The Mathematics of Human Motivation Applying the Law of Escalating Marginal Sacrifice

Author: Hagendorf, Col
Availability: In stock
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Research & Methodology |
The Mathematics of Human Motivation is a pioneering effort to advance the theory of human motivation. It provides powerful, new direction for students of human behavior. Professor Grant has created a theory development book that involves construction and analysis of a mathematical framework for exploring the intricacies of human motivation and satisfaction. Backed by thirty years of study, it draws on multiple disciplines to synthesize a model that has tremendous capacity for answering numerous previously unanswered questions on human motivation, and for predicting human behavior. The model is particularly useful for deriving scores of practical strategies, which organizations can use to enhance human performance and organizational profitability. The book combines contributions from managerial economics, organizational behavior, psychology, human resources, decision theory, and industrial engineering. This is the only book on the market that provides a comprehensive mathematical paradigm for interpreting human motivation issues. It is invaluable in guiding research and application in a wide array of fields.

Publisher Name University Press of America
Author Name Hagendorf, Col
Format Audio
Bisac Subject Major PSY
Language NG
Isbn 10 076183964X
Isbn 13 9780761839644
Target Age Group min:NA, max:NA
Dimensions 00.88" H x 60.06" L x 12.00" W
Page Count 220

Phil Grant is a management consultant and Professor of Management at Husson College in Bangor, Maine. He is a former Dean and Department Chair at Husson, and has helped more than 100 prominent organizations improve management of the human resource. Professor Grant has written and published ten books and over 165 articles on human performance in organizations. Among his most outstanding creative achievements are the founding of the Law of Escalating Marginal Sacrifice, the discovery of 132 plus major management uses for properly prepared job descriptions, and the creation of a unique job design-based performance model.

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