Integrating Internet of Things (IoT) technology inside the cold supply chain can enhance transparency, efficiency, and quality, optimizing operating procedures and increasing productivity. The integration of IoT in this complicated setting is hindered by specific barriers that need a thorough examination. Prominent barriers to IoT implementation in the cold supply chain are identified using a two-stage model. After reviewing the available literature on the topic of IoT implementation, a total of 13 barriers were found. The survey data was cross-validated for quality, and Cronbach's alpha test was employed to ensure validity. This research applies the interpretative structural modeling technique in the first phase to identify the main barriers. Among those barriers, "regularity compliance" and "cold chain networks" are key drivers for IoT adoption strategies. MICMAC's driving and dependence power element categorization helps evaluate the barrier interactions. In the second phase of this research, a decision-making trial and evaluation laboratory methodology was employed to identify causal relationships between barriers and evaluate them according to their relative importance. Each cause is a potential drive, and if its efficiency can be enhanced, the system as a whole benefits. The research findings provide industry stakeholders, governments, and organizations with significant drivers of IoT adoption to overcome these barriers and optimize the utilization of IoT technology to improve the effectiveness and reliability of the cold supply chain.

翻译：将物联网技术整合到冷链供应链中，能够提升透明度、效率与质量，从而优化运营流程并提高生产力。然而，在这一复杂环境中实施物联网面临着特定障碍，需要进行深入剖析。本研究采用两阶段模型识别了冷链供应链中物联网实施的主要障碍。通过对物联网实施相关文献的系统回顾，共识别出13项障碍。调查数据经过交叉验证以确保质量，并采用克朗巴哈系数检验确保有效性。研究第一阶段应用解释结构模型方法辨识关键障碍，其中“合规性要求”与“冷链网络”是物联网采用策略的核心驱动因素。MICMAC方法通过驱动力与依赖力要素分类，有助于评估障碍间的相互作用。在第二阶段，本研究采用决策实验室分析方法，识别障碍间的因果关系，并依据其相对重要性进行评估。每个成因均可视为潜在驱动因素，若能提升其效率，将惠及整个系统。研究结果为行业利益相关方、政府及组织提供了物联网采用的关键驱动因素，以克服这些障碍，优化物联网技术的应用，从而提升冷链供应链的效能与可靠性。