Knowledge sharing (KS) behavior is one of the main drivers to generate social sustainability. It predicts high organizational performance and innovation capabilities, and creates enjoyment and happiness in helping others. Even if incentives to enhance KS behaviors exist, employees would still be reluctant to share knowledge. For this reason, we test a comprehensive model of sustainable human resource management with the inclusion of KS to explain how to enhance collaborative practices in terms of voluntary knowledge sharing. In a comprehensive model, we incorporate organizational justice, employee perceived organizational support, job satisfaction and affective organizational commitment, and how they relate in order to generate knowledge sharing behavior. Using a sample of 1350 employees working for multinational firms operating in Spain, the present research obtains two main results. First, organizational justice, employee perceived organizational support and affective organizational commitment are positively related with KS. Second, employee perceived organizational support, job satisfaction and affective organizational commitment play a mediating role between organizational justice and KS, which reinforces the positive relationship between both constructs. Consequently, employees would be more willing to cooperate and share in fair organizational contexts, especially when they are satisfied and affectively committed, and when their contributions are valued and recognized. Finally, we discuss human resource management’s (HRM) practical interventions and recommendations for future research on sustainable organizations.

The adoption of new innovative ecosystems linked to Industry 4.0 (I4.0) in industrial firms has created new opportunities for performance. In this study, we investigate whether I4.0 can reinforce environmental asset management in achieving firm economic and social performance. We intend to contrast the existence of I4.0‐based reward mechanisms for being green. Using a panel of 1028 Spanish industrial firms in 2009–2016 period and a partial least squares structural equation modelling econometric methodology, the research has obtained two main results. First, the management of environmental assets generates positive effects on the economic and social performance of the industrial firm. Second, research findings confirm the mediating role of I4.0, which ends up reinforcing the relationship between environmental assets and the economic and social firm performance. The results obtained highlight the importance of complementary relationships between digital and environmental transformation to promote firm performance. Implications for firm strategy and business models are also discussed.

The study of prosocial organizational behaviors has been receiving increasing attention, due to their relevant contribution to sustainable organizational and personal development. This research proposes and tests a model that tackles the factors that drive two unrewarding extra-role behaviors of individual or organizational citizenship, altruism, and civic virtue, and assesses multiple mediation relationships. The sample data are derived from a questionnaire survey of 1350 Spanish workers and were analyzed using partial least squares structural equations modelling. Research findings reflect the mediating role of knowledge sharing behavior in the relationship between affective commitment and altruism. Moreover, a significant relationship was found between affective commitment and civic virtue, which is stronger under the mediating role of knowledge sharing behavior. Finally, affective commitment plays a mediating role in the relationship between perceived organizational support and knowledge sharing behavior. Implications for sustainable human resource management, practical interventions, and future research recommendations are provided.

The lack of blood donors is a global problem that prevents the demand for blood prompted by an ageing population and increased life expectancy from being met. The aim of this study was to conduct an initial exploration of the reasons for using digital platforms in blood donation. Using a Theory of Planned Behaviour (TPB) framework, microdata for 389 participants from Latin American countries and Spain, and Partial Least Square-Structural Equation Modelling (PLS-SEM), the study obtained three main prediction paths. The first two started from feelings of trust in the digital community and a positive mood state associated with a modern lifestyle, and they were linked to attitudes and behavioural control in the explanation of the intention to donate and actual blood donation. The third path started from modern lifestyles, and was linked to the subjective norm in the prediction of intention and actual donation. These paths represent one of the very first attempts to predict intentions of donation and collaborative donation by taking a PLS-SEM approach. By determining the paths underpinning collaborative blood donors’ motives, the results of this study provide strong support for the usefulness of the TPB model within the context of digital platform use and blood donation.