This study focuses on protecting agricultural supply chains between urban and rural areas during social emergencies. It aims to examine the effective application of digital intelligence and related technologies within the emergency management systems of these agricultural supply chains. The goal is to explore a new management model that meets daily consumption needs while also enabling a rapid response to emergency demands. From the perspectives of technology, organization, and social interaction, the study systematically presents a three-dimensional analytical framework encompassing digital intelligence risk perception, organizational operation, and social market value co-creation. It elucidates the significant impact and mechanisms through which digital intelligence influences the prevention and preparation for urban and rural emergencies, early warning and monitoring, emergency response, and recovery processes. Furthermore, it outlines the future direction for developing urban and rural agricultural supply chain emergency management in the digital intelligence era, highlighting the path forward in the context of digitalization.

Zhu Yuanfang, Huang Huachen, Li Juntao, He Liu. Research on the Digital Intelligence Innovation Model for Emergency Management in Urban and Rural Agricultural Supply Chains. The Frontiers of Society, Science and Technology (2025), Vol. 7, Issue 1: 50-59. https://doi.org/10.25236/FSST.2025.070109.

[1] Li Weian,Li Yong jian,Shi Dan. Theoretical Research on Supply Chain Governance: Concept, Intention, and Normative Analysis Framework[J]. Nankai Business Review, 2016, 19(01): 4-15, 42.

[2] LIU Weihua, WU Wenfei, WANG Siyu, et al. Formation Motivations of Smart Logistics Ecological Chain:from the Perspective of the Niche Theory and Supply Chain Outsourcing Analysis[J]. Supply Chain Management, 2020, 1(03): 57-68.

[3] Chen Jian, Liu Yunhui. Operations Management Innovation Enabled by Digitalization and Intellectualization: From Supply Chain to Supply Chain Ecosystem[J]. Journal of Management World, 2021, 37(11): 227-240, 14.

[4] SONG Hua. Establishing a digital, ecological, and knowledge-based supply chain to promote the high-quality development of the industrial chain[J]. China Economic Review, 2022(05): 32-37.

[5] Senyu Xu. Decisions of pricing and delivery-lead-time in dual-channel supply chains with data-driven marketing using internal financing and contract coordination[J]. Industrial Management & Data Systems,2023,Vol.123(3): 1005-1051.

[6] ZHOU Xiaomiao. Application of Modern Supply Chain Management Models in Traditional Industries [J]. China Storage & Transport, 2024(11): 206-207.

[7] CHEN Meng, XIA Shuya, ZHOU Qingling. Research on the Innovation of Agricultural Supply Chain Models in the Context of the Sharing Economy[J]. Journal of Commercial Economics, 2019(14): 127-129.

[8] JIANG Zhibin, WEN Jing, GENG Na, et al. Emergency Resource Management in Response to Serious Infectious Diseases: A Literature Review[J]. Industrial Engineering Journal, 2020, 23(06): 1-9.

[9] LI Xiaodong, YAN Yanfei. Study on Supply Chain Model of Agricultural Products in China[J]. Logistics Sci-Tech, 2019, 42(09): 159-161.

[10] NIU Xiaojuan. Analysis of the Supermarket-Centered Agricultural Supply Chain Model[J]. Jiangsu Commercial Forum, 2010(06): 9-11.

[11] NING Zhong,LU Jun,WANG Dashan, et al. Study on the Path of Improving the Toughness of Domestic Agricultural Product Supply Chain under the Mode of Agricultural Industrial Chain: Take the Cold Chain Cooperation between Zheng Ming Logistics and CDB as A Case Study[J]. Supply Chain Management, 2023, 4(02): 17-33.

[12] LI Jian. Digital Economy Helps Modernization of Agricultural Industry Chain and Supply Chain: Theoretical Mechanism and Innovation Path[J]. Reform of Economic System, 2023(03): 80-88.

[13] ZHANG Shuang,XU Zheng. Preliminary Studies on the New Circulation System of Agricultural Products Based on the Mode of Connecting Agriculture with Supermarkets[J]. Journal of Anhui Agricultural Sciences, 2010, 38(22): 12212-12214.

