旅游酒店业可信AI征稿

本期征稿期刊：Electronic Markets

【主题】面向旅游与酒店业的负责任、可信赖人工智能应用

【关键词】人工智能，负责任的人工智能，可信赖的人工智能，旅游与酒店业，伦理，创新，体验，数字化转型，企业数字责任，人工智能治理，数字平台，数据生态系统，信息系统

征稿期刊

Electronic Markets

期刊指标

IF6.8(JCR 2024)

SSCI

Q1(BUSINESS 39/316)

Q1(MANAGEMENT 53/420)

ABS2/ ABDCA/ FMSC

年发文量55

征稿主题

Responsible and Trustworthy Artificial Intelligence in Tourism and Hospitality

细分领域

Ethical AI frameworks in tourism and hospitality: fairness, accountability, transparency, and inclusivity.

AI-driven consumer experiences: balancing personalization, convenience, and privacy.

AI robustness and risk: testing booking, pricing, and chatbot vulnerabilities, modeling threats, and strengthening resilience.

Trust, reliability and safety: building consumer trust, ensuring reliable performance, and managing risks.

Auditing AI systems: ongoing evaluations in pursuit of fairness, accuracy, and compliance.

Generative AI in marketing: pursuing responsibility in branding, engagement, and consumer journeys.

Sociotechnical and cultural dimensions: cross-cultural and historical perspectives on AI adoption.

AI, sustainability, and CSR: supporting or hindering responsible and sustainable practices in tourism and hospitality.

Future directions: conceptual frameworks and policy challenges for responsible and trustworthy AI in service innovation and resilience.

Social and labor impacts: the effects of adopting AI on employment, equity, and workforce well-being.

Frugal AI and digital twins: cost-effective and resource-conscious applications for operations and guest experiences.

Algorithmic transparency and rights: making AI decisions understandable and offering recourse for affected consumers.

Dark side of AI: risks of manipulation, surveillance, over-automation, and addictive design.

Corporate digital responsibility (CDR) in the age of AI within tourism and hospitality

AI on digital platforms: exploring recommender systems, marketplaces, and platform governance.

Data ecosystems: sharing and leveraging user/usage data across digital travel and hospitality platforms.

Trustworthy AI principles: ensuring AI systems in tourism and hospitality are lawful, ethical, and technically robust.

Verification, validation, and explainability: designing AI that is interpretable and auditable for multiple stakeholders.

Trustworthy AI and consumer journeys: balancing automation with transparency and user empowerment.

重要时间

Submission Deadline:15 September 2026

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