Enhancing Marketing Personalized Shopping Recommendations in the UAE: Leveraging Logic Mining and Advanced Technologies
This study investigates how personalized recommendation systems in e-commerce operate, using Social Exchange Theory as its theoretical basis. Through empirical research, we analyze the effects of improving consumer experiences, enhancing product suggestions, and building trust and satisfaction on th...
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| Format: | Article |
| Language: | English |
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Sciendo
2024-12-01
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| Series: | Foundations of Management |
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| Online Access: | https://doi.org/10.2478/fman-2024-0021 |
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| _version_ | 1832570299430731776 |
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| author | SHWEDEH Fanar DABASH Amro DABBAGH Tamadher AL ABURAYYA Ahmad |
| author_facet | SHWEDEH Fanar DABASH Amro DABBAGH Tamadher AL ABURAYYA Ahmad |
| author_sort | SHWEDEH Fanar |
| collection | DOAJ |
| description | This study investigates how personalized recommendation systems in e-commerce operate, using Social Exchange Theory as its theoretical basis. Through empirical research, we analyze the effects of improving consumer experiences, enhancing product suggestions, and building trust and satisfaction on the effectiveness of personalized recommendation systems. Our study combines practical techniques with theoretical knowledge to improve user engagement and build long-lasting brand loyalty. This research provides valuable insights for e-commerce stakeholders, suggesting that individualized recommendations might enhance consumer satisfaction in the digital marketplace. |
| format | Article |
| id | doaj-art-495d545dd6ae4803801d6b9c73773b23 |
| institution | Kabale University |
| issn | 2300-5661 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Foundations of Management |
| spelling | doaj-art-495d545dd6ae4803801d6b9c73773b232025-02-02T15:48:06ZengSciendoFoundations of Management2300-56612024-12-0116134535810.2478/fman-2024-0021Enhancing Marketing Personalized Shopping Recommendations in the UAE: Leveraging Logic Mining and Advanced TechnologiesSHWEDEH Fanar0DABASH Amro1DABBAGH Tamadher AL2ABURAYYA Ahmad3City University Ajman, Ajman, UNITED ARAB EMIRATESThe British University in Dubai, Dubai, UNITED ARAB EMIRATESCity University Ajman, Ajman, UNITED ARAB EMIRATESCity University Ajman, Ajman, UNITED ARAB EMIRATESThis study investigates how personalized recommendation systems in e-commerce operate, using Social Exchange Theory as its theoretical basis. Through empirical research, we analyze the effects of improving consumer experiences, enhancing product suggestions, and building trust and satisfaction on the effectiveness of personalized recommendation systems. Our study combines practical techniques with theoretical knowledge to improve user engagement and build long-lasting brand loyalty. This research provides valuable insights for e-commerce stakeholders, suggesting that individualized recommendations might enhance consumer satisfaction in the digital marketplace.https://doi.org/10.2478/fman-2024-0021personalized recommendation systemsconsumer challengestrust and satisfactionuser engagementdigital marketplacem300 |
| spellingShingle | SHWEDEH Fanar DABASH Amro DABBAGH Tamadher AL ABURAYYA Ahmad Enhancing Marketing Personalized Shopping Recommendations in the UAE: Leveraging Logic Mining and Advanced Technologies Foundations of Management personalized recommendation systems consumer challenges trust and satisfaction user engagement digital marketplace m300 |
| title | Enhancing Marketing Personalized Shopping Recommendations in the UAE: Leveraging Logic Mining and Advanced Technologies |
| title_full | Enhancing Marketing Personalized Shopping Recommendations in the UAE: Leveraging Logic Mining and Advanced Technologies |
| title_fullStr | Enhancing Marketing Personalized Shopping Recommendations in the UAE: Leveraging Logic Mining and Advanced Technologies |
| title_full_unstemmed | Enhancing Marketing Personalized Shopping Recommendations in the UAE: Leveraging Logic Mining and Advanced Technologies |
| title_short | Enhancing Marketing Personalized Shopping Recommendations in the UAE: Leveraging Logic Mining and Advanced Technologies |
| title_sort | enhancing marketing personalized shopping recommendations in the uae leveraging logic mining and advanced technologies |
| topic | personalized recommendation systems consumer challenges trust and satisfaction user engagement digital marketplace m300 |
| url | https://doi.org/10.2478/fman-2024-0021 |
| work_keys_str_mv | AT shwedehfanar enhancingmarketingpersonalizedshoppingrecommendationsintheuaeleveraginglogicminingandadvancedtechnologies AT dabashamro enhancingmarketingpersonalizedshoppingrecommendationsintheuaeleveraginglogicminingandadvancedtechnologies AT dabbaghtamadheral enhancingmarketingpersonalizedshoppingrecommendationsintheuaeleveraginglogicminingandadvancedtechnologies AT aburayyaahmad enhancingmarketingpersonalizedshoppingrecommendationsintheuaeleveraginglogicminingandadvancedtechnologies |