European Research on Management and Business Economics · 2023 · 44 citations · 71 references
ManagementComputer ScienceSocial PsychologyArtificial IntelligenceInnovationSocial InfluenceArtificial Intelligence AdoptionInnovation AdoptionProduct InnovationTechnological InnovationTechnology AdoptionChatbot AdoptionConsumer Technology AdoptionDemographic Effects On AcceptanceEconomic ConditionsMultidimensional ScalingRobot AcceptanceUser AcceptanceUser Innovation Adoption
Are consumers accepting AI-based products? What are the socio-demographics influencing the adoption of these products? This study tests the potential users’ social-demographic characteristics that influence the relationship between innovation and AI-based products. The latter are robots (e.g. chatbots) and AI (e.g. recommendation systems, amongst others). A mixed methods approach is adopted using both qualitative and quantitative analysis with non-metrical multidimensional scaling (NMDS) to map opinions about digitally-intensive products, such as robots and AI, and the attitude towards innovation. The research uses data on the general population from the Spanish innovation barometer survey (N = 3,005). Findings show that individuals who have a negative attitude towards innovation have a negative opinion about robots and AI. As regards social-demographic dimensions, age and economic conditions moderate this effect, causing a more positive opinion towards digitally-intensive products amongst young people and individuals with a higher socio-economic level. These effects are increased by the moderating role of sex.
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User Acceptance of Information Technology: Toward A Unified View1
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