CONSUMER ATTITUDES TOWARD ARTIFICIAL INTELLIGENCE: A COMPARATIVE ANALYSIS OF MEASUREMENT SCALES
The economic significance of artificial intelligence (AI) is rapidly increasing, influencing industries, employment, and consumer behaviour all around the globe. As AI applications become increasingly apparent and tangible in our daily lives, understanding consumer attitudes toward AI has become...
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| Format: | Article |
| Language: | deu |
| Published: |
University of Oradea
2024-12-01
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| Series: | Annals of the University of Oradea: Economic Science |
| Subjects: | |
| Online Access: | https://anale.steconomiceuoradea.ro/en/wp-content/uploads/2025/01/AUOES.December.2024.30.pdf |
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| Summary: | The economic significance of artificial intelligence (AI) is rapidly
increasing, influencing industries, employment, and consumer behaviour all around
the globe. As AI applications become increasingly apparent and tangible in our daily
lives, understanding consumer attitudes toward AI has become essential for
businesses and policymakers aiming to drive adoption and trust in such
technologies. This paper firstly explores the economic relevance of AI by highlighting
its impact on various fields and its role in driving economic growth. A critical aspect
of harnessing the full economic potential of AI lies in the accurate measurement of
consumer attitudes, as public perception influences the adoption of technology,
hence its final market success. Accurate insights into public attitudes are also key to
shaping policies that ensure ethical AI integration, fostering a balanced approach
between innovation and societal concerns. Beyond adoption, understanding
attitudes helps identify potential barriers which could hinder the widespread
acceptance of AI systems. This paper then proceeds to providing a critical overview
of the different scales developed for assessing consumer attitudes towards AI.
These scales have been established in varied contexts, from evaluating general
perceptions to measuring attitudes toward specific AI applications. The review
underscores the importance of ensuring adaptability and context-specific relevance
when selecting or designing these tools. Comparisons between scales reveal distinct
advantages and disadvantages in relation to reliability, robustness, contextual
limitations or scope. Finally, this paper aims to provide perspectives for selecting the
right AI attitude scale, emphasizing different methodological considerations. These
insights aim to guide researchers and practitioners in effectively measuring
consumer attitudes, contributing to more informed decisions in AI based innovative
processes. |
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| ISSN: | 1222-569X 1582-5450 |