Prediction Of User Behavior Intention Towards Robo-Advisor Applications In Fintech Using The Utaut Model
In response to the COVID-19 pandemic, the advancement of automated services in the financial technology (fintech) sector had undeniably sped up tremendously. At the same time, the instability of the financial market and inflation had influenced specific groups of potential and existing investors to...
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| Format: | Thesis |
| Language: | English |
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2023
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| Online Access: | http://eprints.usm.my/62918/ http://eprints.usm.my/62918/1/Pages%20from%20CHEONG%20SUK%20FUN%20-%20TESIS.pdf |
| _version_ | 1848885119642763264 |
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| author | Cheong, Suk Fun |
| author_facet | Cheong, Suk Fun |
| author_sort | Cheong, Suk Fun |
| building | USM Institutional Repository |
| collection | Online Access |
| description | In response to the COVID-19 pandemic, the advancement of automated services in the financial technology (fintech) sector had undeniably sped up tremendously. At the same time, the instability of the financial market and inflation had influenced specific groups of potential and existing investors to reconsider investment choices and re-manage their financial planning. Even though, there is increase of investors across the market however the number of investor using robo-advisory service as their investment option is still considered low. The goal of the study was to examine the significant factors to influence customer’s behavioral intention from the perspective of using financial investment Robo-advisor (RA) in post-COVID-19 pandemic. |
| first_indexed | 2025-11-15T19:17:32Z |
| format | Thesis |
| id | usm-62918 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T19:17:32Z |
| publishDate | 2023 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-629182025-10-08T02:10:10Z http://eprints.usm.my/62918/ Prediction Of User Behavior Intention Towards Robo-Advisor Applications In Fintech Using The Utaut Model Cheong, Suk Fun QA75.5-76.95 Electronic computers. Computer science In response to the COVID-19 pandemic, the advancement of automated services in the financial technology (fintech) sector had undeniably sped up tremendously. At the same time, the instability of the financial market and inflation had influenced specific groups of potential and existing investors to reconsider investment choices and re-manage their financial planning. Even though, there is increase of investors across the market however the number of investor using robo-advisory service as their investment option is still considered low. The goal of the study was to examine the significant factors to influence customer’s behavioral intention from the perspective of using financial investment Robo-advisor (RA) in post-COVID-19 pandemic. 2023-12 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/62918/1/Pages%20from%20CHEONG%20SUK%20FUN%20-%20TESIS.pdf Cheong, Suk Fun (2023) Prediction Of User Behavior Intention Towards Robo-Advisor Applications In Fintech Using The Utaut Model. Masters thesis, Universiti Sains Malaysia. |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science Cheong, Suk Fun Prediction Of User Behavior Intention Towards Robo-Advisor Applications In Fintech Using The Utaut Model |
| title | Prediction Of User Behavior Intention Towards Robo-Advisor Applications In Fintech Using The Utaut Model |
| title_full | Prediction Of User Behavior Intention Towards Robo-Advisor Applications In Fintech Using The Utaut Model |
| title_fullStr | Prediction Of User Behavior Intention Towards Robo-Advisor Applications In Fintech Using The Utaut Model |
| title_full_unstemmed | Prediction Of User Behavior Intention Towards Robo-Advisor Applications In Fintech Using The Utaut Model |
| title_short | Prediction Of User Behavior Intention Towards Robo-Advisor Applications In Fintech Using The Utaut Model |
| title_sort | prediction of user behavior intention towards robo-advisor applications in fintech using the utaut model |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://eprints.usm.my/62918/ http://eprints.usm.my/62918/1/Pages%20from%20CHEONG%20SUK%20FUN%20-%20TESIS.pdf |