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Big data analytics in supply chain managementtheory and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data analytics in supply chain managementedited by Iman Rahimi ... [et al.].
Reminder of title:	theory and applications /
other author:	Rahimi, Iman.
Published:	Boca Raton, FL :CRC Press,2021.
Description:	1 online resource.
Subject:	Business logistics.
Online resource:	https://www.taylorfrancis.com/books/9780367816384
ISBN:	9780367816384$q(electronic bk.)

Big data analytics in supply chain managementtheory and applications /
Big data analytics in supply chain managementtheory and applications /[electronic resource] :edited by Iman Rahimi ... [et al.]. - 1st ed. - Boca Raton, FL :CRC Press,2021. - 1 online resource.

Includes bibliographical references and index.

"In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Business and Engineering students, scholars, and professionals, this book is a collection of the state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge on emerging supply chain problems"--

ISBN: 9780367816384$q(electronic bk.)

LCCN: 2020036450Subjects--Topical Terms:

199351
Business logistics.

LC Class. No.: HD38.5

Dewey Class. No.: 658.70285/57

Big data analytics in supply chain managementtheory and applications /
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245 0 0 $a Big data analytics in supply chain management $h [electronic resource] : $b theory and applications / $c edited by Iman Rahimi ... [et al.].
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c 2021.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
520 $a "In a world of soaring digitization, social media, financial transactions, and production and logistics processes constantly produce massive data. Employing analytical tools to extract insights and foresights from data improves the quality, speed, and reliability of solutions to highly intertwined issues faced in supply chain operations. From procurement in Industry 4.0 to sustainable consumption behavior to curriculum development for data scientists, this book offers a wide array of techniques and theories of Big Data Analytics applied to Supply Chain Management. It offers a comprehensive overview and forms a new synthesis by bringing together seemingly divergent fields of research. Intended for Business and Engineering students, scholars, and professionals, this book is a collection of the state-of-the-art research and best practices to spur discussion about and extend the cumulant knowledge on emerging supply chain problems"-- $c Provided by publisher.
588 $a Description based on print version record.
650 0 $a Business logistics. $3 199351
650 0 $a Big data. $3 609582
700 1 $a Rahimi, Iman. $3 931100
856 4 0 $u https://www.taylorfrancis.com/books/9780367816384