IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v276y2024ics0925527324002391.html
   My bibliography  Save this article

Fine-grained digital twin sharing framework for smart construction through an incentive mechanism

Author

Listed:
  • Xiao, Jianhua
  • Ma, Siyuan
  • Wang, Shuyi
  • Huang, George Q.

Abstract

Prefabricated construction is increasingly applied in the construction industry. Recent academic and industrial efforts highlight that Digital Twin as a Service (DTaaS) is an innovative solution to strengthen the advantages of prefabricated construction by enabling continuous monitoring, precise control, and optimized maintenance of each unique module. However, the complexity of digital twins presents significant challenges for both platforms and subcontractors to apply and fully understand this technology. It is, therefore, crucial to develop a well-designed sharing environment where stakeholders volunteer to share their digital twin resources for synergistic benefits. This research proposes an innovative blockchain-based fine-grained digital twin sharing framework, with detailed architecture focused on two key stages of prefabricated construction: on-site construction and logistics involving warehousing and transport. An incentive mechanism is introduced to encourage all the stakeholders engaged in digital twin sharing framework to contribute and share more digital twin resources. Evolutionary and cooperative games explore the effective settings of the incentive policies, aiming to ensure the feasibility and sustainability of the proposed system by motivating users to share digital twins with fine granularity. Mathematical and numerical results demonstrate the optimal subsidy policies with/without budgetary constraints and further highlight the effectiveness of well-crafted incentives. Findings reveal that better performance in terms of profitability and digital twin sharing is achieved under the proposed incentives. Subsidies are primarily allocated to offset costs with a certain budget, whereas the emphasis shifts towards quality improvement under an ample budget. This study lays a solid foundation for digital twin reuse and development.

