AMOS-based analysis of factors influencing customer loyalty
In order to better reduce the cost of e-commerce operations and save resources for marketing promotion, e-commerce merchants must adopt a reasonable and effective way to screen customers and improve the competitiveness of their own products. This paper takes the measurement of latent variable custom...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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EDP Sciences
2021-01-01
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Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/27/e3sconf_ictees2021_03068.pdf |
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author | Zhu Qinying Yu Luyang Luo Jing Cao Songlin |
author_facet | Zhu Qinying Yu Luyang Luo Jing Cao Songlin |
author_sort | Zhu Qinying |
collection | DOAJ |
description | In order to better reduce the cost of e-commerce operations and save resources for marketing promotion, e-commerce merchants must adopt a reasonable and effective way to screen customers and improve the competitiveness of their own products. This paper takes the measurement of latent variable customer loyalty as the starting point, collects data through the design of questionnaires as the research basis, and uses Analysis of Moment Structure (AMOS) to construct structural equation model to conduct a validating factor analysis. It was found that the hypotheses proposed from the three subjects of business, customers themselves and logistics are all basically valid, and all three have a positive impact on loyalty. Ecommerce businesses should improve the service quality of their stores, ensure that their products can meet the needs of most customers, and build a good brand image, and should also carefully choose logistics companies that are reliable and new to customers to cooperate with. |
first_indexed | 2024-12-14T21:36:44Z |
format | Article |
id | doaj.art-bb63312513014197b45716cc1751d9e1 |
institution | Directory Open Access Journal |
issn | 2267-1242 |
language | English |
last_indexed | 2024-12-14T21:36:44Z |
publishDate | 2021-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj.art-bb63312513014197b45716cc1751d9e12022-12-21T22:46:34ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012510306810.1051/e3sconf/202125103068e3sconf_ictees2021_03068AMOS-based analysis of factors influencing customer loyaltyZhu QinyingYu LuyangLuo JingCao SonglinIn order to better reduce the cost of e-commerce operations and save resources for marketing promotion, e-commerce merchants must adopt a reasonable and effective way to screen customers and improve the competitiveness of their own products. This paper takes the measurement of latent variable customer loyalty as the starting point, collects data through the design of questionnaires as the research basis, and uses Analysis of Moment Structure (AMOS) to construct structural equation model to conduct a validating factor analysis. It was found that the hypotheses proposed from the three subjects of business, customers themselves and logistics are all basically valid, and all three have a positive impact on loyalty. Ecommerce businesses should improve the service quality of their stores, ensure that their products can meet the needs of most customers, and build a good brand image, and should also carefully choose logistics companies that are reliable and new to customers to cooperate with.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/27/e3sconf_ictees2021_03068.pdf |
spellingShingle | Zhu Qinying Yu Luyang Luo Jing Cao Songlin AMOS-based analysis of factors influencing customer loyalty E3S Web of Conferences |
title | AMOS-based analysis of factors influencing customer loyalty |
title_full | AMOS-based analysis of factors influencing customer loyalty |
title_fullStr | AMOS-based analysis of factors influencing customer loyalty |
title_full_unstemmed | AMOS-based analysis of factors influencing customer loyalty |
title_short | AMOS-based analysis of factors influencing customer loyalty |
title_sort | amos based analysis of factors influencing customer loyalty |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/27/e3sconf_ictees2021_03068.pdf |
work_keys_str_mv | AT zhuqinying amosbasedanalysisoffactorsinfluencingcustomerloyalty AT yuluyang amosbasedanalysisoffactorsinfluencingcustomerloyalty AT luojing amosbasedanalysisoffactorsinfluencingcustomerloyalty AT caosonglin amosbasedanalysisoffactorsinfluencingcustomerloyalty |