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Inhibitors to the adoption of facial recognition payments
Dissertation (MBA)--University of Pretoria, 2023
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
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University of Pretoria
2024
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| _version_ | 1867613706440933376 |
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| access_status_str | Open Access |
| author | Goodwin, Craig |
| author2 | Osakwe, Christian Nedu |
| author_browse | Goodwin, Craig Osakwe, Christian Nedu |
| author_facet | Osakwe, Christian Nedu Goodwin, Craig |
| author_sort | Goodwin, Craig |
| collection | Thesis |
| dc_rights_str_mv | © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. |
| description | Dissertation (MBA)--University of Pretoria, 2023 |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/96497 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:40:24.731Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/96497 Inhibitors to the adoption of facial recognition payments Goodwin, Craig Osakwe, Christian Nedu Facial Recognition Payment Systems Biometric Payments Inhibitors Dissertation (MBA)--University of Pretoria, 2023 Facial Recognition Payment Services (FRPS) are increasing in popularity globally, largely due to the convenience of the innovation. Existing literature has explored general consumer adoption of FRPS and resistance primarily relating to the privacy concerns the service introduces. This quantitative study explored potential inhibitors evident in consumers relating to the Use Intention (UI) and Intention to Recommend (ITR) as a payment service using Innovation Resistance Theory (IRT) as the core framework. Elements of the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT) and Status Quo Bias (SQB) theory were used to formulate the conceptual model. The study utilised an online survey to collect 303 consumer responses through a non-probability, snowball sampling methodology. Smart-PLS was then used to conduct Partial Least Squares Structural Equation Modelling (PLS-SEM) on the collected data. The research found that Usage, Risk, and Image Barriers are significant predictors of inhibition of Use Intention whilst Inertia and Mistrust significantly impede a consumer’s intention to recommend FRPS. It was further noted that Desirability did display signs of moderation within the model. pagibs2024 2024-06-14T10:37:42Z 2024-06-14T10:37:42Z 2024 2024-04-17 Mini Dissertation * A2024 http://hdl.handle.net/2263/96497 en © 2023 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | Facial Recognition Payment Systems Biometric Payments Inhibitors Goodwin, Craig Inhibitors to the adoption of facial recognition payments |
| title | Inhibitors to the adoption of facial recognition payments |
| title_full | Inhibitors to the adoption of facial recognition payments |
| title_fullStr | Inhibitors to the adoption of facial recognition payments |
| title_full_unstemmed | Inhibitors to the adoption of facial recognition payments |
| title_short | Inhibitors to the adoption of facial recognition payments |
| title_sort | inhibitors to the adoption of facial recognition payments |
| topic | Facial Recognition Payment Systems Biometric Payments Inhibitors |
| url | http://hdl.handle.net/2263/96497 |
| work_keys_str_mv | AT goodwincraig inhibitorstotheadoptionoffacialrecognitionpayments |