Digitalizing the Container Terminal to Meet the Demand of the Stakeholders in the Transportation Supply Chain: Technology Acceptance Model Extended Approach Case Study in the Southeast Region of Vietnam
Hung Thanh Nguyen ()
Additional contact information
Hung Thanh Nguyen: University of Finance—Marketing
A chapter in Contemporary Economic Issues in Asian Countries: Proceeding of CEIAC 2022, Volume 1, 2023, pp 45-58 from Springer
Abstract:
Abstract Most of the world's port operators are aiming to adopt advanced technologies to survive and thrive in the context of the Fourth Industrial Revolution and under the severe impact of the COVID-19 pandemic. Thus, container terminals in the Vietnam Southeast region are undergoing digital transformation. The study sheds light on whether the digitization of the service supply processes of these terminals meets the needs of the stakeholders in the transport supply chain. The study examines and analyzes the relationship between technology complexity and compatibility to the continuance to use of container terminals through an extended technology acceptance model (TAM). The study mainly uses quantitative methods with the analysis technique of structural equation modeling (SEM). Survey subjects from 222 respondents are stakeholders in the transport supply chain, including: shipping lines, forwarding companies, logistics service providers and trucking companies in the Vietnam Southeast region. This study contributes to enriching and expanding the TAM on container terminal digitization. Research results show that the compatibility and usefulness of the technology have a significant influence on the continuance to use of container terminals. Container terminal managers should consider developing technology and operating systems with the appropriate level of utility and compatibility and according to the needs of the stakeholders in the transport supply chain.
Keywords: Terminal digitization; Technology acceptance model; Transportation supply chain (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-9669-6_3
Ordering information: This item can be ordered from
http://www.springer.com/9789811996696
DOI: 10.1007/978-981-19-9669-6_3
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().