EDP Sciences logo
Subscriber Authentication Point
Sciengine logo
Search
Menu
All issues Volume 60 / No 2 (March-April 2026) RAIRO-Oper. Res., 60 2 (2026) 1151-1177 References
Open Access
Issue
RAIRO-Oper. Res.
Volume 60, Number 2, March-April 2026
Page(s) 1151 - 1177
DOI https://doi.org/10.1051/ro/2026004
Published online 06 May 2026
  • B. Hu and L.L. Wang, Enterprise organizational structure change under the environment of Internet of Things. Manage. World 36 (2019) 202–210+232+211. [Google Scholar]
  • J.X. Nan, L. Zhang, M.J. Zhang and D.F. Li, Two-type game model of multi-person cooperation and technological innovation decision in cloud service supply chain. Syst. Eng. Theory Pract. 41 (2021) 1771–1833. [Google Scholar]
  • S. Liu, W.Z. Han, Z. Zhang and F.T.S. Chan, An analysis of performance, pricing, and coordination in a supply chain with cloud services: the impact of data security. Comput. Ind. Eng. 192 (2024) 110237. [Google Scholar]
  • G.P. Jin, Improve the resilience and security level of industrial chain and supply chain. Econ. Dail. News. (2020). [Google Scholar]
  • Z. Tan, S.P. Parambath, C. Anagnostopoulos, J. Singer and A.K. Marnerides, Advanced persistent threats based on supply chain vulnerabilities: challenges, solutions, and future directions. IEEE Int. Things J. 12 (2025) 6371–6395. [Google Scholar]
  • J. Yu, X. Cui and C. Zhou, Blockchain adoption and consumer privacy concerns in a platform supply chain with manufacturer competition. RAIRO-Oper. Res. 59 (2025) 1935–1958. [Google Scholar]
  • Z. Li, X. Liang, Q. Wen and E.A. Wan, The analysis of financial network transaction risk control based on blockchain and edge computing technology. IEEE Trans. Eng. Manag. 71 (2024) 5669–5690. [Google Scholar]
  • Z. Qu, M. Dawande and G. Janakiraman, Technical noteCloud cost optimization: model, bounds, and asymptotics. Oper. Res. 72 (2024) 132150. [Google Scholar]
  • Ofcom, Cloud services market study final report. Ofcom Report (2023) 1–246. [Google Scholar]
  • X. Cao, H. Bo and X. Liu, Effects of different resource-sharing strategies in cloud manufacturing: a Stackelberg game-based approach. Int. Prod. Res. 61 (2023) 520–540. [Google Scholar]
  • J. Jiang, Z.Y. Gu, J.X. Gao and T.M. Chen, Research on Cloud tenant data security protection Model based on sensitivity level. Syst. Eng. Theory Pract. 34 (2014) 2392–2401. [Google Scholar]
  • J. Chen, S. Huang and Y.H. Liu, From enabling to enabling: Business Operation Management in the digital environment. Manage. World 36 (2020) 117–128. [Google Scholar]
  • Q.Q. Zhang, X.L. Han and W.L. Duan, 5G Supply chain security status and standardization suggestions. Res. Inf. Secur. 8 (2022) 158–164. [Google Scholar]
  • H.R. Nikkhah and V. Grover, Strategizing responses to data breaches: a multi-method study of organizational responsibility and effective communication with stakeholders. J. Manage. Inf. Syst. 41 (2024) 1042–1077. [Google Scholar]
  • Z. Xu and S. Cao, Multi-source data privacy protection method based on homomorphic encryption and blockchain. CMES-Comp. Model. Eng. Sci. 136 (2023) 861–881. [Google Scholar]
  • M. Sun, X.N. Ding and Q. Cheng, Federated learning scheme based on differential privacy. Comput. Sci. 51 (2024) 912–917. [Google Scholar]
  • Y. Cui, V. Gaur and J. Liu, Supply chain transparency and blockchain design. Manage. Sci. 70 (2024) 3245–3263. [Google Scholar]
  • Y.P. Tsang, Y. Fan, C.K.M. Lee and H.C.W. Lau, Blockchain sharding for e-commerce supply chain performance analytics towards Industry 5.0. Enterp. Inf. Syst. 18 (2024) 2311807. [Google Scholar]
  • Y.F. Yao, T. Liu and G.X. Tian, Improve the sustainability of supply chain: the role of carbon abatement and blockchain technology. RAIRO-Oper. Res. 59 (2025) 115–148. [Google Scholar]
  • K. Yang, H.B. Zhu, D. Li, W.B. Zhang, T. Yang and X.B. Tan, Load forecasting method of longitudinal federated learning Park based on compressed sensing. Electr. Power Inf. Commun. Technol. 22 (2024) 36–42. [Google Scholar]
  • M.W. Yang, V.S. Jacob and R. Srinivasan, Cloud service model's role in provider and user security investment incentives. Prod. Oper. Manage. 30 (2020) 419–437. [Google Scholar]
  • C.L. Stergiou, E. Bompoli and K.E. Psannis, Security and Privacy Issues in IoT-Based Big Data Cloud Systems in a Digital Twin Scenario. Appl. Sci. 13 (2023) 758–758. [Google Scholar]
