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Employee willingness to collaborate with autonomous delivery robots: a cross-cultural perspective
Journal article   Peer reviewed

Employee willingness to collaborate with autonomous delivery robots: a cross-cultural perspective

Jason Shin, Jutong Wen, Zhao Liu, Xinwei Liu, Christopher A. Boone, V. Myles Landers, Ginnah Lee and Juting Huang
International journal of physical distribution & logistics management, v 56(2), pp 172-194
11 Feb 2026

Abstract

Business & Economics Management Social Sciences
PurposeThis study investigates the factors influencing delivery workers' willingness to collaborate with autonomous delivery robots (ADRs). As ADRs become more prevalent in Logistics 4.0 environments, understanding human-technology collaboration is critical for supporting both operational efficiency and decent work.Design/methodology/approachWe draw from the technology acceptance model (TAM) and service robot acceptance model (sRAM) to develop a model and examine the impact of functional, social and relational factors on delivery workers' willingness to collaborate with ADRs. A field survey with a sample size of 483 and an online survey with a sample size of 292 were conducted to test the relationships of interest.FindingsThe results indicate that perceived usefulness, social influence and anthropomorphism have a positive influence on willingness to collaborate with ADRs, with procedural fairness acting as a significant mediator. While the overall model holds across both samples, differences in the strength of relationships suggest that cultural context shapes how employees perceive and respond to ADRs.Originality/valueThis study contributes to the literature by extending TAM and sRAM to the logistics sector and providing a cross-cultural perspective on employee-ADR collaboration. It addresses a critical gap in logistics and supply chain research, providing practical approaches to technology integration that support decent work in the Logistics 4.0 era.

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