Real-time visibility technologies and supply chain performance: an empirical investigation

Thomas C. Carton, Tal Ben-Zvi, Burak S. Ayata

Research output: Contribution to journalArticlepeer-review

Abstract

This research examines how real-time visibility technology acceptance affects the performance of healthcare and retail cargo supply chains. A modified technology acceptance model (TAM) frames the analysis. It was operationalised and tested via empirical study; it is the basis for the analysis of real-time visibility variables. Findings support the claim that users’ perceived ease of use significantly impacts real-time supply chain visibility adoption, which positively impacts supply chain performance. Results confirm previous theoretical findings. Practically, this research details a novel cargo visibility solution, a unitary technology that unmasks key pallet- and item-level data. And real-time cargo visibility improves contingency planning and increases customer satisfaction. This supports the study’s aggregate purpose, to exploit the platform’s potential as a pragmatic and proactive cargo tracking tool.

Original languageEnglish
Pages (from-to)1-23
Number of pages23
JournalInternational Journal of Services, Technology and Management
Volume28
Issue number1-2
DOIs
StatePublished - 2022

Keywords

  • RTV
  • TAM
  • customer satisfaction
  • inventory
  • performance
  • real-time visibility
  • response time
  • supply chain
  • technology acceptance model

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