Answers are grounded in this paper and cite their sources.
Systematic review identifies automation patterns in six environmental domains, suggesting a strategic framework for sustainable transformation.
Organizations implement intelligent automation across diverse operational contexts but often lack comprehensive frameworks for strategic decision-making and cross-domain integration. The existing literature frequently examines isolated applications with limited implementation guidelines addressing environmental interdependencies. This study conducts a systematic review of 69 publications (2019–2024) using thematic analysis to examine automation patterns across six environmental domains: social, economic, educational, scientific, technological, and ecological. The analysis identifies three implementation patterns: efficiency-focused domains (economic, technological) emphasizing operational optimization; capability-focused domains (social, educational) prioritizing human augmentation; innovation-focused domains (scientific, ecological) developing transformative applications. Cross-domain analysis reveals integration opportunities and sustainability considerations. The study proposes a strategic decision-making framework incorporating environmental assessment tools, quality enhancement mechanisms, and planning capabilities. This framework supports organizations in selecting domain-appropriate strategies while addressing sustainable transformation objectives. The research provides systematic environmental categorization of intelligent automation applications and offers implementation guidelines for practitioners pursuing coordinated digital transformation across organizational contexts.
No takes yet. Share an insight, caveat, or question.
Kuzior et al. (2025) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: