Drawing upon resource-based theory (RBT) and social capital theory (SCT), this study examines how do multinational enterprises (MNEs) in the emerging markets (EMs) utilize strategic resources to drive innovation performance. We used a survey questionnaire to collect data from 352 supervisor-subordinate dyadic samples in the MNEs in the EMs. The data collected was analyzed using structural equation modeling (SEM) to examine the study's hypotheses. We found that knowledge-based HRM practices directly and indirectly through social capital influence knowledge sharing behaviors in the MNEs. Furthermore, the study's findings suggest that knowledge sharing mediates the influence of social capital on innovation performance. Moreover, this study empirically suggests how knowledge-based HRM practices through the mediating role of social capital and knowledge sharing on innovation performance. This study's essential contribution is to extend and enrich the RBT, SCT, HRM, knowledge, and innovation literature in the field.

PurposeThis paper analyzes the effect of circular economy practices on firm performance for a circular supply chain and explores the moderating role that big-data-driven supply chain plays within these relationships.Design/methodology/approachThis study uses data collected through an online survey distributed to managers of 378 Italian firms that have adopted circular economy principles. The data are processed using multiple regression analysis.FindingsThe results indicate that the three categories of circular economy practices investigated – namely circular economy supply chain management design, circular economy supply chain relationship management and circular economy HR management – play a crucial role in enhancing firm performance from a circular economy perspective. A big-data-driven supply chain acts as a moderator of the relationship between circular economy HR management and firm performance for a circular economy supply chain.Originality/valueThis study makes a number of original contributions to research on circular economy practices in a big-data-driven supply chain and provides useful insights for practitioners. First, it answers the call to capture digital transformation trends and to extend research on sustainability in supply chain management. Second, it enhances the literature by investigating the relationships between three different kinds of circular economy supply chain practices and firm performance. Finally, it clarifies the moderating role of big data in making decisions and implementing circular supply chain solutions to achieve better environmental, social and economic benefits.

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