Examining the nexus of blockchain technology and digital twins: Bibliometric evidence and research trends

Xiaozhi MA, Wenbo DU, Lingyue LI, Jing LIU, Hongping YUAN

PDF(4934 KB)
PDF(4934 KB)
Front. Eng ›› 2024, Vol. 11 ›› Issue (3) : 481-500. DOI: 10.1007/s42524-024-0306-4
Technology and Innovation Management
REVIEW ARTICLE

Examining the nexus of blockchain technology and digital twins: Bibliometric evidence and research trends

Author information +
History +

Abstract

The integration of Blockchain Technology (BT) with Digital Twins (DTs) is becoming increasingly recognized as an effective strategy to enhance trust, interoperability, and data privacy in virtual spaces such as the metaverse. Although there is a significant body of research at the intersection of BT and DTs, a thorough review of the field has not yet been conducted. This study performs a systematic literature review on BT and DTs, using the CiteSpace analytic tool to evaluate the content and bibliometric information. The review covers 976 publications, identifying the significant effects of BT on DTs and the integration challenges. Key themes emerging from keyword analysis include augmented reality, smart cities, smart manufacturing, cybersecurity, lifecycle management, Ethereum, smart grids, additive manufacturing, blockchain technology, and digitalization. Based on this analysis, the study proposes a development framework for BT-enhanced DTs that includes supporting technologies and applications, main applications, advantages and functionalities, primary contexts of application, and overarching goals and principles. Additionally, an examination of bibliometric data reveals three developmental phases in cross-sectional research on BT and DTs: technology development, technology use, and technology deployment. These phases highlight the research field’s evolution and provide valuable direction for future studies on BT-enhanced DTs.

Graphical abstract

Keywords

blockchain technology / digital twin / literature review / bibliometric analysis / research trend

Cite this article

Download citation ▾
Xiaozhi MA, Wenbo DU, Lingyue LI, Jing LIU, Hongping YUAN. Examining the nexus of blockchain technology and digital twins: Bibliometric evidence and research trends. Front. Eng, 2024, 11(3): 481‒500 https://doi.org/10.1007/s42524-024-0306-4

