Determinants of Public Engagement in ICH Study Tours: An Integrated Approach Combining Association Rule Mining and Textual Sentiment Analysis

Intangible Cultural Heritage (ICH) study tours have gained prominence as a vital mechanism for preserving cultural traditions while fostering public education and engagement. However, their promotion faces challenges, including limited awareness, accessibility barriers, and uneven institutional support. This study investigates public willingness to promote ICH study tours by analyzing key influencing factors, preferred promotional strategies, and qualitative feedback through a mixed-methods approach. A large-scale survey of 3,923 respondents revealed strong public endorsement for policy interventions (87.65% support for government-led initiatives) and a preference for digital promotion channels. Association rule mining with the PCY algorithm identified cultural depth and experiential diversity as primary drivers of promotion willingness, while text analytics highlighted demands for enhanced policy support and pedagogical innovation. The findings underscore the need for multifaceted strategies that integrate immersive content, infrastructure improvements, and adaptive outreach. Despite limitations such as urban sampling bias, this study provides actionable insights for stakeholders, advocating for technological integration (e.g., AI-driven personalization) and public-private partnerships to ensure sustainable ICH preservation.

Authors

Institutions

Publication Details

Journal
Academic journal of management and social sciences
Published
2025-04-14
DOI
https://doi.org/10.54097/dc6w6y29
Primary Topic
Recommender Systems and Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of Public Engagement in ICH Study Tours: An Integrated Approach Combining Association Rule Mining and Textual Sentiment Analysis

Qi Meng
Academic journal of management and social sciences
Recommender Systems and Techniques
article

Determinants of Public Engagement in ICH Study Tours: An Integrated Approach Combining Association Rule Mining and Textual Sentiment Analysis

Qi Meng
article en

Abstract

Intangible Cultural Heritage (ICH) study tours have gained prominence as a vital mechanism for preserving cultural traditions while fostering public education and engagement. However, their promotion faces challenges, including limited awareness, accessibility barriers, and uneven institutional support. This study investigates public willingness to promote ICH study tours by analyzing key influencing factors, preferred promotional strategies, and qualitative feedback through a mixed-methods approach. A large-scale survey of 3,923 respondents revealed strong public endorsement for policy interventions (87.65% support for government-led initiatives) and a preference for digital promotion channels. Association rule mining with the PCY algorithm identified cultural depth and experiential diversity as primary drivers of promotion willingness, while text analytics highlighted demands for enhanced policy support and pedagogical innovation. The findings underscore the need for multifaceted strategies that integrate immersive content, infrastructure improvements, and adaptive outreach. Despite limitations such as urban sampling bias, this study provides actionable insights for stakeholders, advocating for technological integration (e.g., AI-driven personalization) and public-private partnerships to ensure sustainable ICH preservation.

Academic journal of management and social sciencesVol. 11(1)
Shanxi University (CN)
Openalex Percentile: Top 91%
Recommender Systems and Techniques
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.

Determinants of Public Engagement in ICH Study Tours: An Integrated Approach Combining Association Rule Mining and Textual Sentiment Analysis — Qi Meng · Academic journal of management and social sciences (2025) | TGRS Research Map | TGRS