Utilizing a Bayesian network approach, this paper uncovers the probabilistic relationships between digital technologies (DTs) and environmental sustainability practices (ESs), aiming to identify specific portfolios of digital solutions that significantly contribute to environmentally friendly strategies of European firms. Data are from a sample of 10,583 European firms surveyed in 2020 through Flash Eurobarometer 486. Results reveal that the adoption of a “one instrument, one objective” approach highlights high‐speed infrastructure as optimal for recycling and waste reduction, while an approach involving “more instruments, joint scopes” demonstrates the highest probability of circular economy (CE) practices with specific combinations of DTs. Importantly, the paper contributes to illuminating the current representation of twin transition by assessing the effect of DTs by comparing conditional probabilities with marginal probabilities across a multitude of outcomes (optimal DTs and ES combinations), thereby offering implications for research, managerial practice, and policymaking.

中文翻译：

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关于数字化和环境可持续性实践的贝叶斯见解。迈向欧盟的双重转型


本文利用贝叶斯网络方法，揭示了数字技术 （DT） 和环境可持续性实践 （ES） 之间的概率关系，旨在确定对欧洲公司的环保战略做出重大贡献的特定数字解决方案组合。数据来自 2020 年通过 Flash Eurobarometer 486 调查的 10,583 家欧洲公司的样本。结果表明，采用“一种工具，一个目标”的方法突出了高速基础设施是回收和减少废物的最佳选择，而涉及“更多工具，联合范围”的方法表明，具有特定 DT 组合的循环经济 （CE） 实践的可能性最高。重要的是，本文通过比较条件概率来评估 DT 的影响，有助于阐明孪生转变的当前表示在多种结果（最佳 DT 和 ES 组合）中具有边际概率，从而为研究、管理实践和政策制定提供启示。