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From browsing to buying: unpacking the impact of AI on E-commerce shoppers’ well-being

Gonçalo Sá et al.

Internet Research2026https://doi.org/10.1108/intr-05-2024-0818article
AJG 3ABDC A
Weight
0.50

Abstract

Purpose The purpose of this study is to understand the determinants of e-commerce shoppers’ well-being. Well-being refers to how positively online consumers experience and are affected by their interactions with digital shopping platforms. Studying how customers perceive their well-being when interacting with artificial intelligence (AI)-powered e-commerce websites is crucial, as it highlights a paradigm shift from traditional online shopping, focused mainly on convenience and speed, toward AI-driven experiences. In this new paradigm, AI actively shapes personalized recommendations, higher usefulness perception and higher responsiveness, confirming user expectations. Design/methodology/approach This study adapts the expectation-confirmation model (ECM), analyzing the role of perceived responsiveness, perceived personalization and perceived information quality in e-commerce shoppers’ well-being. Data were collected from 591 respondents across Portugal and Brazil and analyzed using partial least squares structural equation modeling (PLS-SEM) with multi-group comparison. Findings The findings suggest that perceived responsiveness and personalization significantly influence confirmation. Additionally, perceived usefulness relies primarily on confirmation mediating its relationship with well-being, while perceived information quality moderates the direct impact of confirmation on well-being. Notably, personalization’s impact in Portugal exceeds that of responsiveness, while it is the opposite in Brazil. Originality/value The value of this study lies first in its unique context. To the best of our knowledge, it is the first to assess customers’ well-being in AI-powered e-commerce platforms. Second, the multi-group analysis provides new and unique insights into the differences between Portugal and Brazil. Third, the study challenges ECM’s elasticity with original model adjustments. Finally, it explores the significance of perceived responsiveness, personalization and quality on e-commerce customer well-being.

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https://doi.org/https://doi.org/10.1108/intr-05-2024-0818

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@article{gonçalo2026,
  title        = {{From browsing to buying: unpacking the impact of AI on E-commerce shoppers’ well-being}},
  author       = {Gonçalo Sá et al.},
  journal      = {Internet Research},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1108/intr-05-2024-0818},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.