Optimal Internet of Things Technology Adoption Decisions and Pricing Strategies for High-Traceability Logistics Services

被引:2
|
作者
Zhang, Yu [1 ]
Liu, Nan [1 ]
机构
[1] Zhejiang Univ, Sch Management, Hangzhou 310058, Peoples R China
基金
中国国家自然科学基金;
关键词
logistics traceability; internet of things technology; value-added service; pricing; FOOD-SUPPLY CHAIN; RFID TECHNOLOGY; INVENTORY; MODEL; RISK;
D O I
10.3390/su131910597
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Internet of Things (IoT) technology-based tracking system can reduce freight loss/damage during delivery, thereby avoiding wasting social resources. In this study, we address the issue of whether an E-retailer with a logistics arm should provide high-traceability logistics value-added service (based on IoT technology) in two customer segments and analyze their pricing decision. We found that companies always adopt IoT when equipment operation cost is low and not when the cost is high. Otherwise, the optimal IoT adoption strategy for a company depends on multiple factors, for example, the internal operation efficiency of a company. Providing high-traceability service as one kind of public service does not necessarily optimize social welfare even if the overall delivery failure is reduced. The customers' preference for traceability significantly affects the company's decision. Hence, we suggest that the company should implement a comprehensive investigation before launching a specific strategy.
引用
收藏
页数:33
相关论文
共 3 条
  • [1] Intelligent Transportation Logistics Optimal Warehouse Location Method Based on Internet of Things and Blockchain Technology
    Chen, Jun
    Xu, Shiyan
    Liu, Kaikai
    Yao, Shuqi
    Luo, Xiao
    Wu, Huan
    [J]. SENSORS, 2022, 22 (04)
  • [2] RETRACTED: Optimal Design of International Trade Logistics Based on Internet of Things Technology (Retracted Article)
    Wang, Yue
    [J]. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
  • [3] Integrated Maintenance Logistics Monitoring System for High Speed Rail, Based on Internet of Things Technology
    Mohamed, Alhossein
    Peng Qiyuan
    Abid, Malik Muneeb
    Iqbal, Muhammad
    [J]. EUROPEAN TRANSPORT-TRASPORTI EUROPEI, 2020, (75):