Discovering the Relationship Between Destination Attributes and Tourist Satisfaction in Region XII, Philippines

In the heart of Region XII, Philippines, lies a treasure trove of untapped tourism potential, yet the key to unlocking it remains elusive. This study explores the intricate relationship between destination attributes and tourist satisfaction, framed by the Expectation-Disconfirmation Theory (EDT), which posits that satisfaction arises from the alignment between tourists' expectations and their actual experiences. Utilizing a comprehensive survey distributed via digital platforms, the research gathered data from 100 participants, encompassing both residents and non-residents aged 18 and above. The findings reveal that destination attributes factors significantly influence tourist satisfaction (p<.05). Additionally, the study highlights the importance of effective marketing and communication strategies in managing tourist expectations. By addressing the need for improved infrastructure and enhanced service delivery, the research offers actionable recommendations for elevating the tourism experience in Region XII. Ultimately, this study serves as a vital resource for local businesses and government agencies, guiding them toward sustainable tourism development that meets the diverse needs of visitors while fostering long-term growth in the region.

Authors

Institutions

Publication Details

Journal
Psychology and Education A Multidisciplinary Journal
Published
2025-03-08
DOI
https://doi.org/10.70838/pemj.330206
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

Discovering the Relationship Between Destination Attributes and Tourist Satisfaction in Region XII, Philippines

Luís Pacheco, Kleven Jake Villamor, Joanne Estanda, Marjorie Babon et al.
Psychology and Education A Multidisciplinary Journal
Diverse Aspects of Tourism Research
article

Discovering the Relationship Between Destination Attributes and Tourist Satisfaction in Region XII, Philippines

Luís Pacheco, Kleven Jake Villamor, Joanne Estanda, Marjorie Babon, Jann Khert Importante
article en

Abstract

In the heart of Region XII, Philippines, lies a treasure trove of untapped tourism potential, yet the key to unlocking it remains elusive. This study explores the intricate relationship between destination attributes and tourist satisfaction, framed by the Expectation-Disconfirmation Theory (EDT), which posits that satisfaction arises from the alignment between tourists' expectations and their actual experiences. Utilizing a comprehensive survey distributed via digital platforms, the research gathered data from 100 participants, encompassing both residents and non-residents aged 18 and above. The findings reveal that destination attributes factors significantly influence tourist satisfaction (p<.05). Additionally, the study highlights the importance of effective marketing and communication strategies in managing tourist expectations. By addressing the need for improved infrastructure and enhanced service delivery, the research offers actionable recommendations for elevating the tourism experience in Region XII. Ultimately, this study serves as a vital resource for local businesses and government agencies, guiding them toward sustainable tourism development that meets the diverse needs of visitors while fostering long-term growth in the region.

Psychology and Education A Multidisciplinary JournalVol. 33(2)
University of Southern Philippines Foundation (PH)
Openalex Percentile: Top 95%
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.