Figure 1
A flow diagram showing data collection, processing, analysis, and policy framework steps with article filtering.The diagram is divided into four sections labeled “DATA COLLECTION”, “DATA PROCESSING”, “CONTENT ANALYSIS and DISCUSSION”, and “POLICY FRAMEWORK”. In the “DATA COLLECTION” section, a box labeled “Multi-criteria searching by Scopus Database Document type: Review and Research, Subject Area: Engineering, Language: English Year: 2020 - Present” is connected by a rightward arrow to “Studies identified (n equals 347)”. From this box, a downward arrow leads to “Articles after filtering out duplicates (n equals 361)”. On the right, “Articles identified from other sources (n equals 14)” connects to an arrow between “Studies identified (n equals 347)” and “Articles after filtering out duplicates (n equals 361)” by a leftward arrow. From “Articles after filtering out duplicates (n equals 1361)”, a rightward arrow leads to “Duplicated articles (n equals 57)”. In the “DATA PROCESSING” section, “Articles after filtering out duplicates (n equals 361)” is connected by a leftward arrow to “Screening for eligibility (n equals 304) Significance, Contribution, Study highlights”. From this, a downward arrow leads to “Articles included in this study (n equals 63)”. From this, a rightward arrow leads to “Irrelevant articles (n equals 241)”. In the “CONTENT ANALYSIS and DISCUSSION” section, “Articles included in this study (n equals 63)” is connected downward to two parallel boxes: “Identify barriers for implementation” and “Identify enablers for implementation”. In the “POLICY FRAMEWORK” section, both “Identify barriers for implementation” and “Identify enablers for implementation” are connected downward to “Develop a policy framework”. This box is then connected by a rightward arrow to “Develop an implementation guideline for the Australian context”.

Research framework

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