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Network embeddedness and manufacturing SMEs’ green innovation performance: the moderating role of resource orchestration capability

Xiongbiao Xie (China University of Geosciences, Wuhan, China)
Jingke Sun (China University of Geosciences, Wuhan, China)
Min Zhou (China University of Geosciences, Wuhan, China)
Liang Yan (China University of Geosciences, Wuhan, China)
Maomao Chi (China University of Geosciences, Wuhan, China)

Business Process Management Journal

ISSN: 1463-7154

Article publication date: 30 April 2024

93

Abstract

Purpose

With technological innovation elements and the competitive market environment becoming increasingly complex, numerous firms utilize network embeddedness to achieve and sustain innovation. However, empirical research has not conclusively established which form of network embeddedness more effectively facilitates corporate innovation. Drawing on the heterogeneous network resources perspective, this study explores the impact of market network embeddedness, technology network embeddedness and their synergy on the green innovation performance of manufacturing small and medium-sized enterprises (SMEs). Furthermore, it investigates the moderating role of resource orchestration capability in these relationships.

Design/methodology/approach

Through an online questionnaire survey of Chinese manufacturing SMEs, 293 sample data were collected, and the hierarchical regression analysis was conducted to test the hypothesis.

Findings

The results indicate that market and technology network embeddedness significantly enhance green innovation performance, with the former exerting a more significant impact. Furthermore, the synergy between market and technology network embeddedness positively influences green innovation performance. Additionally, resource orchestration capability strengthens the positive effects of both market and technology network embeddedness on green innovation performance, while the moderating effect of resource orchestration capability on the relationship between the synergy of the two and green innovation performance was insignificant.

Research limitations/implications

The study faced many limitations, such as collecting primary data, which relied on a questionnaire only, using cross-sectional data and examining only manufacturing SMEs.

Originality/value

Based on the heterogeneous network resources perspective and integrating social network theory and resource orchestration theory, this study explores the impact of network embeddedness on the green innovation performance of manufacturing SMEs, which sheds new light on the network embeddedness research framework and also enriches the antecedents of green innovation. In addition, this study provides implications on how manufacturing SMEs effectively utilize network embeddedness and resource orchestration capability to enhance green innovation performance.

Keywords

Citation

Xie, X., Sun, J., Zhou, M., Yan, L. and Chi, M. (2024), "Network embeddedness and manufacturing SMEs’ green innovation performance: the moderating role of resource orchestration capability", Business Process Management Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/BPMJ-08-2023-0676

Publisher

:

Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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