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可提升透明度、效率与质量，优化操作流程并提高生产力。然而，这一复杂环境下的整合过程受到特定障碍的制约，需要对其进行深入剖析。本研究采用两阶段模型识别冷链供应链中物联网实施的主要障碍。通过系统梳理物联网实施相关文献，共识别出13项障碍。调查数据经交叉验证确保质量，并采用Cronbach's alpha检验保证效度。研究第一阶段应用解释结构建模技术确定关键障碍，其中"法规合规性"与"冷链网络"是推动物联网采纳战略的核心驱动因素。MICMAC方法的驱动力-依赖性要素分类有助于评估障碍间的相互作用。第二阶段采用决策试验与评价实验室方法，识别障碍间的因果关系，并根据相对重要性进行排序。每个原因均为潜在驱动力，若能提升其效能，将惠及整个系统。研究结果为行业利益相关者、政府及组织提供了物联网采纳的关键驱动因素，有助于克服上述障碍，优化物联网技术应用，进而提升冷链供应链的效能与可靠性。