Design and validation of the scale for the adoption of artificial intelligence in the online shopping experience of Peruvian consumers

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ID: 310058
2026
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Ranked #102 of 490 articles by views in Frontiers in surgery

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Abstract
Artificial intelligence has become a crucial tool for effective customer management; therefore, this research aims to design and validate a scale measuring the adoption of artificial intelligence in the customer experience. It is approached from a quantitative methodology perspective and an instrumental design. A survey was conducted among 528 customers who frequently make virtual purchases. Then, an exploratory analysis was conducted to determine the factor structure of the scale, followed by a confirmatory analysis to validate the construct. On the other hand, an invariance analysis was conducted to determine whether the construct varies across groups. The results show a multidimensional scale of 16 items grouped into 4 factors (trust in AI, perception of AI, knowledge of AI, shopping experience). Each factor consists of four items, using a Likert-type response scale where 1 indicates “totally disagree” and 5 indicates “totally agree”. In conclusion, the proposed scale is a valid measure. It can be used to continue exploring this concept in other latitudes, serving as a valuable tool for entrepreneurs to make an effective diagnosis of this new technology.
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imported_1768918521_696f8df9c03dc Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Díaz Saavedra, Robin Alexander Díaz
Journal Frontiers in surgery
Year 2026
DOI
10.3389/frai.2025.1712614
URL
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