An investigation of customers’ intention to use self-collection services for last-mile delivery

By Kum Fai Yuen, Xueqin Wang, Livia Ng, Y. Wong. Transport Policy, 2018

242 citations recorded by the source corpus.

Abstract Anchored on Innovation Diffusion Theory (IDT), this paper analyses customers' intention to use self-collection as a last-mile delivery method. Characteristics of innovation were hypothesised to be key factors influencing customers' intention to use self-collection services. Demographic characteristics were also tested. Survey data were collected from 164 consumers located in Singapore and analysed using hierarchical regression analysis. The results show that among the five key characteristics of innovation, relative advantage, compatibility and trialability positively influence customers' intention to use self-collection services. It is also found that the pre-eminent step to improve customers' intention is to integrate self-collection into consumers’ lifestyle, values and needs. In addition, self-collection services should be marketed in a manner that confers a clear advantage over other last-mile delivery methods. This paper enriches the literature on IDT as well as the management and design of self-collection services for last-mile delivery.

Subfields: Automotive Engineering, Building and Construction, Marketing

View Paper: https://www.semanticscholar.org/paper/939f9bf7a9be37a68410937e7979990203aacc08

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. E. Alvarez-Palau
2. M. Viu-Roig
3. Xueqin Wang
4. Guanqiu Qi
5. Lanhui Cai
6. Kum Fai Yuen

In Building and Construction

1. E. Alvarez-Palau
2. M. Viu-Roig

In Marketing

1. E. Alvarez-Palau
2. M. Viu-Roig
3. Xueqin Wang
4. Guanqiu Qi
5. Lanhui Cai
6. Kum Fai Yuen

Citations in the corpus

• Factors influencing autonomous vehicle adoption: an application of the technology acceptance model and innovation diffusion theory (2020, background): “According to IDT, the innovation attributes of AV in fl uence consumers ’ decision to use it (Yuen et al. 2018).”
• The Impact of E-Commerce-Related Last-Mile Logistics on Cities: A Systematic Literature Review (2020, methodology): “They go on to say that more work needs to be done to make consumers aware of the advantages of such a service by communicating the environmental and social impacts involved, as well as the flexibility it offers [44,63].”