Abstract: Existing research emphasizes the important role of data resources, but lacks a discussion on how to integrate data resources to enable product innovation performance. Following the analysis logic of “condition-behavior-outcome”, this paper explores how calculative and relational inter-organizational trust enable product innovation performance through the two ways of data resources integration including stabilizing and pioneering. Using the questionnaire data of 222 manufacturing enterprises in the two-time survey in South China areas, we use PLS-SEM (Partial Least Squares-Structural Equation Modeling) tool to conduct the empirical test, and draw the following conclusions: (1) Calculative inter-organizational trust can enable product innovation performance through the two ways of data resources integration including stabilizing and pioneering; (2) Relational inter-organizational trust has a nonlinear mediating relationship with product innovation performance through two data resource integration ways, stabilizing and pioneering, that is, moderate relational trust can improve product innovation performance through two data resource integration ways, but too high relational trust cannot improve product innovation performance via two data resource integration ways; (3) There is an interactive effect between the two ways of integrating data resources (stabilizing and pioneering) on product innovation performance. When enterprises improve the two ways of data resources integration simultaneously affected by calculative and relational inter-organizational trust, they can better enable product innovation performance. The study responds to the important question that how manufacturing enterprises integrate data resources and exert the value of data elements, providing important enlightenment for emphasizing data resources integration to enable the high-quality development of enterprises.

摘要： 现有研究强调了数据资源要素的重要作用，但缺乏探讨如何整合数据资源以赋能产品创新绩效。遵循“条件-行为-结果”的分析思路，研究基于信任视角，探究组织间计算型（理性）与关系型（感性）信任如何通过稳定调整型、开拓创造型两种数据资源整合方式赋能产品创新绩效。利用华南地区两时点调查的222家制造业企业问卷数据，研究采用PLS-SEM工具进行实证检验，得出以下结论：（1）计算型信任分别能够通过稳定调整型、开拓创造型两种数据资源整合方式赋能产品创新绩效；（2）关系型信任通过稳定调整型、开拓创造型两种数据资源整合方式与产品创新绩效存在非线性中介作用关系，即适度的关系型信任能够分别通过两种数据资源整合方式提升产品创新绩效，但是过高的关系型信任则无法通过两种数据资源整合方式提升产品创新绩效；（3）稳定调整（“拿来主义”）与开拓创造（“二次创新”）两种数据资源整合方式对于产品创新绩效的影响存在交互效应，当企业通过计算型、关系型信任同时提高两种数据资源时，能够更好地赋能产品创新绩效。研究回应了制造业企业如何进行数据资源整合发挥数据要素价值的重要问题，能够为充分发挥数据作用赋能企业高质量发展提供重要启示。