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Synopsis
This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.
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À propos de l?auteur
Dr. Fausto Pedro García Márquez completed his European Doctorate in Engineering at the University of Castilla-La Mancha (UCLM) in 2004. He received his Engineering degree from the University of Murcia, Spain in 1998, and his Technical Engineering degree at UCLM in 1995 and degree in Business Administration and Management at UCLM in 2006. He has also served as Technician in Labor Risk Prevention by UCLM (2000) and Transport Specialist at the Polytechnic University of Madrid, Spain (2001). He was a Senior Manager at Accenture in 2013/2014, and is currently a Senior Lecturer (Full Professor accredited) at UCLM, an Honorary Senior Research Fellow at the University of Birmingham, UK, a Lecturer at the Instituto Europeo de Postgrado and Director of the Ingenium Research Group. He has been the principal investigator in 3 European Projects and 60 national and corporate research projects. He holds international and national patents, and has authored more than 110 internationalpapers and 10 books. His work has been recognized with 3 International Awards in Engineering Management and Management Science.
Dr. Benjamin Lev is a Professor and Head of Decision Sciences at LeBow College of Business. He holds a PhD in Operations Research from Case Western Reserve University. Prior to joining Drexel University, Dr. Lev held academic and administrative positions at Temple University, the University of Michigan-Dearborn and Worcester Polytechnic Institute. He is the Editor-in-Chief of OMEGA - The International journal of Management Science, the Co-Editor-in-Chief of the International Journal of Management Science and Engineering Management, and serves on several other journal editorial boards. He has published over ten books and numerous articles, and has organized many national and international conferences.
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Big Data Management
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ISBN 10 : 3319833073
ISBN 13 : 9783319833071
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paperback. Etat : Good. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Softcover reprint of the original 1st ed. 2017. N° de réf. du vendeur 002332757U
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Big Data Management
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples. 284 pp. Englisch. N° de réf. du vendeur 9783319833071
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides an interdisciplinary approach to big data, merging the perspectives of contributors from various fields of researchAimed at engineers, economists, and researchers who employ engineering management in the course of their workOffers . N° de réf. du vendeur 458623651
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Big Data Management
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Taschenbuch. Etat : Neu. Neuware -This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 284 pp. Englisch. N° de réf. du vendeur 9783319833071
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples. N° de réf. du vendeur 9783319833071
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Big Data Management
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Big Data Management
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