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El. knyga: Digital Supply Chain

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Edited by (Professor of Operations Management, University of Nottingham, UK), Edited by (Professor of Supply Chain and Operations Management, Berlin School of Economics and Law, Berlin, Germany)
  • Formatas: EPUB+DRM
  • Išleidimo metai: 09-Jun-2022
  • Leidėjas: Elsevier - Health Sciences Division
  • Kalba: eng
  • ISBN-13: 9780323916158
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Digital Supply ChainDidesnis paveikslėlis
  • Formatas: EPUB+DRM
  • Išleidimo metai: 09-Jun-2022
  • Leidėjas: Elsevier - Health Sciences Division
  • Kalba: eng
  • ISBN-13: 9780323916158
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The Digital Supply Chain is a thorough investigation of the underpinning technologies, systems, platforms and models that enable the design, management, and control of digitally connected supply chains. The book examines the origin, emergence and building blocks of the Digital Supply Chain, showing how and where the virtual and physical supply chain worlds interact. It reviews the enabling technologies that underpin digitally controlled supply chains and examines how the discipline of supply chain management is affected by enhanced digital connectivity, discussing purchasing and procurement, supply chain traceability, performance management, and supply chain cyber security. The book provides a rich set of cases on current digital practices and challenges across a range of industrial and business sectors including the retail, textiles and clothing, the automotive industry, food, shipping and international logistics, and SMEs. It concludes with research frontiers, discussing network science for supply chain analysis, challenges in Blockchain applications and in digital supply chain surveillance, as well as the need to re-conceptualize supply chain strategies for digitally transformed supply chains.

  • Covers both theoretical and practical points-of-view
  • Contains material that readers from different backgrounds and disciplines will find informative
  • Examines digital practices and challenges in-depth across a wide range of sectors
  • Provides up-to-date, critical insights on the design, management and control of digitally connected supply chains
  • Written by experts with strong backgrounds in the field

Recenzijos

"Digitalization is transforming all business transactions. This timely issue is the focus of this exciting new book edited by Bart MacCarthy and Dmitry Ivanov. The book focuses on how digitalization is changing supply chains and supply chain management in these unsettling times when supply chain security and resilience take the center stage. This edited book is most comprehensive with 24 chapters covering digital technologies, systems, platforms. The book provides chapters addressing supply chain digitalization in many critically important sectors including retailing, automotive, food, textiles and clothing, logistics and shipping, and in SMEs. These topics are of interest to practitioners. For researchers, the frontiers of research in the Digital Supply Chain are also addressed with chapters on supply network analysis, digital surveillance of supply chains, supply chain cyber security, and scaling Blockchain solutions for supply chain traceability. The book also addresses how digitalization affects supply chain sustainability and how it will affect future supply chain strategies. The Editors of the Digital Supply Chain must be commended for bringing together such an exciting text that is directly relevant to the challenges we face in todays global economy."--Christopher S. Tang Distinguished Professor and Edward W. Carter Chair in Business Administration Faculty Director, Center for Global Management UCLA Anderson School of Management University of California, Los Angeles

