Absorptive capacity and relationship learning mechanisms as complementary drivers of green innovation performance

Gema Albort-Morant (Social Sciences Department, Centro Universitario San Isidoro, Sevilla, Spain)
Antonio L. Leal-Rodríguez (Department of Business Administration and Marketing, Universidad de Sevilla, Sevilla, Spain)
Valentina De Marchi (Department of Economics and Management, University of Padova, Padova, Italy)

Journal of Knowledge Management

ISSN: 1367-3270

Publication date: 12 March 2018

Abstract

Purpose

This paper aims to explore in depth how internal and external knowledge-based drivers actually affect the firms’ green innovation performance. Subsequently, this study analyzes the relationships between absorptive capacity (internal knowledge-based driver), relationship learning (external knowledge-based driver) and green innovation performance.

Design/methodology/approach

This study relies on a sample of 112 firms belonging to the Spanish automotive components manufacturing sector (ACMS) and uses partial least squares path modeling to test the hypotheses proposed.

Findings

The empirical results show that both absorptive capacity and relationship learning exert a significant positive effect on the dependent variable and that relationship learning moderates the link between absorptive capacity and green innovation performance.

Research limitations/implications

This paper presents some limitations with respect to the particular sector (i.e. the ACMS) and geographical context (Spain). For this reason, researchers must be thoughtful while generalizing these results to distinct scenarios.

Practical implications

Managers should devote more time and resources to reinforce their absorptive capacity as an important strategic tool to generate new knowledge and hence foster green innovation performance in manufacturing industries.

Social implications

The paper shows the importance of encouraging decision-makers to cultivate and rely on relationship learning mechanisms with their main stakeholders and to acquire the necessary information and knowledge that might be valuable in the maturity of green innovations.

Originality/value

This study proposes that relationship learning plays a moderating role in the relationship between absorptive capacity and green innovation performance.

Keywords

Acknowledgements

Corrigendum: It has come to the attention of the publisher that the article “Absorptive capacity and relationship learning mechanisms as complementary drivers of green innovation performance” by Gema Albort-Morant, Antonio L. Leal-Rodríguez and Valentina De Marchi, published in the Journal of Knowledge Management, Vol. 22 No. 2, pp. 432-452, did not fully attribute the following sources it has drawn upon: Ching‐Hsun Chang, Yu‐Shan Chen (2013), “Green organizational identity and green innovation”, Management Decision, Vol. 51 No. 5, pp. 1056-1070, https://doi.org/10.1108/MD-09-2011-0314, Antonio L. Leal-Rodríguez, José L. Roldán, “The moderating role of relational learning on the PACAP–RACAP link. A study in the Spanish automotive components manufacturing sector”, https://doi.org/10.1016/j.redee.2013.07.002) and Antonio Leal-Millan, Marta Peris-Ortiz, Antonio L. Leal-Rodríguez, “Sustainability in Innovation and Entrepreneurship, Policies and Practices for a World with Finite Resources”, https://doi.org/10.1007/978-3-319-57318-2. The authors are sorry for this and would like to take this opportunity to inform readers that the research within this article utilises data, and data sets, stemming from previous research conducted by some of the authors.

Citation

Albort-Morant, G., Leal-Rodríguez, A.L. and De Marchi, V. (2018), "Absorptive capacity and relationship learning mechanisms as complementary drivers of green innovation performance", Journal of Knowledge Management, Vol. 22 No. 2, pp. 432-452. https://doi.org/10.1108/JKM-07-2017-0310

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Publisher

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Emerald Publishing Limited

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