(3)
Measurement Error Caused by Time Rates
97(1)
Measurement Error Caused by Control Variables
98(2)
Measurement Error Caused by Comparison With Standard
100(3)
Measurement Error in Contingency Misfit Analyses
103(1)
Low Reliability Not Readily Increased
104(2)
Conclusions
106(1)
6 Quantifying the Measurement Error of Profit
107(14)
Formal Analysis of Measurement Error of Profit
107(7)
Sensitivity of Profit Reliability
114(3)
Causal Model of the Determinants of Profit Reliability
117(2)
Measurement Error of Growth of Sales
119(1)
Conclusions
119(2)
7 Measurement and Sampling Errors in the M-Form and Strategic Niches
121(17)
Errors in M-Form Divisional Profitability
121(13)
Errors in Niche Strategy Analysis
134(3)
Conclusions
137(1)
8 Errors From Range Restriction and Extension
138(9)
Errors From Range Restriction in Organizational Management
139(4)
Errors From Range Restriction in Organizational Misfit and Fit
143(2)
Errors From Range Extension
145(1)
Conclusions
145(2)
9 Confounding by the Performance Variable
147(18)
Severe Confounding Produced by Weak Spurious Correlations
148(1)
Confounding by Definitional Connections
149(9)
Confounding by Reciprocal Causality: Performance-Driven Organizational Change
158(5)
Confounds and Other Sources of Error
163(1)
Conclusions
164(1)
10 Controlling for Confounding by Using Organizational Experiments
165(12)
Confounding as a Source of Error
166(1)
Experiments With Control Groups
167(3)
Experiments in Organizations
170(3)
Bias in Organizational Experiments
173(3)
Conclusions
176(1)
11 Controlling for Confounding by Data Aggregation
177(24)
Summary
177(1)
Controlling Confounds by Averaging
178(2)
Confounding by Multiple Causes
180(3)
Confounding in Multiple Causes of Organizational Performance
183(7)
Confounds Readily Eliminated
190(3)
Controlling Confounds Through Averaging in Organizational Management
193(3)
Conclusions
196(5)
Part III Integration
12 Errors Not Self-Correcting
201(12)
Repeated Operation of Errors
201(2)
Overall Error From Multiple Error Sources
203(8)
Conclusions
211(2)
13 Equations of Statistico-Organizational Theory
213(24)
True Correlation
214(3)
Measurement Error
217(4)
Range Restriction and Range Extension
221(2)
Combination of Measurement Error and Range Restriction or Extension
223(2)
Confounding
225(5)
Overall Error Without Sampling Error
230(1)
Sampling Error
231(1)
Overall Error With Sampling Error
232(3)
Conclusions
235(2)
14 How Managers Can Reduce Errors
237(8)
Reducing Sampling Error
237(1)
Reducing Measurement Error
238(3)
Reducing Errors From Range Artifacts
241(1)
Reducing Errors From Confounding
242(3)
15 Conclusions
245(8)
Situations That Lead to Errors
246(5)
Reflections and Limitations
251(2)
Appendix 253(2)
References 255(6)
Name Index 261(4)
Subject Index 265(6)
About the Author 271
Lex Donaldson is a professor of management in organizational design at the Australian School of Business, University of New South Wales, Sydney. His work includes a significant contribution to the development of contingency theory as well as founding stewardship theorywhich has become a major influence in the area of corporate governance. He is the author of six books about organizations and management, among them: The Contingency Theory of Organizations, Performance-Driven Organizational Change, and For Positivist Organization Theory. In 2003 he received one of the highest possible accolades: a worldwide survey of ninety-five academics from the Academy of Management Learning and Education nominated his work on the Contingency Theory of Organizational Structures as one of the worlds top seventy-three management theories, ranked on criteria of importance, usefulness to management practice, and scientific validity.
Püsilink: https://www.kriso.ee/db/9781315699424_pe.html
Märksõnad: