Abstract
This study aims to determine the requirements for knowledge sharing systems (KSS) in academic institutions (AI). Using a mixed methods approach, the study proposes a knowledge sharing system requirement framework (KSSRF) which could be used as a guide for AIs to develop their KSS. The requirements framework was developed after studying the knowledge sharing behavior (KSB) of academician end users in a public AI. Both quantitative and qualitative analyses were used to extract and describe findings. The research contributes to the KSS field through the development of a KSSRF which draws upon both quantitative and qualitative findings. AI administrators could employ the proposed framework as a guide for KS activities among academicians in their own institutions.