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Journal of library and information science in agriculture

   

Impact Mechanism of Digital Literacy on the Resilience of Rural E-Commerce Supply Chain

TIAN Bingjie1, LIU Qian2, PENG Xudan3   

  1. 1. International Education College, Hebei Finance University, Baoding 071000
    2. School of Management, Hebei Finance University, Baoding 071000
    3. School of Statistics and Data Science, Hebei Finance University, Baoding 071000
  • Received:2026-05-26 Online:2026-08-19

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Abstract:

[Purpose/Significance] Against the backdrop of the further advancement of the digital countryside and rural revitalization strategies, digital empowerment serves as a key approach to enhancing the risk resistance capacity of rural e-commerce supply chains. However, existing research has kept the two areas of study, "digital literacy" and "supply chain resilience", relatively separate. A theoretical bridge between the two areas has yet to be established. Furthermore, there remains a notable lack of exploration into how digital literacy, through capability transmission and behavioral transformation, affects meso-level organizational systems such as supply chains; the intrinsic mechanism by which the digital literacy of agricultural business entities influences the overall operational efficiency and risk-resistance capacity of supply chains has not been systematically revealed. This study aims to explore the mechanism of how the digital literacy of supply chain subjects affects the resilience of rural e-commerce supply chains, so as to provide theoretical support and practical guidance for improving the quality and efficiency of the rural e-commerce industry and strengthening supply chain resilience. [Method/Process] Based on domestic and international digital literacy frameworks and supply chain resilience theory, a structural equation model was constructed, in which the digital literacy of supply chain subjects is taken as the independent variable, rural e-commerce supply chain resilience as the dependent variable, and technology perception capability, information acquisition capability and collaborative decision-making level as parallel mediating variables. Data were collected through a questionnaire survey, with respondents covering cooperative leaders, heads of agricultural enterprises, e-commerce operators, new-type professional farmers, and large-scale farmers in Hebei Province. The measurement instruments were adapted from validated scales in prior research and carefully contextualized for the rural e-commerce setting. All constructs were measured using multi-item Likert-type scales with established reliability and validity. Subsequently, empirical analysis was conducted using SPSS and AMOS software. [Results/Conclusions] The digital literacy of chain leaders exerts a significant positive direct effect on the resilience of rural e-commerce supply chains, with this direct path accounting for the largest proportion of the total effect. This finding suggests that, in the context of rural e-commerce supply chains, the digital literacy of chain leaders does not function solely through indirect pathways. Rather, it is as a core driving force in its own right. Technology perception capability, collaborative decision-making level, and information acquisition capability all play partial mediating roles in the relationship between chain leader digital literacy and supply chain resilience. Among the three mediating pathways, collaborative decision-making level demonstrates the highest mediating effect proportion, underscoring the central role of inter-organizational coordination in the process of digitally empowering supply chain resilience. This study reveals the multiple transmission pathways through which digital literacy empowers supply chain resilience, and proposes optimization strategies such as enhancing digital literacy of supply chain subjects and building multi-agent collaborative mechanisms, offering a reference for optimizing the digital governance of rural e-commerce supply chains and fostering a multi-agent collaborative development system. This study has several limitations. First, the research data were mainly collected via cross-sectional questionnaires, which cannot reflect the dynamic temporal relationship between chain leaders' digital literacy and supply chain resilience. Second, this research fails to incorporate moderating factors including regional context, policy support and supply chain structure. Future research can conduct further investigations through longitudinal data tracking and the construction of more complex mechanisms.

Key words: digital literacy, rural e-commerce, supply chain resilience, influencing mechanism

CLC Number: 

  • G252

Fig.1

Theoretical model of digital literacy's impact on the resilience of rural e-commerce supply chains"

Table1

Descriptive statistical analysis （N=299）"

样本特征 样本量/人 占比/%
性别 男 168 56.20
女 131 43.80
年龄 25岁及以下 75 25.1
26~35岁 109 36.50
36~45岁 81 27.10
46~55岁 22 7.40
56岁及以上 12 4.00
教育程度 小学及以下 77 25.80
初中 58 19.40
高中/中专 83 27.80
大专/本科 21 7.00
研究生及以上 60 20.10
从业年限 1年以下 64 21.40
1~3年 109 36.50
3~5年 102 34.10
5~10年 17 5.70
10年以上 7 2.30
组织类型 个体农户 32 10.70
家庭农场 59 19.70
合作社 85 28.40
电商企业 100 33.40
其他 23 7.70
主营类型 生鲜果蔬 85 28.40
粮油干货 87 29.10
肉禽蛋奶 60 20.10
手工艺品 44 14.70
其他 23 7.70
经营模式 B2B 70 23.40
B2C 57 19.10
直播电商 74 24.70
社群团购 20 6.70
多模式混合 78 26.10

Table 2

Inter-item correlation matrix"

变量 数字素养 农村电商供应链韧性 技术感知能力 协同决策水平 信息获取能力
数字素养 0.903 0.333 0.218 0.300 0.216
农村电商供应链韧性 0.333 0.890 0.226 0.355 0.295
技术感知能力 0.218 0.226 0.887 0.186 0.174
协同决策水平 0.300 0.355 0.186 0.715 0.306
信息获取能力 0.216 0.295 0.174 0.306 0.850

Table3

Results of model path coefficient test"

关系 模型

Estimate

（标准化估计值）

S.E.

（标准误差）

C.R.

（临界比率）

P

（显著性）
被解释变量←解释变量 供应链韧性<---数字素养 0.199 0.055 3.283 0.001
中介变量←解释变量 技术感知能力<---数字素养 0.231 0.043 3.791 ***
协同决策水平<---数字素养 0.340 0.015 5.085 ***
信息获取能力<---数字素养 0.233 0.032 3.825 ***
被解释变量←中介变量 供应链韧性<---技术感知能力 0.121 0.074 2.132 0.033
供应链韧性<---协同决策水平 0.248 0.283 3.576 ***
供应链韧性<---信息获取能力 0.162 0.106 2.651 0.008

Table 4

Results of mediation effect test"

潜变量路径 效应值 Bootstrap SE 95%置信区间 显著性 占比/%
下限 上限
总效应模型 数字素养→农村电商供应链韧性 0.319 0.074 0.182 0.471 0.000 100.0
直接效应 数字素养→农村电商供应链韧性 0.182 0.070 0.054 0.335 0.005 57.0
间接效应 数字素养→技术感知能力→农村电商供应链韧性 0.026 0.016 0.003 0.070 0.026 8.1
数字素养→协同决策水平→农村电商供应链韧性 0.077 0.034 0.028 0.168 0.001 24.1
数字素养→信息获取能力→农村电商供应链韧性 0.034 0.022 0.004 0.092 0.022 10.8
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