Current Psychology, Journal Year: 2025, Volume and Issue: unknown
Published: April 16, 2025
Language: Английский
Current Psychology, Journal Year: 2025, Volume and Issue: unknown
Published: April 16, 2025
Language: Английский
Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 79, P. 103790 - 103790
Published: March 12, 2024
Recent studies have demonstrated the potential of generative artificial intelligence (GenAI) in enhancing marketing content. However, its impact on consumer behavior has remained empirically untested. In response to social media platforms mandating disclosure GenAI content, we investigate how followers perceive brands that use for content creation. Drawing from literature algorithm aversion and brand authenticity, results three experimental indicate brands' adoption induces negative attitudinal behavioral follower reactions. These effects are mediated by followers' perceptions authenticity can be triggered disclosure. Negative reactions attenuated if is used assist humans creation rather than replace them through automation. Our findings underscore need nuance unlock economic benefits without compromising relationships with consumers.
Language: Английский
Citations
39Journal of Business and Psychology, Journal Year: 2024, Volume and Issue: 39(6), P. 1395 - 1411
Published: May 29, 2024
Language: Английский
Citations
17Creativity Research Journal, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14
Published: May 30, 2024
Creativity has long been viewed as the bastion of human expression. With advent generative artificial intelligence (AI), there is an emerging notion creativity that contests traditional perspectives artistic exploration. This paper explores complex dynamics this evolution by examining how AI intertwines with and transforms art world. It presents a comprehensive analysis challenges posed in art, from questions authenticity intellectual property to ethical dilemmas impacts on conventional practices. Simultaneously, it investigates revolutionary opportunities offers, including democratization creation, expansion creative boundaries, development new collaborative economic models. The posits integration not just technological advancement but significant cultural shift, which necessitates reevaluation our understanding artist. concludes forward-looking perspective, advocating for approach harness potential technology enriching ensuring vibrant world era AI-driven generation.
Language: Английский
Citations
14Academy of Management Annals, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 8, 2025
Managing with artificial intelligence (AI) refers to humans' interaction algorithms performing managerial tasks in organizations. Two literatures exploring this interaction—human-AI collaboration (HAIC) and algorithmic management (AM)—have focused on distinct tasks: while HAIC examines executive decision-making, AM focuses control. This article presents a review of both identify opportunities for integration advancement. We observe that HAIC's AM's micro-level emphases different have resulted diverging conceptualizations context, agency, interaction, outcome. Adopting more encompassing systems lens, we unveil previously concealed linkages between AM, suggesting the two analyzed sides same phenomenon: explores how humans use AI manage, describes are managed by AI. develop an integrative framework elevates viewpoint from organizational individual collective local systemic multilevel outcomes. By employing framework, lay foundations perspective managing
Language: Английский
Citations
1Journal of Service Theory and Practice, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 18, 2025
Purpose Social robot anthropomorphism is widely recognized for performing crucial tasks in supporting the service industry and enhancing employee experience. This study elucidates how social anthropomorphic robots can influence psychological well-being of employees hotel industry. The further examines impact warmth, ownership technology readiness above relationship. Design/methodology/approach research utilized an online survey questionnaire data collection analysis. Data were collected from Indian ( N = 275). Structural equation modeling was applied to validate conceptual model. results using AMOS v25 SPSS PROCESS Macro. Findings empirically finds that positively impacts employees. Further, it substantiates despite low readiness, enhances through ownership. Additionally, anthropomorphizing emits which employees' Originality/value These empirical theory suggest a novel dimension interactions, significantly impacting well-being. A moderated mediation relationship established, confirms warmth as mediators moderator model grounded realism maximization theory.
Language: Английский
Citations
1Palgrave studies in creativity and culture, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 1, 2024
Paper in this product is recyclable.This book a testament to the power of collaboration, drawing on expertise international and multidisciplinary researchers.The diverse backgrounds experiences displayed reflect our concerted effort bring much needed context existing research around AI education.The editors would like acknowledge contributions all participating authors extend sincere gratitude for entrusting us with their work.We also thank learners whose voices viewpoints we have strived highlight amplify.Finally, thanks universities, groups, companies educational institutions which are affiliated, whom been instrumental realisation project.
Language: Английский
Citations
5Published: Jan. 1, 2025
Language: Английский
Citations
0Journal of Cultural Economics, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 17, 2025
Language: Английский
Citations
0Journal of Business Research, Journal Year: 2025, Volume and Issue: 191, P. 115276 - 115276
Published: March 1, 2025
Language: Английский
Citations
0Applied Sciences, Journal Year: 2025, Volume and Issue: 15(6), P. 2971 - 2971
Published: March 10, 2025
The evaluation of creative writing has long been a complex and subjective process, made even more intriguing by the rise advanced Artificial Intelligence (AI) tools like Large Language Models (LLMs). This study evaluates potential LLMs as reliable consistent evaluators texts, directly comparing their performance with traditional human evaluations. analysis focuses on key criteria, including fluency, flexibility, elaboration, originality, usefulness, specific creativity strategies. Results demonstrate that provide objective evaluations, achieving higher Inter-Annotator Agreement (IAA) compared evaluators. However, face limitations in recognizing nuanced, culturally specific, context-dependent aspects creativity. Conversely, evaluators, despite lower consistency subjectivity, exhibit strengths capturing deeper contextual insights. These findings highlight need for further refinement to address complexities evaluation.
Language: Английский
Citations
0