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Information Journal Paper

Title

A Custome Loyalty Model fo E-Commerce Recommendation Systems

Pages

  143-170

Abstract

 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.

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    APA: Copy

    EBRAHIMI, LEILA, MIRABI, VAHID REZA, RANJBAR, MOHAMMAD HOSSEIN, & Hassanpour, Esmaeil. (2019). A Custome Loyalty Model fo E-Commerce Recommendation Systems. JOURNAL OF BUSINESS INTELLIGENCE MANAGEMENT STUDIES, 8(29 ), 143-170. SID. https://sid.ir/paper/268117/en

    Vancouver: Copy

    EBRAHIMI LEILA, MIRABI VAHID REZA, RANJBAR MOHAMMAD HOSSEIN, Hassanpour Esmaeil. A Custome Loyalty Model fo E-Commerce Recommendation Systems. JOURNAL OF BUSINESS INTELLIGENCE MANAGEMENT STUDIES[Internet]. 2019;8(29 ):143-170. Available from: https://sid.ir/paper/268117/en

    IEEE: Copy

    LEILA EBRAHIMI, VAHID REZA MIRABI, MOHAMMAD HOSSEIN RANJBAR, and Esmaeil Hassanpour, “A Custome Loyalty Model fo E-Commerce Recommendation Systems,” JOURNAL OF BUSINESS INTELLIGENCE MANAGEMENT STUDIES, vol. 8, no. 29 , pp. 143–170, 2019, [Online]. Available: https://sid.ir/paper/268117/en

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