Supply chain management in the big data era:
"This book is an authoritative reference source for the latest scholarly material on the implementation of big data analytics for improved operations and supply chain processes, highlighting emerging strategies from different industry perspectives"--Provided by publisher.
Gespeichert in:
Weitere Verfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA)
IGI Global
[c2017]
|
Schlagworte: | |
Online-Zugang: | DE-862 DE-863 |
Zusammenfassung: | "This book is an authoritative reference source for the latest scholarly material on the implementation of big data analytics for improved operations and supply chain processes, highlighting emerging strategies from different industry perspectives"--Provided by publisher. |
Beschreibung: | PDFs (298 Seiten) : illustrations. Also available in print. |
Format: | Mode of access: World Wide Web. |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9781522509578 |
Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
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245 | 0 | 0 | |a Supply chain management in the big data era |c Hing Kai Chan, Nachiappan Subramanian, Muhammad Dan-Asabe Abdulrahman, editors. |
264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) |b IGI Global |c [c2017] | |
300 | |a PDFs (298 Seiten) : |b illustrations. | ||
336 | |a text |2 rdacontent | ||
337 | |a electronic |2 isbdmedia | ||
338 | |a online resource |2 rdacarrier | ||
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a Big data analytics: academic perspectives / Muhammad D. Abdulrahman [and 3 others] -- Big data analytics: service and manufacturing industries perspectives / Nachiappan Subramanian [and 3 others] -- How smart operations help better planning and replenishment?: empirical study - supply chain collaboration for smart operations / Usha Ramanathan -- Big data analytics for predictive maintenance strategies / C. K. M. Lee, Yi Cao, Kam Hung Ng -- Data-driven inventory management in the healthcare supply chain / Shuojiang Xu, Kim Hua Tan -- Role of operations strategy and big data: a study of transport company / Arvind Upadhyay [and 3 others] -- Big data and RFID in supply chain and logistics management: a review of the literature and applications for data driven research / Thanos Papadopoulos [and 3 others] -- Developing an integration framework for crowdsourcing and internet of things with applications for disaster response / Rameshwar Dubey -- Supply chain coordination based on web service / Kamalendu Pal -- Exploring the hidden pattern from tweets: investigation into Volkswagen emissions scandal / Ying Kei Tse [and 4 others] -- Swift Guanxi data analysis and its application to e-commerce retail strategies improvement / Ewelina Lacka -- Applying big data with fuzzy DEMATEL to discover the critical factors for employee engagement in developing sustainability for the hospitality industry under uncertainty / Kuo-Jui Wu [and 4 others]. | |
506 | 1 | |a Restricted to subscribers or individual electronic text purchasers. | |
520 | 3 | |a "This book is an authoritative reference source for the latest scholarly material on the implementation of big data analytics for improved operations and supply chain processes, highlighting emerging strategies from different industry perspectives"--Provided by publisher. | |
530 | |a Also available in print. | ||
538 | |a Mode of access: World Wide Web. | ||
588 | 0 | |a Description based on title screen (IGI Global, viewed 11/09/2016). | |
650 | 0 | |a Business logistics |x Data processing. | |
650 | 0 | |a Business logistics |x Management. | |
653 | |a Inventory management | ||
653 | |a Manufacturing industry | ||
653 | |a Predictive maintenance | ||
653 | |a RFID applications | ||
653 | |a Service industry | ||
653 | |a Social media | ||
653 | |a Web services | ||
700 | 1 | |a Abdulrahman, Muhammad Dan-Asabe |e editor. | |
700 | 1 | |a Chan, Hing Kai |e editor. | |
700 | 1 | |a Subramanian, Nachiappan |e editor. | |
710 | 2 | |a IGI Global, |e publisher. | |
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912 | |a ZDB-98-IGB | ||
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Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-98-IGB-00154507 |
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adam_text | |
any_adam_object | |
author2 | Abdulrahman, Muhammad Dan-Asabe Chan, Hing Kai Subramanian, Nachiappan |
author2_role | edt edt edt |
author2_variant | m d a a mda mdaa h k c hk hkc n s ns |
author_facet | Abdulrahman, Muhammad Dan-Asabe Chan, Hing Kai Subramanian, Nachiappan |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | H - Social Science |
callnumber-label | HD38 |
callnumber-raw | HD38.5 .S8875 2017e |
callnumber-search | HD38.5 .S8875 2017e |
callnumber-sort | HD 238.5 S8875 42017E |
callnumber-subject | HD - Industries, Land Use, Labor |
collection | ZDB-98-IGB |
contents | Big data analytics: academic perspectives / Muhammad D. Abdulrahman [and 3 others] -- Big data analytics: service and manufacturing industries perspectives / Nachiappan Subramanian [and 3 others] -- How smart operations help better planning and replenishment?: empirical study - supply chain collaboration for smart operations / Usha Ramanathan -- Big data analytics for predictive maintenance strategies / C. K. M. Lee, Yi Cao, Kam Hung Ng -- Data-driven inventory management in the healthcare supply chain / Shuojiang Xu, Kim Hua Tan -- Role of operations strategy and big data: a study of transport company / Arvind Upadhyay [and 3 others] -- Big data and RFID in supply chain and logistics management: a review of the literature and applications for data driven research / Thanos Papadopoulos [and 3 others] -- Developing an integration framework for crowdsourcing and internet of things with applications for disaster response / Rameshwar Dubey -- Supply chain coordination based on web service / Kamalendu Pal -- Exploring the hidden pattern from tweets: investigation into Volkswagen emissions scandal / Ying Kei Tse [and 4 others] -- Swift Guanxi data analysis and its application to e-commerce retail strategies improvement / Ewelina Lacka -- Applying big data with fuzzy DEMATEL to discover the critical factors for employee engagement in developing sustainability for the hospitality industry under uncertainty / Kuo-Jui Wu [and 4 others]. |
