Aug 2026· Asia Pacific Journal of Marketing and Logistics· 0 citations· 44 references
TL;DR
Results show that the informativeness and novelty of GAI outputs significantly and positively predict designers’ co-creation intentions, and actionable guidance for GAI application in design practice is provided.
Abstract
With the rapid penetration of generative AI (GAI) in product design, designer-GAI value co-creation has emerged as a transformative new paradigm. However, the drivers and inhibitors of professional designers’ intentions to engage in GAI value co-creation remain under-explored, especially from the designer-centric perspective. Grounded in parasocial interaction theory (PSI), this study aims to examine how heterogeneous human–AI interaction modes (enhanced vs. impeded) affect designers’ co-creation intentions.
This study examines the hypotheses using survey data from 305 professional designers analyzed via partial least squares structural equation modeling.
Results show that the informativeness and novelty of GAI outputs significantly and positively predict designers’ co-creation intentions. Enhanced human–AI interaction positively promotes both informativeness and novelty, with AI transparency positively moderating these effects. Impeded human–AI interaction only negatively affects informativeness, with no significant effect on novelty, and AI transparency shows no moderating effect here.
This study extends human–AI interaction research and provides actionable guidance for GAI application in design practice.
As AIGC becomes increasingly embedded in design practice, the relationship between designers and AI is shifting from tool use toward sustained creative collaboration. Drawing on socio-technical systems theory, affordance theory, and self-efficacy theory, this study examines how five perceived AI tool features—Customiza...
It is suggested that agent-enacted constructive conflict can turn reconsideration into concrete design actions and deepen engagement with divergent stakeholder perspectives.
Artificial Intelligence Generated Content (AIGC) is increasingly used in creative design. Understanding fashion designers’ willingness to adopt these tools has therefore become important for both research and practice. Drawing on the Stimulus–Organism–Response (SOR) model, this study integrates Self-Determination Theor...
This study aims to explore how the formation of artificial intelligence (AI) identity impacts employees' creative deviance. Drawing on role theory and the cognitive-affective system theory, it analyzes the pathways and boundary conditions of this influence in the AI-integrated workplace.
Using a multi-wave r...
Xinrui Xu, Chang-Bin Wang, Chao Liu et al.· Journal of Managerial Psycho...· 0 citations
This paper aims to advance understanding of value co-creation and value co-destruction in artificial intelligence (AI)-enabled services by introducing the Refined Interaction Value Framework (R-IVF). The R-IVF explains how interaction value depends not only on technical performance, but also on how users interpret...
E. Wang, Pierre R. Berthon, Joby John· Journal of Services Marketin...· 0 citations
Introduction Grounded in the stimulus–organism–response (S-O-R) theory and flow theory, this study investigates the pathways through which five dimensions of artificial intelligence (AI) video content characteristics—generation quality, emotional resonance, visual novelty, interaction, and narrative coherence—influence...
Min Hou, Jia-Yi Zhang, Meng-Yi Liu et al.· Frontiers in Psychology· 0 citations
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