Servitization of Manufacturing, R&D Innovation Input and Enterprise Performance: An Empirical Research Based on Technology-intensive Enterprises

Abstract

Abstract: Servitization is an important way for manufacturing enterprises to transform, upgrade and increase value. R&D innovation input helps enterprises to upgrade their product technologies and value chain. This research selects the panel data of Chinese technology-intensive manufacturing enterprises listed in the period between 2013 and 2019 to study the relationship between servitization of manufacturing, R&D innovation input and enterprise performance. The results show that servitization of manufacturing and enterprise performance are in an inverted U-shaped relationship. R&D innovation input is positively correlated with enterprise performance. R&D innovation input plays a positive moderating role in the relationship between servitization and enterprise performance. Further analyses find that the service paradox inflection point appears when the servitization degree is about 0.47, but R&D innovation input can delay the arrival of service paradox. Compared with the state-owned enterprises, the service paradox inflection point of private enterprises lags further behind, but R&D innovation input has a better effect of alleviating the service paradox of state-owned enterprises. Based on the prediction of non-seasonal Holt-Winters addition index model, it can be found that there will be no service paradox in China in the short term. The research results reveal that servitization and R&D innovation input are an important channel for the high-quality development of manufacturing enterprises, which can broaden and enrich the research perspective for improving the value creation ability of manufacturing enterprises.

Key words: servitization of manufacturing, R&D innovation input, enterprise performance, technology-intensive

Luo Jianqiang, Pan Rongrong, Yang Zichao. Servitization of Manufacturing, R&D Innovation Input and Enterprise Performance: An Empirical Research Based on Technology-intensive Enterprises[J]. Management Review, 2023, 35(2): 116-125.

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