References

[1]
AbeleEBauernhansl TKrügerJReinhartGSchuhG (2016). WGP-Standpunkt Industrie 4.0. WGP, Berlin
[2]
Abou El Houda Z, Brik B, (2023). Next-power: Next-generation framework for secure and sustainable energy trading in the metaverse. Ad Hoc Networks, 149: 103243
CrossRef Google scholar
[3]
Adu-Amankwa N A N, Pour Rahimian F, Dawood N, Park C, (2023). Digital Twins and Blockchain technologies for building lifecycle management. Automation in Construction, 155: 105064
CrossRef Google scholar
[4]
Akash S S, Ferdous M S, (2022). A blockchain based system for healthcare digital twin. IEEE Access: Practical Innovations, Open Solutions, 10: 50523–50547
CrossRef Google scholar
[5]
Alam K M, El Saddik A, (2017). C2PS: A digital twin architecture reference model for the cloud-based cyber-physical systems. IEEE Access: Practical Innovations, Open Solutions, 5: 2050–2062
CrossRef Google scholar
[6]
Alammary A, Alhazmi S, Almasri M, Gillani S, (2019). Blockchain-based applications in education: A systematic review. Applied Sciences, 9( 12): 2400
CrossRef Google scholar
[7]
Alles M, Gray G L, (2020). The first mile problem: Deriving an endogenous demand for auditing in blockchain-based business processes. International Journal of Accounting Information Systems, 38: 100465
CrossRef Google scholar
[8]
Banaeian Far S B, Rad A I, Hosseini Bamakan S M, Asaar M R, (2023). Toward Metaverse of everything: Opportunities, challenges, and future directions of the next generation of visual/virtual communications. Journal of Network and Computer Applications, 217: 103675
CrossRef Google scholar
[9]
Bar-Ilan J, (2018). Tale of three databases: The implication of coverage demonstrated for a sample query. Frontiers in Research Metrics and Analytics, 3( 6): 6
CrossRef Google scholar
[10]
Barricelli B R, Casiraghi E, Fogli D, (2019). A survey on digital twin: Definitions, characteristics, applications, and design implications. IEEE Access: Practical Innovations, Open Solutions, 7: 167653–167671
CrossRef Google scholar
[11]
Beniiche A, Rostami S, Maier M, (2022). Society 5.0: Internet as if people mattered. IEEE Wireless Communications, 29( 6): 160–168
CrossRef Google scholar
[12]
Berneis M, Winkler H, (2021). Value proposition assessment of blockchain technology for luxury, food, and healthcare supply chains. Logistics, 5( 4): 85
CrossRef Google scholar
[13]
Bhatti G, Mohan H, Raja Singh R, (2021). Towards the future of smart electric vehicles: Digital twin technology. Renewable & Sustainable Energy Reviews, 141: 110801
CrossRef Google scholar
[14]
Bhushan B, Khamparia A, Sagayam K M, Sharma S K, Ahad M A, Debnath N C, (2020). Blockchain for smart cities: A review of architectures, integration trends and future research directions. Sustainable Cities and Society, 61: 102360
CrossRef Google scholar
[15]
BruzzoneA GMassei MSinelshchikovK (2019). Application of blockchain in interoperable simulation for strategic decision making. In: Proceedings of the 2019 Summer Simulation Conference, 1–10
[16]
Casino F, Dasaklis T, Patsakis C, (2019). A systematic literature review of blockchain-based applications: current status, classification and open issues. Telematics and Informatics, 36: 55–81
CrossRef Google scholar
[17]
Chan A P, Ma X, Yi W, Zhou X, Xiong F, (2018). Critical review of studies on building information modeling (BIM) in project management. Frontiers of Engineering Management, 5( 3): 394–406
[18]
ChenC (2016). CiteSpace: A Practical Guide for Mapping Scientific Literature. Hauppauge: Nova Science Publishers, 41–44
[19]
Chen Q, Srivastava G, Parizi R M, Aloqaily M, Ridhawi I A, (2020). An incentive-aware blockchain-based solution for internet of fake media things. Information Processing & Management, 57( 6): 102370
CrossRef Google scholar
[20]
Chen X, Tang X, Xu X, (2023). Digital technology-driven smart society governance mechanism and practice exploration. Frontiers of Engineering Management, 10( 2): 319–338
CrossRef Google scholar
[21]
Christidis K, Devetsikiotis M, (2016). Blockchains and smart contracts for the Internet of Things. IEEE Access: Practical Innovations, Open Solutions, 4: 2292–2303
