Purpose: The purpose of this study is to focus on analyzing how the set of green intangibles held by wineries and their members, i.e. green intellectual capital (GIC), affects green innovation performance (GIP). Specifically, the study aims to investigate how GIP is influenced by GIC through the mediating role of the variable knowledge management (KM) and corporate social responsibility (CSR).Design/methodology/approach: The study proposes a conceptual model, based on previous studies, which is tested through structural equations (PLS-SEM) with data collected from 202 Spanish wineries.Findings: The results of the research indicate that there is a positive and significant relationship between GIC and GIP. Furthermore, CSR and KM partially mediate the relationship between these two variables, playing a key role in the environmental management of wineries.Originality/value: The present research, therefore, contributes to the literature in several ways. First, the study advances the understanding of GIC as well as its link with GIP. Second, the research aims to fill the gap in the literature through the study of CSR and KM as mediating variables in such a link. Third, to the best of the authors’ knowledge, the model proposed has not been previously addressed in the academic literature, thus representing an advance in scientific knowledge. Fourthly, no research has addressed the study of environmental intangibles in the wine industry, with this research, therefore, being a pioneer in contextualizing the study of GIC in this increasingly knowledge-intensive industry.

Global environmental problems, such as global warming, pollution, or deforestation, are critical issues that require a rapid and common response. In this context, companies play a decisive role in achieving environmental objectives through the ecological knowledge they can store and manage. In this context, the present research focuses its interest on analyzing how the set of green intangibles possessed by organizations, i.e., Green Intellectual Capital (GIC), affects their Green Performance (GP). Specifically, the study shows how GP is influenced by GIC through the mediating role of the Green Innovation (GI) variable. Therefore, the research questions to be answered by this study are as follows: Does GIC influence environmental performance? Does GI mediate the GIC‐GP relationship? What actions can companies take to improve their GP? There are several reasons that have led us to carry out this research. First, there is little empirical evidence of the relationships proposed in this study. Second, to the best of our knowledge, there is no previous research that has contextualized the relationships raised in the wine industry, thus representing an advance in the comprehension of the constructs studied. Third, GIC represents an incipient field of study that needs to be developed and established within the literature linked to Intellectual Capital (IC). In order to achieve the proposed objectives, data from a survey of 202 wineries in Spain were used and a quantitative approach was followed using Structural Equation Modeling (PLS‐SEM). The results of the research indicate that there is a positive and significant relationship between GIC and GP. In addition, GI partially mediates the relationship between these two variables, playing a key role in the environmental management of wineries. The theoretical and practical contributions of the study improve the understanding of the relationships raised, being a pioneering study due to its contextualization in the wine industry, as well as providing a series of guidelines for both environmental managers and winemakers to improve their GP.

The purpose of this study is to analyze the existing literature on human resource management (HRM) from all the research papers published in The International Journal of Human Resource Management between 2000 and 2012. The authors apply bibliometric methods to identify the main research lines within this scientific field; in other words, its ‘intellectual structure’. Social network analysis is also used to perform a visualization of this structure. The results of the analysis allow us to define the different research lines or fronts which shape the intellectual structure of research on HRM.