Mariano Méndez-Suárez , Abel Monfort , Jose-Luis Hervas-Oliver
{"title":"你在采用人工智能产品吗?解释客户接受度的社会人口统计因素","authors":"Mariano Méndez-Suárez , Abel Monfort , Jose-Luis Hervas-Oliver","doi":"10.1016/j.iedeen.2023.100223","DOIUrl":null,"url":null,"abstract":"<div><p>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. <em>chatbots</em>) 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 (<em>N</em> = 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.</p></div>","PeriodicalId":45796,"journal":{"name":"European Research on Management and Business Economics","volume":"29 3","pages":"Article 100223"},"PeriodicalIF":7.1000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Are you adopting artificial intelligence products? Social-demographic factors to explain customer acceptance\",\"authors\":\"Mariano Méndez-Suárez , Abel Monfort , Jose-Luis Hervas-Oliver\",\"doi\":\"10.1016/j.iedeen.2023.100223\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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. <em>chatbots</em>) 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 (<em>N</em> = 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.</p></div>\",\"PeriodicalId\":45796,\"journal\":{\"name\":\"European Research on Management and Business Economics\",\"volume\":\"29 3\",\"pages\":\"Article 100223\"},\"PeriodicalIF\":7.1000,\"publicationDate\":\"2023-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Research on Management and Business Economics\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2444883423000104\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Research on Management and Business Economics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2444883423000104","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
Are you adopting artificial intelligence products? Social-demographic factors to explain customer acceptance
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.
期刊介绍:
European Research on Management and Business Economics (ERMBE) was born in 1995 as Investigaciones Europeas de Dirección y Economía de la Empresa (IEDEE). The journal is published by the European Academy of Management and Business Economics (AEDEM) under this new title since 2016, it was indexed in SCOPUS in 2012 and in Thomson Reuters Emerging Sources Citation Index in 2015. From the beginning, the aim of the Journal is to foster academic research by publishing original research articles that meet the highest analytical standards, and provide new insights that contribute and spread the business management knowledge