000133459 001__ 133459
000133459 005__ 20240416133904.0
000133459 0247_ $$2doi$$a10.3390/info15040202
000133459 0248_ $$2sideral$$a138134
000133459 037__ $$aART-2024-138134
000133459 041__ $$aeng
000133459 100__ $$aCalahorra-Candao, Guillermo
000133459 245__ $$aFrom Typing to Talking: Unveiling AI’s Role in the Evolution of Voice Assistant Integration in Online Shopping
000133459 260__ $$c2024
000133459 5060_ $$aAccess copy available to the general public$$fUnrestricted
000133459 5203_ $$aThis study develops a theoretical framework integrating the Technology Acceptance Model (TAM) and Uses and Gratifications Theory (UGT) to predict and understand the acceptance of voice shopping intentions, particularly through AI-driven voice assistants. This research delves into the dual aspects of AI voice shopping platforms: the functional attributes outlined by the TAM and personal gratifications highlighted by the UGT, such as enjoyment, performance expectancy, and perceived safety. It uncovers a favorable user attitude towards voice shopping, emphasizing the significant role of performance expectancy and perceived utility on behavioral intentions. Key insights include the critical importance of security and privacy for user trust and the acceptance of new AI technologies, and the necessity of a balanced approach that merges functional, emotional, and security aspects for successful AI integration in daily technology use. Contrary to expectations, this study reveals a weak relationship between social norms and perceived usefulness, suggesting a misalignment with societal expectations. This research enriches the understanding of voice shopping using virtual assistants, offering valuable insights into consumer behavior and AI technology acceptance. It highlights practical implications for AI research, the development of voice-based software, and AI-driven advertising strategies, emphasizing the communication of benefits and emotional resonance in voice-enabled AI assistants for consumer purchases.
000133459 536__ $$9info:eu-repo/grantAgreement/ES/DGA-FSE/S54-GENERES Group$$9info:eu-repo/grantAgreement/ES/MICINN/PID2020-118425RB-I00
000133459 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000133459 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000133459 700__ $$0(orcid)0000-0002-8491-594X$$aMartín-de Hoyos, María José$$uUniversidad de Zaragoza
000133459 7102_ $$14011$$2095$$aUniversidad de Zaragoza$$bDpto. Direc.Mark.Inves.Mercad.$$cÁrea Comerci.Investig.Mercados
000133459 773__ $$g15, 4 (2024), 202 [18 pp.]$$pInformation (Basel)$$tInformation (Switzerland)$$x2078-2489
000133459 8564_ $$s1004146$$uhttps://zaguan.unizar.es/record/133459/files/texto_completo.pdf$$yVersión publicada
000133459 8564_ $$s2712887$$uhttps://zaguan.unizar.es/record/133459/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000133459 909CO $$ooai:zaguan.unizar.es:133459$$particulos$$pdriver
000133459 951__ $$a2024-04-16-13:15:54
000133459 980__ $$aARTICLE