Environmental uncertainty, resource orchestration and digital transformation: A fuzzy-set QCA approach
研究通过模糊集定性比较分析中国企业的数据，发现数字化转型由环境不确定性与资源编排的多种组合驱动，而非单一因素，为管理者提供了不同路径实现高或非高数字成熟度的启示。
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.