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Big data analytics in supply chain management = theory and applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Big data analytics in supply chain management/ edited by Iman Rahimi ... [et al.].
其他題名:	theory and applications /
其他作者:	Rahimi, Iman.
出版者:	Boca Raton, FL :CRC Press, : 2021.,
面頁冊數:	1 online resource.
標題:	Big data. -
電子資源:	https://www.taylorfrancis.com/books/9780367816384
ISBN:	9780367816384

Big data analytics in supply chain management = theory 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

LCCN: 2020036450Subjects--Topical Terms:

981821
Big data.

LC Class. No.: HD38.5

Dewey Class. No.: 658.70285/57

Big data analytics in supply chain management = theory and applications /
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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.
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