摘要
企业数字化转型是数字中国建设中的重要组成部分,如何有效配置能力推动数字化转型升级是有待回答的重要问题。本文立足高管和组织层面能力视角,以中国沪深A股上市108家物流企业为样本,运用必要条件分析法与模糊集定性比较分析法,探究高管领导能力(高管社会资本、高管人力资本、高管认知)和组织成长能力(创新能力、吸收能力、适应能力)对企业数字化转型的影响。研究发现:单个能力并非是企业数字化转型的必要条件,但提高吸收能力对高水平数字化转型起到普适的作用;实现高水平数字化转型的充分条件是不同能力的协同匹配,但不要求每个能力均处于高水平状态;存在3条高水平数字化转型组态路径(S1a、S1b、S2)和3条非高水平数字化转型组态路径(NS1、NS2、NS3),且高水平与非高水平的数字化转型路径是非对称关系。
Enterprise digital transformation is an important part of the construction of digital China.The effective configura⁃tion of capabilities to promote digital transformation and upgrading is a significant issue that needs to be addressed.The study inves⁃tigates the impact of executive leadership capabilities(executive social capital,executive human capital and executive cognition)and organizational growth capabilities(innovative capability,absorptive capability and adaptive capacity)on the digital transfor⁃mation of enterprises.For this purpose,the study employs the necessary condition analysis and fuzzy set qualitative comparative a⁃nalysis and takes 108 logistics firms listed on Shanghai and Shenzhen A-shares as samples.The findings of the study are as follows:first,while individual competencies are not essential for enterprise digital transformation,improvement in absorptive capacity is crucial for achieving high-level digital transformation.Second,synergistic matching of different competencies is a sufficient condi⁃tion for achieving high-level transformation,but it is not necessary for each competency to be at a high level.Third,the study i⁃dentifies three high-level digital transformation configuration paths(S1a,S1b,S2)and three non-high-level digital transforma⁃tion paths(NS1,NS2,NS3).Furthermore,the high-level and non-high-level digital transformation paths are asymmetric.
作者
李梅芳
黄美仪
Li Meifang;Huang Meiyi(School of Economy and Management,Fuzhou University,Fuzhou 350108,China)
出处
《工业技术经济》
北大核心
2024年第1期152-160,共9页
Journal of Industrial Technological Economics
基金
国家社会科学基金项目“知识技能型共享经济双边参与行为研究”(项目编号:19BGL041)。
关键词
数字化转型
高管能力
组织能力
物流企业
组态效应
模糊集定性比较分析
digital transformation
executive capacity
organizational capacity
logistics companies
configuration effect
fuzzy set qualitative comparative analysis