CrossRef Google scholar
[22]
Cimino C, Negri E, Fumagalli L, (2019). Review of digital twin applications in manufacturing. Computers in Industry, 113: 103130
CrossRef Google scholar
[23]
De Sutter B, Van Den Oord A, (2012). To be or not to be cited in computer science. Communications of the ACM, 55( 8): 69–75
CrossRef Google scholar
[24]
Denter N M, Seeger F, Moehrle M G, (2023). How can Blockchain technology support patent management? A systematic literature review. International Journal of Information Management, 68: 102506
CrossRef Google scholar
[25]
Di Vaio A, Hassan R, Palladino R, (2023). Blockchain technology and gender equality: A systematic literature review. International Journal of Information Management, 68: 102517
CrossRef Google scholar
[26]
Dietz M, Pernul G, (2020). Digital twin: Empowering enterprises towards a system-of-systems approach. Business & Information Systems Engineering, 62( 2): 179–184
CrossRef Google scholar
[27]
DingW WLiang XHouJWangGYuanY LiJWangF Y (2021). Parallel governance for decentralized autonomous organizations enabled by blockchain and smart Contracts. In: Proceedings of 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI), IEEE, 1–4
[28]
Du W, Ma X, Yuan H, Zhu Y, (2022). Blockchain technology-based sustainable management research: The status quo and a general framework for future application. Environmental Science and Pollution Research International, 29( 39): 58648–58663
CrossRef Google scholar
[29]
Elghaish F, Hosseini M R, Kocaturk T, Arashpour M, Bararzadeh Ledari M, (2023). Digitalised circular construction supply chain: An integrated BIM-Blockchain solution. Automation in Construction, 148: 104746
CrossRef Google scholar
[30]
Fosso Wamba S, Queiroz M M, Trinchera L, (2020). Dynamics between blockchain adoption determinants and supply chain performance: An empirical investigation. International Journal of Production Economics, 229: 107791
CrossRef Google scholar
[31]
Fragapane G, Ivanov D, Peron M, Sgarbossa F, Strandhagen J O, (2022). Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics. Annals of Operations Research, 308( 1–2): 125–143
CrossRef Google scholar
[32]
França A, Neto J A, Gonçalves R, Almeida C, (2023). Proposing the use of blockchain to improve the solid waste management in small municipalities. Journal of Cleaner Production, 2020, 244: 118529
[33]
Gaikwad M, Ahirrao S, Phansalkar S, Kotecha K, (2021). Online extremism detection: A systematic literature review with emphasis on datasets, classification techniques, validation methods, and tools. IEEE Access: Practical Innovations, Open Solutions, 9: 48364–48404
CrossRef Google scholar
[34]
Gajek S, Lees M, Jansen C, (2021). IIoT and cyber-resilience. AI & Society, 36( 3): 725–735
CrossRef Google scholar
[35]
Gonzalez Camacho L A, Alves-Souza S N, (2018). Social network data to alleviate cold-start in recommender system: A systematic review. Information Processing & Management, 54( 4): 529–544
CrossRef Google scholar
[36]
Gopal L, Singh H, Mounica P, Mohankumar N, Challa N P, Jayaraman P, (2023). Digital twin and IOT technology for secure manufacturing systems. Measurement. Sensors, 25: 100661
[37]
GrievesM W (2005a). Product lifecycle management: Driving the next generation of lean thinking. The McGraw-Hill Company, Inc., New York
[38]
Grieves M W, (2005b). Product lifecycle management: The new paradigm for enterprises. International Journal of Product Development, 2( 1–2): 71–84
CrossRef Google scholar
[39]
GrievesM W (2019). Virtually intelligent product systems: Digital and physical twins. In: Flumerfelt S, Katherine G S, Mavris D, Briceno S, eds., Complex Systems Engineering: Theory and Practice, American Institute of Aeronautics and Astronautics, 175–200
[40]
GuoDLingS LiHAoD ZhangTRong YHuangG Q (2020). A framework for personalized production based on digital twin, blockchain and additive manufacturing in the context of Industry 4.0. In:Proceedings of 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), IEEE, 1181–1186
