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

Authors: Thomas C. Carton; Tal Ben-Zvi; Burak S. Ayata

Addresses: Inner-City Academics, 111 South Mann Ave., 5H, East Orange, New Jersey, 07018, USA ' Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, New Jersey 07030, USA ' Stevens Institute of Technology, 1 Castle Point Terrace, Hoboken, New Jersey 07030, USA

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.

Keywords: supply chain; real-time visibility; RTV; technology acceptance model; TAM; performance; inventory; response time; customer satisfaction.

DOI: 10.1504/IJSTM.2022.123502

International Journal of Services Technology and Management, 2022 Vol.28 No.1/2, pp.1 - 23

Accepted: 15 Sep 2021
Published online: 24 Jun 2022 *

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