"Digital transformation of supply chains is one of the most important and timely topics in operations management. It shapes Industry 4.0 and beyond. MacCarthy and Ivanovs book is the first of a kind creating a comprehensive picture of the related managerial challenges and technological solutions to design and operate digital supply chains. The book covers topics ranging from product tracking and traceability to the impacts of digitalization on supply chain sustainability. The book will be useful for professionals, senior researchers, young faculty and graduate students. In particular, on one hand, the chapters of the book offer introduction to basic understanding of digital technologies and the associated management principles and business models. On the other hand, real-life examples and case-studies illustrate the theories of the topic, which help advance our understanding towards when and how the digital supply chain can provide competitive advantages for companies improving profitability, resilience, and sustainability. This book is an exciting read. The Editors are both well-established top experts in the field and they did an excellent job in putting the materials together in a clear and logical sequence of topics. I would strongly recommend this book."--Tsan-Ming Choi (Jason), PhD, Yushan Fellow and Professor Department of Business Administration, College of Management, National Taiwan University, Taiwan

"The Digital Supply Chain book covers topics on the principles and technologies to design supply chains as cyber-physical systems. Along with the strong theoretical background about Data Analytics, Blockchain, Artificial Intelligence and Digital Twins, the book also showcases many practical applications. The chapters are written by the leading experts in the field, and the Editors have managed very well to structure them into a coherent whole covering the fundamental building blocks, the management of the Digital Supply Chain, cases from different business and industry sectors, and the research frontiers at the leading edge of the subject.."--Alexandre Dolgui Dr.habil., Ph.D. Professor and Head Automation, Production and Computer Sciences Dept. IMT Atlantique, France. Editor-in-Chief The International Journal of Production Research

Contributors xv
Preface xvii
Part I Introduction
1 The Digital Supply Chain---emergence, concepts, definitions, and technologies
Bart L. MacCarthy
Dmitry Ivanov
1 A transformative decade
3(2)
2 Emergence of the Digital Supply Chain
5(2)
2.1 The digitalization of supply chains
6(1)
3 Building blocks for the Digital Supply Chain
7(7)
3.1 Smart Factories, Smart Warehouses, and Smart Logistics
7(2)
3.2 The Cloud and platforms
9(1)
3.3 Analytics, Data Science, and Al
10(1)
3.4 Emerging technologies---Blockchain, Digital Twins, and the Internet of Things
11(3)
4 Defining the Digital Supply Chain
14(1)
5 Many opportunities, many challenges
15(2)
6 Outline of book contents
17(10)
References
18(9)
Part II Digital building blocks and enabling technologies
2 Digital Manufacturing: the evolution of traditional manufacturing toward an automated and interoperable Smart Manufacturing Ecosystem
Dimitris Mourtzis
John Angelopoulos
Nikos Panopoulos
1 Introduction---the evolution of production paradigms
27(5)
1.1 From Computer-Aided Manufacturing (CAM) to Computer-Integrated Manufacturing (CIM)
28(1)
1.2 Industry 4.0 and the emergence of Smart Manufacturing Systems
29(3)
2 Interoperability and automation
32(4)
2.1 Interoperability and ontologies
32(1)
2.2 The pyramid of industrial automation
33(2)
2.3 Generic approaches to implement interoperability in smart manufacturing ecosystems
35(1)
2.4 The smart factory: connectivity, automation, and data
35(1)
2.5 IoT architectures for automation, interoperability, and monitoring of Industrial Big Data
36(1)
3 Interoperable Digital Twins and predictive maintenance in modern manufacturing
36(3)
4 Digitalization and smart factories: trends and future challenges
39(1)
4.1 Product lifecycle management
39(1)
4.2 5G for smart manufacturing and Industry 5.0
40(1)
5 Conclusions
40(7)
Glossary of acronyms
41(1)
References
41(6)
3 Smart warehouses---a sociotechnical perspective
Sven Winkelhaus
Eric H. Grosse
1 The digital supply chain transforms the requirements for warehousing
47(1)
