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E-raamat: Supply Chain Management in the Big Data Era

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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"--

From presentations to a July 2015 conference on operations and supply chain management at the University of Nottingham-Ningbo China, 12 papers that discuss big data were selected for publication here. They cover insights from the academia and practitioners, big data on operations and supply chains, big data and emerging technology, and social media data research. Among specific topics are big data analytics: service and manufacturing perspectives, big data analytics for predictive maintenance strategies, the data-driven inventory management in the healthcare supply chain, developing an integration framework for crowdsourcing and Internet of Things with applications for disaster response, and exploring the hidden pattern from tweets: the investigation into the Volkswagen emissions scandal. Annotation ©2017 Ringgold, Inc., Portland, OR (protoview.com)
Preface xvi
Acknowledgment xx
Section 1 Insights from the Academia and Practitioners
Chapter 1 Big Data Analytics: Academic Perspectives
1(12)
Muhammad D. Abdulrahman
Nachiappan Subramanian
Hing Kai Chan
Kun Ning
Chapter 2 Big Data Analytics: Service and Manufacturing Industries Perspectives
13(12)
Nachiappan Subramanian
Muhammad D. Abdulrahman
Hing Kai Chan
Kun Ning
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(25)
Usha Ramanathan
Chapter 4 Big Data Analytics for Predictive Maintenance Strategies
50(25)
C. K. M. Lee
Yi Cao
Kam Hung Ng
Chapter 5 Data-Driven Inventory Management in the Healthcare Supply Chain
75(17)
Shuojiang Xu
Kim Hua Tan
Chapter 6 Role of Operations Strategy and Big Data: A Study of Transport Company
92(16)
Arvind Upadhyay
Mahmood Ali
Vikas Kumar
John Loonam
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(16)
Thanos Papadopoulos
Angappa Gunasekaran
Rameshwar Dubey
Maria Balta
Chapter 8 Developing an Integration Framework for Crowdsourcing and Internet of Things with Applications for Disaster Response
124(13)
Rameshwar Dubey
Chapter 9 Supply Chain Coordination Based on Web Service
137(35)
Kamalendu Pal
Section 4 Social Media Data Research
Chapter 10 Exploring the Hidden Pattern from Tweets: Investigation into Volkswagen Emissions Scandal
172(27)
Ying Kei Tse
Minhao Zhang
Bob Doherty
Susan R. Moore
Tom Keefe
Chapter 11 Swift Guanxi Data Analysis and Its Application to E-Commerce Retail Strategies Improvement
199(19)
Ewelina Lacka
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(36)
Kuo-Jui Wu
Li Cui
Ming-Lang Tseng
Jiayao Hu
Pham Minh Huy
Compilation of References 254(35)
About the Contributors 289(7)
Index 296
Hing Kai Chan, University of Nottingham, China.

Nachiappan Subramanian, University of Nottingham, China.

Muhammad Dan-Asabe Abdulrahman, University of Nottingham, China.
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