[14] HE Yiming,LUO Biliang,GAO Shaohui. North Paradox Solution, Transaction Deregulation Game,and China's Agricultural Products Circulation System Transition[J]. Journal of Business Economics, 2014(07): 5-13.

[15] Li Zhengjun,Zhao Feng,Bin Hou. Study on Internet Plus Agriculture Product Supply Chain Optimization[J]. Journal of Jilin Business and Technology College, 2019, 35(01): 37-41.

[16] LIU Molin,DAN Bin,MA Songxuan. Optimal Strategies and Coordination of Fresh E-commerce Supply Chain Considering Freshness-Keeping Effort and Value-Added Service[J]. Chinese Journal of Management Science, 2020, 28(08): 76-88.

[17] Zhang Xicai. Research on the Model and Optimization of Agricultural Product Sales Supply Chain Driven by Cities in Poor Areas[J]. Modern Economic Research, 2020(09): 125-132.

[18] FENG Yanfang. Research on Poverty Alleviation Patterns and Strategies for Consuming Fresh Agricultural Products: An Analysis Based on the Price Leverage Mechanism of Fresh Agricultural Products[J]. Price:Theory & Practice, 2019(08): 42-45.

[19] LI Yaodong. The Targeted Poverty Alleviation of Shanxi Province and Its Targeted Marketing Innovation of Agricultural Products[J]. Journal of Shenyang Agricultural University (Social Sciences Edition), 2019, 21(02): 152-156.

[20] S. H. Wearne. Management of urgent emergency engineering projects[J]. Proceedings of the Institution of Civil Engineers - Municipal Engineer, 2002, 151: 255-263.

[21] Libin Guo,Qianqian Zhang,Jun Wu, et al. An evolutionary game model of manufacturers and consumers’ behavior strategies for green technology and government subsidy in supply chain platform[J]. Computers & Industrial Engineering, 2024, 189: 109918.

[22] Retsef Levi,Manoj Rajan,Somya Singhvi, et al. The impact of unifying agricultural wholesale markets on prices and farmers’ profitability[J]. Proceedings of the National Academy of Sciences, 2020, 117: 2366-2371.

[23] Di Huang,Shuaian Wang,Zhiyuan Liu. A systematic review of prediction methods for emergency management[J]. International Journal of Disaster Risk Reduction, 2021, 62: 102412.

[24] Filippo Maria Ottaviani,Alberto De Marco,Carlo Rafele, et al. Risk Perception-Based Project Contingency Management Framework[J]. Systems, 2024, 12: 93.

[25] Bernard Enjolras,Vibeke Wøien Hansen,Marte Slagsvold Winsvold. Collaborative governance and effectiveness during emergency response actions in Norway[J]. International Journal of Disaster Risk Reduction, 2024, 111: 104651.

[26] CHEN Xiao-hong,TANG Li-xin,YU Yu-gang, et al. Research on risk management in the context of global change[J]. Journal of Management Sciences in China, 2021, 24(08): 115-124.

[27] LI Minglei,WANG Hongwei,QI Chao, et al. Research on Unconventional Event Emergency Decision-making Methodologies[J]. China Safety Science Journal, 2012, 22(03): 158-163.

[28] ZHONG Kai-bin, XUE Lan. Classification of types, levels and stages for emergencies: managerial foundation of government emergency response system[J]. Chinese Public Administration, 2005(02): 102-107.

[29] ZHU Zhengwei, GUO Xuesong. Study on the Issues of Organization and Coordination in Terms of Transboundary Crisis Governance: From the Perspective of Interorganizational Network[J]. Journal of Public Management, 2011, 8(04): 50-60, 124-125.

[30] JIN Taijun,XU Tingting. Government Coordination Capacity to Respond to Public Emergencies: Frameworks, Issues, and Ideas[J]. Study & Exploration, 2013(05): 37-43.

[31] TONG Xing. Risk-Disaster Crisis Continuum and Comprehensive Response System[J]. Tribune of Study, 2012(08).

