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This study examines experiences and enjoyment of national parks in the context of Tanzania.
Abstract
Purpose
This study examines experiences and enjoyment of national parks in the context of Tanzania.
Design/methodology/approach
A cross-sectional design with quantitative and qualitative methods is applied. The study area is Nyerere National Park in Tanzania. Data collected from fully completed structured questionnaires by 360 domestic tourists are subjected to descriptive statistics and Partial Least Square Structural Equation Modeling analysis. Content analysis is used to analyze qualitative data.
Findings
The findings have revealed that there is a significant relationship between direct experiences and enjoyment of southern national parks among domestic tourists.
Research limitations/implications
The suggestion is for future studies to explore a longitudinal approach to determine the patterns of domestic tourists in reference to experiences and enjoyment of national parks so as to improve domestic tourism.
Practical implications
The practical implication is for the government, private sector and tourism stakeholders to improve infrastructure and conduct regular surveys and tour guide training.
Originality/value
This study examines experiences and enjoyment of national parks in the context of Tanzania and, specifically analyzes the relationship between direct experiences and enjoyment of southern national parks among domestic tourists in Tanzania guided by types of tourists’ theory.
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Keywords
This study examines the mediating role of motivation on outdoor recreation on the attitude–behavior and social marketing–behavior linkages. The paper scrutinizes the moderating…
Abstract
Purpose
This study examines the mediating role of motivation on outdoor recreation on the attitude–behavior and social marketing–behavior linkages. The paper scrutinizes the moderating impact of coronavirus disease 2019 (COVID-19) risk perception in transforming individual motivation on nature-based outdoor recreation into environmentally responsible behavior.
Design/methodology/approach
Data were collected and conducted in Vietnamese National Parks. The dataset consists of 900 valid responses by domestic travelers. The research was operationalized using empirical data and employed structural equation modeling (SEM) and SPSS PROCESS analysis.
Findings
First, this study confirms that outdoor recreation activities and business's marketing on social networks tend to transform into support for individual behavior in terms of protecting environment and having responsibility for environment. Second, the current paper also represents the academic efforts to contribute to outdoor recreation literature by explaining the current global problem that has caused serious upheaval in global society as well as individual life. The findings not only confirmed the mediating role of nature-based outdoor recreation motivation between attitude and behavior, but also examined the moderating effect of COVID-19 risk perception in the relationship between motivation and behavior.
Originality/value
The findings indicate the significant association of social marketing, environment attitudes, outdoor recreation motivation and environmentally responsible behavior. The findings not only confirmed the mediating role of nature-based outdoor recreation motivation between attitude and behavior, but also examined the moderating effect of COVID-19 risk perception in the relationship between motivation and behavior. These results provide key insights about examining visitors' behavior for environment protection during future infectious disease outbreaks.
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Keywords
María Belén Prados-Peña, George Pavlidis and Ana García-López
This study aims to analyze the impact of Artificial Intelligence (AI) and Machine Learning (ML) on heritage conservation and preservation, and to identify relevant future research…
Abstract
Purpose
This study aims to analyze the impact of Artificial Intelligence (AI) and Machine Learning (ML) on heritage conservation and preservation, and to identify relevant future research trends, by applying scientometrics.
Design/methodology/approach
A total of 1,646 articles, published between 1985 and 2021, concerning research on the application of ML and AI in cultural heritage were collected from the Scopus database and analyzed using bibliometric methodologies.
Findings
The findings of this study have shown that although there is a very important increase in academic literature in relation to AI and ML, publications that specifically deal with these issues in relation to cultural heritage and its conservation and preservation are significantly limited.
Originality/value
This study enriches the academic outline by highlighting the limited literature in this context and therefore the need to advance the study of AI and ML as key elements that support heritage researchers and practitioners in conservation and preservation work.
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