2 Warehouse management
48(1)
3 Smart warehouses: enabling technologies
49(3)
4 Order-picking in the smart warehouse
52(2)
5 Smart warehouses are sociotechnical systems
54(3)
6 Conclusions
57(4)
References
58(3)
4 The Internet of Things---an emerging paradigm to support the digitalization of future supply chains
Hamed Baziyad
Vahid Kayvanfar
Aseem Kinra
1 Introduction
61(2)
2 The basic concepts of IoT
63(3)
2.1 IoT architectures
63(2)
2.2 IoT and CPSs
65(1)
3 Supply chain management, novel digital technologies, and IoT
66(1)
4 IoT applications in OM and SCM
66(1)
4.1 Agri-food
66(1)
4.2 Cold chains
67(1)
4.3 Other manufacturing domains
67(1)
5 Future challenges for IoT in the supply chain
67(1)
5.1 Security and data privacy
67(1)
5.2 Standards, identification, and naming services
68(1)
5.3 Big data generation
68(1)
6 Perspectives on IoT adoption and implementation in supply chains
68(2)
7 Conclusions, limitations, and future research
70(7)
Appendix A
70(1)
References
71(6)
5 The cloud, platforms, and digital twins---Enablers of the digital supply chain
Gongtao Zhang
Bart L. MacCarthy
Dmitry Ivanov
1 Introduction
77(1)
2 Perspectives on cloud-based systems
78(4)
2.1 Defining cloud computing
79(1)
2.2 Software as a service
79(1)
2.3 Cloud-based Enterprise Resource Planning (ERP) systems
80(1)
2.4 Advantages and challenges for enterprises adopting cloud computing
80(2)
3 Platform technologies
82(3)
3.1 Characteristics of digital platforms
82(1)
3.2 Platform commerce
82(1)
3.3 Platform ecosystems
83(1)
3.4 Manufacturing as a Service (MaaS)---combining platforms and the cloud
84(1)
4 Digital twins
85(3)
4.1 Defining a digital twin in a supply chain context
86(1)
4.2 Applications of digital twins for supply chain resilience management
87(1)
5 Conclusions
88(5)
References
88(5)
6 Algorithms, Analytics, and Artificial Intelligence: harnessing data to make supply chain decisions
Xavier Brusset
Davide La Torre
Jan Broekaert
1 Introduction
93(2)
2 Current and prevalent algorithms and Al techniques
95(8)
2.1 Prescriptive techniques
96(1)
2.2 Predictive techniques
97(6)
3 Current Al and algorithmic applications with the most impact
103(1)
4 Potential techniques and emerging areas of application for Al and algorithms
104(2)
5 Conclusion and perspectives
106(5)
References
107(4)
7 The impact of digitalization on contemporary and future logistics
Stephen Pettit
Yingli Wang
Anthony Beresford
1 Introduction
111(1)
2 Digitalization in logistics and supply chain management
112(1)
3 Cloud-based systems
113(1)
4 Emerging technologies
113(8)
4.1 Platform logistics
115(1)
4.2 Artificial Intelligence
115(1)
4.3 Pervasive computing and Internet of Things
116(1)
4.4 Digital twins
117(1)
4.5 Physical Internet and Industry 4.0
118(1)
4.6 Big data and Business Analytics
119(2)
5 Concluding observations and future prospects
121(6)
References
122(5)
8 Blockchain technologies in the digital supply chain
Horst Treiblmaier
Abderahman Rejeb
Wafaa A.H. Ahmed
1 Introduction
127(1)
2 Functionality of blockchain
128(1)
3 Blockchain in the academic supply chain literature
129(8)
3.1 Methodology
129(3)
3.2 Drivers of blockchain adoption in logistics and SCM
132(2)
3.3 Barriers to blockchain adoption in supply chains
134(3)
4 Industrial applications of blockchain
137(3)
5 Conclusion and further research
140(7)
References
141(6)
Part III Managing the Digital Supply Chain
9 Digital architectures: frameworks for supply chain data and information governance
Konstantina Spanaki
Erisa Karafili
Stella Despoudi
1 Introduction
147(1)
2 Data as a resource---the need for data quality
148(3)
2.1 Data and information management frameworks
148(2)
2.2 Data and information landscapes and information ecologies
150(1)
3 Data and information architectures
151(3)
3.1 Data management in cyber-physical SC environments
152(2)
3.2 Data governance in the SC environments
154(1)
4 Data sharing agreements
154(2)
5 Data attributes, sharing, and access control
156(1)
6 Actors, roles, and relationships in data sharing
157(1)
7 Conclusions
158(5)
References
159(4)
10 Supply chain traceability systems---robust approaches for the digital age
