The Influencing Factors of the Elderly’s Returns in the Live Shopping
Main Article Content
Abstract
When live e-commerce has deeply penetrated into the consumption scene of the elderly, e-commerce returns have become a prominent pain point affecting the consumption experience of the elderly. This study discussed the impact of product perceived consistency, host reputation and leisure shopping orientation on the return of live broadcasting for the elderly. The empirical results showed that product perceived consistency has a significant negative impact on the return intention, which is stronger when the return policy is not good, and host reputation has an unexpected positive impact on the return intention. The trust of the elderly in the high-reputation hosts makes them more confident to exercise the right to return products they do not like. And the impact of leisure shopping orientation is only significant when the return policy is good. Based on this, this paper put forward some suggestions to optimize the service of live shopping for the elderly and protecting the reasonable return rights of the elderly consumers.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
References
T. L. Powers, and E. P. Jack, “The influence of cognitive dissonance on retail product returns,” Psychology marketing Letters, vol. 30, no. 8, pp. 724–735, 2013.
M. A. Eastlick, and S. Lotz, “Cognitive and institutional predictors of initial trust toward an online retailer. International,” Journal of Retail Distribution Management, vol. 39, no. 4, pp. 234–255, 2011.
J. D. Hess, W. Chu, and E. Gerstner, “Controlling product returns in direct marketing,” Marketing Letters, vol. 7, no. 4, pp. 307–317, 1996.
R. E. Anderson, “Consumer dissatisfaction: The effect of disconfirmed expectancy on perceived product performance,” Journal of Marketing Research, vol. 10, no. 1, pp. 38–44, 1973.
C. Lazaris, P. Sarantopoulos, A. Vrechopoulos, and G. Doukidis, “Effects of increased omnichannel integration on customer satisfaction and loyalty intentions,” International Journal of Electronic Commerce, vol. 25, no. 4, pp. 440–468, 2021.
M. Koufaris,and W. Hampton-Sosa, “The development of initial trust in an online company by new customers,” Information Management Decision, vol. 41, no. 3, pp. 377–397, 2004.
Y. Guo, K. Zhang, and C. Wang, “Way to success: understanding top streamer’s popularity and influence from the perspective of source characteristics,” Journal of Retailing Consumer Services, vol. 64, 2022.