Academic Journal of Business & Management, 2025, 7(12); doi: 10.25236/AJBM.2025.071220.
Dingyuan Liu
School of Engineering and Applied Science, University of Pennsylvania, 220 S 33rd St, Philadelphia, PA, 19104, United States
Disasters have a profound impact on household consumption patterns and business ecosystems. This paper explores the changes in household consumption patterns in the context of disasters and how these changes affect the recovery of business ecosystems. The analysis shows that disasters lead to both short-term contractions and long-term shifts in consumer behavior. The recovery of business ecosystems involves key factors such as supply chains, market demand, and business innovation. Based on this, response strategies are proposed, including adjustments to marketing, accelerating supply chain recovery, and rebuilding brand trust, in order to promote the recovery of household consumption and business ecosystems.
Household Consumption; Ecosystem; Recovery Mechanisms; Response Strategies
Dingyuan Liu. The Relationship between Household Consumption Pattern Changes under Disasters and the Recovery of Business Ecosystems. Academic Journal of Business & Management (2025), Vol. 7, Issue 12: 151-156. https://doi.org/10.25236/AJBM.2025.071220.
[1] Martínez M, Angeles C. (2025).. How household consumption has changed after an economic crisis. International Journal of Social Economics, 49(8):1213-1231.
[2] Romero L M, Ruiz A S S, Jiménez R A J. (2025). The Weight of Socioeconomic Factors in Mexican Households’ Consumption Adjustments Along the Business Cycle: A Comparative Analysis of the 1994 and 2008–2010 Crises. Social Sciences, 14(4): 190.
[3] Basoya A, Pal R. (2024). Intensity of Seasonal Migration and Its Impact on Household Consumption: Analysis of East Indian Villages. Migration and Development, 13(1):104-128.
[4] Tu, X. (2025). Optimization Strategy for Personalized Recommendation System Based on Data Analysis. Journal of Computer, Signal, and System Research, 2(6), 32-39.
[5] Sheng, C. (2025). Research on the Application of AI in Enterprise Financial Risk Management and Its Optimization Strategy. Economics and Management Innovation, 2(6), 18-24.
[6] Sheng, C. (2025). Innovative Application and Effect Evaluation of Big Data in Cross-Border Tax Compliance Management. Journal of Computer, Signal, and System Research, 2(6), 40-48.
[7] Li W. The Influence of Financial Due Diligence in M&A on Investment Decision Based on Financial Data Analysis. European Journal of AI, Computing & Informatics, 2025, 1(3): 32-38.
[8] Wang, Y. (2025). Exploration and Clinical Practice of the Optimization Path of Sports Rehabilitation Technology. Journal of Medicine and Life Sciences, 1(3), 88-94.
[9] Zhang, X. (2025). Optimization of Financial Fraud Risk Identification System Based on Machine Learning. Journal of Computer, Signal, and System Research, 2(6), 82-89.
[10] Huang, J. (2025). Optimization and Innovation of AI-Based E-Commerce Platform Recommendation System. Journal of Computer, Signal, and System Research, 2(6), 66-73.
[11] An, C. (2025). Study on Efficiency Improvement of Data Analysis in Customer Asset Allocatior. Journal of Computer, Signal, and System Research, 2(6), 57-65.
[12] Zou, Y. (2025). Automated Reasoning and Technological Innovation in Cloud Computing Security. Economics and Management Innovation, 2(6), 25-32.
[13] Jiang, Y. (2025). Application and Practice of Machine Learning Infrastructure Optimization in Advertising Systems. Journal of Computer, Signal, and System Research, 2(6), 74-81.
[14] Sun, J. (2025). Research on Sentiment Analysis Based on Multi-source Data Fusion and Pre-trained Model Optimization in Quantitative Finance. Socio-Economic Statistics Research (2025), 6(2), 89-98.
[15] Chang C. (2025). Chen-Wei Chang. Compiling Declarative Privacy Policies into Runtime Enforcement for Cloud and Web Infrastructure. Machine Learning Theory and Practice, 5(1), 76-86.
[16] Su H, Luo W, Mehdad Y, et al. (2025). Llm-friendly knowledge representation for customer support[C]//Proceedings of the 31st International Conference on Computational Linguistics: Industry Track. 2025, 496-504.
[17] Chen X. (2025). Research on Architecture Optimization of Intelligent Cloud Platform and Performance Enhancement of MicroServices. Economics and Management Innovation, 2(5), 103-111.
[18] Wu Y. (2025). Software Engineering Practice of Microservice Architecture in Full Stack Development: From Architecture Design to Performance Optimization. Machine Learning Theory and Practice, 5(1), 64-75