Overview
- Provides managers and entrepreneurs with a tool to support their daily decision making on a scientific foundation
- Offers scholars systems science and holistic logical reasoning to avoid the limitations of conventional methods
- Sets forth solid results that can lead to managerial recommendations instead of making mere suggestions
Part of the book series: Translational Systems Sciences (TSS, volume 39)
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Table of contents (16 chapters)
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The Overview
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Value Creation and Capture
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Managerial Decisions in Modern Business World
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Management of Large-Scale Business Forces
Keywords
About this book
The objective of this book, the second volume of this monograph series, is to respond to the calls from front-line managers, entrepreneurs, and scholarly researchers to reconstruct the theories of economics and business so that the new theories will be more relevant to real life than the prevalent ones. Differing from what is presented in the first volume, this second volume emphasizes the development of systemic principles underlying a whole series of empirical discoveries and theoretical conclusions in more applied business studies. By employing the concepts, methodology, and logical reasoning of systems science, this volume addresses important issues about value creation and capture, managerial decision making in the modern business world, and the management of large-scale business forces.
The book particularly targets graduate students and scholarly researchers who are looking for opportunities to develop new territory in the world of applied economic and business knowledge. In addition, it aims at front-line decision-making managers and entrepreneurs who want sounder theories and more reliable methods than the commonly available ones on which to base their critical decisions. By masterfully employing the concepts, methodology, and logical reasoning of systems science, readers can expect to become better able to discover the previously unfamiliar essence of business practices and insightful opportunities for profit.
Authors and Affiliations
About the author
Jeffrey Yi-Lin Forrest (aka Yi Lin) earned his PhD degree in mathematics from Auburn University, Alabama; and served as a visiting professor of economics, finance, mathematics, and systems science at several major universities from various countries. Currently, he is a professor of mathematics and the research coach for the School of Business at Slippery Rock University of Pennsylvania. Other than heading the International Institute for General Systems Studies, he served or serves on the editorial boards of thirteen scholarly journals, as a co-editor-in-chief of the international journal “Advances in Systems Science and Application,” the editor- or co-editor-in-chief of four book series, “Grey System (Springer),” “Systems Evaluation, Prediction, and Decision-Making (CRC Press, New York),” “Communications in Cybernetics, Systems Science and Engineering,” and “Communications in Cybernetics, Systems Science and Engineering – Proceedings (CRC Press, Balkema).” As of today, he publishedover 500 research works, including over 50 authored or edited volumes.
Bibliographic Information
Book Title: Systemic Principles of Applied Economic Philosophies II
Book Subtitle: Value, Decision, and Large-Scale Business Forces
Authors: Jeffrey Yi-Lin Forrest
Series Title: Translational Systems Sciences
DOI: https://doi.org/10.1007/978-981-99-7939-4
Publisher: Springer Singapore
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023
Hardcover ISBN: 978-981-99-7938-7Published: 03 February 2024
Softcover ISBN: 978-981-99-7941-7Due: 05 March 2024
eBook ISBN: 978-981-99-7939-4Published: 02 February 2024
Series ISSN: 2197-8832
Series E-ISSN: 2197-8840
Edition Number: 1
Number of Pages: XVIII, 483
Number of Illustrations: 1 b/w illustrations
Topics: Macroeconomics/Monetary Economics//Financial Economics, Microeconomics, History of Economic Thought/Methodology, Operations Research/Decision Theory