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...

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書誌詳細
出版年:South African Journal of Information Management
主要な著者: Kebashnee Moodley, Lavina Sookhdeo
フォーマット: 論文
言語:英語
出版事項: AOSIS 2025-04-01
主題:
オンライン・アクセス:https://sajim.co.za/index.php/sajim/article/view/1926
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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.
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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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