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Nonlinear relationship between innovation input and intelligent manufacturing from an absorptive capacity perspective
Zhaocheng Xu1, Xuejia Shan2, Ruiqi Pan2
1Business School, Shanghai DianJi University, Shanghai, 201306, China. xuzc@sdju.edu.cn.
Scientific Reports
|February 4, 2026
Summary
Innovation input impacts intelligent manufacturing with an inverted U-shaped relationship. Digital transformation and organizational redundancy enhance this effect, while dynamic capabilities mediate the process for manufacturing firms.
Area of Science:
- Manufacturing Technology
- Innovation Management
- Business Strategy
Background:
- Intelligent manufacturing is a key research area, but its drivers require further elucidation.
- Understanding the innovation input's role is crucial for advancing intelligent manufacturing.
- Existing research needs to explore the internal mechanisms linking innovation to intelligent manufacturing.
Purpose of the Study:
- To investigate the impact of innovation input on intelligent manufacturing.
- To analyze the moderating effects of digital transformation, property rights, and organizational redundancy.
- To examine the mediating role of dynamic capabilities in this relationship.
Main Methods:
- Empirical analysis using data from Chinese listed manufacturing companies (2008-2022).
- Investigated the inverted U-shaped relationship between innovation input and intelligent manufacturing.
- Assessed moderating and mediating factors, including digital transformation and dynamic capabilities.
Main Results:
- An inverted U-shaped relationship exists between innovation input and intelligent manufacturing.
- Digital transformation and organizational redundancy positively moderate the relationship.
- Non-state-owned enterprises show a stronger positive effect than state-owned enterprises; dynamic capabilities mediate the process.
Conclusions:
- Innovation input, when optimized, drives intelligent manufacturing, with dynamic capabilities as a key mediator.
- Digital transformation and organizational redundancy are crucial for maximizing innovation's impact.
- Findings offer theoretical insights and practical guidance for enhancing intelligent manufacturing capabilities.
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