Kitty Kay Chan
1 Introduction
163(1)
2 Visibility, transparency, and traceability
164(1)
2.1 Being visible and transparent
164(1)
2.2 The usage of terms---traceability, traceability system, tracking, and tracing
164(1)
3 Motivations for traceability and transparency
165(2)
3.1 Increasing operating efficiency
165(1)
3.2 Meeting legal compliance
166(1)
3.3 Managing risks
166(1)
3.4 Building trust and confidence
167(1)
4 Information requirements for traceability systems
167(2)
4.1 Traceability standards
167(1)
4.2 Common information building blocks
168(1)
4.3 Working with information in a common language
168(1)
5 Enabling technologies
169(1)
5.1 Laser and camera-based system with barcodes and QR codes
169(1)
5.2 Radio frequency identification and near field communication
169(1)
5.3 Internet of Things and blockchain
169(1)
6 Challenges
170(2)
6.1 Cybersecurity---supply chain cybersecurity and multiple-party authentication
170(1)
6.2 Standards---building standards and harmonization of guidelines
170(1)
6.3 Data quality---unsynchronized data and signal corruption
171(1)
6.4 Integrating new technology
171(1)
6.5 Competing interests among stakeholders
171(1)
7 An illustrative case: the wood supply chain
172(1)
7.1 Motivation and challenge
172(1)
7.2 Relevant information
172(1)
7.3 Enabling technology
172(1)
8 Conclusion
173(8)
References
173(8)
11 Digital purchasing and procurement systems: evolution and current state
Karsten Cox
1 Introduction---the rise of digital procurement systems
181(1)
2 The development of digital procurement systems
182(5)
2.1 Early computer-assisted purchasing with MRP and spreadsheets
183(1)
2.2 The integration of procurement and supply chain management through Electronic Data Inter-change (EDI) and ERP
183(1)
2.3 Characteristics of contemporary digital procurement systems---P2P and S2P
184(3)
2.4 State of the art in practice
187(1)
3 Research perspectives on digitalization of procurement
187(1)
3.1 Research on digital procurement systems adoption: technology readiness
187(1)
3.2 The need for wider research on contemporary digital procurement systems
188(1)
4 Hitachi case study
188(4)
4.1 Start of Hitachi's digital procurement system journey
188(2)
4.2 Hitachi Rail Group: implementing Jaggaer
190(1)
4.3 Pilot study: supporting tenders on high-speed bid projects
191(1)
5 Looking ahead: the future of digital procurement systems
192(2)
5.1 Further automation of digital procurement systems
193(1)
5.2 The future of S2P digital procurement technology
193(1)
5.3 Data integrity and cyber security in future digital procurement
194(1)
6 Conclusions
194(5)
References
194(5)
12 Measuring and managing digital supply chain performance
Ashish Kumar Jha
Nishant Kumar Verma
Indranil Bose
1 Introduction
199(1)
2 A framework for performance management in digital supply chains
200(4)
2.1 Traditional view of performance management in supply chains
200(1)
2.2 Importance of data in digital supply chains
201(1)
2.3 A data-driven framework for performance management
202(2)
3 Case studies
204(6)
3.1 Cisco Systems
204(1)
3.2 Ramco Cements Limited
205(1)
3.3 Tetra Pak
206(4)
4 Impact of emerging technologies on performance measurement and management
210(1)
4.1 Supply chain dashboards
210(1)
4.2 Other emerging technologies
210(1)
5 Conclusions
211(4)
References
212(3)
13 The art of cyber security in the age of the digital supply chain: detecting and defending against vulnerabilities in your supply chain
Sang Yoon Cha
1 Introduction
215(2)
2 Governments, consultancies, and industry approaches
217(4)
3 Research on supply chain cyber security
221(5)
4 Research frontiers
226(1)
5 Conclusions
227(10)
References
227(10)
Part IV Digital Supply Chain --- sectoral cases
14 Digital retail---key trends and developments
Lina Zhang
Mikko Hanninen
1 Introduction
237(1)
2 The reshaping of the retail value chain
238(2)
2.1 Manufacturing in the retail value chain
238(1)
2.2 Retailing---the emergence of the platform model
239(1)
2.3 Delivery and fulfillment
239(1)
3 Platform-based retail ecosystems---the cases of Alibaba and Amazon
240(9)
3.1 Alibaba Group
240(5)
