The technology acceptance model for digitalised logistics in low-income countries
The case of Ethiopia
Mahlet Demere Tadesse (Swedish University of Agricultural Sciences)
Girma Gebresenbet (Swedish University of Agricultural Sciences)
David Ljungberg (Swedish University of Agricultural Sciences)
Lorant Antal Tavasszy (TU Delft - Transport, Mobility and Logistics, TU Delft - Transport and Logistics)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Digitalisation is transforming logistics operations worldwide. However, low-income countries continue to face significant barriers to adoption, including limited infrastructure and resources. In Ethiopia, supply chains remain inefficient due to inadequate technological integration. The technology acceptance model (TAM) has been used by several researchers to explain the usage and adoption of technologies. However, this framework has rarely been applied to digital logistics in the context of low-income countries. This study empirically investigated the intention of stakeholders in Ethiopian supply chains to adopt digital technologies using a modified version of TAM. Data were collected through an extensive survey of logistics professionals. The results indicated that, beyond perceived usefulness and ease of use, external factors such as infrastructure availability, human resource capacity, technological accessibility and supportive policies, significantly influence stakeholders' intention to adopt digital technologies. The study emphasises the importance of awareness-raising initiatives and the development of digital strategies to support successful digital transformation in low-income countries. These findings offer valuable insights for policymakers and practitioners seeking to better understand the relationship between technology adoption, user perceptions and enabling conditions.
Files
File under embargo until 19-03-2026