The Meta-Analytic Organization: Introducing Statistico-Organizational Theory develops new organizational theory based upon ideas from statistics and methodology.
There have been previous organizational theories based on academic disciplines such as biology, economics, and sociology. Statistico-organizational theory uniquely constructs a new organizational theory derived from ideas in statistics and psychometrics. The core idea is that errors known to occur in social science research must also occur when managers look at their data and seek to make inferences about cause and effect. Statistico-organizational theory uses methodological principles to predict when errors will occur and how great they will be.
The book offers new theoretical propositions about organizational strategy and structure, human resource management, international business and franchising.
Part I: The Vision for a New Organizational Theory 1. Creating Organizational Theory From Methodological Principles 2. The Deep Structure of Data Part II: The Sources of Error 3. Managerial Errors From Small Numbers 4. Data Disaggregation and Managerial Errors 5. Measurement Error of Profit 6. Quantifying the Measurement Error of Profit 7. Measurement and Sampling Errors in the M-Form and Strategic Niches 8. Errors From Range Restriction and Extension 9. Confounding by the Performance Variable 10. Controlling for Confounding by Using Organizational Experiments 11. Controlling for Confounding by Data Aggregation Part III: Integration 12. Errors Not Self-Correcting 13. Equations of Statistico-Organizational Theory 14. How Managers Can Reduce Errors15. Conclusions