PurposeThe objective of this research is to have an up-to-date and comprehensive assessment of the current knowledge regarding the variables that encourage the individuals, within the academic community, to get involved in knowledge exploitation activities. It is influenced by the observation that there is a need for more systematic scrutiny of micro-level processes to deepen our understanding of academic entrepreneurship (Balven et al., 2018; Wright and Phan, 2018). The study proposes to answer to ‘What are the drivers of academic entrepreneurial intentions?’ and ‘What are the emerging topics for future research?’Design/methodology/approachThe paper follows a Systematic Literature Review process (Tranfield et al., 2003) and adopts a four-step process format from previous literature reviews within the entrepreneurship context (Miller et al., 2018). From the results within Scopus and Web of Science databases, this research selected, evaluated, summarised and synthesised 66 relevant papers.FindingsThis study provides a factor-listed representation of the individual, organisational and institutional variables that should be considered in the strategies defined by the university. Moreover, the study concludes that the push factors behind the intentions are multiple, context-dependent, hierarchy-dependent, heterogeneous and, at the same time, dependent on each other and against each other. Lastly, the study contributes to academic entrepreneurship literature, especially entrepreneurial intention literature, which has recently received more researchers' attention.Originality/valueThe study corroborates that the individual factors, directly and indirectly via Theory of Planned Behaviour, strongly impact the academics' intentions. While the focus of the papers under review was an in-depth analysis of a selected group of factors, this SLR sought to compile the factors that were identified and provide a broader picture of all those factors to be considered by the university management. It contributes to the identification and clustering of the drivers that encourage academics to engage in knowledge valorisation activities, differentiating them by activity. For the practitioners, this list can be used by university managers, TTOs and department managers, and policymakers to guide questionnaires or interviews to analyse their academics' intentions and adequately support its academic engagement strategy. Lastly, this study also suggests worthwhile avenues for future research.