How Does AI Education Shape Sustainability Attitudes Among Generation Z? Evidence from Istanbul’s Move Toward Hospitality 5.0

This paper reviews the impact of various types of AI education on the sustainability attitudes of Generation Z in Istanbul in the context of the new model of Hospitality 5.0. The study concentrates on three major aspects of learning related to AI, namely knowledge, practical implementation, and value-based orientation, and their interim impact on shaping sustainability-oriented perceptions of young people. The study established the reliability and stability of the constructs using psychometric testing, and factor analysis and structural modeling proved that every educational dimension of AI is positively related to sustainability attitudes. Of them, knowledge utilization proved to be the most powerful predictor. Further residual results revealed behavioral anomalies by demonstrating that those who outperformed were people with moderate technical abilities and high sustainability values and those who underperformed possessed high digital abilities without integrity value-based alignment. These results demonstrate that formal AI education is a stabilizing force, which encourages more consistent and sustainability-focused attitudes. Altogether, the findings point to the significance of educational models combining technical skills with ethical and environmental consciousness in helping Generation Z to find a middle ground in terms of sustainable change in the digital hospitality industry.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2025-11-16
DOI
https://doi.org/10.3390/su172210246
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Does AI Education Shape Sustainability Attitudes Among Generation Z? Evidence from Istanbul’s Move Toward Hospitality 5.0

Tolga Kara
Sustainability
AI in Service Interactions
article

How Does AI Education Shape Sustainability Attitudes Among Generation Z? Evidence from Istanbul’s Move Toward Hospitality 5.0

Tolga Kara
article en

Abstract

This paper reviews the impact of various types of AI education on the sustainability attitudes of Generation Z in Istanbul in the context of the new model of Hospitality 5.0. The study concentrates on three major aspects of learning related to AI, namely knowledge, practical implementation, and value-based orientation, and their interim impact on shaping sustainability-oriented perceptions of young people. The study established the reliability and stability of the constructs using psychometric testing, and factor analysis and structural modeling proved that every educational dimension of AI is positively related to sustainability attitudes. Of them, knowledge utilization proved to be the most powerful predictor. Further residual results revealed behavioral anomalies by demonstrating that those who outperformed were people with moderate technical abilities and high sustainability values and those who underperformed possessed high digital abilities without integrity value-based alignment. These results demonstrate that formal AI education is a stabilizing force, which encourages more consistent and sustainability-focused attitudes. Altogether, the findings point to the significance of educational models combining technical skills with ethical and environmental consciousness in helping Generation Z to find a middle ground in terms of sustainable change in the digital hospitality industry.

SustainabilityVol. 17(22)
Mi̇lli̇ Eği̇ti̇m Bakanliği (TR)
Openalex Percentile: Top 81%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.