编配
数字化转型
转化(遗传学)
定性比较分析
资源(消歧)
计算机科学
集合(抽象数据类型)
模糊逻辑
模糊集
知识管理
过程管理
产业组织
业务
工业工程
人工智能
工程类
万维网
视觉艺术
艺术
化学
机器学习
基因
程序设计语言
生物化学
计算机网络
音乐剧
作者
Chen Han-song,Zhen Tian
标识
DOI:10.1016/j.jbusres.2021.09.048
摘要
Digital transformation is essential if enterprises are to obtain a competitive advantage in the digital economy. However, successful transformation is a problem for both academia and industry. The literature mainly focuses on the net effects of single factors. Instead, we develop a configurational framework and propose that digital transformation does not depend on a single condition, but on interactions between environmental uncertainty and resource orchestration. Based on a fuzzy-set qualitative comparative analysis of Chinese enterprises undergoing digital transformation, we identify and explore five conditions that influence digital transformation. We show that both high and not-high levels of digital maturity can be achieved through different configurations of antecedents. There also exists a significant effect of technical uncertainty as well as synergy between environmental uncertainty and resource orchestration, which can jointly promote digital transformation. These findings enrich the literature on digital transformation and provide implications for the transformation of enterprises.
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