Purpose: Entrepreneurial knowledge spurs innovation and, in turn, generates a competitive advantage. This paper aims to explore if entrepreneurial knowledge combined with the attitude to innovate can overcome the key “imperfections” of the innovation process generated by dynamic, current...

Purpose: Through the human resources (HR) and knowledge management (KM) perspective as human-centric processes, the aim of this study is to explore how companies’ engagement in diversity (DIV), inclusion (INC) and people empowerment (PEMP) policies influences companies’ organizational...

Purpose: Structural equation modelling (SEM) has been defined as the combination of latent variables and structural relationships. The partial least squares SEM (PLS-SEM) is used to estimate complex cause-effect relationship models with latent variables as the most salient research methods...

Purpose: Nowadays, the agri-food sector is facing several challenges due to a rapid technological change which calls for knowledge sharing (KS) practices to enhance businesses’ performance. This has spurred a collaborative approach and the creation of networks. Since there still is a paucity...

Purpose: The purpose of this study is to explore the role of continuous learning and the mitigation or elimination of knowledge barriers affecting information technology (IT) assimilation in the health-care sector. Most of the problems with IT assimilations stem from a poor understanding of the...

Purpose: This paper aims to investigate the potential of knowledge management (KM) as a discipline in helping understand and manage social and economic complexity. The paper highlights some of the potential relationships between KM in organisations and their economic performance. Finally, the...

Purpose: Effectively handling knowledge is crucial for any organization to survive and prosper in the turbulent environments of the modern era. Leadership is a central element for knowledge creation, acquisition, utilization and integration processes. Based on these considerations, this study...

Purpose: Designing knowledge management (KM) systems capable of transforming big data into information characterised by strategic value is a major challenge faced nowadays by firms in almost all industries. However, in the managerial field, big data is now mainly used to support operational...