Published: Jan. 1, 2024
Language: Английский
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
Business Strategy & Development, Journal Year: 2024, Volume and Issue: 7(3)
Published: Aug. 6, 2024
Abstract Drawing on value‐belief‐norm theory and the of planned behavior, this study examines gap between application green marketing strategies their effectiveness in harnessing purchase intentions through attitudes use generative artificial intelligence (AI) by Generation Z consumers. This explores a mediated moderating model using partial least squares structural equation modeling with data collected from 357 randomly selected The results reveal that among three strategies—green advertising, labeling, packaging—only packaging has direct positive influence intention, while others do not. Moreover, attitude been found to be significant mediator relationship intention. suggests cannot directly spark intentions; instead, these depends intervening variables like attitude. Furthermore, also shows AI young consumers enhances role toward Based findings, implications for practice are provided, followed arguments research limitations directions future studies.
Language: Английский
Citations
7
International Journal of Knowledge Management, Journal Year: 2025, Volume and Issue: 21(1), P. 1 - 29
Published: Feb. 13, 2025
Knowledge Management Systems (KMS) are vital for organizations in managing knowledge creation, sharing, and utilization. Integrating KMS with advanced technologies like graphs semantic can greatly enhance their functionality business contexts. This research aims to systematically reviews evaluates studies on the integration of technologies. The study follows PRISMA guidelines methodological rigor. review includes articles published between 2005 2024 from databases ScienceDirect IEEE Xplore, focusing keywords such as “knowledge graph” management systems.” From an initial 18,900 articles, 73 were selected detailed analysis. findings indicate that using tools RDF, SPARQL, OWL, SKOS enhances capabilities, enabling features search intelligent recommendations. However, challenges scalability, disambiguation, data privacy need be addressed fully realize KMS's potential supporting organizational management.
Language: Английский
Citations
0
International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15
Published: March 12, 2025
Language: Английский
Citations
0
Behaviour and Information Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 23
Published: April 9, 2025
Language: Английский
Citations
0
Electronic Markets, Journal Year: 2024, Volume and Issue: 34(1)
Published: Nov. 14, 2024
Abstract Intelligent process automation (IPA) augments symbolic using artificial intelligence. Emulating human decision-making, IPA enables the execution of complex processes requiring decision-making capacities. promises great economic potential as it more efficient use workforce. However, adoption rate in practice falls behind these potentials. Our study aims to investigate reasons and identify areas for action towards adoption. To this end, we identified 13 determinants created an extended UTAUT model. We tested model with partial least squares structural equation modeling significant influential relationships between based on a user study. contribute theory finding special role trust transparency IPA. Likewise, show that organizations should cultivate positive attitude diffusion. Further, our results focus adopters is contingent upon their characteristics, such experience job level.
Language: Английский
Citations
1
Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)
Published: Oct. 13, 2024
This study investigated the impact of generative AI tools on human resource management practices, organizational commitment, employee engagement, and performance. The authors also mediating role trust in relationship between user perception commitment. A structured questionnaire was used to collect data from information technology industry employees measure 9 reflective constructs optimism, innovativeness, ease use, usefulness, trust, vigor, dedication, Two constructs, use are modeled as a higher-order construct – User Perception, whereas vigor Dedication another construct, Employee Engagement. mode-fit indices were assessed for both higher- lower-order model-fit models, reveal an excellent model fit. Positive statistically significant impacts observed constructs. commitment engagement positive significant, turn, performance significant. Trust partially mediated fostering enhanced theories readiness, stimulus-organization-response, acceptance utilized development study's theoretical framework, which provided fresh perspectives how influenced by experience context AI. Theoretically, it opens up new applications such personalized education services, digital art, realistic virtual assistants that previously unfeasible or impractical automation. practical implications field interdisciplinary research well will be greatly impacted To facilitate swift adoption, principles conceptualized model-, system-, application-level addition social-technical perspective, where they explicated defined. In end, our has given future scholars agenda enable them different while incorporating concepts these theories.
Language: Английский
Citations
0
Published: Jan. 1, 2024
Language: Английский
Citations
0