PHOTOVOICE METHOD TRENDS, STATUS AND POTENTIAL FOR FUTURE PARTICIPATORY RESEARCH APPROACH

Abstract

In the last decade researchers from around the world have shown deep interest in using photovoice as a method of analysis in scientific research. This might be due to participatory strength of the method that act as a bridge to connect researcher and community by balancing scientific research and mitigating action. The purpose of this research is to synthesize the available research of photovoice method using Scientometric method. This article explores the research landscape, key topics, and developments of photovoice method based on the 1252 document data retrieved from Web of Science Core Collection dated from 1997 to 2019. The results show that the interest of using this method is significantly high in United States, Canada, and United Kingdom as they are the major leaders in publication contributions. A Scientometric analysis for Document co-citation analysis were applied and 15 research clusters were identified. This paper reviews the main characteristics of 6 most important clusters and their contribution to the photovoice method. The outcome of this study contributes to academia, industry practitioners and policy makers by providing an understanding in overall trends, status, and potential research questions of study in this domain