Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products

•This study compared technology acceptance theories in terms of AI-based intelligent products.•VAM performed best in modeling for understanding the acceptance of AI-based intelligent products.•Enjoyment is a crucial factor in terms of AI-based intelligent products, unlike other products.•First appli...

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Vydáno v:	Telematics and informatics Ročník 47; s. 101324
Hlavní autoři:	Sohn, Kwonsang, Kwon, Ohbyung
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Elsevier Ltd 01.04.2020 Elsevier Science Ltd
Témata:	Acceptance Adoption of innovations AI-based intelligent products Artificial intelligence Comparative analysis Comparative studies Decomposition analysis Food packaging Modelling Norms Purchase intention Respondents Subjectivity Subscribers Technology Technology Acceptance Model Technology acceptance theory Technology adoption Technology utilization Theory Theory of planned behavior AI-based intelligent products Technology adoption Technology acceptance theory Purchase intention Decomposition analysis
ISSN:	0736-5853, 1879-324X
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Abstract	•This study compared technology acceptance theories in terms of AI-based intelligent products.•VAM performed best in modeling for understanding the acceptance of AI-based intelligent products.•Enjoyment is a crucial factor in terms of AI-based intelligent products, unlike other products.•First applied decomposition analysis in IS research for quantifying the influence among factors.•Users considered the characteristics of combined products rather than the AI technology itself. The rapid growth of artificial intelligence (AI) technology has prompted the development of AI-based intelligent products. Accordingly, various technology acceptance theories have been used to explain acceptance of these products. This comparative study determines which models best explain consumer acceptance of AI-based intelligent products and which factors have the greatest impact in terms of purchase intention. We assessed the utility of the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Value-based Adoption Model (VAM) using data collected from a survey sample of 378 respondents, modeling user acceptance in terms of behavioral intention to use AI-based intelligent products. In addition, we employed decomposition analysis to compare each factor included in these models in terms of influence on purchase intention. We found that the VAM performed best in modeling user acceptance. Among the various factors, enjoyment was found to influence user purchase intention the most, followed by subjective norms. The findings of this study confirm that acceptance of highly innovative products with minimal practical value, such as AI-based intelligent products, is more influenced by interest in technology than in utilitarian aspects.
AbstractList	The rapid growth of artificial intelligence (AI) technology has prompted the development of AI-based intelligent products. Accordingly, various technology acceptance theories have been used to explain acceptance of these products. This comparative study determines which models best explain consumer acceptance of AI-based intelligent products and which factors have the greatest impact in terms of purchase intention. We assessed the utility of the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Value-based Adoption Model (VAM) using data collected from a survey sample of 378 respondents, modeling user acceptance in terms of behavioral intention to use AI-based intelligent products. In addition, we employed decomposition analysis to compare each factor included in these models in terms of influence on purchase intention. We found that the VAM performed best in modeling user acceptance. Among the various factors, enjoyment was found to influence user purchase intention the most, followed by subjective norms. The findings of this study confirm that acceptance of highly innovative products with minimal practical value, such as AI-based intelligent products, is more influenced by interest in technology than in utilitarian aspects. •This study compared technology acceptance theories in terms of AI-based intelligent products.•VAM performed best in modeling for understanding the acceptance of AI-based intelligent products.•Enjoyment is a crucial factor in terms of AI-based intelligent products, unlike other products.•First applied decomposition analysis in IS research for quantifying the influence among factors.•Users considered the characteristics of combined products rather than the AI technology itself. The rapid growth of artificial intelligence (AI) technology has prompted the development of AI-based intelligent products. Accordingly, various technology acceptance theories have been used to explain acceptance of these products. This comparative study determines which models best explain consumer acceptance of AI-based intelligent products and which factors have the greatest impact in terms of purchase intention. We assessed the utility of the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the Value-based Adoption Model (VAM) using data collected from a survey sample of 378 respondents, modeling user acceptance in terms of behavioral intention to use AI-based intelligent products. In addition, we employed decomposition analysis to compare each factor included in these models in terms of influence on purchase intention. We found that the VAM performed best in modeling user acceptance. Among the various factors, enjoyment was found to influence user purchase intention the most, followed by subjective norms. The findings of this study confirm that acceptance of highly innovative products with minimal practical value, such as AI-based intelligent products, is more influenced by interest in technology than in utilitarian aspects.
ArticleNumber	101324
Author	Sohn, Kwonsang Kwon, Ohbyung
Author_xml	– sequence: 1 givenname: Kwonsang surname: Sohn fullname: Sohn, Kwonsang email: miroo1215@khu.ac.kr – sequence: 2 givenname: Ohbyung surname: Kwon fullname: Kwon, Ohbyung email: obkwon@khu.ac.kr
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Copyright	2019 Elsevier Ltd Copyright Elsevier Science Ltd. Apr 2020
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Snippet	•This study compared technology acceptance theories in terms of AI-based intelligent products.•VAM performed best in modeling for understanding the acceptance... The rapid growth of artificial intelligence (AI) technology has prompted the development of AI-based intelligent products. Accordingly, various technology...
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SubjectTerms	Acceptance Adoption of innovations AI-based intelligent products Artificial intelligence Comparative analysis Comparative studies Decomposition analysis Food packaging Modelling Norms Purchase intention Respondents Subjectivity Subscribers Technology Technology Acceptance Model Technology acceptance theory Technology adoption Technology utilization Theory Theory of planned behavior
Title	Technology acceptance theories and factors influencing artificial Intelligence-based intelligent products
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