大数据资源对制造企业数字化转型绩效的影响研究  

Research on the impact of big data resources on the digitaltransformation performance of manufacturing enterprises

作　　者：马鸿佳[1] 王亚婧 MA Hong-jia;WANG Ya-jing(School of Business and Management,Jilin University,Changchun 130012,China)

机构地区：[1]吉林大学商学与管理学院,吉林长春130012

出　　处：《科学学研究》2024年第1期146-157,182,共13页Studies in Science of Science

基　　金：国家自然科学基金面上项目(71972084);国家自然科学基金重大项目(72091315);吉林大学创新团队项目(2022CXTD10)。

摘　　要：数字经济时代下,制造企业利用大数据资源促进数字化转型已经成为必然选择,并逐渐成为研究热点。本文运用Mplus8.0软件通过结构方程模型方法(SEM),以427家制造企业为样本,结合动态能力理论和组织惯例理论,对制造企业大数据资源、数字动态能力、组织惯例更新与数字化转型绩效之间的影响展开研究。实证结果表明:大数据资源、数字动态能力的3个子维度:数字感知能力、数字利用能力和数字重构能力以及组织惯例更新都正向影响数字化转型绩效;数字利用能力、数字重构能力和组织惯例更新分别对大数据资源与数字化转型绩效关系具有中介效应;数字动态能力和组织惯例更新对大数据资源与数字化转型绩效关系具有链式中介效应。本文将在理论上拓展数字化情境下大数据资源对数字化转型绩效的影响研究,推动从动态能力理论和组织惯例理论研究数字化转型的理论探索;在实践上有助于指导制造企业在动态环境下借助大数据资源,提升数字动态能力,加快组织惯例更新,进而实现数字化转型。Digital transformation is the inevitable trend of the survival and development of manufacturing enterprises in the era of industry 4.0.In recent years,Chinese enterprises have been actively exploring the road of digital transformation,especially under the impact of the novel coronavirus pandemic,have accelerated the process of digital transformation.However,the overall digital transformation performance of Chinese enterprises is not satisfactory.According to the resource-based theory,the different competitive advantages and performance of enterprises depend on how they use resources to form unique core competence,thus influencing organizational behavior to improve performance.Specifically,by analyzing and utilizing big data resources,enterprises can more comprehensively and deeply capture the market environment and the potential demand of consumers.Although big data resources provide opportunities for enterprises'digital transformation,how to use big data resources to improve the performance of digital transformation is still a challenge.Although scholars have done some research on big data resources and digital transformation,there are still some shortcomings in the current research results.First,the intermediate mechanism of the impact of the lack of big data resources on the performance of digital transformation;The second is the lack of research on the impact of organizational change in the process of digital transformation.Based on this,this study combines dynamic capability theory and organizational convention theory,and based on the practical background of manufacturing enterprises'digital transformation,builds a theoretical model of"big data resource-digital dynamic capability-organizational convention renewal - digital transformation performance" , carries out an empirical study on the relationship between thefour, and further defines the influence mechanism of big data resources on digital transformation performance.In this study, the questionnaire Star platform was selected for investigation, the indus

关 键 词：大数据资源 数字动态能力 组织惯例更新 数字化转型 

分 类 号：F49[经济管理—产业经济]