Sustainable Tourism Dynamics at Kakrebihar: A Comprehensive Evaluation of Visitor Satisfaction and Loyalty within Archaeological and Forest Preserves

This research explores the dynamics of sustainable tourism at Kakrebihar, an archaeological site and forest preserve in Nepal, by examining the connections between sustainable tourism practices (STP), destination attributes (DA), visitor experience quality (VEQ), visitor satisfaction (VS), and visitor loyalty (VL). A quantitative approach rooted in the positivist paradigm was employed, with data collected through a survey of 407 visitors. Structural equation modeling (SEM), along with confirmatory factor analysis (CFA) and exploratory factor analysis (EFA), was used for data analysis. The results show significant positive correlations between STP, VEQ, and DA with VS, yielding path coefficients of 0.103, 0.382, and 0.283, respectively. VEQ emerged as the most influential factor in enhancing visitor satisfaction, highlighting the critical role of enriching visitor experiences. Furthermore, VS was identified as a key driver of VL, with a path coefficient of 1.362, suggesting that satisfied visitors are more inclined to return and recommend the site. These outcomes emphasize the role of sustainable tourism practices, destination appeal, and visitor experience in cultivating both satisfaction and loyalty. The study offers valuable insights for stakeholders, underlining the importance of effective tourism management to protect Kakrebihar's archaeological and ecological resources while promoting sustainable growth.

Authors

Institutions

Publication Details

Journal
Journal of Business Management and Information Systems
Published
2024-09-30
DOI
https://doi.org/10.48001/jbmis.1102003
Primary Topic
Diverse Aspects of Tourism Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sustainable Tourism Dynamics at Kakrebihar: A Comprehensive Evaluation of Visitor Satisfaction and Loyalty within Archaeological and Forest Preserves

Dipak Singh Rawat, Keshab Khadka, Ashok Khatri
Journal of Business Management and Information Systems
Diverse Aspects of Tourism Research
article

Sustainable Tourism Dynamics at Kakrebihar: A Comprehensive Evaluation of Visitor Satisfaction and Loyalty within Archaeological and Forest Preserves

Dipak Singh Rawat, Keshab Khadka, Ashok Khatri
article en

Abstract

This research explores the dynamics of sustainable tourism at Kakrebihar, an archaeological site and forest preserve in Nepal, by examining the connections between sustainable tourism practices (STP), destination attributes (DA), visitor experience quality (VEQ), visitor satisfaction (VS), and visitor loyalty (VL). A quantitative approach rooted in the positivist paradigm was employed, with data collected through a survey of 407 visitors. Structural equation modeling (SEM), along with confirmatory factor analysis (CFA) and exploratory factor analysis (EFA), was used for data analysis. The results show significant positive correlations between STP, VEQ, and DA with VS, yielding path coefficients of 0.103, 0.382, and 0.283, respectively. VEQ emerged as the most influential factor in enhancing visitor satisfaction, highlighting the critical role of enriching visitor experiences. Furthermore, VS was identified as a key driver of VL, with a path coefficient of 1.362, suggesting that satisfied visitors are more inclined to return and recommend the site. These outcomes emphasize the role of sustainable tourism practices, destination appeal, and visitor experience in cultivating both satisfaction and loyalty. The study offers valuable insights for stakeholders, underlining the importance of effective tourism management to protect Kakrebihar's archaeological and ecological resources while promoting sustainable growth.

Journal of Business Management and Information SystemsVol. 11(2)
Government of Nepal (NP), Mid-West University (NP)
Openalex Percentile: Top 73%
Diverse Aspects of Tourism Research
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.