Enhancing Financial Advisory Services with GenAI: Consumer Perceptions and Attitudes through Service-Dominant Logic and Artificial Intelligence Device Use Acceptance Perspectives DOI Open Access

Qin Yang,

Young‐Chan Lee

Journal of risk and financial management, Journal Year: 2024, Volume and Issue: 17(10), P. 470 - 470

Published: Oct. 17, 2024

Financial institutions are currently undergoing a significant shift from traditional robo-advisors to more advanced generative artificial intelligence (GenAI) technologies. This transformation has motivated us investigate the factors influencing consumer responses GenAI-driven financial advice. Despite extensive research on adoption of robo-advisors, there is gap in our understanding specific contributors to, and differences in, attitudes reactions GenAI-based guidance. study aims address this by analyzing impact personalized investment suggestions, human-like empathy, continuous improvement GenAI-provided advice its authenticity as perceived consumers, their utilitarian attitude toward use GenAI for advice, GenAI-generated suggestions. A comprehensive model was developed based service-dominant logic (SDL) Artificial Intelligence Device Use Acceptance (AIDUA) frameworks. The subsequently employed structural equation modeling (SEM) analysis survey data 822 mobile banking users. findings indicate that GenAI’s recommendations positively influence consumers’ perception authenticity. Moreover, we discovered positive correlation between authenticity, which ultimately influences advisory solutions. manifested either willingness engage or resistance communication. contributes GenAI-powered services underscores significance integrating guidance into routine operations institutions. Our work builds upon previous offering practical insights seeking leverage technologies enhance customer experiences.

Language: Английский

Unlocking the Potential of Artificial Intelligence in Fashion Design and E-Commerce Applications: The Case of Midjourney DOI Creative Commons
Yanbo Zhang, Chuanlan Liu

Journal of theoretical and applied electronic commerce research, Journal Year: 2024, Volume and Issue: 19(1), P. 654 - 670

Published: March 18, 2024

The fashion industry has shown increasing interest in applying artificial intelligence (AI), yet there is a significant gap exploring the potential of emerging diffusion-modeling-based AI image-generation systems for design and commerce. Therefore, this study aims to assess effectiveness Midjourney, one such system, both related commerce applications. We employed action research approach with Functional, Expressive, Aesthetic (FEA) Consumer Needs Model as theoretical framework. Our comprised three stages: refining an initial idea into well-defined textual concepts, facilitating concept development, validating preceding observations reflections by creating new line hemp-based products that were evaluated targeted consumers through online survey. Findings reveal tool can assist designers visually expressive attire ready-to-wear products, meeting defined criteria consumer needs. Midjourney shows promise streamlining process enhancing ideation optimizing details. Potential e-commercial applications proposed, benefiting physical digital businesses. It noted that, date, major limitations using encompass its restriction only early stages necessitating substantial involvement from designers.

Language: Английский

Citations

22
Can we build a relationship through artificial intelligence (AI)? Understanding the impact of AI on organization-public relationships DOI
Jeyoung Oh, Eyun‐Jung Ki

Public Relations Review, Journal Year: 2024, Volume and Issue: 50(4), P. 102469 - 102469

Published: May 29, 2024

Language: Английский

Citations

10
Service ads in the era of generative AI: Disclosures, trust, and intangibility DOI
Jamie L. Grigsby,

Meg Michelsen,

César Zamudio

et al.

Journal of Retailing and Consumer Services, Journal Year: 2025, Volume and Issue: 84, P. 104231 - 104231

Published: Jan. 16, 2025

Language: Английский

Citations

2
Anthropomorphic generative AI chatbots for enhancing customer engagement, experience and recommendation DOI
Aman Kumar, Amit Shankar, Abhishek Behl

et al.

Journal of Consumer Marketing, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 31, 2025

Purpose This research focuses on developing and testing a conceptual model that explores customer behavioural responses (engagement, experience recommendation) towards generative artificial intelligence (AI)-enabled chatbots. It highlights the significant influence of anthropomorphic characteristics in enhancing perceptions competence warmth, further perceived authenticity. In addition, this study aims to investigate how need for social interactions moderates these relationships. Design/methodology/approach used self-administered questionnaire distributed Prolific Academic gather data from 282 eligible participants worldwide. uses structural equation modelling approach answer questions. Findings The findings reveal AI-enabled chatbots are positively associated with competence. Moreover, show warmth significantly Furthermore, results highlight authenticity is engagement, recommendation. Finally, illustrate impact moderated by interaction. Originality/value enriches AI literature guides organizations understanding consumer leveraging contributes response theory as investigates user intentions influenced their level characteristics.

