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This study aims to identify various factors that have driven the knowledge transfer process for succession purposes in family business since the 1920s and discuss their implications for advancing effective succession planning in this business sector for the next 100 years.

The paper reviews and synthesizes current research on knowledge transfer drivers in family business from 1923 to 2023 and draws out future perspectives on what will influence the knowledge-transferring process in the next 100 years.

Trust, organizational culture and environmental factors such as the need to create competitive advantages, technological advancement and new sources of knowledge have been identified as the most prominent drivers of knowledge transfer for effective succession in family business throughout the 1920–2020s. In the future, the ability to create value, the internationalization process and business innovations will play an essential role in knowledge-sharing among family and non-family members during succession.

The paper provides a review of past development and a future perspective on factors enhancing the effectiveness of knowledge transfer for succession in family firms.

Drawing upon the resource-based view of the firm, this paper aims to develop and empirically validate a model that examines the relationships between technical knowledge management infrastructure (TKMI), social KM infrastructure (SKMI) and competitive advantage provided by KM (CAPKM). The authors argue that KM process capabilities account for the direct effects of TKMI and SKMI on CAPKM.

The study used partial least squares —structural equating modelling (SEM) to empirically test the hypotheses using a sample of 251 firms from an emerging economy. The results were then confirmed using the bias-corrected bootstrap procedure. The study also conducted two robustness checks including examining a competing moderation model and performing fuzzy-set qualitative comparative analysis (fsQCA), a set–theoretic method that examines how causal conditions combine into all possible configurations of binary states to explain the desired outcome.

The findings show that TKMI and SKMI have positive effects on CAPKM. In addition, KM process capabilities mediate the direct effects of TKMI and SKMI on CAPKM.

This paper complements and advances previous research in several ways. Firstly, the paper develops a conceptual model that depicts the interrelationships between TKMI, SKMI, KM process capabilities and CAPKM. Secondly, this paper suggests the critical role of the “action” component (i.e. KM process capabilities) that capitalises on the KM resources in the creation of CAPKM.