View Full Paper

Owner Consent Verified
Report 4.7

Privacy And Security in Explainable AI for Hospitality Operators: Post-Pandemic Lessons

17
Pages
APA
Style
~ 18–25 mins
Reading Time
Sociology Esports InsurTech
Abstract

This report investigates “Privacy And Security in Explainable AI for Hospitality Operators: Post-Pandemic Lessons” using a survey-based structural equation modeling. Through a economic lens, the analysis integrates multi-source data to derive a stakeholder-aligned blueprint for researchers and practitioners.

Download PDF Order Similar Paper Save

Privacy And Security in Explainable AI for Hospitality Operators: Post-Pandemic Lessons

ABSTRACT
Privacy And Security in Explainable AI for Hospitality Operators: Post-Pandemic Lessons is unpacked across themes: security, equity, usability, and ethics. Limitations and future research paths are noted.
1
Open full preview
Related Papers
Browse all
25 Pages 4.5
Health Informatics for Urban Households: Innovation Diffusion | A systematic literature review
Climate Cold Chain Risk
View Paper
28 Pages 4.7
Workforce Analytics for Regulated Utilities: Customer Experience | A Comparative Perspective
Governance Supply Chain Green Finance
View Paper
32 Pages 4.4
InsurTech and Human Factors And Usability among Hospitality Operators — Post-Pandemic Lessons
Logistics Education Metaverse
View Paper