IBSS RCE 4 - Data Analytics and Modelling

• Jianghang Chen
  • Semiconductor Automated Material Handling System (AHMS) Scheduling Algorithm Design (Phase 1), Chen, J., Chen, X. & Chen, L. Project: Collaborative Research Project.

   

• Lujie Chen
  • Research Project on the Application of New Energy Commercial Vehicles

Conference & Workshops

• 12/14/2024: The 11th International Conference on The Chinese Economy: Past, Present and Future
• 12/14/2024:  Workshop on Chinese Economy and Sustainable Growth
• 12/9/2024 What AI can help in research
• 05/26-27/2023: The 11th Conference for Asia and the Pacific Economies in collaboration with Asian Development Bank Institute

Seminars

• 10/31/2024 Adopting Digital Technologies in E-Commerce Platform Operations
• 11/13/2024 What Influences Bitcoin Implied Volatility?
• 12/6/2024 Risk Seeking
• 12/11/2024 Trade Credit and Bankruptcy Risk in Supply Chains: An Experimental Study
• 12/17/2024 Joint tank container demurrage policy and flow optimisation using a progressive hedging algorithm with expanded time-space network
• 12/18/2024 USD Hegemony, Bitcoin, Central Bank Digital Currency, and the Geopolitics of Money
• 12/20/2024 Negative Interest Rates on Central Bank Digital Currency

Chen Yang & King Yoong Lim

• Chen, Y., Jiang, S., Lim, K. Y., & Morris, D. (2025). Corporate “Greening” and innovation: A reinterpretation based on historical immortals. Business Strategy and the Environment. Forthcoming.
• Luan, F., Chen, Y., Lang, L., & Lim, K. Y. (2025). Banking prudentials, leverage, and innovation partnership choice in China. Journal of Banking and Finance, 171, Article 107347. https://doi.org/10.1016/j.jbankfin.2024.107347

King Yoong Lim

• Deku, S. Y., & Lim, K. Y. (2024). Oil price effects on optimal extraction–exploration and offshore entities: An applied-theoretical and empirical investigation in oil-rich economies. Energy Economics, 129, Article 107263. https://doi.org/10.1016/j.eneco.2023.107263

Jianxin Fang

• Optimal and Near-Optimal Control of a Capacitated Assemble-to-Order System with Component Commonality and Backordered Demands. International Journal of Production Research, 2024.

