A Customer Loyalty Model for E-Commerce Recommendation Systems

Ebrahimi, Leila; Mirabi, Vahid Reza; Ranjbar, Mohammad; Pour, Esmaeil Hassan

doi:10.1142/s0219649219500369

Cited by 12 publications

(14 citation statements)

References 101 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It is important for organizations to offer new or innovative services that could meet the religious requirements of Muslims to attract more customers (Idris and Wahab, 2015; Steinicke et al , 2012). Considering the role of customer loyalty in the success of service companies (Ebrahimi et al , 2019; Gunawan et al , 2020), this study aims to investigate the drivers of Muslim travellers' revisit intention.…”

Section: Introductionmentioning

confidence: 99%

The impacts of Shariah-compliant hotel attributes on Muslim travellers revisit intention: religiosity as a moderator

Sulaiman

Iranmanesh

Foroughi

et al. 2021

JIMA

View full text Add to dashboard Cite

Purpose This paper aims to investigate the impact of Shariah-compliant hotel attributes on Muslim travellers’ revisit intention. Design/methodology/approach A total of 361 Muslim travellers who have stayed at Shariah-compliant hotels in the previous 12 months were recruited to take part in this research. The hypothesized research model was assessed using the partial least squares (PLS) approach. Findings The analysis revealed that Muslim travellers’ revisit intention is dependent on the halal food and beverages and the provision of Shariah-compliant facilities at the hotel, whereas the Shariah-compliant operation and interior design of hotels are not significantly associated with it. The findings also uncovered that religiosity moderates the impacts of Shariah-compliant facilities and interior design on travellers’ revisit intention. Practical implications Guidelines to offer services that meet Muslim travellers’ needs can be developed based on the results of this study to help Shariah-compliant hotel marketers attract and retain more customers. Originality/value The findings of this study have provided insights into the importance of halal attributes and practices in retaining Muslim customers at Shariah-compliant hotels.

show abstract

Section: Introductionmentioning

confidence: 99%

The impacts of Shariah-compliant hotel attributes on Muslim travellers revisit intention: religiosity as a moderator

Sulaiman

Iranmanesh

Foroughi

et al. 2021

JIMA

View full text Add to dashboard Cite

show abstract

“…It increases EC sales by converting website visitors into customers, showcasing new products, enhancing customer loyalty, increasing satisfaction, and encouraging repeat purchases from satisfied customers (Kanwal et al, 2021). Research indicates that personalized RS boosts sales by up to 35% through recommended products (Chaudhary & Chowdhury, 2018;Ebrahimi et al, 2019). Consequently, in the current e-commerce era, the significance of recommendation systems as a key tool for person-to-person marketing is growing continuously (Chaudhary & Chowdhury, 2018).…”

Section: Research Papermentioning

confidence: 99%

Enhancing E-Commerce with Big Data: From Browsing to Buying Through Recommendation Systems

Johnson,

Purwanegara,

Mulyono

2024

IJEBCE

View full text Add to dashboard Cite

This research focuses on analyzing the impact of a recommendation system on customer behavior in the e-commerce industry. This study examines the use of big data-driven product recommendations and tailored promotions to enhance customer engagement, conversion rates, and revenue generation. The importance of prioritizing customer engagement in the early stages of the purchasing process is emphasized, and key statistics related to customer behavior in e-commerce are presented. The objective of this research is to investigate the effectiveness of a recommendation system in influencing customer behavior and driving conversions in the e-commerce industry. The research design incorporates a case study analysis of a prominent marketplace in Indonesia. Data were collected from three automation trigger campaigns: browsing abandonment and purchase reminders. The findings of this research indicate that a recommendation system based on big data has a significant impact on customer behavior in the e-commerce industry. This research highlights the importance of prioritizing customer engagement and implementing effective recommendation systems to drive conversion rates and revenue in the e-commerce industry.

show abstract

“…e generation of the association rule model can be carried out offline, so that the real-time requirements of the system can be effectively recommended. In practice, the collaborative filtering algorithm is the most used [20].…”

Section: State Of the Artmentioning

confidence: 99%

Improvement of Business Analysis Method of E-Commerce System from the Perspective of Intelligent Recommendation System

Shao

2022

Advances in Multimedia

View full text Add to dashboard Cite

In recent years, with the continuous development of the country’s Internet platforms, China has gradually entered the e-commerce era of national online shopping, and more and more e-commerce platforms and stores have adopted intelligent recommendation systems to increase transaction rates. However, it is not easy for consumers to filter out the products they want from a large amount of information. The emergence of intelligent recommendation systems provides great convenience for people to screen out personalized products that meet their own characteristics. However, the algorithms used in traditional recommendation technology focus on the single-computer environment and do not consider the performance of the recommendation method when distributed parallel processing is required in the big data environment, so it cannot meet the personalized needs of users in the big data environment. Aiming at the new requirements for the development of e-commerce intelligent recommendation technology in the big data environment, this paper uses the big data processing technology based on cloud computing and focuses on the realization technology of the e-commerce intelligent recommendation algorithm and the comprehensive evaluation method of the recommendation system in the big data environment. A prototype system of personalized intelligent recommendation based on cloud computing has been developed, which is of great importance to meet the needs of e-commerce personalized intelligent recommendation in the big data environment, improve the effectiveness, scale, and real-time performance of the personalized intelligent recommendation system, and improve the level of personalized precision marketing., which is of theoretical significance and economic value.

show abstract

A Customer Loyalty Model for E-Commerce Recommendation Systems

Cited by 12 publications

References 101 publications

The impacts of Shariah-compliant hotel attributes on Muslim travellers revisit intention: religiosity as a moderator

The impacts of Shariah-compliant hotel attributes on Muslim travellers revisit intention: religiosity as a moderator

Enhancing E-Commerce with Big Data: From Browsing to Buying Through Recommendation Systems

Improvement of Business Analysis Method of E-Commerce System from the Perspective of Intelligent Recommendation System

Contact Info

Product

Resources

About