Vulnerability of fresh agricultural products supply chain: Assessment, interrelationship analysis and control strategies

被引:1
作者
Yang, Manyi [1 ]
Qu, Shaojian [1 ,3 ]
Ji, Ying [2 ,4 ]
Abdoulrahaman, Dabo [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Sch Management Sci & Engn, Nanjing, Peoples R China
[2] Shanghai Univ, Sch Management, Shanghai, Peoples R China
[3] Anhui Jianzhu Univ, Sch Econ & Management, Hefei, Peoples R China
[4] Shanghai Univ, 99 Shangda Rd, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Grounded theory; Complex network; Fresh agricultural products; Supply chain vulnerability; Control strategies; POSTHARVEST LOSSES; RISK-MANAGEMENT; LOGISTICS; MODELS;
D O I
10.1016/j.seps.2024.101928
中图分类号
F [经济];
学科分类号
02 ;
摘要
Most research in fresh agricultural products supply chain (FAPSC) vulnerability identification and evaluation is based on independent perspectives. Few studies have studied the interrelationships, transmission mechanisms, and control strategies from a network approach. Given this, this paper first identifies 7 vulnerability categories and 36 vulnerability factors based on empirical data collected from practitioners of FAPSC using grounded theory (GT). The interrelationships among the identified vulnerability factors are established immediately afterward based on complex network theory. Finally, key vulnerability factors and vulnerability impact transmission paths are identified based on the results by calculating the basic network characteristic indicators. The results show that market supply-demand imbalance and human resources issues are the key vulnerability factors. The five factors of market supply-demand imbalance, environmental pollution, socio-economic downturn, human resources issues, and arable land area as the intermediate transmission factors of the vulnerability network play a key role in vulnerability transmission. Based on this, strategies such as information sharing and measuring the environmental performance of fresh agricultural product suppliers are proposed. This study can help stakeholders control the vulnerabilities and ensure the stable operation of the FAPSC.
引用
收藏
页数:16
相关论文
共 52 条
  • [1] Application of planning models in the agri-food supply chain: A review
    Ahumada, Omar
    Villalobos, J. Rene
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2009, 196 (01) : 1 - 20
  • [2] Bachev H., 2017, Noble International Journal of Business and Management Research, V1, P10
  • [3] Agribusiness supply chain risk management: A review of quantitative decision models
    Behzadi, Golnar
    O'Sullivan, Michael Justin
    Olsen, Tava Lennon
    Zhang, Abraham
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2018, 79 : 21 - 42
  • [4] Social and natural risk factor correlation in China's fresh agricultural product supply
    Bian, Xiaoyu
    Yao, Guanxin
    Shi, Guohong
    [J]. PLOS ONE, 2020, 15 (06):
  • [5] Effects of green supply chain management practices on sustainability performance
    Cankaya, Sibel Yildiz
    Sezen, Bulent
    [J]. JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2019, 30 (01) : 98 - 121
  • [6] Technology, Policy, and Market Adaptation Mechanisms for Sustainable Fresh Produce Industry: The Case of Tomato Production in Florida, USA
    Chanda, Saoli
    Bhat, Mahadev
    Shetty, Kateel G.
    Jayachandran, Krishnaswamy
    [J]. SUSTAINABILITY, 2021, 13 (11)
  • [7] How might broad adoption of blockchain-based traceability impact the US fresh produce supply chain?
    Collart, Alba J.
    Canales, Elizabeth
    [J]. APPLIED ECONOMIC PERSPECTIVES AND POLICY, 2022, 44 (01) : 219 - 236
  • [8] Diop N., 2005, Global agricultural trade and developing countries, P237
  • [9] Paradigms, praxis, problems, and promise: Grounded theory in counseling psychology research
    Fassinger, RE
    [J]. JOURNAL OF COUNSELING PSYCHOLOGY, 2005, 52 (02) : 156 - 166
  • [10] A simulation-based generalized framework to model vulnerability of interdependent critical infrastructure systems under incomplete information
    Ganguly, Prasangsha
    Mukherjee, Sayanti
    [J]. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING, 2023, 38 (18) : 2537 - 2559