The Relationship Between Artificial Intelligence and Consumer Decision Making in the Context of Personalized Cosmetic Products
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.9.10Keywords:
Artificial Intelligence, Consumer Decision-Making, Personalized Marketing, Cosmetic Industry, Digital Literacy, Consumer Trust, Consumer PreferencesDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Artificial intelligence, or AI, creates entirely new dimensions in combining consumer experiences via personal marketing instruments. This objective of the study is to explore the causal relationship between AI-based personalization and consumer behavior within the cosmetics sector. Further, the investigation looks into how AI acceptance and effectiveness in influencing purchase behaviour are dependent on factors such as digital literacy, demographic attributes, and trust. This study used a quantitative method with structured questionnaires, targeting women in Pune who have interacted with AI-based beauty applications. Data were analyzed on SPSS software by applying descriptive statistics, Cronbach’s Alpha for reliability, regression analysis, and ANOVA testing. The findings indicated a significant influence of AI personalization on consumer purchasing intent and trust. Digital literacy and ease of use were crucial for consumer engagement. Ethical and data privacy concerns were some of the barriers to hasty AI acceptance. The tendency of the cosmetic company to encourage and provide customer satisfaction and loyalty in a digital marketplace would be with transparency about ethical artificial intelligence use and user-centric personalization strategies.Abstract
How to Cite
Downloads
Similar Articles
- Ayalew Ali, Sitotaw Wodajo, Taye Teshoma, The link between corporate governance and earnings management of insurance companies in Ethiopia , The Scientific Temper: Vol. 16 No. 07 (2025): The Scientific Temper
- Temesgen Asfaw, Customer churn prediction using machine-learning techniques in the case of commercial bank of Ethiopia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Rupesh Mandal, Bobby Sharma, Dibyajyoti Chutia , Smart flood monitoring in Guwahati city: A LoRa-based AIoT and edge computing sensor framework , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Mohammedabrar H. Malek, Hydroxyl-terminated triazine dendrimers mediated pH-dependent solubility enhancement of glipizide across dendritic generations: A comparative investigation , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Manisha Anil Vhora, Vidya Bhandwalkar, Prashant Mangesh Rege, AI-driven HR analytics: Enhancing decision-making in workforce planning , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- S. Jerinrechal, I. Antonitte Vinoline, Sustainable Inventory Model for Temperature-Dependent Deteriorating Products under Condition Monitoring , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- S. Vanaja, Hari Ganesh S, Application of data mining and machine learning approaches in the prediction of heart disease – A literature survey , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Ashoke D. Maliki, Taiwo A. Muritala, Saji George, Frank A. Ogedengbe, Impact of project financiers’ strategies on de-risking infrastructural projects: A conceptual review , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Vipul Sundavadara, Riddhi SanghvI, Behavioral finance: A systematic literature review , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- S Selvakumari, M Durairaj, Performance Analysis of Deep Learning Optimizers for Arrhythmia Classification using PTB-XL ECG Dataset: Emphasis on Adam Optimizer , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
<< < 8 9 10 11 12 13 14 15 16 17 > >>
You may also start an advanced similarity search for this article.

