Observational research: a valued methodology in tourism

Purpose The purpose of this paper is to review the values, importance and techniques of participant and non-participant observation research in tourism studies. This paper first reviews past and current trends in observation-based research generally, then focuses on its use in tourism, including various types of participation-based data collection, and its qualitative and quantitative use in research. Design/methodology/approach This paper takes a narrative perspective in providing an overview of current knowledge and practice in the area of observation-based research in tourism. Findings Examples of the utility of observational data unique to tourism are provided throughout this paper, and recommendations for future potential work in less-common tourism settings are given. Best practices, including ethics concerns and researcher positionality, are a core element of this paper, as is a discussion of the challenges, drawbacks and criticisms of the method to date. Originality/value Unique to this paper is the examination of recent adaptations to traditional observational research, including shadowing, social media-based research, autoethnography and non-invasive observation techniques such as live-feed images. In conclusion, this paper highlights some conceptual perspectives on observational research, its deeper utility in tourism studies and future directions that might fruitfully use this method to more deeply engage with different tourism contexts.

Authors

Institutions

Publication Details

Journal
Tourism Review
Published
2025-11-12
DOI
https://doi.org/10.1108/tr-07-2025-0791
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

Observational research: a valued methodology in tourism

Dallen J. Timothy
Tourism Review
Diverse Aspects of Tourism Research
article

Observational research: a valued methodology in tourism

Dallen J. Timothy
article en

Abstract

Purpose The purpose of this paper is to review the values, importance and techniques of participant and non-participant observation research in tourism studies. This paper first reviews past and current trends in observation-based research generally, then focuses on its use in tourism, including various types of participation-based data collection, and its qualitative and quantitative use in research. Design/methodology/approach This paper takes a narrative perspective in providing an overview of current knowledge and practice in the area of observation-based research in tourism. Findings Examples of the utility of observational data unique to tourism are provided throughout this paper, and recommendations for future potential work in less-common tourism settings are given. Best practices, including ethics concerns and researcher positionality, are a core element of this paper, as is a discussion of the challenges, drawbacks and criticisms of the method to date. Originality/value Unique to this paper is the examination of recent adaptations to traditional observational research, including shadowing, social media-based research, autoethnography and non-invasive observation techniques such as live-feed images. In conclusion, this paper highlights some conceptual perspectives on observational research, its deeper utility in tourism studies and future directions that might fruitfully use this method to more deeply engage with different tourism contexts.

Tourism ReviewVol. 81(1)
Taiwan Hospitality and Tourism University (TW)
Openalex Percentile: Top 56%
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.