AI-powered marketing: What, where, and how?

International Journal of Information Management, Journal Year: 2024, Volume and Issue: 77, P. 102783 - 102783

Published: April 9, 2024

Artificial intelligence (AI) has become a disruptive force that revolutionized industries and changed business practices. The integration of AI brought numerous benefits to various functional areas within organizations, with marketing experiencing significant positive impact. technologies have empowered marketers advanced tools insights, fostering unparalleled efficiency, personalization, strategic campaign decision-making. Despite these advancements, the scholarly focus on AI's transformative effects is limited. This research investigates how currently applied across different functions its potential future evolution impact processes. In rapidly evolving world, businesses must navigate complexity, innovate, sustain competitive advantages. Grounding our analysis in previous literature, we adopt dynamic capability theoretical lens, emphasizing organizations adapt prosper changing environments. study highlights six key where promises effects, aiming illuminate path for innovations strategies, including AI-driven customer measuring performance, automated ethical implications, enhancing experiences, growth opportunities Implementation. While recognizing as force, also highlight limitations, threats privacy security, well ramifications biases, misuse, dissemination misinformation. Finally, article delineates gaps formulates questions aimed at advancing knowledge marketing.

Language: Английский

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Artificial intelligence and consumer behavior: From predictive to generative AI

Journal of Business Research, Journal Year: 2024, Volume and Issue: 180, P. 114720 - 114720

Published: May 23, 2024

Language: Английский

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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, 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

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How does artificial intelligence affect the environmental performance of organizations? The role of green innovation and green culture

Information & Management, Journal Year: 2024, Volume and Issue: 61(2), P. 103924 - 103924

Published: Jan. 29, 2024

Language: Английский

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Integrating ethics in AI development: a qualitative study

BMC Medical Ethics, Journal Year: 2024, Volume and Issue: 25(1)

Published: Jan. 23, 2024

Abstract Background While the theoretical benefits and harms of Artificial Intelligence (AI) have been widely discussed in academic literature, empirical evidence remains elusive regarding practical ethical challenges developing AI for healthcare. Bridging gap between theory practice is an essential step understanding how to ethically align Therefore, this research examines concerns perceived by experts that addresses healthcare context needs. Methods We conducted semi-structured interviews with 41 analyzed data using reflective thematic analysis. Results developed three themes expressed considerations as ensuring aligns practices within The first theme explores significance introducing a clear purposeful objective. second focuses on are concerned about tension exists economic incentives importance prioritizing interests doctors patients. third illustrates need develop context-sensitive informed its underlying foundations. Conclusions collectively emphasized beyond being innovative, must genuinely benefit stakeholders, meaning also intricate context-specific practices. Our findings signal instead narrow product-specific guidance, development may systemic, proactive perspective includes (objectives, actors, context) applications. Ethically involves complex interplay AI, ethics, healthcare, multiple stakeholders.

Language: Английский

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Metaverse marketing: a review and future research agenda

Information Discovery and Delivery, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Purpose The metaverse represents a rapidly evolving digital environment that blurs the lines between physical and virtual reality, it offers unique opportunities challenges for businesses marketers. purpose of this study is to provide comprehensive review marketing research. present reviews literature on identify theories, contexts, gaps methodologies using TCCM framework (Theories, Contexts, Characteristics Methodology) set future research agenda. Design/methodology/approach A was conducted 179 English papers related from 2010 2023 Scopus Web Science core collection after applying relevant filters framework. Findings findings suggest studies have inadequately distinguished as something only builds interactive experiences combine real world, whereas theoretical domain dominated by in various domains. applicability pertinent domains management field. explores facets capture its dynamic nature. Research limitations/implications By presenting review, themes knowledge marketing, will enhance output valuable tools metaverse. Practical implications analyzing companies be able use concept effectively formulate innovative strategies personalized consumer understand behavior. Furthermore, into helpful offering predictions about trends behavior, technology adoption world development. Originality/value This provides thorough analysis current state road map further area.

Language: Английский

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Can artificial intelligence improve enterprise environmental performance: Evidence from China

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 123079 - 123079

Published: Oct. 30, 2024

Language: Английский

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Generative AI in the Manufacturing Process: Theoretical Considerations

Engineering Management in Production and Services, Journal Year: 2023, Volume and Issue: 15(4), P. 76 - 89

Published: Dec. 1, 2023

Abstract The paper aims to identify how digital transformation and Generative Artificial Intelligence (GAI), in particular, affect the manufacturing processes. Several dimensions of Industry 4.0 field have been considered, such as design new products, workforce skill optimisation, enhancing quality control, predictive maintenance, demand forecasting, marketing strategy. adopts qualitative research based on a critical review approach. It provides evidence GAI technology support mentioned areas. Appropriate use emerging allows managers transform by optimising processes, improving product design, contributing overall efficiency innovation industry. Simultaneously, technologies facilitate analytics forecast anticipate future demand, issues, potential risks, improve strategy market trends.

Language: Английский

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Me, Myself, and My AI: How artificial intelligence classification failures threaten consumers’ self-expression

Journal of Business Research, Journal Year: 2024, Volume and Issue: 186, P. 114974 - 114974

Published: Sept. 19, 2024

Language: Английский

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The influence of emotions and communication style on customer satisfaction and recommendation in a call center context: An NLP-based analysis

Journal of Business Research, Journal Year: 2025, Volume and Issue: 189, P. 115192 - 115192

Published: Jan. 19, 2025

Language: Английский

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