How enterprise interactions in innovation networks affect technological innovation performance: The role of technological innovation capacity and absorptive capacity

Abstract

Current research on the impact of innovation networks focuses on the web and inter-organizational layers, with less consideration of individual behavior at the firm level. Interaction is an active action strategy that firms take when dealing with the external environment. Therefore, this study explores the mechanism of enterprise interaction on innovation development from the perspective of an innovation network. And measures enterprise interaction in three dimensions: affective interaction, resource interaction, and management interaction. The empirical results indicate that the three dimensions of enterprise interaction contribute significantly to technological innovation performance, and the realization of this role requires technological innovation capabilities (technological research and development capabilities, technological commercialization capabilities) to play a partially mediating role. The moderating effect of absorptive capacity between resource interaction, management interaction, and technological innovation capability is significant; however, the moderating effect between affective interaction and technological innovation capability is statistically insignificant. This study promotes the development of interaction theory to a certain extent, which helps enterprises build appropriate industrial chains in innovation networks and achieve rapid development.

Synergistic Relationship, Agent Interaction, and Knowledge Coupling: Driving Innovation in Intelligent Construction Technology

“…AI is categorized into two main aspects: SI and WI. The scale for WI in this study was adapted from Fan, M.'s research scale [28] on inter-company interactions. In summary, this study resulted in the development of four scale items for SI and four scale items for WI.…”

“…[91], and Li, T. [10] on intelligent construction. Drawing on Fan, M.'s scale [28] on technological innovation, five scale items were employed to measure the level of IICT.…”

“…The interaction mechanism is the key to the development of synergistic innovation in ICT, which is also reflected in the mixed evidence from current research [26][27][28]. AI can bring all kinds of innovation agents of ICT into the synergistic system, form a fit by association, change the discrete innovation situation of scattered and independent agents, and then form a close cooperation mechanism, a suitable learning organization, and an overall innovation model.…”

“…In the process of adopting, absorbing, and applying ICT, interactive relationships are formed to promote the flow and aggregation of various types of innovative resources, achieve synergistic advantages and efficient innovation output, and unleash the synergy of IICT. These mixed shreds of evidence also lead to an ongoing debate [28] on what intensity of AI should be used to promote technological innovation under different SRs.…”