Language: Английский

Citations

2
Will human designers be replaced? Exploring consumer responses to AI involvement in interior design DOI

Lan Hai,

Xiaofei Tang,

Ming Fu

et al.

Current Psychology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 25, 2025

Language: Английский

Citations

1
AI-thenticity: Exploring the effect of perceived authenticity of AI-generated visual content on tourist patronage intentions DOI
Hien Thu Bui, Viachaslau Filimonau, Hakan Sezerel

et al.

Journal of Destination Marketing & Management, Journal Year: 2024, Volume and Issue: 34, P. 100956 - 100956

Published: Oct. 28, 2024

Language: Английский

Citations

4
Enhancing Soft Skills through Generative AI in Sustainable Fashion Textile Design Education DOI Open Access
Dawool Jung, Sungeun Suh

Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 6973 - 6973

Published: Aug. 14, 2024

This study explores the significance of incorporating soft skill training in fashion design education through use artificial intelligence (AI) technology and examines various AI-based approaches for sustainable textile employing a multifaceted methodology that encompasses empirical, quantitative, qualitative methods. We investigate aspects Design Sprints, identify key skills help students meet complex demands contemporary workplaces, propose curriculum guide AI programs, evaluate process. Participants included who had completed basic courses over three to four semesters experience with The findings confirmed participants’ improved across areas—digital competence, sense initiative entrepreneurship, problem-solving thinking skills, communication—through curriculum. validates importance integrating into educational programs enhance essential digital industry environment. Additionally, it emphasizes necessity developing technology-specialized prompts while maintaining balance between traditional education.

Language: Английский

Citations

3
Against the Green Schema: How Gen‐AI Negatively Impacts Green Influencer Posts DOI
Priya Narayanan

Psychology and Marketing, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 26, 2024

ABSTRACT The current research examines the impact of using AI‐generated images (vs. real photographs) in social media posts green influencers, by relying on schema congruity theory. Three experimental studies show that compared to photographs, use are less likely receive favorable consumer responses. This effect arises from incongruity between gen‐AI and activated post, which causes a) lower perceived appropriateness a image context, leading b) authenticity post. In attempting counter this negative AI, reason for is ineffective but generated purpose‐built AI aligns with cause fully mitigates observed issue. By identifying explaining specific work extends influencers general marketing. Findings encourage sustainable brands cautiously.

Language: Английский

Citations

3
RAISE: A New Method to Develop Experimental Stimuli for Advertising Research with Image Generative Artificial Intelligence DOI
César Zamudio, Jamie L. Grigsby,

Meg Michelsen

et al.

Journal of Advertising, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: Jan. 7, 2025

Advertising research widely uses visual stimuli. Stimuli development, whether by researchers or hired designers, requires considerable time, funding, and know-how. Image generative artificial intelligence (iGenAI) allows faster more cost-effective stimuli production, but this technology can produce rigorous experimental comparable to researcher-generated remains an open question addressed herein. First, we review publications in three advertising marketing journals identify relevant domains where iGenAI be applied. Second, present RAISE (Rapid Artificial Intelligence for Experiments), a new methodology generate AI stimuli, which no programming relies on commercially available tools, increasing accessibility researchers. Five studies (1,785 participants) directly compare generated using show that participants cannot differentiate them. Moreover, AI-generated satisfy the same manipulation checks replicate effects of existing research. Three additional (N = 368) lend robustness, indicating are valuable tools complement traditional methods producing

Language: Английский

Citations

0
AI Aversion in Fashion Design: Reasons and Boundary Conditions DOI Creative Commons
Wenna Han, Yingjiao Xu

Published: Jan. 15, 2025

By algorithmically generating and refining design alternatives based on human prompts, AI offers unprecedented efficiencies unlocks creative possibilities. While its transformative potential in the fashion industry is widely recognized, consumer responses toward AI-designed products remain insufficiently understood. This study investigates these responses, focusing their underlying drivers boundary conditions. A 2 (design source: vs. human) × complexity: high low) (brand type: luxury non-luxury) between-subjects experimental survey was conducted with 400 U.S. consumers via Prolific. Results indicate negative attitudes design, attributed to perceptions of lower effort compared design. However, for non-luxury brands, complexity mitigates aversion, while even complex designs face evaluations. These findings underscore need brands strategically align brand positioning minimize resistance technologies.

Language: Английский

Citations

0