  • J.M. Sun, Z.H. Liu and Y.Z. Jiang, Game study on synergistic effect of building supply chain based on blockchain. RAIRO-Oper. Res. 58 (2024) 865–879. [Google Scholar]
  • V. Chittipaka, S. Kumar, U. Sivarajah, J.L.H. Bowden and M.M. Baral, Blockchain Technology for Supply Chains operating in emerging markets: an empirical examination of technology-organization-environment (TOE) framework. Ann. Oper. Res. 327 (2023) 465–492. [Google Scholar]
  • A. Gorkhali, L. Li and A. Shrestha, Blockchain: a literature review. J. Manag. Anal. 7 (2020) 321–343. [Google Scholar]
  • Z. Fan, X. Wu and B. Cao, Considering the traceability awareness of consumers: Should the supply chain adopt the blockchain technology? Ann. Oper. Res. 309 (2020) 837–860. [Google Scholar]
  • Y.V.R.S. Viswanadham and K. Jayavel, Design & development of hybrid electric Fish-Harris Hawks optimization-based privacy preservation of data in supply chain network with block chain technology. Int. J. Inf. Technol. Decis. Mak. 23 (2024) 1601–1632. [Google Scholar]
  • I. Khan, Q.E. Ali, H.J. Hadi, N. Ahmad, G. Ali, Y. Cao and M.A. Alshara, Securing blockchain-based supply chain management: textual data encryption and access control. Technologies 12 (2024) 110. [Google Scholar]
  • C. Xu, Y. Qu, Y. Xiang, T.H. Luan and L. Gao, An optimized privacy-protected blockchain system for supply chain on internet of things. IEEE Int. Things 11 (2024) 9019–9030. [Google Scholar]
  • Z. Xiang, M. Wang and Y. Li, Blockchain technology investment decision and ordering strategy of fresh agricultural products retailers. Front. Eng. Manag. Technol. 43 (2024) 1–10. [Google Scholar]
  • S. Zhao and W. Li, Blockchain-based traceability system adoption decision in the dual-channel perishable goods market under different pricing policies. Int. J. Prod. Res. 61 (2023) 4548–4574. [Google Scholar]
  • G. Liu, Z. Li and J. Chen, Decision-making in the agricultural product supply chain based on blockchain technology. Int. J. Simul. Process Modell. 20 (2023) 71–86. [Google Scholar]
  • J. Wei, X. Zhang, Y. Liu and Y. Jiang, Blockchain-based information sharing and supply and demand matching cloud platform for automotive manufacturing supply chain. Ind. Manag. Data Syst. 125 (2024) 687–710. [Google Scholar]
  • F. Lupi, M.G. Cimino, T. Berlec, F.A. Galatolo, M. Corn, N. Rožman, A. Rossi and M. Lanzetta, Blockchain-based shared additive manufacturing. Comput. Ind. Eng. 183 (2023) 109497. [Google Scholar]
  • S.A. Radmanesh, A. Haji and O. Fatahi Valilai, Blockchain-based architecture for a sustainable supply chain in cloud architecture. Sustainability 15 (2023) 9072. [Google Scholar]
  • B. Niu, Z. Mu, B. Cao and J. Gao, Should multinational firms implement blockchain to provide quality verification? Transp. Res. Part E: Logist. Transp. Rev. 145 (2021) 102121. [Google Scholar]
  • C. Tan, R. Liu and C. Zhao, Research on vaccine supply chain pricing strategy based on blockchain technology. J. Manag. Eng. 36 (2022) 205–220. [Google Scholar]
  • D. Zhao and S. Chen, Research on pricing strategy of cloud manufacturing platform considering user time sensitivity. J. Manag. 18 (2021) 262–269. [Google Scholar]
  • X. Pan, Research on value-added service charging model based on Industrial Internet platform. China Manag. Sci. 30 (2022) 239–249. [Google Scholar]
  • L. Jiang, M.E. Mei and W. Zhong, Impact of percentage on Pricing Strategy of Mobile network operators. J. Syst. Eng. 28 (2013) 297–306+386. [Google Scholar]
  • H. Li and Q. Xiao, Research on pricing strategy of car-hailing market under aggregation model. Comput. Eng. Appl. 58 (14) 236–244. [Google Scholar]
  • R. Liu, C. Zhao and C. Tan, Game model and coordination strategy of vaccine supply chain under different charging conditions of blockchain platform. J. Manag. Sci. (2024) 1–17. [Google Scholar]
  • B.C.M. Neubert, Valuation of a Saas company: a case study of Salesforce.Com. Innov. Manag. Entrepren. Sustain. (2018) 166. [Google Scholar]
  • European Parliament and Council of the European Union, Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data (General Data Protection Regulation). Official J. Eur. Union. L119 (2016) 1–88. [Google Scholar]
