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Abstract：
Integrating Internet of Things (IoT) technology inside the cold supply chain can enhance transparency, efficiency, and quality, optimize operating procedures, and increase productivity. The integration of the IoT in this complicated setting is hindered by specific barriers that require thorough examination. Prominent barriers to IoT implementation in a cold supply chain, which is the main objective, are identified using a two-stage model. After reviewing the available literature on IoT implementation, 13 barriers were identified. The survey data were cross-validated for quality, and Cronbach\'s alpha test was employed to ensure validity. This study applies the interpretative structural modeling technique in the first phase to identify the main barriers. Among these barriers, \"regulatory compliance\" and \"cold chain networks\" are the key drivers of IoT adoption strategies. MICMAC\'s driving and dependence power element categorization helps evaluate barrier interactions. In the second phase of this study, 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 benefits as a whole. The 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.
摘要：
将物联网（IoT）技术集成到冷供应链中可以提高透明度，效率,和质量，优化操作程序，并提高生产力。物联网在这种复杂环境中的集成受到需要彻底检查的特定障碍的阻碍。在冷供应链中实施物联网的突出障碍，这是主要目标，使用两阶段模型识别。在回顾了有关物联网实施的现有文献后，确定了13个障碍。调查数据进行了质量交叉验证，并采用Cronbach的α检验来确保有效性。本研究在第一阶段应用了解释性结构建模技术来识别主要障碍。在这些障碍中,“法规遵从”和“冷链网络”是物联网采用战略的关键驱动因素。MICMAC的驱动和依赖功率元素分类有助于评估屏障相互作用。在本研究的第二阶段，我们采用决策试验和评估实验室方法来确定障碍之间的因果关系,并根据其相对重要性进行评估.每个原因都是潜在的驱动力，如果它的效率可以提高，系统整体受益。调查结果为行业利益相关者提供了，政府,以及具有物联网采用的重要驱动因素的组织，以克服这些障碍并优化物联网技术的利用，以提高冷供应链的有效性和可靠性。
