IoT-Based Information System on Cold-Chain Logistics Service Quality (ICCLSQ) Management in Logistics 4.0

Yuk Ming Tang, Ka Yin Chau, Wei Ting Kuo, Xiao Xiao Liu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

This study aims to develop a model to assess the impact of IoT technologies on cold-chain logistics service quality management and information of fresh product e-commerce in logistics 4.0. With eight primary characteristics and 40 dimension-related variables, we created a theoretical framework of IoT-based Cold-chain Logistics Service Quality (ICCLSQ) management through a structural equation model. A follow-up online poll of 522 previous fresh product purchasers who experienced features of logistics 4.0 was undertaken to assess customer expectations regarding the quality of information management and logistics service qualities in fresh product e-commerce. Statistical analysis was undertaken to investigate the attribute correlations and linear regressions were performed for analysis. Customers’ pleasure, return motivation, security and privacy are the four-logistics service quality scale dimensions in fresh products information management. The new theoretical model enables a better understanding of the LSQ factors that affect customer satisfaction on the information management of fresh product e-commerce enterprises, as well as enhancing the deployment of their services in light of Logistics 4.0.

Original languageEnglish
JournalInformation Systems Frontiers
DOIs
Publication statusAccepted/In press - 2023

Keywords

  • E-commerce
  • Fresh product
  • Information management
  • Internet of Things (IoT)
  • Logistics 4.0
  • Logistics service quality
  • Theoretical model

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Information Systems
  • Computer Networks and Communications

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