文献类型：期刊文献

英文题名：Data-driven corporate health assessment: an analytical framework for strategic management information systems

作者：Zhu, Wen[1];Yao, Fengmin[1];Zhan, Ximing[2];Lu, Yang[3];Da Xu, Li[4]

第一作者：Zhu, Wen

通讯作者：Zhan, XM[1]

机构：[1]Guangzhou Huashang Coll, Shenhua AI Vis Inst, Guangzhou, Peoples R China;[2]Beijing Union Univ, Management Coll, Beijing 102200, Peoples R China;[3]Beijing Technol & Business Univ, Sch Comp & Artificial Intelligence, Beijing, Peoples R China;[4]Old Dominion Univ, Strome Coll Business, Norfolk, VA USA

第一机构：Guangzhou Huashang Coll, Shenhua AI Vis Inst, Guangzhou, Peoples R China

通讯机构：[1]corresponding author), Beijing Union Univ, Management Coll, Beijing 102200, Peoples R China.|[1141755]北京联合大学管理学院;[11417]北京联合大学;

年份：2025

外文期刊名：ENTERPRISE INFORMATION SYSTEMS

收录：;Scopus(收录号：2-s2.0-105014098883);WOS:【SCI-EXPANDED(收录号:WOS:001556697200001)】；

基金：This research was supported by Guangzhou Huashang College Grant No. [2024HSZD02].

语种：英文

外文关键词：Corporate health; system theory; life cycle theory; corporate governance; data-driven assessment

摘要：This study introduces a data-driven framework for assessing corporate health (CH). Drawing on system theory and life cycle theory, we develop a CH evaluation model, consisting of seven primary subsystems, with 34 secondary indicators. The operations management system (OMS), strategic management system (SMS), and financial management system (FMS) exert direct influences on CH. The synergy between OMS and SMS further strengthens CH, while resource tension between SMS and FMS-quantified via a negative interaction term-underscores the need for prudent strategic allocation. While the indirect effects of the life cycle system (LCS) and ecological adaptation system (EAS) warrant further investigation.