*3.2. Phase 2—Bibliometric Analysis*

The bibliometrics method was first introduced in 1969 by a scholar named Pritchard. The term bibliometric is elaborated as an information and library sciences research area which employs a quantitative approach and analyzes the bibliographical data of among others, the year of publication, country of origin, authors, etc. [59]. The bibliometric method employs quantitative analysis of empirical data published in prior literature to study the trends of publication within various research domains. Furthermore, it enables researchers to examine the body of literature in their field of study and identify the major themes [54,60]. Using bibliometric analysis allows researchers to explore the trends, reader usage, citation pattern, knowledge base, author network, and significance of the subject [61]. Bibliometric analysis is often combined with science mapping techniques to visualize the intellectual structure of a particular research field [62]. Visualization requires visual tools such as VosViewer, Gephi, or Pajek, which have been used extensively in management and science research. In this study, bibliometric analysis was employed to analyze citation-based analysis, co-word analysis or keyword co-occurrence analysis, and co-authorship analysis, which are considered the most common ones using this method.

#### 3.2.1. Data Extraction

The process of data extraction was followed by data requirements of bibliometric analysis such as the author's names, citations, titles, journals, DOI, references, abstracts, keywords, and author affiliations [46]. The data from each bibliographic database was extracted into an excel file and merged following the Scopus format. Then, data were exported into VOSviewer for constructing and visualizing the information. Next, the thresholds such as the minimum number of publications, citations, and occurrence of keywords were specified for analysis of science mapping.

#### 3.2.2. Analyzing and Synthesizing the Data

The bibliometric analysis consists of two techniques which are performance analysis and science mapping. This study used performance analysis to determine the distribution and the trend of the publication related to the panel survey data. Besides that, the analysis of science mappings such as Co-authorship, Keyword Co-occurrence, Citation, and Co-citation Analysis was used to examine the relationships between the research constituents [46].