  • J.F. Tian and Q. Yang, An arbitrable outsourcing data audit scheme supporting credit reward and punishment and multi-user sharing. J. Parallel Distrib. Comput. 178 (2023) 100–111. [Google Scholar]
  • Z.Y. Mou, X.X. Yang, K. Li et al., Research on online agricultural support model and financing strategy of smart platform supply chain. Chin. J. Manage. Sci. 32 (2024) 170–181. [Google Scholar]
  • A. Hervas-Drane and S. Shelegia, Retailer-led marketplaces. Manag. Sci. 71 (2025) 9650–9669. [Google Scholar]
  • P. Gao, J.J. Nie and J. Xue, Green product R&D innovation and government subsidy strategy considering consumers' privacy concerns under blockchain. Chin. J. Manage. 21 (2024) 1097–1106. [Google Scholar]
  • X.W. Yan, Z.F. Ping and B.C. Bing, An analysis of strategies for adopting blockchain technology in the fresh product supply chain. Int. J. Prod. Res. 61 (2023) 3717–3734. [CrossRef] [Google Scholar]
  • Z. Liu, C. Y. Ming, X.X. Zheng et al., Research on cooperation mode selection and profit distribution of carbon complementary supply chain under “mandatory + voluntary” mechanism. Syst. Eng. Theory Pract. 45 (2025) 2264–2281. [Google Scholar]
  • C. Santana and L. Albareda, Blockchain and the emergence of Decentralized Autonomous Organizations (DAOs): An integrative model and research agenda. Technol. Forecast. Soc. Change. 182 (2022) 121806. [Google Scholar]
  • W.L. Wang, Q.N. Ren, Y.C. Zhu and T.J. Liu, Cost under the disturbance service quality acceptance decision and coordination of supply chain research. Manag. Sci. China. 32 (2024) 176–186. [Google Scholar]
  • L.W. Ju, X. Qi, S.B. Yang, B.R. Nie, H.J. Zhu and O.T. Zhang, A hybrid gaming optimization model for rural distributed energy system clusters considering electricity-carbon-biomass peer-to-peer trading. Syst. Eng. Theory Pract. (2025) 1–14. (prepublish). [Google Scholar]
  • F. Ecer, T. Murat, H. Dinçer and S. Yüksel, A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye. Financ. Innov. 10 (2024) 31. [Google Scholar]
  • Ali Research, Platform empowerment: research report on the digital transformation of China’s manufacturing industry. (2023) 1–44. [Google Scholar]
  • S.K. Singh, M. Jenamani, D. Dasgupta and S. Das, A conceptual model for Indian public distribution system using consortium blockchain with on-chain and off-chain trusted data. Inf. Technol. Dev. 27 (2021) 499–523. [Google Scholar]
  • H.D. Chung, Y.M. Zhou and C. Choi, When Uber Eats its own business, and its competitors’ too: resource exclusivity and oscillation following platform diversification. Strat. Manag. J. 46 (2025) 411–435. [Google Scholar]
  • V. Nae, R. Prodan and A. Iosup, SLA-based operations of massively multiplayer online games in clouds. Multimedia Syst. 20 (2014) 521–544. [Google Scholar]
  • H. Ke, X. Wang and A.D. Ralescu, Price and quality decisions in a co-opetitive supply chain considering twodimensional consumer preferences. J. Uncertain Syst. 18 (2025) 2450032. [Google Scholar]
  • N. Zhang, X. Yang and J. Wu, Pricing and coordinating of green manufacturing supply chain considering consumers’ anticipated regret. Electron. Commer. Res. 25 (2025) 4737–4747. [Google Scholar]
  • X.L. Zhang, H. Wang, X.Z. Zhao and D.D. Wu, Return decision model of the manufacturer-leading dual-channel supply chain. Math. Prob. Eng. 1 (2020) 8864672. [Google Scholar]
  • A. Liu and Z. Han, Blockchain-based supply chain management system: framework design for achieving transparency and collaboration. Int. J. High Speed Electron. Syst. (2025) 2540241. [Google Scholar]
  • C.V. Giada, C.M. Pia, S. Mattia and S. Raffaele, Artificial intelligence in supply chain and operations management: a multiple case study research. Int. J. Prod. Res. 62 (2024) 3333–3360. [Google Scholar]
  • L. Wang, Initial investment cost of blockchain technology. Blockch. Bus. Innov. 4 (2022) 15–25. [Google Scholar]
  • F.Z. Chen, Y.F. Wang and Z.H. Deng, Competing on price and guarantee compensation: heeding cloud consumer’s quality perception. Inf. Manag. 60 (2023) 103884. [Google Scholar]
  • Y. Zhou, Y. Zhang, M.I.M. Wahab and M. Goh, Channel leadership and performance for a closed-loop supply chain considering competition. Transp. Res. Part E-Logist. Transp. Rev. 175 (2023) 103151. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.