Value in Business: A Holistic, Systems-Based Approach to Creating and Achieving Value - Rilegato

Forrest, Jeffrey Yi-Lin; Liu, Yong

Rilegato

ISBN 10: 3030828972 ISBN 13: 9783030828974

Casa editrice: Springer Nature, 2021

Riassunto

This book uses a system-based approach to decipher and organize the concepts and conclusions relevant for creating and capturing value in business.  It develops a scientific theory based on systems science and logical reasoning that is commonly employed in mathematics and natural science. The resulting new theory focuses on the organizational nature of the world and the organic and holistic feature of human organizations and their interactions. To this end, this book identifies a few axioms, instead of empirical discoveries, on which it reliably constructs the entire theory.

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Informazioni sull?autore

<p>Jeffrey Yi-Lin Forrest is Professor in the Department of Accounting, Economics and Finance at Slipper Rock University (Pennsylvania, USA). His research interests are mainly in the area of systems research and applications in a wide-ranging number of disciplines of the traditional science, such as mathematical modeling, foundations of mathematics, data analysis, theory and methods of predictions of disastrous natural events, economics and finance, management science, philosophy of science, etc.</p><p>&nbsp;</p>Yong Liu is Professor in the School of Business at Jiangnan University (China). He has published over 60 research papers in many international journals in the areas of science and technology management.&nbsp;<br>

Dalla quarta di copertina

This book uses a system-based approach to decipher and organize the concepts and conclusions relevant for creating and capturing value in business. It develops a scientific theory based on systems science and logical reasoning that is commonly employed in mathematics and natural science. The resulting new theory focuses on the organizational nature of the world and the organic and holistic feature of human organizations and their interactions. To this end, this book identifies a few axioms, instead of empirical discoveries, on which it reliably constructs the entire theory.

Dettagli dell?edizione

• Editore: Springer Nature
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030828972
• ISBN 13: 9783030828974
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 512
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania