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Title The four facets of self-collection service for e-commerce delivery: Conceptualisation and latent class analysis of user segments
ID_Doc 32357
Authors Wang, XQ; Wong, YD; Teo, CC; Yuen, KF; Feng, XH
Title The four facets of self-collection service for e-commerce delivery: Conceptualisation and latent class analysis of user segments
Year 2020
Published
DOI 10.1016/j.elerap.2019.100896
Abstract With the rapid growth of e-commerce and technology-based self-services, consumers are increasingly encouraged to co-create individualised self-collection services. This study aims to conceptualise the multiple key facets of self-collection as viewed from consumers' perspectives and identify the latent consumer segments of the service. A total of 603 valid responses are collected, and the data are analysed using the latent class analysis. Adopting the paradigm of value co-creation, we conceptualised the self-collection service as service innovation, an empowerment tool, a green initiative and a value-based experience. Based on the conceptualisation, five latent segments of the service are identified, which are labelled as Patrons, Traditionalists, Self-enhancers, Green-lovers and Haters (from the largest to the smallest segment). By doing this, this study contributes to the literature by demonstrating the heterogeneity in consumers' participation patterns of value co-creation in e-commerce last-mile logistics.
Author Keywords E-commerce; Last-mile logistics; Value co-creation; Market segmentation; Latent class analysis
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000517564000004
WoS Category Business; Computer Science, Information Systems; Computer Science, Interdisciplinary Applications
Research Area Business & Economics; Computer Science
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