Benefit-based O2O commerce segmentation: a means-end chain approach
Lin Xiao (),
Zixiu Guo () and
John D’Ambra ()
Additional contact information
Lin Xiao: Nanjing University of Aeronautics and Astronautics
Zixiu Guo: UNSW Sydney
John D’Ambra: UNSW Sydney
Electronic Commerce Research, 2019, vol. 19, issue 2, No 6, 409-449
Abstract:
Abstract We examined Online-to-Offline (O2O) commerce consumers’ market segments and consumption relevant cognitive structures. Laddering interview technique was employed to collect data from 51 O2O consumers in terms of benefits they sought from O2O platforms. A three-group O2O consumer segments were identified based on the benefits they sought, namely Return-sensitive shoppers, Risk-sensitive shoppers, and Rational shoppers, and a corresponding hierarchical cognitive structure model for each sub-group of consumers was developed linking attributes needed to fulfill the benefits and values to reinforce the benefits. The three sub-group O2O consumers were found to be significantly different in terms of the key benefits sought and attributes needed to realize the same benefit sought. Moreover, benefit-based segmentation has shown advantages over the item-based segmentation method used in prior research. This study makes a significant contribution to O2O business regarding consumer purchasing behaviors and segmentation methodology.
Keywords: O2O commerce; Benefit-based segmentation; Consumption relevant cognitive structure; Means-end chain theory (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://link.springer.com/10.1007/s10660-017-9286-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:elcore:v:19:y:2019:i:2:d:10.1007_s10660-017-9286-3
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10660
DOI: 10.1007/s10660-017-9286-3
Access Statistics for this article
Electronic Commerce Research is currently edited by James Westland
More articles in Electronic Commerce Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().