Othman Ibrahim
Biographic Data
| ID | 6196653 |
|---|---|
| NAME | Othman Ibrahim |
| GIVEN NAMES | Othman |
| FAMILY NAME | Ibrahim |
| SIGNATURE | IBRAHIM O |
| AFFILIATIONS | University of Technology Malaysia |
| ORCID | 0000-0002-9910-0962 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 9 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
The impact of coronavirus pandemic (Covid-19) on education
Loyalty of young female Arabic customers towards recommendation agents
A new model for customer purchase intention in e-commerce recommendation agents
Recommender systems were introduced to improve the online shopping experience by recommending appropriate products and services to customers according to their preferences. This research develops a new model by identifying the factors that influence customers' purchase intention in recommender systems. The research model of this study was developed by reviewing the previous studies on web-based information systems, e-commerce and recommender syst…
The impact of coronavirus pandemic (Covid-19) on education
Loyalty of young female Arabic customers towards recommendation agents
A new model for customer purchase intention in e-commerce recommendation agents
Recommender systems were introduced to improve the online shopping experience by recommending appropriate products and services to customers according to their preferences. This research develops a new model by identifying the factors that influence customers' purchase intention in recommender systems. The research model of this study was developed by reviewing the previous studies on web-based information systems, e-commerce and recommender syst…
A new model for customer purchase intention in e-commerce recommendation agents
Recommender systems were introduced to improve the online shopping experience by recommending appropriate products and services to customers according to their preferences. This research develops a new model by identifying the factors that influence customers' purchase intention in recommender systems. The research model of this study was developed by reviewing the previous studies on web-based information systems, e-commerce and recommender syst…
Loyalty of young female Arabic customers towards recommendation agents
The impact of coronavirus pandemic (Covid-19) on education
Business (3 works) · Computer Science (3 works) · Marketing (3 works) · Advertising (2 works) · Digital Marketing and Social Media (2 works) · E-commerce (2 works) · Technology Adoption and User Behaviour (2 works) · World Wide Web (2 works) · Adaptability (1 work) · Asynchronous learning (1 work)