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Cited by 714

The DOI matches its Crossref record.

Hard Facts, Dangerous Half-Truths, and Total Nonsense: Profiting From Evidence-Based Management: (635442007-001)

·2006·PsycEXTRA Dataset

Abstract

The organizations have the talent...Financial incentives drive company performance...Firms must change or die. Popular axioms like these drive business decisions every day. Yet too much common management wisdom isn't wise at all--but, instead, flawed knowledge based on best that are actually poor, incomplete, or outright obsolete. Worse, legions of managers use this dubious knowledge to make decisions that are hazardous to organizational health. Jeffrey Pfeffer and Robert I. Sutton show how companies can bolster performance and trump the competition through evidence-based management, an approach to decision-making and action that is driven by hard facts rather than half-truths or hype. This book guides managers in using this approach to dismantle six widely held--but ultimately flawed--management beliefs in core areas including leadership, strategy, change, talent, financial incentives, and work-life balance. The authors show managers how to find and apply the practices for their companies, rather than blindly copy what seems to have worked elsewhere. This practical and candid book challenges leaders to commit to evidence-based management as a way of organizational life--and shows how to finally turn this common sense into common practice.

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Citations

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Metadata

Venue
PsycEXTRA Dataset
Published
2006
OpenAlex
W1534381990
Cited by
714
References
0
Type
dataset
Language
en
Open access
closed

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This page
CoChat. (2026). Citation check: Hard Facts, Dangerous Half-Truths, and Total Nonsense: Profiting From Evidence-Based Management: (635442007-001). https://app.cochat.ai/papers/10.1037/e635442007-001
The paper
Hard Facts, Dangerous Half-Truths, and Total Nonsense: Profiting From Evidence-Based Management: (635442007-001). (2006). PsycEXTRA Dataset. https://doi.org/10.1037/e635442007-001

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.