Volume 38 Issue 2
Jun.  2024
Turn off MathJax
Article Contents
SI Fengshan, YU Zhen, WANG Jing. Supply chain return freight insurance and pricing strategy considering consumer risk avoidance[J]. Journal of Shanghai University of Engineering Science, 2024, 38(2): 223-230. doi: 10.12299/jsues.23-0141
Citation: SI Fengshan, YU Zhen, WANG Jing. Supply chain return freight insurance and pricing strategy considering consumer risk avoidance[J]. Journal of Shanghai University of Engineering Science, 2024, 38(2): 223-230. doi: 10.12299/jsues.23-0141

Supply chain return freight insurance and pricing strategy considering consumer risk avoidance

doi: 10.12299/jsues.23-0141
  • Received Date: 2023-06-11
  • Publish Date: 2024-06-30
  • In response to the return dispute between buyers and sellers in online transactions, e-commerce platforms have introduced return freight insurance to share the risk of product returns, but lenient return policies can also contribute to excessive returns. Thus, third-party insurance companies were incorporated into the Stackelberg game, which was dominated by the manufacturer and followed by the online retailer. Taking into account return behavior and freight insurance sensitivity of risk-averse consumers, three pricing return models with the participation of multiple decision makers, namely, the seller's freight insurance, the buyer's freight insurance and the shared freight insurance, were developed to analyze pricing decisions and freight insurance strategies of the online retailer. The results show that consumers’ risk aversion attitudes benefit to reduce the product price and freight insurance price, thereby increase market demand and profits for all members involved. The co-sharing mechanism for freight insurance can be effective in mitigating customer loss, and when the return rate is low, consumer preferences for return freight insurance are advantageous for the profitability of the overall supply chain.
  • loading
  • [1]
    张学龙, 吴豆豆, 王军进, 等. 考虑退货风险的制造商双渠道供应链定价决策研究[J] . 中国管理科学,2018,26(3):59 − 70.
    [2]
    原逸超, 石岿然. 考虑策略型消费者和退货的零售商定价和订货决策研究[J] . 中国管理科学,2020,28(6):83 − 93.
    [3]
    金亮, 郑本荣, 李志鹏. 基于顾客退货行为的在线零售商定价与体验渠道策略[J] . 管理评论,2022,34(1):168 − 179.
    [4]
    刘健, 印蓉蓉, 杨朋辉, 等. 基于退货政策的双渠道零售商定价和策略研究[J] . 南京理工大学学报,2020,44(1):107 − 116.
    [5]
    LI G, LI L, SETHI S P, et al. Return strategy and pricing in a dual-channel supply chain[J] . International Journal of Production Economics,2019,215(9):153 − 164.
    [6]
    王叶峰, 田中俊, 谢家平. 基于策略型消费者的预售退货策略研究[J] . 管理工程学报,2020,34(1):79 − 85.
    [7]
    LIU J, SUN X Y, LIU Y Y. Products pricing and return strategies for the dual channel retailers[J] . Operational Research,2022,22(4):3841 − 3867. doi: 10.1007/s12351-021-00670-1
    [8]
    王道平, 周玉, 葛根哈斯. 考虑参照价格效应和消费者行为的预售及退货策略[J] . 控制与决策,2021,36(11):2783 − 2793.
    [9]
    孙军, 孙亮. 基于无缺陷退货的在线零售商运费承担策略研究[J] . 软科学,2014,28(6):41 − 45. doi: 10.3969/j.issn.1001-8409.2014.06.009
    [10]
    赵晓敏, 胡淑慧. 网购环境下在线零售商的退货运费承担策略研究[J] . 中国管理科学,2019,27(1):53 − 62.
    [11]
    杨雷, 常娜. 考虑退货运费险情况下的供应链运作决策研究[J] . 系统工程学报,2018,33(1):116 − 124.
    [12]
    何莹莹, 郭春香. 预售模式下基于策略型消费者退货行为的运费险决策研究[J] . 管理学报,2018,15(8):1249 − 1255. doi: 10.3969/j.issn.1672-884x.2018.08.018
    [13]
    LIN J X, ZHANG J L, CHENG T C E. Optimal pricing and return policy and the value of freight insurance for a retailer facing heterogeneous consumers with uncertain product values[J] . International Journal of Production Economics,2020,229(11):1 − 18.
    [14]
    胡振华, 舒行钢. 线上销售渠道下平台零售商的退货策略选择研究[J] . 湖南大学学报(社会科学版),2021,35(2):45 − 56.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(3)  / Tables(2)

    Article Metrics

    Article views (341) PDF downloads(15) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return