TY - JOUR
T1 - Real-time visibility technologies and supply chain performance
T2 - an empirical investigation
AU - Carton, Thomas C.
AU - Ben-Zvi, Tal
AU - Ayata, Burak S.
N1 - Publisher Copyright:
Copyright © 2022 Inderscience Enterprises Ltd.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - RTV
KW - TAM
KW - customer satisfaction
KW - inventory
KW - performance
KW - real-time visibility
KW - response time
KW - supply chain
KW - technology acceptance model
UR - http://www.scopus.com/inward/record.url?scp=85133671710&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85133671710&partnerID=8YFLogxK
U2 - 10.1504/IJSTM.2022.123502
DO - 10.1504/IJSTM.2022.123502
M3 - Article
AN - SCOPUS:85133671710
SN - 1460-6720
VL - 28
SP - 1
EP - 23
JO - International Journal of Services, Technology and Management
JF - International Journal of Services, Technology and Management
IS - 1-2
ER -