Do you create your content yourself? Using generative artificial intelligence for social media content creation diminishes perceived brand authenticity

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 79, С. 103790 - 103790

Опубликована: Март 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.

Язык: Английский

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The Paradox of Artificial Creativity: Challenges and Opportunities of Generative AI Artistry

Creativity Research Journal, Год журнала: 2024, Номер unknown, С. 1 - 14

Опубликована: Май 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.

Язык: Английский

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The Buffering Role of Workplace Mindfulness: How Job Insecurity of Human-Artificial Intelligence Collaboration Impacts Employees’ Work–Life-Related Outcomes

Journal of Business and Psychology, Год журнала: 2024, Номер 39(6), С. 1395 - 1411

Опубликована: Май 29, 2024

Язык: Английский

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Does technology readiness matter? Investigating employee psychological well-being through the lens of social robot anthropomorphism

Journal of Service Theory and Practice, Год журнала: 2025, Номер unknown

Опубликована: Янв. 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.

Язык: Английский

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Managing with Artificial Intelligence: An Integrative Framework

Academy of Management Annals, Год журнала: 2025, Номер unknown

Опубликована: Янв. 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

Язык: Английский

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Creative Applications of Artificial Intelligence in Education

Palgrave studies in creativity and culture, Год журнала: 2024, Номер unknown

Опубликована: Янв. 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.

Язык: Английский

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Using generative artificial intelligence (GenAI) in marketing: Development and practices

Journal of Business Research, Год журнала: 2025, Номер 191, С. 115276 - 115276

Опубликована: Март 1, 2025

Язык: Английский

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Integrating artificial intelligence and human resource management: a review and future research agenda

The International Journal of Human Resource Management, Год журнала: 2024, Номер unknown, С. 1 - 39

Опубликована: Дек. 27, 2024

The integration of artificial intelligence (AI) into human resource management (HRM) represents a rapidly evolving area practice and research. This review aims to identify nascent AI research trends within HRM capture the value potential technology. We outline developmental trajectory in discuss implications theories on organizations. Based co-word network analysis, study identifies four pathways published articles related HRM: AI-enhanced collaboration, AI-driven workplace, AI-enabled business models, AI-powered innovation. Finally, we highlight promising avenues for future across intersecting domains advance understanding this era.

Язык: Английский

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Human bias in evaluating AI product creativity

Journal of Creativity, Год журнала: 2024, Номер 34(2), С. 100087 - 100087

Опубликована: Апрель 2, 2024

This study investigated the evaluation behavior of products generated by artificial intelligence (AI) manipulating creativity rating stimuli according to their high and low novelty usefulness. In addition, we analyzed effect perception generative AI on ratings. We found a bias toward lower ratings only for highly useful when they were identified as AI-generated, this was particularly strong individuals with greater perceived threat from AI. Our research highlights importance product attribute quality producer identity in ratings, provides implications integration into creative industries.

Язык: Английский

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All Just in Your Head? Unraveling the Side Effects of Generative AI Disclosure in Creative Task

SSRN Electronic Journal, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

As using generative artificial intelligence (GenAI) becomes more common in creative work, the disclosure of GenAI involvement to recipients created artifacts is often advocated address social, legal, and ethical concerns. However, there emerging evidence that disclosing work adversely affects recipients' perceptions artifacts. This study explores whether these changing actually result from two distinct effects: beliefs about creativity quality artifact (first-order effects), actual changes human-GenAI collaboration workers production process (second-order effects). We disentangle effects through a two-stage mixed-method study. The first stage involves qualitative field with graduate design students creating images tools under varying conditions. second consists quantitative online experiment which evaluate images. find perception altered by because believe less human effort was invested process, increasingly delegate divergent thinking tasks GenAI, resulting noticeable differences image appearance. Thus, our results indicate due are not only product minds but also stem artifact. Our contributes discussion on human-AI revealing how transparency requirements might unexpectedly change workers' use GenAI. Furthermore, we identify efforts processes as key factor emergence algorithm aversion domains. From practical perspective, can help navigate challenges posed forthcoming AI regulations policymakers consider unwanted downstream consequences their regulation.

Язык: Английский

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