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 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. Keywords: artificial intelligence; personalisation; e-commerce; loyalty; purchase intention; repeat purchase intention.

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Publication Details

Journal
South African journal of information management
Published
2025-04-15
DOI
https://doi.org/10.4102/sajim.v27i1.1926
Citations
4
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
8.29
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article

The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sector

Kebashnee Moodley, Lavina Sookhdeo
4 citations
South African journal of information management
Consumer Retail Behavior Studies
8.29
article

The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sector

Kebashnee Moodley, Lavina Sookhdeo
article en
4 citations

Abstract

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. Keywords: artificial intelligence; personalisation; e-commerce; loyalty; purchase intention; repeat purchase intention.

South African journal of information managementVol. 27(1)
University of the Witwatersrand (ZA)
Openalex Percentile: Top 3%
Consumer Retail Behavior Studies
8.29
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The role of artificial intelligence personalisation in e-commerce: Customer purchase decisions in the retail sector — Kebashnee Moodley, Lavina Sookhdeo · South African journal of information management (2025) | TGRS Research Map | TGRS