[32] XUE Lan,ZHANG Qiang,ZHONG Kaibin. Prevention and Reconstruction: Crisis Management in Transitional China Following the SARS Incident[J]. Reform, 2003(03): 5-20.

[33] BAN Shuqi,SUN Jiekun. Research on the Emergency Management Guarantee System for the Agricultural Supply Chain: A Case Study of Heilongjiang Province[J]. Modern Agriculture, 2022(23): 95-96.

[34] HE Yuanyuan. Research on Supply Chain Optimization Strategies for Bijie Mountain Specialty Agricultural Products in the Context of a Digital Countryside[J]. Modern Business, 2024(09): 35-38.

[35] LI Beibei,ZHANG Chanjun. A Study on the Development Countermeasures for Performance Management in the Numerical Intelligent Agricultural Supply Chain[J]. Modernizing Agriculture, 2023(04): 94-96.

[36] ZHOU Limin,LUO Yunze. Digital Intelligence Empowerment: Emergency Management in the Smart City Era[J]. Theoretical Investigation, 2023(02): 69-78.

[37] LIU Zhixue,QIN Xuelian,CHEN Qiuxia, et al. Thoughts on Smart Supply Chain Management System[J]. Supply Chain Management, 2021, 2(09): 5-15.

[38] LIAO Hanxiang. Research on the Optimization Strategy of Urban Overall Security Resilience under the Background of Digital Intelligence[D]. Nanjing University Of Posts And Telecommunications, 2023.

[39] WEI Xinfei. Research on Big Data and Artificial Intelligence Technologies Enhanced Community Resilience Building[D]. Nanjing University Of Posts And Telecommunications, 2022.

[40] TAN Yanwen,LI Congxi,SONG Qing. Application of Blockchain Technology in the Agricultural Supply Chain: Theoretical Mechanisms, Development Practices, and Policy Implications[J]. Issues in Agricultural Economy, 2023(01): 76-87.

[41] ZENG Yuhang. The Development of a Synergistic Mechanism for Governmental Emergency Management in the Era of Big Data[J]. Chinese Public Administration, 2017(10): 155-157.

[42] Yuan Yu,Fan Bo. Research on Emergency Resource Layout from the Perspective of Big Data Driving [J]. Journal of Information Resources Management, 2022, 12(03): 35-43.

[43] WANG Lina,HU Guangwei,LIU Jianxia. Research on the Process of Value Co-creation and Capability Improvement of Emergency Intelligence Service from the Perspective of Data Empowerment: A Case Study of COVID-19 Epidemic Prevention and Control[J]. Documentation,Information & Knowledge, 2021(01): 23-33.

[44] C. J. Adcock,C. Ye,S. Yin, et al. Price discovery and volatility spillover with price limits in Chinese A-shares market: A truncated GARCH approach[J]. Journal of the Operational Research Society, 2019, 70: 1709-1719.

[45] Omera Khan,Bernard Burnes. Risk and supply chain management: creating a research agenda[J]. The International Journal of Logistics Management, 2007, 18: 197-216.

[46] Sachin S. Kamble,Angappa Gunasekaran,Abhijeet Ghadge, et al. A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation [J]. International Journal of Production Economics, 2020, 229: 107853.

[47] Xu Yijia,Han Yaoci,He Guanxiao, et al. Ontology-Based Design of Decision Support Method for Emergency Management with Its Application in MERS[J]. Management Review, 2016, 28(08): 17-24.

[48] WEN Zhiqiang. Public Crisis Management System of Allocating Resources to Build Research[J]. Economic Management Journal, 2011, 33(07): 156-159.

[49] ZHU Wanjing. How Blockchain Technology Impacts National Emergency Management: A Prognostic Analysis[J]. E-GOVERNMENT, 2021(11): 80-91.

[50] Wang Lin. Research on the Construction of Food Emergency Case Base Based on Blockchain[J]. Journal of Intelligence, 2020, 39(12): 157-163.

[51] ZHANG Xicai,CHEN Xiulan. Research on Agricultural Product Emergency Security System and Management Mechanism from the Perspective of Supply Chain Cooperation[J]. Supply Chain Management, 2021, 2(03): 85-92.