关键词: 数据资源, 制造企业服务化, 数据资源识别获取, 数据资源转化利用

Abstract: Unlocking the value of data elements remains an important yet underexplored issue. Existing research on promoting servitization in manufacturing enterprises has largely focused on “digital technologies,” often overlooking the critical role of “data resources.” This study, based on a three-dimensional framework of data resource integration, proposes a “one primary and two secondary effects” logic. It investigates how the identification and acquisition of scientific, market, and supply chain data resources drive servitization through the stable-adjustment and exploratory-creative transformation of data resources (the “primary effect). Additionally, it explores how factors at the ideological, supportive, and operational levels combine to influence the conditions for servitization (the “secondary effects”). Using a mixed-method approach of PLS-SEM and fsQCA, the empirical findings reveal the following: (1) Scientific-type data resource acquisition enhance servitization through pioneering-type data resource utilization, but a nonlinear mediation effect exists when using stabilizing-type utilization. (2) Market data resource acquisition boost servitization via both stabilizing-type and pioneering-type data resource utilization. (3) Supply chain data resource acquisition promote servitization through stabilizing-type data resource utilization, though a nonlinear mediation effect is found with pioneering-type data resource utilization. (4) Three distinct configurations lead to high-level servitization: “all six conditions present,” “six conditions present with one missing,” and “all seven conditions present.” These findings contribute to the literature on both the antecedents of servitization in manufacturing enterprises and the realization of data resource value.

Key words: Data resources, Servitization, Data resource acquisition, Data resource utilization