Answers are grounded in this paper and cite their sources.
Mixed-methods validation study identifies six core drivers of digital transformation across university stakeholders, highlighting key operational targets for academic research governance.
Digital transformation in university research management is a strategic imperative for modern higher education, yet its implementation remains inconsistent across institutions due to an insufficient understanding of its catalytic elements. This study aimed to develop and validate a robust measurement scale to evaluate the driving factors behind this transition. Drawing on a mixed-methods design, the scale was constructed through qualitative interviews and then rigorously tested using a large-scale survey of 1,875 stakeholders, including administrators, research leaders, and faculty within the Chinese higher education sector. The resulting 23 items instrument identifies six critical dimensions: equipment and technical support, university leadership attitudes, digital cognition, government policy support, university-enterprise collaboration, and digital technology capabilities. Psychometric evaluation confirmed the scale's high internal consistency and strong construct validity. This study fills a gap by operationalizing the driving factors of digital transformation in university research management into a validated six-dimensional framework, thereby extending existing models to the context of academic research governance. The findings offer a diagnostic tool for administrators to identify institutional bottlenecks and provide policymakers with an evidence-based foundation for targeted interventions that foster an integrated and efficient research ecosystem.
No takes yet. Share an insight, caveat, or question.
Cai et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: