International Journal of E-Adoption, 2(4), 1-14, October-December 2010 1 Copyright © 2010, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Keywords: Artifcial Neural Network, Knowledge, Knowledge Sharing, Knowledge Sharing Adoption Model, Technology Acceptance Model INTRODUCTION Knowledge is defined as human understanding of a specialized field of interest that has been acquired through study and experience (Awad & Ghaziri, 2004). Hence, sharing this knowledge cannot be over emphasized. However, Knowl- edge sharing can be termed as the process where Knowledge Sharing Adoption Model Based on Artifcial Neural Networks Olusegun Folorunso, University of Agriculture Abeokuta, Nigeria Rebecca O. Vincent, University of Agriculture Abeokuta, Nigeria Adewale Opeoluwa Ogunde, Redeemer’s University (RUN), Nigeria Benjamin Akintayo Agboola, University of Agriculture Abeokuta, Nigeria ABSTRACT Knowledge Sharing Adoption Model called (KSAM) was developed in this paper using Artifcial Neural Networks (ANN). It investigated students’ Perceived Usefulness and Benefts (PUB) of Knowledge Sharing among students of higher learning in Nigeria. The study was based on the defnition as well as on the con- stucts related to technology acceptance model (TAM). A survey was conducted using structured questionnaire administered among students and analysed with SPSS statistical tool; the results were evaluated using ANN. The KSAM includes six constucts that include Perceived Ease Of Sharing (PEOS), Perceived Usefulness and Benefts (PUB), Perceived Barriers for Sharing (PBS), External Cues to Share (ECS), Attitude Towards Sharing (ATT), and Behavioral Intention to Share (BIS). The result showed that Students’PUB must be raised in order to effectively increase the adoption of Knowledge Sharing in this domain. The paper also identifed a myriad of limitations in knowledge sharing and discovered that the utilization of KSAM using ANN is feasible. Findings from this study may form the bedrock on which further studies can be built. individuals mutually exchange their knowledge and jointly create new knowledge (Van den Hooff et al., 2003). It is defined as the process of exchanging knowledge (skills, experience, and understanding) among researchers, policy- makers, and service providers (Lily Tsui et al., 2006). It is expected that increase in sharing of valuable knowledge would have a positive effect on the organization’s performance. Un- DOI: 10.4018/jea.2010100101