Tourism Recreation Research, Год журнала: 2024, Номер unknown, С. 1 - 18
Опубликована: Сен. 5, 2024
Язык: Английский
Journal of theoretical and applied electronic commerce research, Год журнала: 2024, Номер 19(4), С. 2605 - 2629
Опубликована: Сен. 30, 2024
This study explores the impact of artificial intelligence (AI) tools on purchase intentions members Generation Z (Gen Z) in online shopping, using an adapted technology acceptance model (TAM). It incorporates exposure to AI, usage and knowledge about alongside existing TAM parameters perceived usefulness AI (PUAI) ease-of-use (PEUAI). A 38-item questionnaire was distributed, yielding data from 1128 Gen respondents. Partial least squares structural equation modeling (PLS-SEM) importance–performance analysis (IPA) were applied examine hypothesized relationships. The identified significant direct effects exposure, use, PUAI PEUAI, that these affected consumers’ intentions. Indirect revealed PEUAI mediate between knowledge, intentions, suggesting greater understanding familiarity with enhance propensity engage AI-powered transactions. ease integrating into daily life utility offers insights for retailers leveraging technologies effort consumer experiences, emphasizing potential positively influence choices while enhancing trust, familiarity, overall user experience.
Язык: Английский
Процитировано
2
SSRN Electronic Journal, Год журнала: 2024, Номер unknown
Опубликована: Янв. 1, 2024
This research paper investigates the key factors influencing AI acceptance, focusing on elements such as technological readiness, perceived usefulness, and ease of use, along with organizational societal impacts. It identifies significant obstacles to adoption, including ethical concerns, data privacy issues, potential for job displacement. The study also explores importance trust transparency in promoting highlighting necessity explainable (XAI) build user confidence. Strategies enhancing acceptance are examined, emphasizing need robust regulatory frameworks, ongoing education, skill development mitigate resistance boost engagement. stresses a user-centric approach system design implementation, taking into account end-user needs concerns. Additionally, it underscores value collaboration between industry, academia, policymakers fostering an environment conducive innovation acceptance. By offering thorough analysis affecting associated challenges, this provides valuable insights actionable strategies stakeholders aiming navigate complex landscape integration effectively.
Язык: Английский
Процитировано
1
Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 207 - 219
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
1
International Journal of Information and Learning Technology, Год журнала: 2024, Номер 41(5), С. 524 - 538
Опубликована: Авг. 24, 2024
Purpose The advent of ChatGPT has fundamentally changed the way people approach and access information. While we are encouraged to embrace tool for its various benefits, it is yet be known how drive adopt this technology, especially improve their life skills. Using implicit self-theories, current research delineated distinct incremental (vs entity) theorists use ChatGPT, which in turn influences attitude hence behavioural intention towards technology. Design/methodology/approach employed a between-subject experimental design with 100 prolific participants. manipulation materials were also pre-tested ( N = 50). No confound effects such as content clarity, personal interest, cognitive load found. For mediating effect, PROCESS Model 4 bootstraps 5,000 CI 95% employed. Findings Individuals who believed that human ability technological applications was malleable, i.e. theorists, more likely On other hand, when an fixed, entity theorist, they less new reason through belief, (more vs less) positively influenced motivated intention. Further, effect held beyond impact demographic factors age, gender, occupation, educational level. Originality/value Even though self-theories have received tremendous interest empirical support, generic or domain-specific, belief not clearly determined. helps extend into domain, case, usage ChatGPT. Moreover, full offers some thought about revised models technology acceptance. That is, perhaps combination (implicit) may better predictive power adoption behaviour.
Язык: Английский
Процитировано
1
Tourism Recreation Research, Год журнала: 2024, Номер unknown, С. 1 - 18
Опубликована: Сен. 5, 2024
Язык: Английский
Процитировано
1