Statistical Modeling of Tourists’ Protection Behavior under Cultural Heritage Knowledge Sharing: Evidence from Shandong Province, China

Cultural heritage preservation increasingly relies on tourists’ active participation, particularly through knowledge-based interactions. This study develops and tests a structural equation model (SEM) to quantitatively analyze the nonlinear relationships between four dimensions of cultural heritage knowledge sharing—informational, social, experiential, and technological—and tourists’ protection behavior. Data were collected from 368 domestic tourists at three major heritage sites in Shandong Province, China, using purposive sampling. A bootstrapped SEM approach was employed to estimate path coefficients and assess model fit. The analysis reveals that all four knowledge sharing dimensions significantly and positively impact protection behavior, with technological knowledge sharing exerting the strongest influence. The results underscore the importance of multidimensional knowledge dissemination in shaping behavioral outcomes. Methodologically, this study applies mathematical modeling and latent variable analysis to capture complex behavioral patterns in heritage tourism, providing a foundation for future quantitative frameworks in cultural heritage research.

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Publication Details

Journal
Communications on Applied Nonlinear Analysis
Published
2025-03-27
DOI
https://doi.org/10.52783/cana.v32.4574
Primary Topic
Sharing Economy and Platforms
Type
article
Field-Weighted Citation Impact
0.00
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Statistical Modeling of Tourists’ Protection Behavior under Cultural Heritage Knowledge Sharing: Evidence from Shandong Province, China

Nancy Kong
Communications on Applied Nonlinear Analysis
Sharing Economy and Platforms
article

Statistical Modeling of Tourists’ Protection Behavior under Cultural Heritage Knowledge Sharing: Evidence from Shandong Province, China

Nancy Kong
article en

Abstract

Cultural heritage preservation increasingly relies on tourists’ active participation, particularly through knowledge-based interactions. This study develops and tests a structural equation model (SEM) to quantitatively analyze the nonlinear relationships between four dimensions of cultural heritage knowledge sharing—informational, social, experiential, and technological—and tourists’ protection behavior. Data were collected from 368 domestic tourists at three major heritage sites in Shandong Province, China, using purposive sampling. A bootstrapped SEM approach was employed to estimate path coefficients and assess model fit. The analysis reveals that all four knowledge sharing dimensions significantly and positively impact protection behavior, with technological knowledge sharing exerting the strongest influence. The results underscore the importance of multidimensional knowledge dissemination in shaping behavioral outcomes. Methodologically, this study applies mathematical modeling and latent variable analysis to capture complex behavioral patterns in heritage tourism, providing a foundation for future quantitative frameworks in cultural heritage research.

Communications on Applied Nonlinear AnalysisVol. 32(9s)
Openalex Percentile: Top 93%
Sharing Economy and Platforms
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Statistical Modeling of Tourists’ Protection Behavior under Cultural Heritage Knowledge Sharing: Evidence from Shandong Province, China — Nancy Kong · Communications on Applied Nonlinear Analysis (2025) | TGRS Research Map | TGRS