Year: 2025
Type: article
Abstract: Digital transformation necessitates enterprises to reconceptualize data as strategic assets requiring sophisticated management mechanisms. This study investigates how organizations develop and implement data asset management mechanisms through a multiple case study of six enterprises across financial services, manufacturing, and technology sectors. Through in-depth interviews and document analysis, four interconnected mechanisms emerged: automated discovery and classification systems, dynamic governance frameworks, intelligent value optimization engines, and adaptive integration architectures. Cross-case analysis reveals that successful data asset management depends not on isolated mechanism implementation but on their configurational integration, generating multiplicative performance effects. Organizations achieving full integration reported 240% performance improvements compared to 35-60% for those implementing mechanisms in isolation. The findings contribute to digital transformation literature by demonstrating how enterprises transform passive data repositories into active strategic resources through systematic management mechanisms.
Authors: Jiangjian Han, Qiuya Ma
Institution: Mahsa University
Language: English
Subfield: Management Information Systems
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4413219006