The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sector
Background: Online shopping in South Africa grew significantly during the pandemic, highlighting its potential across income groups. Leveraging artificial intelligence (AI) is crucial for e-commerce businesses to enhance customer experiences and stay competitive in the digital age. Objectives: This...
| 出版年: | South African Journal of Information Management |
|---|---|
| 主要な著者: | , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
AOSIS
2025-04-01
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| 主題: | |
| オンライン・アクセス: | https://sajim.co.za/index.php/sajim/article/view/1926 |
| _version_ | 1849412255574130688 |
|---|---|
| author | Kebashnee Moodley Lavina Sookhdeo |
| author_facet | Kebashnee Moodley Lavina Sookhdeo |
| author_sort | Kebashnee Moodley |
| collection | DOAJ |
| container_title | South African Journal of Information Management |
| description | Background: Online shopping in South Africa grew significantly during the pandemic, highlighting its potential across income groups. Leveraging artificial intelligence (AI) is crucial for e-commerce businesses to enhance customer experiences and stay competitive in the digital age.
Objectives: This study aimed to explore how AI-driven personalisation in e-commerce influences customer purchase decisions in the retail sector in South Africa.
Method: A quantitative approach within a post-positivist paradigm assessed how factors such as perceived usefulness (PU), perceived ease of use (PEU), relative advantage (RA), and voluntariness of use (VOU) impact purchase intention (PI), repeat purchase intention (RPI), and loyalty (LO). Data were collected through a 5-point Likert scale survey distributed to 175 South African e-commerce consumers using convenience sampling, with structural equation modelling (SEM) used for analysis.
Results: The study showed mixed results. Perceived usefulness had a negative but insignificant impact on purchase decisions, possibly because of unmet expectations or price sensitivity. Perceived ease of use also showed a negative but insignificant effect, suggesting that ease alone is insufficient if personalisation quality is lacking. Conversely, relative advantage and voluntariness of use positively influenced purchase decisions, with customers valuing time savings and control over their data.
Conclusion: This study highlights the importance of AI-driven personalisation in South African e-commerce, emphasising the balance between functional and emotional factors to build customer loyalty and influence purchase decisions in a growing market.
Contribution: The study offers practical implications for African businesses and suggests further research into generative AI and cross-country comparisons. |
| format | Article |
| id | doaj-art-e65dbbb796814ba99ee2893d8857df24 |
| institution | Directory of Open Access Journals |
| issn | 2078-1865 1560-683X |
| language | English |
| publishDate | 2025-04-01 |
| publisher | AOSIS |
| record_format | Article |
| spelling | doaj-art-e65dbbb796814ba99ee2893d8857df242025-08-20T03:48:53ZengAOSISSouth African Journal of Information Management2078-18651560-683X2025-04-01271e1e1610.4102/sajim.v27i1.1926834The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sectorKebashnee Moodley0Lavina Sookhdeo1Department of Information Systems, Faculty of Commerce, Law and Management, University of the Witwatersrand, JohannesburgWits Business School, Faculty of Commerce, Law and Management, University of the Witwatersrand, JohannesburgBackground: Online shopping in South Africa grew significantly during the pandemic, highlighting its potential across income groups. Leveraging artificial intelligence (AI) is crucial for e-commerce businesses to enhance customer experiences and stay competitive in the digital age. Objectives: This study aimed to explore how AI-driven personalisation in e-commerce influences customer purchase decisions in the retail sector in South Africa. Method: A quantitative approach within a post-positivist paradigm assessed how factors such as perceived usefulness (PU), perceived ease of use (PEU), relative advantage (RA), and voluntariness of use (VOU) impact purchase intention (PI), repeat purchase intention (RPI), and loyalty (LO). Data were collected through a 5-point Likert scale survey distributed to 175 South African e-commerce consumers using convenience sampling, with structural equation modelling (SEM) used for analysis. Results: The study showed mixed results. Perceived usefulness had a negative but insignificant impact on purchase decisions, possibly because of unmet expectations or price sensitivity. Perceived ease of use also showed a negative but insignificant effect, suggesting that ease alone is insufficient if personalisation quality is lacking. Conversely, relative advantage and voluntariness of use positively influenced purchase decisions, with customers valuing time savings and control over their data. Conclusion: This study highlights the importance of AI-driven personalisation in South African e-commerce, emphasising the balance between functional and emotional factors to build customer loyalty and influence purchase decisions in a growing market. Contribution: The study offers practical implications for African businesses and suggests further research into generative AI and cross-country comparisons.https://sajim.co.za/index.php/sajim/article/view/1926artificial intelligencepersonalisatione-commerceloyaltypurchase intentionrepeat purchase intention. |
| spellingShingle | Kebashnee Moodley Lavina Sookhdeo The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sector artificial intelligence personalisation e-commerce loyalty purchase intention repeat purchase intention. |
| title | The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sector |
| title_full | The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sector |
| title_fullStr | The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sector |
| title_full_unstemmed | The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sector |
| title_short | The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sector |
| title_sort | role of artificial intelligence personalisation in e commerce customer purchase decisions in the retail sector |
| topic | artificial intelligence personalisation e-commerce loyalty purchase intention repeat purchase intention. |
| url | https://sajim.co.za/index.php/sajim/article/view/1926 |
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