3.2 Amazon.com, Inc.
245(4)
4 Discussion
249(2)
4.1 Transition to a platform business model with ongoing investment in physical assets
249(1)
4.2 Channel-agnostic, convenient, and personalized retail experience
249(1)
4.3 Faster and flexible logistics capabilities
250(1)
4.4 Manufacturing operations
250(1)
5 Conclusions
251(4)
References
251(4)
15 Digitalization in the textiles and clothing sector
Rudrajeet Pal
Amila Jayarathne
1 Introduction
255(3)
2 Digital clothing design and sample development
258(1)
2.1 Product design, sample development, and product lifecycle management
258(1)
2.2 Wearable technology
259(1)
3 Digitalization of clothing supply and manufacturing networks
259(3)
3.1 Sourcing and procurement
259(2)
3.2 Production planning and manufacturing
261(1)
4 Digitalization of clothing distribution and retail formats
262(3)
4.1 Distribution
262(1)
4.2 Retailing
263(2)
5 Digitally enabled clothing circularity
265(2)
6 Conclusions
267(6)
References
268(5)
16 Digitalization in production and warehousing in food supply chains
Fabio Sgarbossa
Anita Romsdal
Olumide Emmanuel Oluyisola
Jan Ola Strandhagen
1 Introduction
273(1)
2 DigiMat---an innovation project between a food supply chain and academia
274(1)
3 Characteristics of food supply chains
275(2)
4 Introduction to cases
277(8)
4.1 Case 1---smart planning and control in production
278(2)
4.2 Case 2---smart material handling in production
280(2)
4.3 Case 3---smart planning and control in warehousing
282(1)
4.4 Case 4---smart material handling in warehousing
283(2)
5 Conclusions and future research perspective
285(4)
References
286(3)
17 Automotive supply chain digitalization: lessons and perspectives
Nathalie Fabbe-Costes
Lucie Lechaptois
1 Introduction
289(1)
2 Overview of SC digitalization in the automotive sector
290(6)
2.1 Era 1---Industry 2.0 and fragmented operations digitalization---1950--1970s
290(1)
2.2 Era 2---toward internal and local SC digitalization (local integration)---1980s
291(1)
2.3 Era 3---toward extended interorganizational SC digitalization---1990s
292(1)
2.4 Era 4---total integration and interconnected SCs digitalization---2000s
293(1)
2.5 Era 5---Industry 4.0, full SC digitalization---from the 2010s
294(2)
2.6 The coevolution of information systems and automotive supply chains
296(1)
3 Lessons from the SC digitalization of a car manufacturer
296(8)
3.1 Understanding the SC digitalization strategy and processes of a car manufacturer
299(3)
3.2 Lessons from the SC digitalization process experience
302(2)
4 Conclusions
304(5)
4.1 What?
304(1)
4.2 Why?
304(1)
4.3 How?
305(1)
Acknowledgements
305(1)
References
305(4)
18 Digitalization of the international shipping and maritime logistics industry: a case study of TradeLens
Wafaa A.H. Ahmed
Alexa Rios
1 Introduction
309(2)
2 Methodology
311(1)
3 Digitalization in the maritime industry
312(1)
4 Tradelens: A blockchain-enabled digital solution in the shipping industry
313(5)
4.1 Background
313(1)
4.2 TradeLens use cases
314(2)
4.3 TradeLens SWOT analysis
316(2)
5 Impact of shipping industry digitalization on the shipping ecosystem
318(3)
6 Discussion and conclusion
321(4)
References
321(4)
