國立虎尾科技大學 |

Big Data and Blockchain for Service Operations Management

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Big Data and Blockchain for Service Operations Management/ edited by Ali Emrouznejad, Vincent Charles.
other author:	Emrouznejad, Ali.
Description:	XII, 344 p. 140 illus., 97 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Computational intelligence. -
Online resource:	https://doi.org/10.1007/978-3-030-87304-2
ISBN:	9783030873042

Big Data and Blockchain for Service Operations Management
Big Data and Blockchain for Service Operations Management[electronic resource] /edited by Ali Emrouznejad, Vincent Charles. - 1st ed. 2022. - XII, 344 p. 140 illus., 97 illus. in color.online resource. - Studies in Big Data,982197-6511 ;. - Studies in Big Data,8.

Characteristics and trends in big data for service operations management research: A blend of descriptive statistics and bibliometric analysis -- Strategy Formulation and Service Operations in the Big Data Age: The Essentialness of Technology, People, and Ethics -- Modeling Big Data Enablers for Service Operations Management.

This book aims to provide the necessary background to work with big data blockchain by introducing some novel applications in service operations for both academics and interested practitioners, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book intends to cover theory, research, development, and applications of big data and blockchain, as embedded in the fields of mathematics, engineering, computer science, physics, economics, business, management, and life sciences, to help service operations management.

ISBN: 9783030873042

Standard No.: 10.1007/978-3-030-87304-2doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Big Data and Blockchain for Service Operations Management
LDR:02370nam a22004095i 4500 001 1094195
003 DE-He213
005 20220212084638.0
007 cr nn 008mamaa
008 221228s2022 sz | s |||| 0|eng d
020 $a 9783030873042 $9 978-3-030-87304-2
024 7 $a 10.1007/978-3-030-87304-2 $2 doi
035 $a 978-3-030-87304-2
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Big Data and Blockchain for Service Operations Management $h [electronic resource] / $c edited by Ali Emrouznejad, Vincent Charles.
250 $a 1st ed. 2022.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a XII, 344 p. 140 illus., 97 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Big Data, $x 2197-6511 ; $v 98
505 0 $a Characteristics and trends in big data for service operations management research: A blend of descriptive statistics and bibliometric analysis -- Strategy Formulation and Service Operations in the Big Data Age: The Essentialness of Technology, People, and Ethics -- Modeling Big Data Enablers for Service Operations Management.
520 $a This book aims to provide the necessary background to work with big data blockchain by introducing some novel applications in service operations for both academics and interested practitioners, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book intends to cover theory, research, development, and applications of big data and blockchain, as embedded in the fields of mathematics, engineering, computer science, physics, economics, business, management, and life sciences, to help service operations management.
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 0 $a Big data. $3 981821
650 0 $a Industries. $3 684170
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Big Data. $3 1017136
700 1 $a Emrouznejad, Ali. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1022217
700 1 $a Charles, Vincent. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1311034
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030873035
776 0 8 $i Printed edition: $z 9783030873059
776 0 8 $i Printed edition: $z 9783030873066
830 0 $a Studies in Big Data, $x 2197-6503 ; $v 8 $3 1256918
856 4 0 $u https://doi.org/10.1007/978-3-030-87304-2
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)