ctrlnum | (CaBNVSL)gtp00566534 (OCoLC)962445466 |
dewey-full | 658.50285/57 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 658 - General management |
dewey-raw | 658.50285/57 |
dewey-search | 658.50285/57 |
dewey-sort | 3658.50285 257 |
dewey-tens | 650 - Management and auxiliary services |
discipline | Wirtschaftswissenschaften |
format | Electronic eBook |
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id | ZDB-98-IGB-00154507 |
illustrated | Illustrated |
indexdate | 2025-03-18T14:30:27Z |
institution | BVB |
isbn | 9781522509578 |
language | English |
oclc_num | 962445466 |
open_access_boolean | |
owner | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
owner_facet | DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
physical | PDFs (298 Seiten) : illustrations. Also available in print. |
psigel | ZDB-98-IGB FWS_PDA_IGB ZDB-98-IGB |
publishDate | 2017 |
publishDateSearch | 2017 |
publishDateSort | 2017 |
publisher | IGI Global |
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spelling | Supply chain management in the big data era Hing Kai Chan, Nachiappan Subramanian, Muhammad Dan-Asabe Abdulrahman, editors. Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, PA 17033, USA) IGI Global [c2017] PDFs (298 Seiten) : illustrations. text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Big data analytics: academic perspectives / Muhammad D. Abdulrahman [and 3 others] -- Big data analytics: service and manufacturing industries perspectives / Nachiappan Subramanian [and 3 others] -- How smart operations help better planning and replenishment?: empirical study - supply chain collaboration for smart operations / Usha Ramanathan -- Big data analytics for predictive maintenance strategies / C. K. M. Lee, Yi Cao, Kam Hung Ng -- Data-driven inventory management in the healthcare supply chain / Shuojiang Xu, Kim Hua Tan -- Role of operations strategy and big data: a study of transport company / Arvind Upadhyay [and 3 others] -- Big data and RFID in supply chain and logistics management: a review of the literature and applications for data driven research / Thanos Papadopoulos [and 3 others] -- Developing an integration framework for crowdsourcing and internet of things with applications for disaster response / Rameshwar Dubey -- Supply chain coordination based on web service / Kamalendu Pal -- Exploring the hidden pattern from tweets: investigation into Volkswagen emissions scandal / Ying Kei Tse [and 4 others] -- Swift Guanxi data analysis and its application to e-commerce retail strategies improvement / Ewelina Lacka -- Applying big data with fuzzy DEMATEL to discover the critical factors for employee engagement in developing sustainability for the hospitality industry under uncertainty / Kuo-Jui Wu [and 4 others]. Restricted to subscribers or individual electronic text purchasers. "This book is an authoritative reference source for the latest scholarly material on the implementation of big data analytics for improved operations and supply chain processes, highlighting emerging strategies from different industry perspectives"--Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 11/09/2016). Business logistics Data processing. Business logistics Management. Inventory management Manufacturing industry Predictive maintenance RFID applications Service industry Social media Web services Abdulrahman, Muhammad Dan-Asabe editor. Chan, Hing Kai editor. Subramanian, Nachiappan editor. IGI Global, publisher. (Original) (DLC)2016032838 Print version: 1522509569 9781522509561 (DLC) 2016032838 |
spellingShingle | Supply chain management in the big data era Big data analytics: academic perspectives / Muhammad D. Abdulrahman [and 3 others] -- Big data analytics: service and manufacturing industries perspectives / Nachiappan Subramanian [and 3 others] -- How smart operations help better planning and replenishment?: empirical study - supply chain collaboration for smart operations / Usha Ramanathan -- Big data analytics for predictive maintenance strategies / C. K. M. Lee, Yi Cao, Kam Hung Ng -- Data-driven inventory management in the healthcare supply chain / Shuojiang Xu, Kim Hua Tan -- Role of operations strategy and big data: a study of transport company / Arvind Upadhyay [and 3 others] -- Big data and RFID in supply chain and logistics management: a review of the literature and applications for data driven research / Thanos Papadopoulos [and 3 others] -- Developing an integration framework for crowdsourcing and internet of things with applications for disaster response / Rameshwar Dubey -- Supply chain coordination based on web service / Kamalendu Pal -- Exploring the hidden pattern from tweets: investigation into Volkswagen emissions scandal / Ying Kei Tse [and 4 others] -- Swift Guanxi data analysis and its application to e-commerce retail strategies improvement / Ewelina Lacka -- Applying big data with fuzzy DEMATEL to discover the critical factors for employee engagement in developing sustainability for the hospitality industry under uncertainty / Kuo-Jui Wu [and 4 others]. Business logistics Data processing. Business logistics Management. |
title | Supply chain management in the big data era |
title_auth | Supply chain management in the big data era |
title_exact_search | Supply chain management in the big data era |
title_full | Supply chain management in the big data era Hing Kai Chan, Nachiappan Subramanian, Muhammad Dan-Asabe Abdulrahman, editors. |
title_fullStr | Supply chain management in the big data era Hing Kai Chan, Nachiappan Subramanian, Muhammad Dan-Asabe Abdulrahman, editors. |
title_full_unstemmed | Supply chain management in the big data era Hing Kai Chan, Nachiappan Subramanian, Muhammad Dan-Asabe Abdulrahman, editors. |
title_short | Supply chain management in the big data era |
title_sort | supply chain management in the big data era |
topic | Business logistics Data processing. Business logistics Management. |
topic_facet | Business logistics Data processing. Business logistics Management. |
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