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Examining the impact of big five personality traits on generation Z designers’ subscription to paid AI drawing tools using SEM and FsQCA
by
Hu, Liling
, Chen, Maowei
, Ding, Ning
in
631/477/2811
/ 639/705/794
/ Adult
/ AI drawing tools
/ Artificial Intelligence
/ Big five personality
/ Comparative analysis
/ Complexity theory
/ Designers
/ Female
/ Generation Z
/ Generation Z designers
/ Humanities and Social Sciences
/ Humans
/ Latent Class Analysis
/ Male
/ Middle Aged
/ multidisciplinary
/ Neurosis
/ Personality
/ Personality traits
/ Science
/ Science (multidisciplinary)
/ TAM
/ Technology Acceptance Model
/ Willingness to pay for subscriptions
/ Young Adult
2025
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Examining the impact of big five personality traits on generation Z designers’ subscription to paid AI drawing tools using SEM and FsQCA
by
Hu, Liling
, Chen, Maowei
, Ding, Ning
in
631/477/2811
/ 639/705/794
/ Adult
/ AI drawing tools
/ Artificial Intelligence
/ Big five personality
/ Comparative analysis
/ Complexity theory
/ Designers
/ Female
/ Generation Z
/ Generation Z designers
/ Humanities and Social Sciences
/ Humans
/ Latent Class Analysis
/ Male
/ Middle Aged
/ multidisciplinary
/ Neurosis
/ Personality
/ Personality traits
/ Science
/ Science (multidisciplinary)
/ TAM
/ Technology Acceptance Model
/ Willingness to pay for subscriptions
/ Young Adult
2025
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Do you wish to request the book?
Examining the impact of big five personality traits on generation Z designers’ subscription to paid AI drawing tools using SEM and FsQCA
by
Hu, Liling
, Chen, Maowei
, Ding, Ning
in
631/477/2811
/ 639/705/794
/ Adult
/ AI drawing tools
/ Artificial Intelligence
/ Big five personality
/ Comparative analysis
/ Complexity theory
/ Designers
/ Female
/ Generation Z
/ Generation Z designers
/ Humanities and Social Sciences
/ Humans
/ Latent Class Analysis
/ Male
/ Middle Aged
/ multidisciplinary
/ Neurosis
/ Personality
/ Personality traits
/ Science
/ Science (multidisciplinary)
/ TAM
/ Technology Acceptance Model
/ Willingness to pay for subscriptions
/ Young Adult
2025
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Examining the impact of big five personality traits on generation Z designers’ subscription to paid AI drawing tools using SEM and FsQCA
Journal Article
Examining the impact of big five personality traits on generation Z designers’ subscription to paid AI drawing tools using SEM and FsQCA
2025
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Overview
With the rapid advancement of artificial intelligence (AI) technologies, AI has evolved from an exploratory technology into a critical component of the design process. This study develops an extended model utilizing the Big Five Personality (BFP) framework, the Technology Acceptance Model (TAM), and Perceived Risk Theory (PRT) to examine the influence of BFP traits on Generation Z designers’ willingness to subscribe to paid AI drawing tools. Structural equation modeling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) were employed to analyze data from 477 valid responses. The SEM results demonstrate that Openness (OPE) and Extraversion (EXT) positively affect Perceived Ease of Use (PEU) and Willingness to Pay for Subscription (WPS), while negatively influencing Perceived Risk (PR). EXT and Agreeableness (AGR) enhance Perceived Usefulness (PU). Neuroticism (NEU) adversely affects PU, PEU, and WPS but enhances PR. Moreover, WPS is positively affected by PEU and PU, yet negatively by PR, with PEU, PU, and PR acting as mediators in certain paths. The fsQCA findings exhibit the complex interplay of BFP traits, revealing four configurations that influence WPS among Generation Z designers, distinctly contrasting with the SEM results. This research systematically explores for the first time the impact of personality traits on technology acceptance behaviors among Generation Z designers, contributing theoretical developments and fresh insights into personality psychology and technology acceptance studies. It also offers practical implications for technology development, marketing, education, and human resource management.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
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