2023
DOI: 10.4018/joeuc.330019
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Factors Influencing the Behavioural Intention to Use AI-Generated Images in Business

Catalin Ioan Maican,
Silvia Sumedrea,
Alina Tecau
et al.

Abstract: Motivated by the need to better understand the ongoing role of artificial intelligence in businesses and to shift the focus from a purely technological and algorithmic perspective to one that encompasses human-computer interaction, this article aims to investigate people's intention to use AI for generating images in a business context. The present study employed structural equation modelling to analyse how factors from UTAUT2 such as perceived customer value, effort expectancy, social influence, and facilitat… Show more

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Cited by 10 publications
(3 citation statements)
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“…AI integration aims to achieve three major objectives: customization, anticipating client demands, and increasing pleasure through unique experiences [19]. It also aims to optimize operational procedures and revenue management and adapt service prices to reflect changes in the market [20]. The automation of routine tasks, such as reservation and inventory management, contributes to more efficient hotel operations [21].…”
Section: Theoretical Background and Hypothesismentioning
confidence: 99%
“…AI integration aims to achieve three major objectives: customization, anticipating client demands, and increasing pleasure through unique experiences [19]. It also aims to optimize operational procedures and revenue management and adapt service prices to reflect changes in the market [20]. The automation of routine tasks, such as reservation and inventory management, contributes to more efficient hotel operations [21].…”
Section: Theoretical Background and Hypothesismentioning
confidence: 99%
“…In recent years the number of studies exploring the application of AI in various fields has steadily increased. One such study is that of Maican et al (2023), which investigated the intention to use AI for generating images in a business context, a topic which includes questions of human-computer interaction. Li et al (2023) summarized the elements that impact consumers' confidence in AI chatbots, categorizing them as factors associated with AI chatbot interactions.…”
mentioning
confidence: 99%
“…Pixels within the same grayscale range are considered part of the same class, sharing inherent similarities. The edge-based segmentation method (Li et al, 2010;Khan et al, 2023;Maican et al, 2023) necessitates the identification of the edge starting point, followed by a search for and connection of surrounding edge points from the starting point based on a similarity criterion. The region-based segmentation method (Liu et al, 2020;Xu et al, 2022;Li et al, 2023) relies on the spatial information of the image, constructing the segmentation region based on the similarity features of pixels.…”
mentioning
confidence: 99%