Digital innovation is not a technology in itself but businesses’ ability to exploit digital technology to resolve outmoded problems. Digital innovation is leveraging improvements or innovating technology to reimagine business practice. The Coronavirus disease 2019 exerted enormous effects on people's physical and psychological health. In addition, this pandemic adversely affected the global economy, from sole proprietors to multinational firms. However, such an effect did not hinder versatile products, services, and upgraded versions of technologies. Modern firms rely heavily on available data sets to make decisions through analytics. Manufacturing is one of the most dynamic industries due to market pressures and continually changing customer demands. This study examines the relationship between business analytics competencies and digital innovation and explores the mediating role of absorptive capacity and firm agility. Data are collected from 493 managers of manufacturing firms and analyzed by using structural equation modeling through smart-PLS. Results reveal a positive relationship between business analytics competence and digital innovation mediated by absorptive capacity and firm agility. With its theoretical contributions, this study can initiate practical research outcomes in manufacturing firms.

数字创新本身不是一项技术，而是企业利用数字技术解决过时问题的能力。数字创新正在利用改进或创新技术来重新构想业务实践。2019年冠状病毒病对人们的身心健康产生了巨大影响。此外，这种流行病对全球经济产生了不利影响，从独资企业到跨国公司。然而，这样的影响并没有阻碍多样化的产品、服务和技术的升级版本。现代公司严重依赖可用数据集通过分析做出决策。由于市场压力和不断变化的客户需求，制造业是最具活力的行业之一。本研究考察了业务分析能力与数字创新之间的关系，并探讨了吸收能力和公司敏捷性的中介作用。从制造公司的 493 名经理那里收集数据，并通过 smart-PLS 使用结构方程建模进行分析。结果揭示了业务分析能力与由吸收能力和公司敏捷性介导的数字创新之间的正相关关系。凭借其理论贡献，本研究可以在制造企业中启动实际研究成果。结果揭示了业务分析能力与由吸收能力和公司敏捷性介导的数字创新之间的正相关关系。凭借其理论贡献，本研究可以在制造企业中启动实际研究成果。结果揭示了业务分析能力与由吸收能力和公司敏捷性介导的数字创新之间的正相关关系。凭借其理论贡献，本研究可以在制造企业中启动实际研究成果。