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作 者:王鑫[1] 刘克春[1] 曾经纬 WANG Xin;LIU Ke-chun;ZENG Jing-wei(Jiangxi University of Finance and Economics,Nanchang 330032,China)
机构地区:[1]江西财经大学工商管理学院,江西南昌330032
出 处:《当代财经》2022年第7期76-86,共11页Contemporary Finance and Economics
基 金:国家社会科学基金重大项目“数据要素参与收入分配的机制与策略研究”(20ZDA047);国家自然科学基金项目“互联网与制造企业深度融合的价值创造机理及融合模式研究”(71863015)。
摘 要:在数字经济背景下,转型升级成为各界共同关注的议题,而大数据能力被视为数字化时代的一种组织动态能力,势必对企业转型升级产生重要影响。基于技术创新和商业模式创新构建多重中介模型,探讨大数据能力对企业转型升级的影响及其机制,并通过954家企业调查数据对其中的作用路径进行实证检验。研究结果表明,大数据能力能够对企业转型升级产生显著的正向影响,技术创新和商业模式创新在大数据能力与企业转型升级之间具有同步中介效应和链式中介效应。进一步对比中介效应发现,大数据能力影响企业转型升级的三条间接路径存在显著差异。In the context of digital economy, transformation and upgrading have become a common theme of concern from all walks of life, and big data capability is regarded as a kind of organizational dynamic capability in the digital era, which will inevitably have an important impact on the transformation and upgrading of enterprises. Based on technological innovation and business model innovation, this paper constructs a multiple mediation model to explore the impact of big data capability on corporate transformation and upgrading and its mechanism, and conducts an empirical test on the acting path of its role with the survey data of 954 enterprises. The findings show that big data capability can have a significant positive impact on corporate transformation and upgrading, and technological innovation and business model innovation have synchronous and chain mediating effects between big data capability and corporate transformation and upgrading. Further comparison of the mediating effects reveals that there are significant differences in the three indirect paths of big data capabilities affecting corporate transformation and upgrading.
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