Jianghang Chen & OSCE

• Lu, Y., Lin, J., Huang, S. & Chen, J., 27 Sept 2024, On the bullwhip behaviour of a hybrid manufacturing and remanufacturing system under autocorrelated demand and returns. In: Omega (United Kingdom).
• HE, P., JIN, J., PAN, W. & Chen, J., Aug 2024, Route, Speed, and Bunkering Optimization for LNG-fueled Tramp Ship with Alternative Bunkering Ports. In: Ocean Engineering. 305, 117957.
• Shahzadi, G., Jia, F., Chen, L. & John, A., 15 Jul 2024, AI Adoption in Supply Chain Management: A Systematic Literature Review. In: Journal of Manufacturing Technology Management.
• Du, K., Jia, F. & Chen, L., 2024, (Accepted/In press) Better safe than sorry? The effect of asymmetric cost management on firm resilience in manufacturing firms. In: Industrial Management and Data Systems.
• Zhang, T., Jia, F. & Chen, L., 2024, (Accepted/In press) Blockchain adoption in supply chains: implications for sustainability. In: Production Planning and Control.
• Xu, Y., Jia, F., Wang, L. & Chen, L., 8 Jul 2024, Can digital transformation improve firm resilience to supply chain disruption? The role of diversification strategies. In: Journal of Purchasing and Supply Management. 100952.
• Hong, T., Ou, J., Jia, F., Chen, L. & Yang, Y., 2024, Circular economy practices and corporate social responsibility performance: the role of sense-giving. In: International Journal of Logistics Research and Applications. 27, 11, p. 2208-2237 30 p.
• Jia, F. & Chen, L., 18 Jul 2024, Closing the loop: The fundamental role of Purchasing and Supply Management in reaching a circular economy. In: Journal of Purchasing and Supply Management. 100954.
• Li, L., Chen, L. & Liu, Y., 2024, (Accepted/In press) Digital governance for supplier opportunism: The mediating role of supplier transparency. In: International Journal of Production Economics.
• Xu, Y., Jia, F., Chen, L. & Wang, Y., 7 Jun 2024, Does digital transformation foster carbon emissions reduction? Evidence from China’s manufacturing supply chain. In: International Journal of Logistics Management.
• Jia, F., Xu, Y., Chen, L. & Fernandes, K., 4 Sept 2024, Does supply chain concentration improve sustainability performance: the role of operational slack and information transparency. In: International Journal of Operations and Production Management. 44, 10, p. 1831-1862 32 p.
• Jia, F., Li, K., Chen, L., NAZRUL, ASIF. & Yan, F., 28 Aug 2024, Supply Chain Transparency: A Roadmap for Future Research. In: Industrial Management and Data Systems.
• Jia, F., Seuring, S., Chen, L. & Azadegan, A., 13 Aug 2024, Supply Chain Transparency: Opportunities, Challenges and Risks. In: International Journal of Operations and Production Management.
• Jia, F., Pan, T., He, Q. & Chen, L., 25 Sept 2024, The impact of China Certified Emission Reduction market resumption on manufacturers’ stock market valuations: The role of OSCM factors. In: Journal of Cleaner Production.
• Tian, J., Jia, F., Chen, L. & Xing, X., 31 Oct 2024, (Accepted/In press) The impact of the ISSB’s validation of Scope 3 GHG emissions on US manufacturers’ stock valuations: The role of supplier complexity. In: Transportation Research Part E: Logistics and Transportation Review.
• Jiang, Y., Zhou, S., Chu, J., Fu, X. & Lin, J., Aug 2024, An equilibrium analysis of blockchain integration strategies in the livestock meat supply chain considering consumers’ preference for quality trust. In: Kybernetes.
• Lin, J., Naim, M. M. & Tang, O., 16 Jun 2024, In-house or outsourcing? The impact of remanufacturing strategies on the dynamics of component remanufacturing systems under lifecycle demand and returns. In: European Journal of Operational Research. 315, 3, p. 965-979 15 p.
• Zhang, C., Li, Y-F., Zhang, H., Wang, Y., Huang, Y. & Xu, J., Nov 2024, Distributionally Robust Resilience Optimization of Post-Disaster Power System Considering Multiple Uncertainties. In: Reliability Engineering and System Safety. 251, 110367
• Xu, J., Liu, B., Zhao, X. & Wang, X. L., 16 May 2024, Online reinforcement learning for condition-based group maintenance using factored Markov decision processes. In: European Journal of Operational Research. 315, 1, p. 176-190 15 p.
• Fang, J. & ElHafsi, M., 2024, (Accepted/In press) Optimal and Near-Optimal Control of a Capacitated Assemble-to-Order System with Component Commonality and Backordered Demands. In: International Journal of Production Research.
• Chen, X., Qu, R., Dong, J., Dong, H. & Bai, R., 2024, (Accepted/In press) Advancing Container Port Traffic Simulation: A Data-Driven Machine Learning Approach in Sparse Data Environments. In: Applied Soft Computing.
• Chen, X., Bai, R., Qu, R., Dong, J. & Jin, Y., 2024, (Accepted/In press) Deep Reinforcement Learning Assisted Genetic Programming Ensemble Hyper-Heuristics for Dynamic Scheduling of Container Port Trucks. In: IEEE Transactions on Evolutionary Computation. p. 1 1 p.
• Liu, B., Liu, P. & Shen, Y., 2024, (Accepted/In press) Contract manufacturer encroachment and its impact on OEM’s sales mode and social welfare in a platform-based supply chain. In: Annals of Operations Research.

