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

Mohd Iqbal Mohd Noor; Voon-Ching Lim; Amira Mas Ayu Amir Mustafa; Amirah Azzeri; Mohd Hafiz Jaafar; Nursyaidatul Kamar Md Shah; Nur Syafiqah Hussin; Mohd Azim Zainal; Muhammad Fuad Abdullah

doi:10.37268/mjphm/vol.22/no.1/art.1519

Mohd Iqbal Mohd Noor Faculty of Business and Management, Universiti Teknologi MARA Raub Campus, 27600 Raub, Pahang, Malaysia
Voon-Ching Lim School of Science, Monash University Malaysia, 47500 Bandar Sunway, Selangor, Malaysia
Amira Mas Ayu Amir Mustafa School of Accounting & Finance, Faculty of Business & Law, Taylors University, Malaysia
Amirah Azzeri Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia
Mohd Hafiz Jaafar Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia, Bandar Baru Nilai, 71800 Nilai, Negeri Sembilan, Malaysia
Nursyaidatul Kamar Md Shah Academy of Language Studies, Universiti Teknologi MARA Melaka, 78000 Alor Gajah, Melaka, Malaysia
Nur Syafiqah Hussin Faculty of Accountancy, Universiti Teknologi MARA Pahang, 27600 Raub, Pahang, Malaysia
Mohd Azim Zainal Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA (UiTM) (Pahang), 27600, Raub, Pahang, Malaysia
Muhammad Fuad Abdullah Faculty of Business and Management, Universiti Teknologi MARA Raub Campus, 27600 Raub, Pahang, Malaysia

DOI: https://doi.org/10.37268/mjphm/vol.22/no.1/art.1519

Keywords: CiteSpace, Document Co-citation, Keyword analysis, knowledge map, scientometric study, visualization analysis

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 the participatory strength of the method that acts 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 on the photovoice method using the Scientometric method. This article explores the research landscape, key topics, and developments of the photovoice method based on the 1252 document data retrieved from the Web of Science Core Collection dated from 1997 to 2019. The results show that the interest in using this method is significantly high in the United States, Canada, and the United Kingdom as they are the major leaders in publication contributions. A Scientometric analysis for Document co-citation analysis was 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 policymakers by providing an understanding of overall trends, status, and potential research questions of study in this domain.

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