Consumer acceptance of autonomous delivery robots for last-mile delivery: technological and health perspectives

The unprecedented outbreak of the novel coronavirus has led to a great shift toward online retailing and accelerated the need for contactless delivery. This study investigates how technological and health belief factors influence consumer acceptance of autonomous delivery robots (ADRs). Anchored in...

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Main Authors: Yuen Kum Fai, Cai, Lanhui, Lim, Yong Guang, Wang, Xueqin
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/171027
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1710272023-10-13T15:33:51Z Consumer acceptance of autonomous delivery robots for last-mile delivery: technological and health perspectives Yuen Kum Fai Cai, Lanhui Lim, Yong Guang Wang, Xueqin School of Civil and Environmental Engineering Engineering::Civil engineering Autonomous Delivery Robots Technology Acceptance Model The unprecedented outbreak of the novel coronavirus has led to a great shift toward online retailing and accelerated the need for contactless delivery. This study investigates how technological and health belief factors influence consumer acceptance of autonomous delivery robots (ADRs). Anchored in four behavioral theories [i.e., technology acceptance model, health belief model, perceived value (VAL) theory and trust theory], a synthesized model is developed. A total of 500 valid responses were collected through an online questionnaire in Singapore, and structural equation modeling was conducted to examine the responses. The results revealed that perceived ease of use (EOU), perceived usefulness (UFN), perceived susceptibility (SUS), perceived severity (SEV), self-efficacy (SEL) and cues to action (CUE) have a positive and significant influence on consumers' perceptions of the value of ADRs. The total effect analysis also showed that perceived VAL strongly affects consumer acceptance of ADRs. Academically, this study introduces both technological and health belief factors to explain consumer acceptance of ADRs. It also provides recommendations for policymakers and autonomous delivery robot developers on policy formulation, public communication, product design and infrastructure development. Published version 2023-10-10T06:14:12Z 2023-10-10T06:14:12Z 2022 Journal Article Yuen Kum Fai, Cai, L., Lim, Y. G. & Wang, X. (2022). Consumer acceptance of autonomous delivery robots for last-mile delivery: technological and health perspectives. Frontiers in Psychology, 13, 953370-. https://dx.doi.org/10.3389/fpsyg.2022.953370 1664-0640 https://hdl.handle.net/10356/171027 10.3389/fpsyg.2022.953370 36186388 2-s2.0-85139140444 13 953370 en Frontiers in Psychology © 2022 Yuen, Cai, Lim and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
Autonomous Delivery Robots
Technology Acceptance Model
spellingShingle Engineering::Civil engineering
Autonomous Delivery Robots
Technology Acceptance Model
Yuen Kum Fai
Cai, Lanhui
Lim, Yong Guang
Wang, Xueqin
Consumer acceptance of autonomous delivery robots for last-mile delivery: technological and health perspectives
description The unprecedented outbreak of the novel coronavirus has led to a great shift toward online retailing and accelerated the need for contactless delivery. This study investigates how technological and health belief factors influence consumer acceptance of autonomous delivery robots (ADRs). Anchored in four behavioral theories [i.e., technology acceptance model, health belief model, perceived value (VAL) theory and trust theory], a synthesized model is developed. A total of 500 valid responses were collected through an online questionnaire in Singapore, and structural equation modeling was conducted to examine the responses. The results revealed that perceived ease of use (EOU), perceived usefulness (UFN), perceived susceptibility (SUS), perceived severity (SEV), self-efficacy (SEL) and cues to action (CUE) have a positive and significant influence on consumers' perceptions of the value of ADRs. The total effect analysis also showed that perceived VAL strongly affects consumer acceptance of ADRs. Academically, this study introduces both technological and health belief factors to explain consumer acceptance of ADRs. It also provides recommendations for policymakers and autonomous delivery robot developers on policy formulation, public communication, product design and infrastructure development.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Yuen Kum Fai
Cai, Lanhui
Lim, Yong Guang
Wang, Xueqin
format Article
author Yuen Kum Fai
Cai, Lanhui
Lim, Yong Guang
Wang, Xueqin
author_sort Yuen Kum Fai
title Consumer acceptance of autonomous delivery robots for last-mile delivery: technological and health perspectives
title_short Consumer acceptance of autonomous delivery robots for last-mile delivery: technological and health perspectives
title_full Consumer acceptance of autonomous delivery robots for last-mile delivery: technological and health perspectives
title_fullStr Consumer acceptance of autonomous delivery robots for last-mile delivery: technological and health perspectives
title_full_unstemmed Consumer acceptance of autonomous delivery robots for last-mile delivery: technological and health perspectives
title_sort consumer acceptance of autonomous delivery robots for last-mile delivery: technological and health perspectives
publishDate 2023
url https://hdl.handle.net/10356/171027
_version_ 1781793811451609088