Table 2 Article selection criteria... | Emerald Publishing

Table 2

Article selection criteria

Factors	Acceptance criteria	Rejection criteria
Type of study	Articles published in peer-reviewed journals with proven scientific credibility High-quality conference papers (subject to peer review and relevance)	Personal opinions and non-scientific articles Content from personal websites and informal reports Articles lacking peer review or academic rigor
Subject	Studies focusing specifically on factors influencing the adoption of AI Articles addressing AI adoption within organizations, especially in HRM	Articles unrelated to AI adoption Studies that mention AI superficially or lack clear focus on adoption processes
General scope	Articles addressing AI applications within HRM Both theoretical and applied studies on the impact of AI in HR processes	Articles focused on other fields such as engineering, medicine or non-HRM topics Studies not aligning with the HRM domain
Research method	Studies employing qualitative methods (e.g. case studies and interviews) Studies using quantitative methods (e.g. surveys and statistical analyses) Articles applying mixed-methods research approaches	Non-methodical studies with no clear research methodology Descriptive or opinion-based articles lacking empirical or analytical data
Study period	Articles published within the period 2015–2023 CE Studies reflecting contemporary insights and trends in AI adoption	Articles published outside the specified timeframe Outdated studies with limited relevance to current AI research
Research language	Articles published in English	Articles published in languages other than English Studies without full-text availability

Factors	Acceptance criteria	Rejection criteria
Type of study	Articles published in peer-reviewed journals with proven scientific credibility High-quality conference papers (subject to peer review and relevance)	Personal opinions and non-scientific articles Content from personal websites and informal reports Articles lacking peer review or academic rigor
Subject	Studies focusing specifically on factors influencing the adoption of AI Articles addressing AI adoption within organizations, especially in HRM	Articles unrelated to AI adoption Studies that mention AI superficially or lack clear focus on adoption processes
General scope	Articles addressing AI applications within HRM Both theoretical and applied studies on the impact of AI in HR processes	Articles focused on other fields such as engineering, medicine or non-HRM topics Studies not aligning with the HRM domain
Research method	Studies employing qualitative methods (e.g. case studies and interviews) Studies using quantitative methods (e.g. surveys and statistical analyses) Articles applying mixed-methods research approaches	Non-methodical studies with no clear research methodology Descriptive or opinion-based articles lacking empirical or analytical data
Study period	Articles published within the period 2015–2023 CE Studies reflecting contemporary insights and trends in AI adoption	Articles published outside the specified timeframe Outdated studies with limited relevance to current AI research
Research language	Articles published in English	Articles published in languages other than English Studies without full-text availability

Source(s): Authors’ own work