19 How can SMEs participate successfully in Industry 4.0 ecosystems?
Guilherme Brittes Benitez
Nestor Fabian Ayala
Alejandro German Frank
1 Introduction
325(1)
2 Supply chain technology solution provision in Industry 4.0
326(1)
3 Methodology
327(1)
4 Starting collaboration---an Open Innovation approach for Industry 4.0 technology solution provision in supply chains
328(1)
5 Reshaping linear supply chains to become innovation ecosystems
329(1)
6 Expanding relationships---a Social Exchange view in innovation ecosystems for Industry 4.0 technology solution provision
330(2)
7 From supply chains to a platform-driven ecosystem structure
332(1)
8 Maturing technologies---a Boundary-Spanning perspective for Industry 4.0 platforms
332(2)
9 A conceptual model for Industry 4.0 technology solution provision
334(2)
10 Conclusions
336(7)
Acknowledgments
337(1)
References
337(6)
Part V Research frontiers in the Digital Supply Chain
20 Network Science for the Supply Chain: Theory, methods, and empirical results
Guven Demirel
1 Introduction
343(1)
2 An outline of supply network analysis
344(2)
2.1 Data selection or generation
344(1)
2.2 Network analysis software and data preprocessing
345(1)
2.3 Descriptive network analysis
345(1)
2.4 Mathematical, simulation, and statistical analysis
346(1)
3 Data sources for supply network analysis
346(1)
4 Network basics
346(1)
5 Structure of supply networks: theory, methods, and empirical results
347(8)
5.1 Node-level network measures
347(6)
5.2 Structural properties of supply networks
353(2)
6 Effects of network structure on performance
355(2)
6.1 Network structure and operational and financial performance
355(1)
6.2 Network structure and resilience
356(1)
6.3 Supply network structure and innovation
357(1)
7 Conclusions
357(4)
References
358(3)
21 Deployment considerations for implementing blockchain technology in the pharmaceutical industry
Matthew Liotine
1 Introduction
361(1)
2 Blockchain overview
361(1)
3 Supply chain benefits of blockchain
362(1)
4 Pharmaceutical industry applications
363(2)
4.1 Track and trace
364(1)
4.2 Supply integrity and safety
364(1)
4.3 Inventory management
365(1)
4.4 Clinical trial management
365(1)
5 Pharmaceutical blockchain reference model
365(4)
5.1 Implementation issues
367(1)
5.2 Authenticity nonverification
367(1)
5.3 Nonsaleable returns
368(1)
5.4 Improper commissioning
368(1)
5.5 Information flow interruption
368(1)
5.6 Delivery disturbances
368(1)
5.7 Unfit for commerce
368(1)
5.8 Error processing
368(1)
5.9 Security and confidentiality
368(1)
5.10 Recall
369(1)
5.11 Declared emergency
369(1)
5.12 Counterfeits
369(1)
6 Scaling issue analysis
369(6)
6.1 Illustrative example
370(1)
6.2 Generalized example
371(4)
7 Research areas for implementation feasibility
375(1)
7.1 Scalability and data management
375(1)
7.2 Data obfuscation
375(1)
7.3 Permission and access
375(1)
7.4 Collaboration
375(1)
7.5 Cost models
375(1)
7.6 Comparative studies
376(1)
8 Summary and conclusions
376(3)
References
376(3)
22 Digital supply chain surveillance: concepts, challenges, and frameworks
Alexandra Brintrup
Edward Elson Kosasih
Bart L. MacCarthy
Guven Demirel
1 Introduction
379(2)
2 SDAR---surveillance, detection, action, response
381(1)
3 Supply chain surveillance activities
382(3)
4 The role of Al in DSCS
385(3)
5 Challenges in the application of DSCS---an illustrative example
388(4)
5.1 Problem formulation and solution approaches
388(3)
5.2 Technical challenges
391(1)
5.3 Managerial challenges
391(1)
6 Conclusions
392(5)
References
392(5)
23 Sustainability and the digital supply chain
Ahmad Beltagui
Breno Nunes
Stefan Gold
1 Introduction
397(1)
2 The emergence of a digital supply chain
398(1)
3 Sustainability in the digital supply chain
399(1)
4 Building a sustainable digital supply chain
400(1)
5 Driving down urban emissions---the case of the Electric Vehicle (EV) supply chain
401(4)
5.1 Historical perspective
402(1)
5.2 EV supply chain (un)sustainability
402(1)
5.3 Product architecture
403(1)
5.4 Digital technologies in EVs and EV supply chains
404(1)
5.5 Sustainability and the digital EV supply chain
405(1)
