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논문 기본 정보

자료유형
학술저널
저자정보
Xin Yue Zhang (Inha University) Sang Yoon Lee (Inha University)
저널정보
인하대학교 정석물류통상연구원 Journal of International Logistics and Trade Journal of International Logistics and Trade Vol.21 No.1
발행연도
2023.3
수록면
41 - 60 (20page)

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초록· 키워드

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Purpose - In the current dynamic business environment, Internet of Things (IoT) is employed by a number of companies in the logistics industry to achieve intelligent sorting, network optimization, real-time tracking and simplifying last-mile service. Although logistics entities are trying to introduce IoT into their business areas, users’ perception of this new technology is still limited. This paper aims to develop a research model for the factors influencing the user adoption of IoT technology in the logistics industry.
Design/methodology/approach - In this study, based on the major theories on the application of new technologies such as technology acceptance model (TAM), technology-organization-environment (TOE) and innovation diffusion theory (IDT), a new research model was established to identify factors affecting customers’ behavioral intention (BI) to adopt IoT technology provided by logistics companies. In addition, the authors surveyed unspecified customers of Cainiao Logistics Network, which is in charge of the logistics operation of Alibaba Group, China’s largest e-commerce company, and tested the causality between the latent variables presented in the model using the structural equation model (SEM).
Findings - This empirical study shows that the support system of a logistics company and users’ innovative propensity significantly affect perceived ease of use (PEOU) and BI for logistics services to which IoT technology is applied. It also presents that users’ perceived security and enjoyment significantly affect perceived usefulness (PU) and BI. In addition, it was possible to confirm that the causal structure between variables suggested by TAM that PEOU has a significant effect on PU and BI, and PU has a substantial effect on BI.
Practical implications - Logistics companies should expand and upgrade technical support systems so that customers can flexibly accept logistics services with IoT technology and make efforts to alleviate customers’ concerns about personal information leakage. In addition, it is necessary to find customers with an inclusive attitude toward using new technologies, to induce them to become leading users of logistics devices with IoT technology and to find various ways to amplify their enjoyment. Through a strategic approach to these technical and individual factors, it will be possible to boost customers’ intention to use IoT logistics services.
Originality/value - As far as the authors know, this paper is the first study to set significant factors that affect users’ BI to use IoT technology-applied logistics services provided by logistics companies and empirically analyze the causal relationships between proposed latent variables.
#Cainiao Logistics Network #Internet of Things (IoT) #TAM #User adoption behavioral intention

목차

Abstract
1. Introduction
2. Literature review
3. Model construction and research hypothesis
4. Research process
5. Conclusions
References

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