Understanding Factors Influencing Generative AI Use Intention: A Bayesian Network-Based Probabilistic Structural Equation Model Approach

Electronics, Journal Year: 2025, Volume and Issue: 14(3), P. 530 - 530

Published: Jan. 28, 2025

This study investigates the factors influencing users’ intention to use generative AI by employing a Bayesian network-based probabilistic structural equation model approach. Recognizing limitations of traditional models like technology acceptance and unified theory technology, this research incorporates novel constructs such as perceived anthropomorphism animacy capture unique human-like qualities AI. Data were collected from 803 participants with prior experience using applications. The analysis reveals that social influence (standardized total effect = 0.550) is most significant predictor intention, followed effort expectancy (0.480) usefulness (0.454). Perceived (0.149) (0.145) also but lower relative impact. By utilizing model, overcomes linear models, allowing for exploration nonlinear relationships conditional dependencies. These findings provide actionable insights improving design, user engagement, adoption strategies.

Language: Английский

What (in)compatibilities between the local food shopping and digitalization of short food supply chains?

International Journal of Retail & Distribution Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 8, 2025

Purpose Producers develop new digital technologies and services to retail their local foods. However, while digitalization of short food supply chains (SFSCs) is praised by producers, what do shoppers think? “Technological optimism” does not explain why offered producers are sometimes ignored, quickly abandoned or the subject consumer resistance. Consequently, this research explores (1) perceived values shopping in SFSCs (2) benefits drawbacks regarding digitization SFSCs. Design/methodology/approach A qualitative study was conducted through semi-structured interviews with 31 consumers who utilized digitalized for shopping. The were fully recorded transcribed; before that, a thematic content analysis carried out using NVivo software. Findings Results show These categorized into four key dimensions: utilitarian, hedonic, civism social. Beyond developing an in-depth conceptualization shopping, also shed light on concerning producers. By confronting these positive negative elements, three paradoxes emerge: paradox virtual information, automated authenticity alienating freedom. Originality/value This proposes SFSCs, divided dimensions. Some dimensions oriented product itself (i.e. utilitarian dimension) others around experience social dimension). Finally, some simultaneously food-oriented shopping-oriented hedonic civic dimensions). Furthermore, takes critical look at “technological prevalent literature retailing. looking beyond elements presented literature, advances understanding (in)compatibilities between consumption

Language: Английский