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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University of Oradea
2024-12-01
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Series: | Annals of the University of Oradea: Economic Science |
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Online Access: | https://anale.steconomiceuoradea.ro/en/wp-content/uploads/2025/01/AUOES.December.2024.30.pdf |
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author | Kata HORVATH |
author_facet | Kata HORVATH |
author_sort | Kata HORVATH |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-caac0f6b99414fb48229a79a57b0abe8 |
institution | Kabale University |
issn | 1222-569X 1582-5450 |
language | deu |
publishDate | 2024-12-01 |
publisher | University of Oradea |
record_format | Article |
series | Annals of the University of Oradea: Economic Science |
spelling | doaj-art-caac0f6b99414fb48229a79a57b0abe82025-01-23T13:47:46ZdeuUniversity of OradeaAnnals of the University of Oradea: Economic Science1222-569X1582-54502024-12-0133234235010.47535/1991AUOES33(2)030CONSUMER ATTITUDES TOWARD ARTIFICIAL INTELLIGENCE: A COMPARATIVE ANALYSIS OF MEASUREMENT SCALESKata HORVATH0Marketing and Tourism Institute, Faculty of Economics, University of Miskolc, Miskolc, HungaryThe 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. https://anale.steconomiceuoradea.ro/en/wp-content/uploads/2025/01/AUOES.December.2024.30.pdfartificial intelligenceattitudescale developmentconsumer behaviour |
spellingShingle | Kata HORVATH CONSUMER ATTITUDES TOWARD ARTIFICIAL INTELLIGENCE: A COMPARATIVE ANALYSIS OF MEASUREMENT SCALES Annals of the University of Oradea: Economic Science artificial intelligence attitude scale development consumer behaviour |
title | CONSUMER ATTITUDES TOWARD ARTIFICIAL INTELLIGENCE: A COMPARATIVE ANALYSIS OF MEASUREMENT SCALES |
title_full | CONSUMER ATTITUDES TOWARD ARTIFICIAL INTELLIGENCE: A COMPARATIVE ANALYSIS OF MEASUREMENT SCALES |
title_fullStr | CONSUMER ATTITUDES TOWARD ARTIFICIAL INTELLIGENCE: A COMPARATIVE ANALYSIS OF MEASUREMENT SCALES |
title_full_unstemmed | CONSUMER ATTITUDES TOWARD ARTIFICIAL INTELLIGENCE: A COMPARATIVE ANALYSIS OF MEASUREMENT SCALES |
title_short | CONSUMER ATTITUDES TOWARD ARTIFICIAL INTELLIGENCE: A COMPARATIVE ANALYSIS OF MEASUREMENT SCALES |
title_sort | consumer attitudes toward artificial intelligence a comparative analysis of measurement scales |
topic | artificial intelligence attitude scale development consumer behaviour |
url | https://anale.steconomiceuoradea.ro/en/wp-content/uploads/2025/01/AUOES.December.2024.30.pdf |
work_keys_str_mv | AT katahorvath consumerattitudestowardartificialintelligenceacomparativeanalysisofmeasurementscales |