[41]
HakimiOLiu HAbudayyehO (2024). Digital twin-enabled smart facility management: A bibliometric review. Frontiers of Engineering Management
[42]
Hasan H R, Salah K, Jayaraman R, Omar M, Yaqoob I, Pesic S, Taylor T, Boscovic D, (2020). A blockchain-based approach for the creation of digital twins. IEEE Access: Practical Innovations, Open Solutions, 8: 34113–34126
CrossRef Google scholar
[43]
Hemdan E E D, El-Shafai W, Sayed A, (2023). Integrating digital twins with IoT-based blockchain: Concept, architecture, challenges, and future scope. Wireless Personal Communications, 131( 3): 2193–2216
CrossRef Google scholar
[44]
Huang S, Wang G, Yan Y, Fang X, (2020). Blockchain-based data management for digital twin of product. Journal of Manufacturing Systems, 54: 361–371
CrossRef Google scholar
[45]
Hunhevicz J J, Motie M, Hall D M, (2022). Digital building twins and blockchain for performance-based (smart) contracts. Automation in Construction, 133: 103981
CrossRef Google scholar
[46]
Huynh-The T, Gadekallu T R, Wang W, Yenduri G, Ranaweera P, Pham Q V, da Costa D B, Liyanage M, (2023). Blockchain for the metaverse: A review. Future Generation Computer Systems, 143: 401–419
CrossRef Google scholar
[47]
Islam I, Munim K M, Oishwee S J, Islam A N, Islam M N, (2020). A critical review of concepts, benefits, and pitfalls of blockchain technology using concept map. IEEE Access: Practical Innovations, Open Solutions, 8: 68333–68341
CrossRef Google scholar
[48]
Jiang L, Zheng H, Tian H, Xie S, Zhang Y, (2022). Cooperative federated learning and model update verification in blockchain empowered digital twin edge networks. IEEE Internet of Things Journal, 9( 13): 11154–11167
CrossRef Google scholar
[49]
Jiang Y, Liu X, Kang K, Wang Z, Zhong R Y, Huang G Q, (2021). Blockchain-enabled cyber-physical smart modular integrated construction. Computers in Industry, 133: 103553
CrossRef Google scholar
[50]
Jones D, Snider C, Nassehi A, Yon J, Hicks B, (2020). Characterising the Digital Twin: A systematic literature review. CIRP Journal of Manufacturing Science and Technology, 29: 36–52
CrossRef Google scholar
[51]
Kamble S S, Gunasekaran A, Parekh H, Mani V, Belhadi A, Sharma R, (2022). Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework. Technological Forecasting and Social Change, 176: 121448
CrossRef Google scholar
[52]
KanakAUgur NErgunS (2019). A visionary model on blockchain-based accountability for secure and collaborative digital twin environments. In: Proceedings of 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), IEEE, 3512–3517
[53]
Kirli D, Couraud B, Robu V, Salgado-Bravo M, Norbu S, Andoni M, Antonopoulos I, Negrete-Pincetic M, Flynn D, Kiprakis A, (2022). Smart contracts in energy systems: A systematic review of fundamental approaches and implementations. Renewable & Sustainable Energy Reviews, 158: 112013
CrossRef Google scholar
[54]
Kumar P, Kumar R, Aljuhani A, Javeed D, Jolfaei A, Islam A N, (2023). Digital twin-driven SDN for smart grid: A deep learning integrated blockchain for cybersecurity. Solar Energy, 263: 111921
CrossRef Google scholar
[55]
Labbé C, Labbé D, (2013). Duplicate and fake publications in the scientific literature: How many SCIgen papers in computer science?. Scientometrics, 94( 1): 379–396
CrossRef Google scholar
[56]
Liberati A, Altman D G, Tetzlaff J, Mulrow C, Gøtzsche P C, Ioannidis J P, Clarke M, Devereaux P J, Kleijnen J, Moher D, (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. Annals of Internal Medicine, 151( 4): W-65
CrossRef Google scholar
[57]
Lee J, Azamfar M, Singh J, (2019). A blockchain enabled Cyber-Physical System architecture for Industry 4.0 manufacturing systems. Manufacturing Letters, 20: 34–39
CrossRef Google scholar
[58]
Lee J, Ni J, Singh J, Jiang B, Azamfar M, Feng J, (2020). Intelligent maintenance systems and predictive manufacturing. Journal of Manufacturing Science and Engineering, 142( 11): 110805
CrossRef Google scholar
[59]