Xu Cheng

• Xu, C., Zhou, H. & Sun, Y., Oct 2024, Artificial Aesthetics and Ethical Ambiguity: Exploring Business Ethics in the Context of AI-driven Creativity. In: Journal of Business Ethics.
• Xu, C. & Sun, Y., Jul 2024, Deciphering trust mechanisms in blockchain platforms: A multifaceted experimental exploration. In: Managerial and Decision Economics. 45, 5, p. 2686-2699 14 p.
• Sun, Y., Xu, C. & Xu, H., Aug 2024, Social Identity in Trusting AI Agents: Evidence from Lab and On-line experiments. In: Managerial Decisions and Economics.
• Xu, C., Sun, Y., Xu, H. & Xiong, W., Sept 2024, The Digital Siren’s Call: Accepting Unethical AI Advice. In: International Journal of Human-Computer Interaction.

The Society for the Advancement in Economic Studies (SAES) aims to become one of the leading economic studies research institutions in China, with its mission to provide an interdisciplinary research platform bringing together scholars, business community and policy makers to understand, debate and solve the practical problems related to economics. Economics is a broad discipline with specialisation in various fields of microeconomics and macroeconomics. There is a growing consensus on the need to amalgamate various aspects of economic studies to better understand and solve problems within specific economies and the world as a whole. Moreover, in today’s integrated and interconnected world, other social science disciplines have applied ideas and methodologies found within economics and become crucial to effective and integrated economic policy formulation. It is the goal of SAES to apply the economics toolbox both to overlapping internal fields and neighbouring disciplines, thereby taking advantage of synergies across the social sciences and stimulating the generation of new knowledge. The research activities and outcomes of the society are expected to contribute to policy creation, and to this end the society organises annual conferences inviting scholars from across the world to present papers on a wide variety of subject areas.

The Research Center for Economics (RCE-4) also serves as a hub for the Society for the Advancement in Economic Studies (SAES), a visionary organization aspiring to become a leading research institution in China for economic studies.

The subject area of Policy Analytics & Modelling at RCE-4 encompasses interdisciplinary and subject-specific expertise in corporate, fiscal, monetary, and international policy. Its primary goal is to bridge the gap between advanced academic research and the broader academic, business, and student communities. This is achieved through carefully calibrated optimization of policy-modelling projects, ensuring their impacts extend beyond scholarly publications to create meaningful real-world contributions.

Guided by the mission of “policy modelling for all,” this subject area focuses on three core objectives:

1. Accessibility: Making policy analytics and modelling comprehensible and accessible to diverse audiences, including non-specialists.
2. Impact: Advancing human and sustainable development locally, nationally, and internationally through evidence-based policy insights.
3. Knowledge Dissemination: Promoting the articulation and spillover of true knowledge to share unique and constructive narratives about the Chinese economy.

RCE-4’s mission is to establish an interdisciplinary research platform that unites scholars, business leaders, and policymakers. Through this platform, the center seeks to foster understanding, debate, and solutions to practical economic challenges. Key areas of focus include trade, finance, investment, labor migration, and the dissemination of technology and knowledge within China and globally.

By connecting theoretical insights with practical applications, RCE-4 and SAES are committed to crafting actionable, high-impact solutions that address economic complexities and contribute to sustainable growth.

Computational Economics and Finance Lab is built to provide significant computational power for teaching and research within IBSS. It located in BS429 with four Dell OptiPlex 7000 Desktops. Three of them have 32GB DDR4 and one 128GB DDR4. These machines can complete the small-scale but already computational expensive tasks locally in IBSS with no need to apply for the centralized computation power. Faculty members can access to the lab by staff card and log in terminals by university credentials. In addition, our PhD students, master students, SURF and FYP students can access this lab too with permission from their supervisors.

A newly established OSCE Lab has been set up on the Taicang Campus, located in Room E1014. Spanning approximately 120 square meters, this new facility will feature 10 high-performance servers designed to support advanced computational tasks.