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Wednesday, July 29, 2020 | History

4 edition of Management science for decision makers found in the catalog.

Management science for decision makers

Larry M. Austin

Management science for decision makers

by Larry M. Austin

  • 58 Want to read
  • 14 Currently reading

Published by West Pub. Co. in Minneapolis/St. Paul .
Written in English

    Subjects:
  • Management science.

  • Edition Notes

    Includes bibliographical references and index.

    StatementLarry M. Austin, Parviz Ghandforoush.
    ContributionsGhandforoush, Parviz.
    Classifications
    LC ClassificationsT56 .A88 1993
    The Physical Object
    Paginationxvii, 563 p. :
    Number of Pages563
    ID Numbers
    Open LibraryOL1718445M
    ISBN 100314012435
    LC Control Number92021119

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    The analysis of decision making under uncertainty has again become a major focus of interest. This volume presents contributions from leading specialists in different fields and provides a summary and synthesis of work in this area. It is based on a conference held at the Harvard Business School. The book brings together the different approaches to decision making - normative, descriptive, and 4/5(1). The Decision Maker’s Handbook to Data Science is a book which I wrote to distill the knowledge and experience I acquired after many years in the field of data science. It was also borne out of the feedback and interaction with clients that participated in the Tesseract Academy ‘s data science workshop.

    A decision bias is a mistake in decision-making due to improper reasoning, evaluation, memory, or simply personal preference. Since people make numerous decisions every day, it’s vitally important that small business owners and employees understand the decision biases that frequently occur. Decision-making is a truly fascinating science, incorporating organizational behavior, psychology, sociology, neurology, strategy, management, philosophy, and logic. The ability to make effective decisions that are rational, informed, and collaborative can greatly reduce opportunity costs while building a strong organizational focus.


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