Leng J, Jiang P, Xu K, Liu Q, Zhao J L, Bian Y, Shi R, (2019). Makerchain: A blockchain with chemical signature for self-organizing process in social manufacturing. Journal of Cleaner Production, 234: 767–778
CrossRef Google scholar
[60]
Leng J, Ruan G, Jiang P, Xu K, Liu Q, Zhou X, Liu C, (2020a). Blockchain-empowered sustainable manufacturing and product lifecycle management in Industry 4.0: A survey. Renewable & Sustainable Energy Reviews, 132: 110112
CrossRef Google scholar
[61]
Leng J, Yan D, Liu Q, Xu K, Zhao J L, Shi R, Wei L, Zhang D, Chen X, (2020b). ManuChain: Combining permissioned blockchain with a holistic optimization model as bi-level intelligence for smart manufacturing. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50( 1): 182–192
CrossRef Google scholar
[62]
Leng J, Ye S, Zhou M, Zhao J L, Liu Q, Guo W, Cao W, Fu L, (2021). Blockchain-secured smart manufacturing in Industry 4.0: A survey. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51( 1): 237–252
CrossRef Google scholar
[63]
Leng J, Zhu X, Huang Z, Xu K, Liu Z, Liu Q, Chen X, (2023). ManuChain II: Blockchained smart contract system as the digital twin of decentralized autonomous manufacturing toward resilience in Industry 5.0. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53( 8): 4715–4728
CrossRef Google scholar
[64]
Li J, Kassem M, (2021). Applications of distributed ledger technology (DLT) and Blockchain-enabled smart contracts in construction. Automation in Construction, 132: 103955
CrossRef Google scholar
[65]
Li X, Lu W, Xue F, Wu L, Zhao R, Lou J, Xu J, (2022). Blockchain-enabled IoT-BIM platform for supply chain management in modular construction. Journal of Construction Engineering and Management, 148( 2): 04021195
CrossRef Google scholar
[66]
Li X, Wu P, Shen G Q, Wang X, Teng Y, (2017). Mapping the knowledge domains of Building Information Modeling (BIM): A bibliometric approach. Automation in Construction, 84: 195–206
CrossRef Google scholar
[67]
Liu S, Lu Y, Li J, Shen X, Sun X, Bao J, (2023a). A blockchain-based interactive approach between digital twin-based manufacturing systems. Computers & Industrial Engineering, 175: 108827
CrossRef Google scholar
[68]
Liu W, Liu X, Shi X, Hou J, Shi V, Dong J, (2023b). Collaborative adoption of blockchain technology: A supply chain contract perspective. Frontiers of Engineering management, 10( 1): 121–142
[69]
LuY (2021). The current status and developing trends of Industry 4.0: A review. Information Systems Frontiers
[70]
Lu Y, Huang X, Zhang K, Maharjan S, Zhang Y, (2021). Low-latency federated learning and blockchain for edge association in digital twin empowered 6G networks. IEEE Transactions on Industrial Informatics, 17( 7): 5098–5107
CrossRef Google scholar
[71]
Lupi F, Cimino M G, Berlec T, Galatolo F A, Corn M, Rožman N, Rossi A, Lanzetta M, (2023). Blockchain-based shared additive manufacturing. Computers & Industrial Engineering, 183: 109497
CrossRef Google scholar
[72]
Mandolla C, Petruzzelli A M, Percoco G, Urbinati A, (2019). Building a digital twin for additive manufacturing through the exploitation of blockchain: A case analysis of the aircraft industry. Computers in Industry, 109: 134–152
CrossRef Google scholar
[73]
Manocha A, Afaq Y, Bhatia M, (2023). Digital Twin-assisted Blockchain-inspired irregular event analysis for eldercare. Knowledge-Based Systems, 260: 110138
CrossRef Google scholar
[74]
Mazzei D, Baldi G, Fantoni G, Montelisciani G, Pitasi A, Ricci L, Rizzello L, (2020). A blockchain tokenizer for industrial IOT trustless applications. Future Generation Computer Systems, 105: 432–445
CrossRef Google scholar
[75]
Moher D, Liberati A, Tetzlaff J, Altman D G, & Prisma Group, (2010). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. International journal of surgery, 8( 5): 336–341
CrossRef Google scholar
[76]
Muralidharan S, Yoo B, Ko H, (2023). Decentralized ME-centric framework—A futuristic architecture for consumer IoT. IEEE Consumer Electronics Magazine, 12( 3): 39–50
CrossRef Google scholar
[77]
Nabeeh N A, Abdel-Basset M, Gamal A, Chang V, (2022). Evaluation of production of digital twins based on blockchain technology. Electronics, 11( 8): 1268
