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"...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hershey, PA
Business Science Reference
[2017]
|
| Schriftenreihe: | Advances in logistics, operations, and management science
Premier reference source |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| 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"... |
| Beschreibung: | Includes bibliographical references and index |
| Beschreibung: | xx, 298 Seiten Illustrationen, Diagramme |
| ISBN: | 9781522509561 |
Internformat
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| 245 | 1 | 0 | |a Supply chain management in the big data era |c Hing Kai Chan (University of Nottingham Ningbo, China), Nachiappan Subramanian (University of Sussex, UK), Muhammad Dan-Asabe Abdulrahman (University of Nottingham Ningbo, China) |
| 264 | 1 | |a Hershey, PA |b Business Science Reference |c [2017] | |
| 264 | 4 | |c © 2017 | |
| 300 | |a xx, 298 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
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| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Advances in logistics, operations, and management science | |
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| 500 | |a Includes bibliographical references and index | ||
| 520 | |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"... | ||
| 650 | 4 | |a Datenverarbeitung | |
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Datensatz im Suchindex
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|---|---|
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| adam_text | Table of Contents
Preface........................................................xvi
Acknowledgment.................................................xx
Section 1
Insights from the Academia and Practitioners
Chapter 1
Big Data Analytics: Academic Perspectives.................................1
Muhammad D. Abdulrahman,The University of Nottingham - Ningbo,
China
Nachiappan Subramanian, University of Sussex, UK
Hing Kai Chan, The University of Nottingham - Ningbo, China
Kun Ning, The University of Nottingham - Ningbo, China
Chapter 2
Big Data Analytics: Service and Manufacturing Industries Perspectives.....13
Nachiappan Subramanian, University of Sussex, UK
Muhammad D. Abdulrahman, The University of Nottingham - Ningbo,
China
Hing Kai Chan, The University of Nottingham - Ningbo, China
Kun Ning, The University of Nottingham - Ningbo, China
Section 2
Big Data on Operations and Supply Chains
Chapter 3
How Smart Operations Help Better Planning and Replenishment? Empirical
Study - Supply Chain Collaboration for Smart Operations...................25
Usha Ramanathan, Nottingham Trent University, UK
Chapter 4
Big Data Analytics for Predictive Maintenance Strategies................50
C. K. M. Lee, The Hong Kong Polytechnic University, China
Yi Cao, The Hong Kong Polytechnic University, China
Kam Hung Ng, The Hong Kong Polytechnic University, China
Chapter 5
Data-Driven Inventory Management in the Healthcare Supply Chain.........75
ShuojiangXu, University of Nottingham, UK
Kim Hua Tan, University of Nottingham, UK
Chapter 6
Role of Operations Strategy and Big Data: A Study of Transport Company..92
Arvind Upadhyay, University of Brighton, UK
Mahmood Ali, University of Business and Technology Jeddah, Saudi
Arabia
Vikas Kumar, University of the West of England, UK
John Loonam, Dublin City University Business School, Ireland
Section 3
Big Data and Emerging Technology
Chapter 7
Big Data and RFID in Supply Chain and Logistics Management: A Review
of the Literature and Applications for Data Driven Research.............108
Thanos Papadopoulos, University of Kent, UK
Angappa Gunasekaran, University of Massachusetts - Dartmouth, USA
Rameshwar Dubey, Symbiosis Institute of Operations Management,
India
Maria Balta, Brunei University, UK
Chapter 8
Developing an Integration Framework for Crowdsourcing and Internet of
Things with Applications for Disaster Response..........................124
Rameshwar Dubey, Symbiosis International University, India
Chapter 9
Supply Chain Coordination Based on Web Service..........................137
KamalenduPal, City, University of London, UK
Section 4
Social Media Data Research
Chapter 10
Exploring the Hidden Pattern from Tweets: Investigation into Volkswagen
Emissions Scandal..........................................................172
Ying KeiTse,University of York, UK
Minhao Zhang,University of York, UK
Bob Doherty, University of York, UK
Susan R.Moore, University of York, UK
Tom Keefe, University of York, UK
Chapter 11
Swift Guanxi Data Analysis and Its Application to E-Commerce Retail
Strategies Improvement ....................................................199
Ewelina Lacka, Strathclyde University, UK
Chapter 12
Applying Big Data with Fuzzy DEMATEL to Discover the Critical Factors
for Employee Engagement in Developing Sustainability for the Hospitality
Industry under Uncertainty.................................................218
Kuo-JuiWu, Dalian University of Technology, China
Li Cui, Dalian University of Technology, China
Ming-Lang Tseng, Lunghwa University of Science and Technology,
Taiwan
Jiayao Hu, The University of Nottingham, UK
Pham Minh Huy, Lunghwa University of Science and Technology,
Taiwan
Compilation of References..........................................254
About the Contributors.............................................289
Index
296
|
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| discipline | Wirtschaftswissenschaften |
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| indexdate | 2025-02-20T06:44:03Z |
| institution | BVB |
| isbn | 9781522509561 |
| language | English |
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| physical | xx, 298 Seiten Illustrationen, Diagramme |
| publishDate | 2017 |
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| publisher | Business Science Reference |
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| series2 | Advances in logistics, operations, and management science Premier reference source |
| spellingShingle | Supply chain management in the big data era Datenverarbeitung Business logistics Management Business logistics Data processing Supply Chain Management (DE-588)4684051-5 gnd Big Data (DE-588)4802620-7 gnd |
| subject_GND | (DE-588)4684051-5 (DE-588)4802620-7 (DE-588)4143413-4 |
| 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 (University of Nottingham Ningbo, China), Nachiappan Subramanian (University of Sussex, UK), Muhammad Dan-Asabe Abdulrahman (University of Nottingham Ningbo, China) |
| title_fullStr | Supply chain management in the big data era Hing Kai Chan (University of Nottingham Ningbo, China), Nachiappan Subramanian (University of Sussex, UK), Muhammad Dan-Asabe Abdulrahman (University of Nottingham Ningbo, China) |
| title_full_unstemmed | Supply chain management in the big data era Hing Kai Chan (University of Nottingham Ningbo, China), Nachiappan Subramanian (University of Sussex, UK), Muhammad Dan-Asabe Abdulrahman (University of Nottingham Ningbo, China) |
| title_short | Supply chain management in the big data era |
| title_sort | supply chain management in the big data era |
| topic | Datenverarbeitung Business logistics Management Business logistics Data processing Supply Chain Management (DE-588)4684051-5 gnd Big Data (DE-588)4802620-7 gnd |
| topic_facet | Datenverarbeitung Business logistics Management Business logistics Data processing Supply Chain Management Big Data Aufsatzsammlung |
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Inhaltsverzeichnis
THWS Schweinfurt Zentralbibliothek Lesesaal
| Signatur: |
2000 QP 530 C454 |
|---|---|
| Exemplar 1 | ausleihbar Verfügbar Bestellen |