A behavioural study on consumer adoption of self-collection service for e-commerce freight delivery (initial adoption)

In this study, we examine consumers’ behaviour in the initial adoption stage of Automated Parcel Lockers (APLs) in last-mile delivery. In the initial adoption of technologies, the consumer might have heard of the technology but have never used it before. For logistics service providers, implementing...

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Main Author: Liow, Xing Zi
Other Authors: Teo Chee Chong
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75693
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-756932023-03-03T16:55:21Z A behavioural study on consumer adoption of self-collection service for e-commerce freight delivery (initial adoption) Liow, Xing Zi Teo Chee Chong School of Civil and Environmental Engineering DRNTU::Engineering::Maritime studies::Maritime management and business In this study, we examine consumers’ behaviour in the initial adoption stage of Automated Parcel Lockers (APLs) in last-mile delivery. In the initial adoption of technologies, the consumer might have heard of the technology but have never used it before. For logistics service providers, implementing self-collection technology in their last-mile delivery strategy brings about benefits for logistics players. However, they may not have a good grasp on how consumers perceive the self-collection experience. Hence, the purpose of this study is to investigate the factors that motivate consumers’ initial adoption of Self-Service Technologies (SSTs) such as APLs. To bridge the gap in literature, the Diffusion of Innovation (DOI) theory (Rogers, 1995) is employed in this study to assess consumers’ level of acceptance of APLs. Interviews conducted with industry players and a pilot survey on consumers of self-checkout counters in supermarkets shed light on consumers’ behaviour when adopting Self-Service Technologies (SSTs) in other industries. Benefits and limitations of APLs were discussed that led to a quantitative survey to find the correlation between the DOI theory characteristics and consumer intention to begin adopting APLs. The attributes compatibility, relative advantage and observability were found to have positive influence on consumer’s intention toward using APLs. These insights contributed to research in the last-mile segment and had managerial implications that aid operators to divert their resources effectively to increase adoption rates. One example is collaboration among government agencies and logistics players. Further research can be done to gain more perspectives that may increase the rate of adoption of APLs. Bachelor of Science (Maritime Studies) 2018-06-07T07:19:30Z 2018-06-07T07:19:30Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75693 en Nanyang Technological University 59 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Maritime studies::Maritime management and business
spellingShingle DRNTU::Engineering::Maritime studies::Maritime management and business
Liow, Xing Zi
A behavioural study on consumer adoption of self-collection service for e-commerce freight delivery (initial adoption)
description In this study, we examine consumers’ behaviour in the initial adoption stage of Automated Parcel Lockers (APLs) in last-mile delivery. In the initial adoption of technologies, the consumer might have heard of the technology but have never used it before. For logistics service providers, implementing self-collection technology in their last-mile delivery strategy brings about benefits for logistics players. However, they may not have a good grasp on how consumers perceive the self-collection experience. Hence, the purpose of this study is to investigate the factors that motivate consumers’ initial adoption of Self-Service Technologies (SSTs) such as APLs. To bridge the gap in literature, the Diffusion of Innovation (DOI) theory (Rogers, 1995) is employed in this study to assess consumers’ level of acceptance of APLs. Interviews conducted with industry players and a pilot survey on consumers of self-checkout counters in supermarkets shed light on consumers’ behaviour when adopting Self-Service Technologies (SSTs) in other industries. Benefits and limitations of APLs were discussed that led to a quantitative survey to find the correlation between the DOI theory characteristics and consumer intention to begin adopting APLs. The attributes compatibility, relative advantage and observability were found to have positive influence on consumer’s intention toward using APLs. These insights contributed to research in the last-mile segment and had managerial implications that aid operators to divert their resources effectively to increase adoption rates. One example is collaboration among government agencies and logistics players. Further research can be done to gain more perspectives that may increase the rate of adoption of APLs.
author2 Teo Chee Chong
author_facet Teo Chee Chong
Liow, Xing Zi
format Final Year Project
author Liow, Xing Zi
author_sort Liow, Xing Zi
title A behavioural study on consumer adoption of self-collection service for e-commerce freight delivery (initial adoption)
title_short A behavioural study on consumer adoption of self-collection service for e-commerce freight delivery (initial adoption)
title_full A behavioural study on consumer adoption of self-collection service for e-commerce freight delivery (initial adoption)
title_fullStr A behavioural study on consumer adoption of self-collection service for e-commerce freight delivery (initial adoption)
title_full_unstemmed A behavioural study on consumer adoption of self-collection service for e-commerce freight delivery (initial adoption)
title_sort behavioural study on consumer adoption of self-collection service for e-commerce freight delivery (initial adoption)
publishDate 2018
url http://hdl.handle.net/10356/75693
_version_ 1759854467348430848