CrossRef Google scholar
[78]
NikanderPAutiosalo JPaavolainenS (2019). Interledger for the industrial internet of things. In: Proceedings of 2019 IEEE 17th International Conference on Industrial Informatics (INDIN), IEEE, 908–915
[79]
Park Y, (1999). Technology diffusion policy: A review and classification of policy practices. Technology in Society, 21( 3): 275–286
CrossRef Google scholar
[80]
Putz B, Dietz M, Empl P, Pernul G, (2021). Ethertwin: Blockchain-based secure digital twin information management. Information Processing & Management, 58( 1): 102425
CrossRef Google scholar
[81]
Qi Q, Tao F, (2018). Digital twin and big data towards smart manufacturing and Industry 4.0: 360 degree comparison. IEEE Access: Practical Innovations, Open Solutions, 6: 3585–3593
CrossRef Google scholar
[82]
Qi Q, Tao F, Hu T, Anwer N, Liu A, Wei Y, Wang L, Nee A, (2021). Enabling technologies and tools for digital twin. Journal of Manufacturing Systems, 58: 3–21
CrossRef Google scholar
[83]
Raj P, (2021). Demystifying the blockchain technology. Advances in Computers, 121: 1–42
CrossRef Google scholar
[84]
Rajasekaran A S, Azees M, Al-Turjman F, (2022). A comprehensive survey on blockchain technology. Sustainable Energy Technologies and Assessments, 52: 102039
CrossRef Google scholar
[85]
Raja Santhi A R, Muthuswamy P, (2023). Industry 5.0 or Industry 4.0 S? Introduction to Industry 4.0 and a peek into the prospective industry 5.0 technologies. International Journal on Interactive Design and Manufacturing, 17( 2): 947–979
CrossRef Google scholar
[86]
Rantala T, Ukko J, Nasiri M, Saunila M, (2023). Shifting focus of value creation through industrial digital twins—From internal application to ecosystem-level utilization. Technovation, 125: 102795
CrossRef Google scholar
[87]
Rejeb A, Keogh J G, Treiblmaier H, (2020). How blockchain technology can benefit marketing: Six pending research areas. Frontiers in Blockchain, 3( 3): 3–12
CrossRef Google scholar
[88]
Sahal R, Alsamhi S H, Brown K N, O’Shea D, Alouffi B, (2022). Blockchain-based digital twins collaboration for smart pandemic alerting: decentralized COVID-19 pandemic alerting use case. Computational Intelligence and Neuroscience, 2022: 1–14
CrossRef Google scholar
[89]
Sahal R, Alsamhi S H, Brown K N, O’Shea D, McCarthy C, Guizani M, (2021). Blockchain-empowered digital twins collaboration: Smart transportation use case. Machines, 9( 9): 193
CrossRef Google scholar
[90]
Salvi A, Spagnoletti P, Noori N S, (2022). Cyber-resilience of critical cyber infrastructures: Integrating digital twins in the electric power ecosystem. Computers & Security, 112: 102507
CrossRef Google scholar
[91]
Santana C, Albareda L, (2022). Blockchain and the emergence of Decentralized Autonomous Organizations (DAOs): An integrative model and research agenda. Technological Forecasting and Social Change, 182: 121806
CrossRef Google scholar
[92]
Soares do Amaral J V, Montevechi J A B, de Carvalho M R, de Sousa J W T, (2022). Metamodel-based simulation optimization: A systematic literature review. Simulation Modelling Practice and Theory, 114: 102403
CrossRef Google scholar
[93]
Sasikumar A, Vairavasundaram S, Kotecha K, Indragandhi V, Ravi L, Selvachandran G, Abraham A, (2023). Blockchain-based trust mechanism for digital twin empowered industrial internet of things. Future Generation Computer Systems, 141: 16–27
CrossRef Google scholar
[94]
Scott D J, Broyd T, Ma L, (2021). Exploratory literature review of blockchain in the construction industry. Automation in Construction, 132: 103914
CrossRef Google scholar
[95]
Semeraro C, Lezoche M, Panetto H, Dassisti M, (2021). Digital twin paradigm: A systematic literature review. Computers in Industry, 130: 103469
CrossRef Google scholar
[96]
Shi X, Chen S, Lai X, (2023). Blockchain adoption or contingent sourcing? Advancing food supply chain resilience in the post-pandemic era. Frontiers of Engineering Management, 10( 1): 107–120
CrossRef Google scholar
[97]
