Abstract: Disaster relief organizations are seen as one of the most knowledge-sharing intensive entities having substantial knowledge-sharing needs. Their effectiveness largely depends upon knowledge-sharing among organizational members. Lessons learnt from previous natural disasters and emergencies that have occurred globally, particularly in developing countries in the last few years, have shown that the practice of Social Media (SM) for Knowledge-Sharing (KS) is increasingly being used. It acts as a platform for knowledge-sharing between emergency responders, governments and non-governmental agencies, as well as disaster victims. Despite this, current research into the assessment of SM-based KS regarding behavioral intention to use it in the disaster relief context is, unfortunately, limited. Most of the studies are not empirical and there is a lack of theoretical foundation for guiding the intention to use SM-based KS in a disaster relief context. Therefore, it is important to assess employees of disaster relief use of the social media for knowledge-sharing in a disaster relief context. The main objective of this study is to investigate the factors influencing the intention to use SM-based KS in a disaster relief process. To achieve this objective, the factors which affect SM-based KS intentions were elicited through a systematic literature review (SLR) to identify the essential factors that influence relief organizations. This study developed a social media-based knowledge sharing intention model by combining the Technology Acceptance Model (TAM) and Theory of Planned Behavior (TPB) (C-TAM-TPB). This research applied a quantitative approach using the survey method. Based on a technique of purposive sampling, 235 questionnaires were distributed through the disaster relief staff of ten disaster relief organizations in Somalia, of which 214 were used for analysis. Data were evaluated using Partial Least Squares-Structural Equation Modelling (PLS-SEM) via Smart PLS 2.0 M3 Software. The results from hypotheses testing indicated that attitude, subjective norms, interpersonal trust, enjoyment in helping others and perceived behavioral control were the most significant drivers for using SM-based KS among the individual relief staff members. The prospect of organizational reward and perceived usefulness have resulted in insignificant relationships with SM-based KS entities regarding intention to use. The results of this study contribute to the body of knowledge by providing a model for IT managers, developers, policy makers and decision-makers to use it as a guideline for successfully assessing and evaluating the intention to use SM-based KS in the disaster relief organizations. This research model includes analysis of three dimensions for checking IS usability (perceived usefulness, ease of use and controllability) in relation to behavioral intention to use. Finally, this study provides recommendations to disaster relief managers who are considering enhancing the use of social media tools for knowledge-sharing within their organizations.