Computational modeling of behavior in organizations : the third scientific discipline /

Computational modeling of behavior in organizations : the third scientific discipline /

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Bibliographic Details
Imprint:	Washington, D.C. : American Psychological Association, 2000.
Description:	1 online resource (xvi, 309 pages) : illustrations
Language:	English
Subject:	Organizational behavior -- Mathematical models. Organizational behavior -- Computer simulation. Organizational behavior -- Computer simulation. Organizational behavior -- Mathematical models. Behavior.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11135274

Hidden Bibliographic Details
Other authors / contributors:	Ilgen, Daniel R. Hulin, Charles L., 1936- American Psychological Association.
ISBN:	1557986398 9781557986399
Notes:	Includes bibliographical references and indexes. Made available through: American Psychological Association's PsyBooks Collection. Print version record.
Summary:	Behavior in organizations is complex and dynamic in ways that are not easily observable or predictable. Computational modeling is a promising research method that bridges the gap between field and laboratory, demonstrating the final effects of complex interactions. This book addresses the reticence of researchers to use computational modeling, advocating the wider use of this tool. Contributing authors describe their pioneering work in using computational modeling to study a wide range of problems, such as employee withdrawal; faking on personality tests; the formation, continuation, and dissolution of groups; and organizational change. (PsycINFO Database Record (c) 2004 APA, all rights reserved).
Other form:	Computational modeling of behavior in organizations (print)

Description
Summary:	This pioneering book describes the newest method for predicting outcomes thai result from the complex and dynamic ways that organizations work. By creating "virtual organizations," computational modeling demonstrates the final effects of complex interactions, enabling researchers to confront the logic of their theories before time-consuming and costly data collection occurs.
Physical Description:	1 online resource (xvi, 309 pages) : illustrations
Bibliography:	Includes bibliographical references and indexes.
ISBN:	1557986398 9781557986399