Singh R, Akram S V, Gehlot A, Buddhi D, Priyadarshi N, Twala B, (2022). Energy System 4.0: Digitalization of the energy sector with inclination towards sustainability. Sensors, 22( 17): 6619
CrossRef Google scholar
[98]
Smetana S, Aganovic K, Heinz V, (2021). Food supply chains as cyber-physical systems: A path for more sustainable personalized nutrition. Food Engineering Reviews, 13( 1): 92–103
CrossRef Google scholar
[99]
Song Z, Zhu J, (2022). Blockchain for smart manufacturing systems: A survey. Chinese Management Studies, 16( 5): 1224–1253
CrossRef Google scholar
[100]
Sood S K, Rawat K S, Kumar D, (2022). Analytical mapping of information and communication technology in emerging infectious diseases using CiteSpace. Telematics and Informatics, 69: 101796
CrossRef Google scholar
[101]
Stafford T F, Treiblmaier H, (2020). Characteristics of a blockchain ecosystem for secure and sharable electronic medical records. IEEE Transactions on Engineering Management, 67( 4): 1340–1362
CrossRef Google scholar
[102]
Suhail S, Hussain R, Jurdak R, Oracevic A, Salah K, Hong C S, Matulevičius R, (2022a). Blockchain-based digital twins: Research trends, issues, and future challenges. ACM Computing Surveys, 54( 11s): 1–34
CrossRef Google scholar
[103]
Suhail S, Malik S U R, Jurdak R, Hussain R, Matulevičius R, Svetinovic D, (2022b). Towards situational aware cyber-physical systems: A security-enhancing use case of blockchain-based digital twins. Computers in Industry, 141: 103699
CrossRef Google scholar
[104]
Suvarna M, Yap K S, Yang W, Li J, Ng Y T, Wang X, (2021). Cyber–physical production systems for data-driven, decentralized, and secure manufacturing—A perspective. Engineering, 7( 9): 1212–1223
CrossRef Google scholar
[105]
Tao F, Cheng J, Qi Q, Zhang M, Zhang H, Sui F, (2018). Digital twin-driven product design, manufacturing and service with big data. International Journal of Advanced Manufacturing Technology, 94( 9–12): 3563–3576
CrossRef Google scholar
[106]
Tao F, Zhang H, Liu A, Nee A Y, (2019). Digital twin in industry: State-of-the-art. IEEE Transactions on Industrial Informatics, 15( 4): 2405–2415
CrossRef Google scholar
[107]
Tao F, Zhang Y, Cheng Y, Ren J, Wang D, Qi Q, Li P, (2022). Digital twin and blockchain enhanced smart manufacturing service collaboration and management. Journal of Manufacturing Systems, 62: 903–914
CrossRef Google scholar
[108]
TreiblmaierHSillaberC (2020). A case study of blockchain-induced digital transformation in the public sector. In: Blockchain and Distributed Ledger Technology Use Cases, Springer, 227–244
[109]
Upadhyay N, (2020). Demystifying blockchain: A critical analysis of challenges, applications and opportunities. International Journal of Information Management, 54: 102120
CrossRef Google scholar
[110]
Vacca A, Di Sorbo A, Visaggio C A, Canfora G, (2021). A systematic literature review of blockchain and smart contract development: Techniques, tools, and open challenges. Journal of Systems and Software, 174: 110891
CrossRef Google scholar
[111]
ValeriM (2020). Blockchain technology: Adoption perspectives in tourism. In: Entrepreneurship and Organizational Change, Springer, 27–35
[112]
VanDerHorn E, Mahadevan S, (2021). Digital Twin: Generalization, characterization and implementation. Decision Support Systems, 145: 113524
CrossRef Google scholar
[113]
Wan Y, Gao Y, Hu Y, (2022). Blockchain application and collaborative innovation in the manufacturing industry: Based on the perspective of social trust. Technological Forecasting and Social Change, 177: 121540
CrossRef Google scholar
[114]
Wang C, Cai Z, Li Y, (2023). Sustainable blockchain-based digital twin management architecture for IoT devices. IEEE Internet of Things Journal, 10( 8): 6535–6548
CrossRef Google scholar
[115]
Wang F Y, Rudas I J, Wu D, Wang X, Yuan Y, Zhang J J, Li Y, Bennett G, Bassiri-Gharb N, (2021). Artificial identification, blockchain, cyberphysical social systems, digital twins, and parallel intelligence: Opportunities and synergies between the IEEE Council on radio-frequency identification and systems, Man, and Cybernetics Society. IEEE Systems, Man, and Cybernetics Magazine, 7( 2): 61–C4
