Data element utilization and firm value

IF 9.8 1区 经济学 Q1 BUSINESS, FINANCE International Review of Financial Analysis Pub Date : 2025-02-17 DOI:10.1016/j.irfa.2025.104004
Meihuan Tang
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Abstract

Contemporary business transformation has established data resources as critical drivers of organizational value creation, though the precise mechanisms governing this relation remain insufficiently explored in extant literature. This research investigates the complex pathways that connect data element utilization to firm value, specifically the mediating influence of absorptive capacity and the moderating role of environmental, social, and governance (ESG) disclosure practices. The study uses sophisticated econometric methodologies including fixed-effects regression frameworks, mediation analyses, and moderation assessments to analyze comprehensive panel data from 843 Chinese listed enterprises from 2010 to 2022. The empirical evidence shows that data utilization initiatives have a significant positive relation with firm value creation, which is substantially mediated by organizational absorptive capacity and positively moderated by ESG disclosure intensity. Notably, environmental and social disclosure dimensions show more pronounced moderating effects than governance components. Additional heterogeneity analyses reveal systematic differences in data utilization value creation potential across distinct ownership configurations and industry characteristics. The findings illuminate that effective data-driven value creation is critically dependent on organizational capabilities for knowledge assimilation and application and demonstrated commitment to sustainability practices. This research advances the theoretical understanding of data-driven value creation mechanisms while providing actionable insights for organizational leadership and policy architects in increasingly digitalized economic environments.
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数据元素利用与企业价值
当代商业转型已将数据资源确立为组织价值创造的关键驱动因素,尽管在现有文献中,控制这种关系的确切机制仍未得到充分探讨。本研究探讨了数据元素利用与企业价值之间的复杂联系,特别是吸收能力的中介影响和环境、社会和治理(ESG)披露实践的调节作用。本研究采用固定效应回归框架、中介分析和调节性评估等计量经济学方法,对2010 - 2022年843家中国上市企业的面板数据进行了综合分析。实证表明,数据利用主动性与企业价值创造之间存在显著的正相关关系,组织吸收能力对企业价值创造具有显著的中介作用,ESG披露强度对企业价值创造具有显著的正向调节作用。值得注意的是,环境和社会信息披露维度比治理要素显示出更明显的调节作用。额外的异质性分析揭示了不同所有权配置和行业特征的数据利用价值创造潜力的系统性差异。研究结果表明,有效的数据驱动价值创造严重依赖于组织吸收和应用知识的能力,以及对可持续性实践的承诺。本研究推进了对数据驱动价值创造机制的理论理解,同时为日益数字化的经济环境中的组织领导和政策制定者提供了可操作的见解。
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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