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.