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Supply chain management in the big d...
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Chan, Hing Kai,
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Supply chain management in the big data era
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Supply chain management in the big data era/ Hing Kai Chan, Nachiappan Subramanian, Muhammad Dan-Asabe Abdulrahman, editors.
其他作者:
Chan, Hing Kai,
出版者:
Hershey, Pennsylvania :IGI Global, : [2017],
面頁冊數:
1 online resource (298 p.) :ill.
內容註:
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].
標題:
Business logistics - Management. -
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-0956-1
ISBN:
9781522509578 (ebk.)
Supply chain management in the big data era
Supply chain management in the big data era
[electronic resource] /Hing Kai Chan, Nachiappan Subramanian, Muhammad Dan-Asabe Abdulrahman, editors. - Hershey, Pennsylvania :IGI Global,[2017] - 1 online resource (298 p.) :ill.
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.
Mode of access: World Wide Web.
ISBN: 9781522509578 (ebk.)Subjects--Topical Terms:
756850
Business logistics
--Management.Subjects--Index Terms:
Inventory management
LC Class. No.: HD38.5 / .S8875 2017e
Dewey Class. No.: 658.50285/57
Supply chain management in the big data era
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Hing Kai Chan, Nachiappan Subramanian, Muhammad Dan-Asabe Abdulrahman, editors.
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Hershey, Pennsylvania :
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IGI Global,
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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].
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Restricted to subscribers or individual electronic text purchasers.
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"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.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-0956-1
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