CrossRef Google scholar
[116]
Wang L, Deng T, Shen Z J M, Hu H, Qi Y, (2022). Digital twin-driven smart supply chain. Frontiers of Engineering Management, 9( 1): 56–70
CrossRef Google scholar
[117]
Wang X V, Wang L, (2019). Digital twin-based WEEE recycling, recovery and remanufacturing in the background of Industry 4.0. International Journal of Production Research, 57( 12): 3892–3902
CrossRef Google scholar
[118]
Westerkamp M, Victor F, Küpper A, (2020). Tracing manufacturing processes using blockchain-based token compositions. Digital Communications and Networks, 6( 2): 167–176
CrossRef Google scholar
[119]
WishnowDRokhsari A HPashaeiR M (2019). A deep dive into disruptive technologies in the oil and gas industry. In: Proceedings of Offshore Technology Conference. Brasil, OnePetro
[120]
Wu L, Lu W, Peng Z, Webster C, (2023). A blockchain non-fungible token-enabled ‘passport’ for construction waste material cross-jurisdictional trading. Automation in Construction, 149: 104783
CrossRef Google scholar
[121]
Yan M, Gan W, Zhou Y, Wen J, Yao W, (2022). Projection method for blockchain-enabled non-iterative decentralized management in integrated natural gas-electric systems and its application in digital twin modelling. Applied Energy, 311: 118645
CrossRef Google scholar
[122]
Yang Z, Zhu C, Zhu Y, Li X, (2023). Blockchain technology in building environmental sustainability: A systematic literature review and future perspectives. Building and Environment, 245: 110970
CrossRef Google scholar
[123]
Yao X, Ma N, Zhang J, Wang K, Yang E, Faccio M, (2024). Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0. Journal of Intelligent Manufacturing, 35( 1): 235–255
CrossRef Google scholar
[124]
Yaqoob I, Salah K, Jayaraman R, (2023). Metaverse applications in smart cities: Enabling technologies, opportunities, challenges, and future directions. Internet of Things, 100884
[125]
Yaqoob I, Salah K, Uddin M, Jayaraman R, Omar M, Imran M, (2020). Blockchain for digital twins: Recent advances and future research challenges. IEEE Network, 34( 5): 290–298
CrossRef Google scholar
[126]
Zhang H, Liu Q, Chen X, Zhang D, Leng J, (2017). A digital twin-based approach for designing and multi-objective optimization of hollow glass production line. IEEE Access: Practical Innovations, Open Solutions, 5: 26901–26911
CrossRef Google scholar
[127]
Zhang J, Zhang X, Liu W, Ji M, Mishra A R, (2022). Critical success factors of blockchain technology to implement the sustainable supply chain using an extended decision-making approach. Technological Forecasting and Social Change, 182: 121881
CrossRef Google scholar
[128]
Zhang T, Doan D T, Kang J, (2023). Application of building information modeling-blockchain integration in the Architecture, Engineering, and Construction/Facilities Management industry: A review. Journal of Building Engineering, 77: 107551
CrossRef Google scholar
[129]
Zheng B K, Zhu L H, Shen M, Gao F, Zhang C, Li Y D, Yang J, (2018). Scalable and privacy-preserving data sharing based on blockchain. Journal of Computer Science and Technology, 33( 3): 557–567
CrossRef Google scholar
[130]
ZhengZXie SDaiHChenXWangH (2017). An overview of blockchain technology: Architecture, consensus, and future trends. In: 2017 IEEE international congress on big data (BigData Congress), Honolulu, HI, 557–564
[131]
Zhong R Y, Xu X, Klotz E, Newman S T, (2017). Intelligent manufacturing in the context of industry 4.0: A review. Engineering, 3( 5): 616–630
CrossRef Google scholar
[132]
Zhuo M, Liu L, Zhou S, Tian Z, (2021). Survey on security issues of routing and anomaly detection for space information networks. Scientific Reports, 11( 1): 22261
CrossRef Google scholar

Competing Interests

The authors declare that they have no competing interests.

Open Access

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

RIGHTS & PERMISSIONS

2024 The Author(s). This article is published with open access at link.springer.com and journal.hep.com.cn
AI Summary AI Mindmap
PDF(4934 KB)

Accesses

Citations

Detail

Sections
Recommended

/