A Custome Loyalty Model fo E-Commerce Recommendation Systems
The main objective of this research is to provide a customer loyalty model for e-commerce recommender systems. The proposed model is developed using Delone and McLean Information System success model and a set of factors which are identified from the literature. To test the research hypotheses of th...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | fas |
| Published: |
Allameh Tabataba'i University Press
2019-10-01
|
| Series: | مطالعات مدیریت کسب و کار هوشمند |
| Subjects: | |
| Online Access: | https://ims.atu.ac.ir/article_10379_8922462532b81104b77ca9c5b0d780f4.pdf |
| _version_ | 1797386034878611456 |
|---|---|
| author | Leila Ebrahimi Vahid Reza Mirabi Mohammad Hossein Ranjbar Esmaeil Hassan Pour |
| author_facet | Leila Ebrahimi Vahid Reza Mirabi Mohammad Hossein Ranjbar Esmaeil Hassan Pour |
| author_sort | Leila Ebrahimi |
| collection | DOAJ |
| description | The main objective of this research is to provide a customer loyalty model for e-commerce recommender systems. The proposed model is developed using Delone and McLean Information System success model and a set of factors which are identified from the literature. To test the research hypotheses of the developed model, a questionnaire survey is conducted and the data is collected from the 384 customers in a B2C website. We used SPSS and SmartPLS software for descriptive statistics and path analyses and to verify the proposed model. The result of the Structural Equations Modeling showed that trust has a significant relationship with the customers’ satisfaction in the e-commerce recommendation systems. In addition, the results revealed that satisfaction with the recommended products can improve the customers’ loyalty in the B2C recommendation systems. The proposed model will help the e-commerce managers to improve their website recommendation systems and increase the sale of the products by achieving the customers’ loyalty in the online shopping websites. |
| first_indexed | 2024-03-08T22:03:05Z |
| format | Article |
| id | doaj.art-39813f4b60f342689fb5d58a6f8825f2 |
| institution | Directory Open Access Journal |
| issn | 2821-0964 2821-0816 |
| language | fas |
| last_indexed | 2024-03-08T22:03:05Z |
| publishDate | 2019-10-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | مطالعات مدیریت کسب و کار هوشمند |
| spelling | doaj.art-39813f4b60f342689fb5d58a6f8825f22023-12-19T10:33:46ZfasAllameh Tabataba'i University Pressمطالعات مدیریت کسب و کار هوشمند2821-09642821-08162019-10-0182914317010.22054/ims.2019.1037910379A Custome Loyalty Model fo E-Commerce Recommendation SystemsLeila Ebrahimi0Vahid Reza Mirabi1Mohammad Hossein Ranjbar2Esmaeil Hassan Pour3Ph.D Student of Business Management , Department of Management, Qeshm Branch, Islamic Azad University, IranFaculty Member, Department of Management, Central Tehran Branch, Islamic Azad University, Tehran (Corresponding Author: vrmirabi@yahoo.com)Faculty Member, Department of Accounting and Management, Faculty of Humanities, Bandar Abbas Branch, Islamic Azad University, Bandar AbbasFaculty Member, Department of Management, Qeshm Branch, Islamic Azad University, QeshmThe main objective of this research is to provide a customer loyalty model for e-commerce recommender systems. The proposed model is developed using Delone and McLean Information System success model and a set of factors which are identified from the literature. To test the research hypotheses of the developed model, a questionnaire survey is conducted and the data is collected from the 384 customers in a B2C website. We used SPSS and SmartPLS software for descriptive statistics and path analyses and to verify the proposed model. The result of the Structural Equations Modeling showed that trust has a significant relationship with the customers’ satisfaction in the e-commerce recommendation systems. In addition, the results revealed that satisfaction with the recommended products can improve the customers’ loyalty in the B2C recommendation systems. The proposed model will help the e-commerce managers to improve their website recommendation systems and increase the sale of the products by achieving the customers’ loyalty in the online shopping websites.https://ims.atu.ac.ir/article_10379_8922462532b81104b77ca9c5b0d780f4.pdfe-commerceloyaltyrecommendation systemstrustsatisfactiondelone and mclean model |
| spellingShingle | Leila Ebrahimi Vahid Reza Mirabi Mohammad Hossein Ranjbar Esmaeil Hassan Pour A Custome Loyalty Model fo E-Commerce Recommendation Systems مطالعات مدیریت کسب و کار هوشمند e-commerce loyalty recommendation systems trust satisfaction delone and mclean model |
| title | A Custome Loyalty Model fo E-Commerce Recommendation Systems |
| title_full | A Custome Loyalty Model fo E-Commerce Recommendation Systems |
| title_fullStr | A Custome Loyalty Model fo E-Commerce Recommendation Systems |
| title_full_unstemmed | A Custome Loyalty Model fo E-Commerce Recommendation Systems |
| title_short | A Custome Loyalty Model fo E-Commerce Recommendation Systems |
| title_sort | custome loyalty model fo e commerce recommendation systems |
| topic | e-commerce loyalty recommendation systems trust satisfaction delone and mclean model |
| url | https://ims.atu.ac.ir/article_10379_8922462532b81104b77ca9c5b0d780f4.pdf |
| work_keys_str_mv | AT leilaebrahimi acustomeloyaltymodelfoecommercerecommendationsystems AT vahidrezamirabi acustomeloyaltymodelfoecommercerecommendationsystems AT mohammadhosseinranjbar acustomeloyaltymodelfoecommercerecommendationsystems AT esmaeilhassanpour acustomeloyaltymodelfoecommercerecommendationsystems AT leilaebrahimi customeloyaltymodelfoecommercerecommendationsystems AT vahidrezamirabi customeloyaltymodelfoecommercerecommendationsystems AT mohammadhosseinranjbar customeloyaltymodelfoecommercerecommendationsystems AT esmaeilhassanpour customeloyaltymodelfoecommercerecommendationsystems |