Joshua Borycz

Papers

Total Citations

H-Index

About

Joshua Borycz is a researcher whose work lies at the intersection of information science, data management, and sustainable automation. His most cited paper, "Performance Analysis Method for Robotic Process Automation" (2023, 18 citations), addresses a critical gap in Business Process Management (BPM) by developing frameworks that integrate sustainability into automated decision-making. This work demonstrates how organizations can achieve both cost and time savings through intelligent, environmentally conscious automation—a contribution that resonates with the growing demand for green digital transformation. Beyond this flagship study, Borycz’s research portfolio explores how data curation and metadata practices can enhance research reproducibility and accessibility, particularly in scientific domains. His impact is evident in the steady citation growth of his publications, which are increasingly referenced by scholars seeking to bridge technical automation with sustainability goals. Borycz’s work is notable for its practical orientation: rather than focusing solely on theoretical models, he provides actionable methods that businesses and researchers can adopt to streamline operations while reducing ecological footprints. For students and researchers interested in the future of sustainable business technologies, Borycz offers a compelling model of how data-driven innovation can serve both efficiency and environmental stewardship.