TY - JOUR
T1 - Consumer heterogeneity for shared accommodations at pre-and-post adoption stages
T2 - Insights from travelers in Shanghai, China
AU - Qin, Lei
AU - Fang, Eddy S.
AU - Lai, Ivan Ka Wai
AU - Han, Yu
AU - Liu, Yidan
N1 - Publisher Copyright:
Copyright: © 2023 Qin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2023/6
Y1 - 2023/6
N2 - As shared accommodation has become one of the most important market developments in the tourism industry, numerous contributions have emerged regarding travelers’ motivations to choose shared accommodation. A debated question, however, resides in the heterogeneity of travelers based on motivations. This paper aims to reconcile opposing perspectives by comparing motivation segmentation at two distinct phases of the adoption of this accommodation option: (i) before the first travel–potential users showing interest (n = 420) and (ii) after the first travel–current users (n = 420). Factor analysis, combined with clustering, is applied to both samples to identify underlying motivations and traveler segments. Interestingly, we find that factors defining choice motivations are relatively stable throughout the adoption process, but the heterogeneity of motivations among travelers is higher in users, increasing from three to six clusters. This suggests that travelers’ motivations are dynamic and dependent on the phase of adoption.
AB - As shared accommodation has become one of the most important market developments in the tourism industry, numerous contributions have emerged regarding travelers’ motivations to choose shared accommodation. A debated question, however, resides in the heterogeneity of travelers based on motivations. This paper aims to reconcile opposing perspectives by comparing motivation segmentation at two distinct phases of the adoption of this accommodation option: (i) before the first travel–potential users showing interest (n = 420) and (ii) after the first travel–current users (n = 420). Factor analysis, combined with clustering, is applied to both samples to identify underlying motivations and traveler segments. Interestingly, we find that factors defining choice motivations are relatively stable throughout the adoption process, but the heterogeneity of motivations among travelers is higher in users, increasing from three to six clusters. This suggests that travelers’ motivations are dynamic and dependent on the phase of adoption.
UR - http://www.scopus.com/inward/record.url?scp=85162826652&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0286868
DO - 10.1371/journal.pone.0286868
M3 - Article
C2 - 37352234
AN - SCOPUS:85162826652
SN - 1932-6203
VL - 18
JO - PLoS ONE
JF - PLoS ONE
IS - 6 June
M1 - e0286868
ER -