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首页> 外文期刊>International Journal of Logistics Management >An exploratory study of Internet of Things (IoT) adoption intention in logistics and supply chain management A mixed research approach
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An exploratory study of Internet of Things (IoT) adoption intention in logistics and supply chain management A mixed research approach

机译：物联网（IoT）在物流和供应链管理中的采用意图的探索性研究混合研究方法

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Purpose - The Internet of Things (IoT) envisions a global infrastructure of networked physical objects that render radical transparency to supply chain management. Despite the perceived advantages of IoT, industry has still not widely adopted IoT-enabled logistics and supply chain management. The purpose of this paper is to understand the incentives and concerns behind firms' decisions to adopt IoT, explore the determinant factors affecting IoT adoption in logistics and supply chain management. Design/methodology/approach - This study uses mixed methods research to explore the determinants of IoT adoption intention in logistics and supply chain management. Qualitative analysis using the Grounded Theory methodology reveals the underlying perceptions regarding logistic innovation with IoT. Quantitative hypotheses are then developed based on qualitative investigation and adoption literature. Survey data were collected from the managerial staff of Taiwanese firms across various industries. Structural equation modeling with partial least square is used for data analysis. Findings - The results of the qualitative study identify uncertainties and issues regarding firms' intention to accept or reject IoT technology in logistics and supply chain management, including the benefit and cost aspects of adopting IoT, uncertainties about the trustworthiness of IoT technology, and the external motivating force to embrace IoT. The resulting quantitative model shows that perceived benefits, perceived costs, and external pressure are significant determinants of IoT adoption intention, while technology trust is not. However, technology trust does indirectly influence IoT adoption intention through perceived benefits. Practical implications - The empirical findings of this study provide some guidelines for logistics and supply chain managers to evaluate IoT adoption in their firms. Likewise, IoT solution providers can also benefit from this study by improving their solutions to mitigate the IoT adoption concerns addressed herein. Originality/value - This paper is among the first known to examine IoT adoption intention in logistics and supply chain management using mixed methods research. The mixed methods approach offers a better insight in understanding incentives behind firms' decisions to adopt IoT vs the use of either a qualitative or quantitative method alone.
机译：目的-物联网（IoT）构想了网络化物理对象的全球基础架构，可为供应链管理带来根本的透明度。尽管发现了物联网的优势，但行业仍未广泛采用基于物联网的物流和供应链管理。本文的目的是了解企业采用IoT的决策背后的动机和担忧，探索影响在物流和供应链管理中采用IoT的决定性因素。设计/方法/方法-这项研究使用混合方法研究来探索物流和供应链管理中IoT采用意图的决定因素。使用扎根理论方法进行的定性分析揭示了有关物联网物流创新的基本认识。然后，基于定性调查和采用文献，建立定量假设。调查数据是从各行各业的台湾公司管理人员那里收集的。具有偏最小二乘的结构方程建模用于数据分析。调查结果-定性研究的结果确定了有关公司在物流和供应链管理中接受或拒绝IoT技术的意图的不确定性和问题，包括采用IoT的收益和成本方面，关于IoT技术的可信赖性的不确定性以及外部因素拥抱物联网的动力。最终的量化模型表明，感知收益，感知成本和外部压力是物联网采用意图的重要决定因素，而技术信任度则不是。但是，技术信任确实会通过感知的收益间接影响物联网的采用意图。实际意义-这项研究的实证结果为物流和供应链经理提供了一些指导方针，以评估其公司对物联网的采用。同样，物联网解决方案提供商也可以通过改进其解决方案来缓解本文所解决的物联网采用问题而从中受益。原创性/价值-本文是第一种使用混合方法研究来研究物联网在物流和供应链管理中的采用意图的方法。与仅使用定性或定量方法相比，混合方法方法提供了更好的见解，可帮助企业了解采用IoT的决策背后的动机。

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