6 Global food supply chains---the case of the beef supply chain
405(5)
6.1 Historical perspective
405(3)
6.2 Beef supply chain (un)sustainability
408(1)
6.3 Sustainable alternatives to beef production
408(1)
6.4 Sustainability and the digital food supply chain
409(1)
7 Implications for theory, practice, and policy
410(2)
8 Conclusions and research agenda
412(7)
8.1 Harnessing data for sustainability evaluation
412(1)
8.2 Transparent may not always mean sustainable
413(1)
8.3 Tensions and paradoxes
413(1)
8.4 New solutions, same problems
413(1)
References
413(6)
24 Reconceptualizing supply chain strategy for the digital era: achieving digital ambidexterity through dynamic capabilities
Eric Lambourdiere
Elsa Corbin
Jerome Verny
1 Introduction
419(1)
2 Literature review
420(4)
2.1 Dynamic capabilities
420(1)
2.2 Organizational ambidexterity
421(1)
2.3 Supply chain theory foundations and evolution
421(1)
2.4 Contemporary supply chain challenges
422(1)
2.5 The supply chain of the future and the shifting theoretical foundations of SCM
422(1)
2.6 New digital technologies (NDTs) to create higher-order capabilities for supply chain components, processes, networks and flows (SCMCs, SCMPs, SCNSs, and SCFs)
423(1)
3 Conceptual framework and system of relationships
424(2)
4 Building digital supply chain capabilities (DSCCs)
426(3)
4.1 Supply chain visibility capabilities (sensing)
426(1)
4.2 Supply chain agility capabilities (seizing)
426(1)
4.3 Supply chain flexibility capabilities (transforming)
427(1)
4.4 Dynamic supply chain capabilities as a prerequisite of supply chain ambidexterity
427(1)
4.5 Supply chain ambidexterity and DSCCs
427(1)
4.6 The relationship between DSCCs and business performance
428(1)
5 Theoretical implications---achieving digital ambidexterity
429(1)
6 Managerial implications
429(1)
7 Conclusions and further research
430(5)
References
430(5)
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Bart L. MacCarthy is Professor of Operations Management at Nottingham University Business School. He teaches at Executive, MBA, and Masters levels in operations, supply chain, and project management. His research spans the analysis, modelling, and management of operational systems and supply chains, combining quantitative and qualitative methodologies. Current research interests include the evolution of supply chains, and the impact of digitalization, cloud-based systems, platforms and Blockchain technology on the discipline of Operations and Supply Chain Management. He has published widely in the Operations, Supply Chain, and Management Science literatures. He was Vice-President and Board Member for the Decision Sciences Institute (2020- 2024), was European Editor for the International Journal of Production Economics, and Consulting Editor for the International Journal of Operations and Production Management. He is a Fellow of the Institute of Mathematics and its Applications, the Chartered Institute of Transport and Logistics, and the Institution of Engineering and Technology. Dmitry Ivanov is Professor of Supply Chain and Operations Management at the Berlin School of Economics and Law. He is Deputy Director and executive board member of Institute for Logistics, and Faculty Director for the MA in Global Supply Chain and Operations Management. He has taught for more than 20 years in operations management, supply chain management, logistics, management information systems, and strategic management at undergraduate, masters, PhD, and executive MBA levels worldwide. His research explores structural dynamics and control in complex networks, with applications to supply chain resilience, Industry 4.0 systems, supply chain simulation, risk analytics and digital supply chain twins. He has been Chairman, IPC and Advisory Board member for over 50 international conferences in supply chain and operations management, industrial engineering, control and information sciences. Prior to becoming an academic, he was engaged in industry and consulting for process optimization in manufacturing, logistics and ERP systems.
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