Intentional or Designed? The Impact of Stance Attribution on Cognitive Processing of Generative AI Service Failures DOI Creative Commons
Dong Lv, Rui Sun, Qiuhua Zhu

et al.

Brain Sciences, Journal Year: 2024, Volume and Issue: 14(10), P. 1032 - 1032

Published: Oct. 17, 2024

Background: With the rapid expansion of generative AI market, conducting in-depth research on cognitive conflicts in human–computer interaction is crucial for optimizing user experience and improving quality interactions with systems. However, existing studies insufficiently explore role explanation stance attribution design interactions. Methods: This research, grounded mental models theory employing an improved version oddball paradigm, utilizes Event-Related Spectral Perturbations (ERSP) functional connectivity analysis to reveal how task types explanations influence users’ unconscious processing mechanisms during service failures. Results: The results indicate that under explanations, ERSP Phase Locking Value (PLV) theta frequency band were significantly lower emotional failures than mechanical In case failures, PLV induced by intentional higher those explanations. Conclusions: study found profoundly affect AI, which determine their responses failure.

Language: Английский

AI-Driven Sustainable Marketing in Gulf Cooperation Council Retail: Advancing SDGs Through Smart Channels DOI Creative Commons
Hanadi A. Salhab, Munif Zoubi, Laith T. Khrais

et al.

Administrative Sciences, Journal Year: 2025, Volume and Issue: 15(1), P. 20 - 20

Published: Jan. 7, 2025

This paper explores how AI drives GCC sector retail towards the fulfillment of UN SDGs. Analyzing a survey conducted on 410 executives, using PLS-SEM, this study underlines role in promoting operational efficiency, waste reduction, and consumer engagement with greener products. Key highlights include that AI-enabled marketing strategies improve adoption sustainable practices among consumers; AI-powered smart distribution channels enhance supply chain reduce carbon emissions, optimize logistics. For retailer, practical applications use demand forecasting to potentially waste, personalized efficiently promote products, deploying systems energy consumption. While these benefits are real, data privacy algorithmic bias remain valid concerns, thus underlining need for ethics transparency practice AI. The following provides actionable insights retailers align sustainability goals, fostering competitive advantages environmental responsibility.

Language: Английский

Citations

4
How Technology Readiness Influences Behavioral and Purchasing Intention: Serial Multiple Mediating Role of Attitude toward AI and AI-Driven Consumer Chatbot Experience DOI Creative Commons
Cihan BECAN

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Abstract With the rise of AI in digital consumer experiences, one key challenges for businesses is predicting and influencing consumers’ behavioral purchase intentions AI-driven interactions. In this regard, there appears to be a knowledge gap literature that cannot determined regarding effect technology readiness on purchasing and, accordingly, mediating role attitude toward chatbot experience. Therefore, research aims determine relationships among readiness, technology, experience, intentions, intentions. The primary focus study evaluate impact Turkish consumers' through serial multiple roles customer A questionnaire designed line with purpose was applied 423 respondents using chatbots during shopping Although does not directly affect experience play relationship between motivations intention.

Language: Английский

Citations

0
Artificial Intelligence in Retail Marketing: Research Agenda Based on Bibliometric Reflection and Content Analysis (2000–2023) DOI Creative Commons
Ahasanul Haque,

Naznin Akther,

Md Irfanuzzaman Khan

et al.

Informatics, Journal Year: 2024, Volume and Issue: 11(4), P. 74 - 74

Published: Oct. 9, 2024

Artificial intelligence (AI) is fundamentally transforming the marketing landscape, enabling significant progress in customer engagement, personalization, and operational efficiency. The retail sector has been at forefront of AI revolution, adopting technologies extensively to transform consumer interactions, supply chain management, business performance. Given its early adoption AI, industry serves as an essential case context for investigating broader implications behavior. Drawing on 404 articles published between 2000 2023, this study presents a comprehensive bibliometric content analysis applications marketing. used VOSviewer (1.6.20.0 version) Bibliometrix (version 4.3.1) identify important contributors, top institutions, key publication sources. Co-occurrence keyword co-citation analyses were map intellectual networks highlight emerging themes. Additionally, focused 50 recent was selected based their relevance, timeliness, citation influence. It revealed six primary research streams: (1) behavior, (2) marketing, (3) performance, (4) sustainability, (5) (6) trust. These streams categorized through thematic relevance theoretical significance, emphasizing AI’s impact sector. contributions are twofold. Theoretically, it integrates existing outlines future areas such role domain From empirical standpoint, highlights how can be applied enhance experiences improve operations.

Language: Английский

Citations

2
Intentional or Designed? The Impact of Stance Attribution on Cognitive Processing of Generative AI Service Failures DOI Creative Commons
Dong Lv, Rui Sun, Qiuhua Zhu

et al.

Brain Sciences, Journal Year: 2024, Volume and Issue: 14(10), P. 1032 - 1032

Published: Oct. 17, 2024

Background: With the rapid expansion of generative AI market, conducting in-depth research on cognitive conflicts in human–computer interaction is crucial for optimizing user experience and improving quality interactions with systems. However, existing studies insufficiently explore role explanation stance attribution design interactions. Methods: This research, grounded mental models theory employing an improved version oddball paradigm, utilizes Event-Related Spectral Perturbations (ERSP) functional connectivity analysis to reveal how task types explanations influence users’ unconscious processing mechanisms during service failures. Results: The results indicate that under explanations, ERSP Phase Locking Value (PLV) theta frequency band were significantly lower emotional failures than mechanical In case failures, PLV induced by intentional higher those explanations. Conclusions: study found profoundly affect AI, which determine their responses failure.

Language: Английский

Citations

0