Brand Trust and Consumer Loyalty in E-Commerce Platforms
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| Formato: | Recurso digital |
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2025
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| _version_ | 1866902004246249472 |
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| author | Vagdiya, Dilipkumar A. |
| author_facet | Vagdiya, Dilipkumar A. |
| contents | <h2><em><span>Abstract</span></em></h2> <p><em><span>This study explores the complex relationship between consumer loyalty and brand trust in the rapidly expanding e-commerce industry, which is expected to reach $6.4 trillion by 2025. Understanding the fundamentals of customer trust and how it translates into long-term loyalty is crucial for stakeholders hoping to prosper in this cutthroat climate given this substantial market worth. This study specifically explores how artificial intelligence developments, including chatbots and personalized recommendation systems, moderate the relationship between online consumers' loyalty, satisfaction, and trust. In order to shed light on how these technologies affect customer perceptions and decision-making, it uses a quantitative research technique that analyses data gathered from e-commerce consumers interacting with AI-based recommendation systems using structural equation modelling. The results seek to clarify the complex processes by which AI-driven personalization influences consumer perceptions, ultimately promoting sustained interaction and recurring purchases in online marketplaces.</span></em></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18205186 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Brand Trust and Consumer Loyalty in E-Commerce Platforms Vagdiya, Dilipkumar A. : brand trust, consumer loyalty, e-commerce platforms, AI personalization, recommendation systems, chatbots, customer satisfaction, structural equation modelling <h2><em><span>Abstract</span></em></h2> <p><em><span>This study explores the complex relationship between consumer loyalty and brand trust in the rapidly expanding e-commerce industry, which is expected to reach $6.4 trillion by 2025. Understanding the fundamentals of customer trust and how it translates into long-term loyalty is crucial for stakeholders hoping to prosper in this cutthroat climate given this substantial market worth. This study specifically explores how artificial intelligence developments, including chatbots and personalized recommendation systems, moderate the relationship between online consumers' loyalty, satisfaction, and trust. In order to shed light on how these technologies affect customer perceptions and decision-making, it uses a quantitative research technique that analyses data gathered from e-commerce consumers interacting with AI-based recommendation systems using structural equation modelling. The results seek to clarify the complex processes by which AI-driven personalization influences consumer perceptions, ultimately promoting sustained interaction and recurring purchases in online marketplaces.</span></em></p> |
| title | Brand Trust and Consumer Loyalty in E-Commerce Platforms |
| topic | : brand trust, consumer loyalty, e-commerce platforms, AI personalization, recommendation systems, chatbots, customer satisfaction, structural equation modelling |
| url | https://doi.org/10.5281/zenodo.18205186 |