Digital Transformation Learning: The Value of Learning from the Digitalization of Traditional Industries Through Shared Digital Suppliers
研究提出数字化转型中心度（DTC）概念，衡量传统企业通过共享数字供应商获得的数字化学习收益与成本，发现DTC与企业价值呈倒U型关系，且创新产出和创新价值部分中介该效应。
While extant studies have investigated how digital industries influence the digital transformation of traditional firms, the impact of learning from the digitalization of traditional industries has been largely overlooked. This study addresses this gap by introducing the concept of digital transformation centrality (DTC) – a novel measure of the informational advantages and associated costs a firm accrues based on its position within a network of traditional firms interconnected through their shared digital suppliers. DTC captures a new type of IT spillover: digital suppliers accumulate digital transformation knowledge by serving traditional firms, and such knowledge then spills over to other traditional firms they serve. Using extensive longitudinal data on global supply chain relationships and firm fundamentals, we find that DTC has an inverted U-shaped relationship with firm value. This shows a non-monotonic impact of digital transformation learning from traditional industries. Moreover, we develop a curvilinear mediation model to uncover the underlying mechanisms, finding that the effect of DTC is partially mediated by both innovation output and the real value of innovations. These results demonstrate the essential roles of digital suppliers in both offering digital technologies and enabling the dissemination of digital transformation knowledge among traditional firms, and provide new insights for understanding digital transformation and IT spillover across industries.