High Commitment Workplaces

by Stephen Fink

Overview

Commitment in the workplace has been an enduring concern of managers at all levels. On the basis of extensive research and practical work with corporations, Stephen L. Fink establishes a sound basis (Commitment Diagnostic Instrument) for diagnosing essential characteristics of employee commitment and, importantly, offers practical guidance for remedying situations in which commitment levels constitute problems.

Fink examines the differing experiences of corporations with dissimilar personnel approaches. His analysis involves consideration of common, but highly relevant, factors including age, length of service, and educational level. Types of commitments are differentiated, for example, commitment to co-workers is distinguished from commitment to one's specific performance. Managers are guided on the approaches conducive to establish, monitor, and strengthen commitment as a means to a qualitatively better and more productive workplace.

Product Details

ISBN-13:	9780899307404
Publisher:	Bloomsbury Academic
Publication date:	05/20/1992
Pages:	232
Product dimensions:	6.00(w) x 9.00(h) x 0.69(d)
Lexile:	1380L (what's this?)

About the Author

STEPHEN L. FINK is Professor of Management at the Whittemore School of Business and Economics at the University of New Hampshire in Durham. In addition to his research and teaching, Dr. Fink is a consultant for corporations and is the author of articles and textbooks in organizational behavior and management.

Table of Contents

Preface
The Importance of Commitment
How to Think About Commitment
Historical Roots
How to Measure and Study Commitment
What the Study Showed
What Was Learned from the Research
Commitment and Organizational Development
Commitment Profiles
Building Commitment in Individual Employees
Building Co-Worker Commitment
Building a High Commitment System
Some Current Issues for Managers
Appendix A: Means and Distributions of CDI Scores for the Research Samples
Appendix B: Some Basic Statistical Concepts
References
Index