Suggested Citation

  • Xiao, Jianhua & Ma, Siyuan & Wang, Shuyi & Huang, George Q., 2024. "Fine-grained digital twin sharing framework for smart construction through an incentive mechanism," International Journal of Production Economics, Elsevier, vol. 276(C).
  • Handle: RePEc:eee:proeco:v:276:y:2024:i:c:s0925527324002391
    DOI: 10.1016/j.ijpe.2024.109382
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527324002391
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2024.109382?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yunke Mai & Bin Hu & Saša Pekeč, 2023. "Courteous or Crude? Managing User Conduct to Improve On-Demand Service Platform Performance," Management Science, INFORMS, vol. 69(2), pages 996-1016, February.
    2. Hao Yi Ong & Daniel Freund & Davide Crapis, 2021. "Driver Positioning and Incentive Budgeting with an Escrow Mechanism for Ridesharing Platforms," Papers 2104.14740, arXiv.org.
    3. Gu, Wei & Wei, Lirong & Zhang, Wenqing & Yan, Xiangbin, 2019. "Evolutionary game analysis of cooperation between natural resource- and energy-intensive companies in reverse logistics operations," International Journal of Production Economics, Elsevier, vol. 218(C), pages 159-169.
    4. Enno Siemsen & Sridhar Balasubramanian & Aleda V. Roth, 2007. "Incentives That Induce Task-Related Effort, Helping, and Knowledge Sharing in Workgroups," Management Science, INFORMS, vol. 53(10), pages 1533-1550, October.
    5. David, Pierre & Idasiak, Vincent & Kratz, Frédéric, 2010. "Reliability study of complex physical systems using SysML," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 431-450.
    6. Jia, Fu & Zhang, Shiyuan & Zheng, Xiao-Xue & Choi, Tsan-Ming, 2023. "A novel coordination mechanism to coordinate the multi-agent reverse supply chain with fairness concerns," International Journal of Production Economics, Elsevier, vol. 265(C).
    7. Sanjith Gopalakrishnan & Daniel Granot & Frieda Granot & Greys Sošić & Hailong Cui, 2021. "Incentives and Emission Responsibility Allocation in Supply Chains," Management Science, INFORMS, vol. 67(7), pages 4172-4190, July.
    8. Hao Yi Ong & Daniel Freund & Davide Crapis, 2021. "Driver Positioning and Incentive Budgeting with an Escrow Mechanism for Ride-Sharing Platforms," Interfaces, INFORMS, vol. 51(5), pages 373-390, September.
    9. Zhang, Mengdi & Shen, Qiao & Zhao, Zhiheng & Wang, Shuaian & Huang, George Q., 2024. "Commitment or rent-seeking? Government incentive policies for ESG reporting in sustainable e-commerce logistics," International Journal of Production Economics, Elsevier, vol. 268(C).
    10. Ding, Rui & Wang, Xianjia & Liu, Yang & Zhao, Jinhua & Gu, Cuiling, 2023. "Evolutionary games with environmental feedbacks under an external incentive mechanism," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
    11. Shihong Xiao & Ying-Ju Chen & Christopher S. Tang, 2020. "Knowledge Sharing and Learning Among Smallholders in Developing Economies: Implications, Incentives, and Reward Mechanisms," Operations Research, INFORMS, vol. 68(2), pages 435-452, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Mengdi & Yang, Wanting & Zhao, Zhiheng & Wang, Shuaian & Huang, George Q., 2024. "Do fairness concerns matter for ESG decision-making? Strategic interactions in digital twin-enabled sustainable semiconductor supply chain," International Journal of Production Economics, Elsevier, vol. 276(C).
    2. Daniel Freund & S'ebastien Martin & Jiayu Kamessi Zhao, 2024. "Two-Sided Flexibility in Platforms," Papers 2404.04709, arXiv.org, revised Nov 2024.
    3. Alex Chin & Zhiwei Qin, 2023. "A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency," Papers 2302.14358, arXiv.org.
    4. Sadiq, Muhammad & Nawaz, Muhammad Atif & Sharif, Arshian & Hanif, Sobia, 2024. "Bridging green supply chain practices and environmental performance in Chinese semiconductor sector: With the role of energy efficiency and green HRM," International Journal of Production Economics, Elsevier, vol. 277(C).
    5. Ali Hortaçsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Organizational Structure and Pricing: Evidence from a Large U.S. Airline," NBER Working Papers 29508, National Bureau of Economic Research, Inc.
    6. Thommes, Kirsten & Vyrastekova, Jana & Akkerman, Agnes, 2015. "Behavioral spillovers from freeriding in multilevel interactions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 56(C), pages 78-87.
    7. Gu Wang & Jiaxuan Ye, 2023. "Fund Managers’ Competition for Investment Flows Based on Relative Performance," Journal of Optimization Theory and Applications, Springer, vol. 198(2), pages 605-643, August.
    8. Ye, Jiangfeng & Wan, Qunchao & Li, Ruida & Yao, Zhu & Huang, Dujuan, 2022. "How do R&D agglomeration and economic policy uncertainty affect the innovative performance of Chinese high-tech industry?," Technology in Society, Elsevier, vol. 69(C).
    9. Lipaczewski, Michael & Ortmeier, Frank & Prosvirnova, Tatiana & Rauzy, Antoine & Struck, Simon, 2015. "Comparison of modeling formalisms for Safety Analyses: SAML and AltaRica," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 191-199.
    10. Hyun Seok (Huck) Lee & Saravanan Kesavan & Camelia Kuhnen, 2022. "When do group incentives for retail store managers work?," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3077-3095, August.
    11. David Anderson & Margrét Vilborg Bjarnadóttir & David Gaddis Ross, 2023. "Bridging the gap: Applying analytics to address gender pay inequity," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1846-1864, June.
    12. Cricelli, Livio & Greco, Marco & Grimaldi, Michele, 2021. "An investigation on the effect of inter-organizational collaboration on reverse logistics," International Journal of Production Economics, Elsevier, vol. 240(C).
    13. Nathalie Lazaric & Alain Raybaut, 2014. "Do incentive systems spur work motivation of inventors in high tech firms? A group-based perspective," Journal of Evolutionary Economics, Springer, vol. 24(1), pages 135-157, January.
    14. Tan, Zhijia & Shao, Shuai & Zhang, Di & Shang, Wen-Long & Ochieng, Washington & Han, Yi, 2024. "Decarbonizing the inland container fleet with carbon cap-and-trade scheme," Applied Energy, Elsevier, vol. 376(PB).
    15. Cressent, Robin & David, Pierre & Idasiak, Vincent & Kratz, Frederic, 2013. "Designing the database for a reliability aware Model-Based System Engineering process," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 171-182.
    16. Jiacheng, Wei & Lu, Liu & Francesco, Calabrese A., 2010. "A cognitive model of intra-organizational knowledge-sharing motivations in the view of cross-culture," International Journal of Information Management, Elsevier, vol. 30(3), pages 220-230.
    17. Xiaoyang Long & Javad Nasiry, 2020. "Wage Transparency and Social Comparison in Sales Force Compensation," Management Science, INFORMS, vol. 66(11), pages 5290-5315, November.
    18. Liu, Yuwen & Phillips, James S., 2011. "Examining the antecedents of knowledge sharing in facilitating team innovativeness from a multilevel perspective," International Journal of Information Management, Elsevier, vol. 31(1), pages 44-52.
    19. Li, Zhiwen & Xu, Xianhao & Bai, Qingguo & Chen, Cheng & Wang, Hongwei & Xia, Peng, 2023. "Implications of information sharing on blockchain adoption in reducing carbon emissions: A mean–variance analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 178(C).
    20. Jeremy Hutchison-Krupat, 2018. "Communication, Incentives, and the Execution of a Strategic Initiative," Management Science, INFORMS, vol. 64(7), pages 3380-3399, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:proeco:v:276:y:2024:i:c:s0925527324002391. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.