By sharing knowledge, organizations are able to enhance their efficacy, decrease cost of training and moderate risks due to lack of certainty. In the age of knowledge, find a way to motivate employee for sharing knowledge with others is the most difficult issue in term of managing knowledge. Therefore, factors influencing knowledge sharing are particularly vital. This paper was conducted to encompass understanding of the trust and motivational factors that influence knowledge sharing behavior in organizations. It is important that no known study examined the influence of motivational factors onto knowledge sharing behavior through trust as a moderator. In this research we proposed a theoretical framework that combined motivational factors with Theory of Reason Action (TRA) to describe the relations among two types of motivation (extrinsic and intrinsic), trust and worker's intentions and attitudes toward knowledge sharing.

Using Electronic Medical Records (EMRs) has a great possibility for rising physician's performance in their daily work which improves quality, safety and efficiency in healthcare that are slowly being adopted throughout the world. The adoption of EMRs as a new technology in healthcare system is an important issue which has to be scrutinized as well. In physician practices, the rate of EMRs adoption has been slow and restricted in spite of the cost savings through lower administrative costs and medical errors related to EMR systems. Hence, this research is conducted to identify, categorize, and analyze Meso-level dimension which introduced by [27], for the adoption of EMRs in the healthcare context. To collect data, Likert-based and pairwise questionnaires were designed and distributed among the public experts and physicians healthcare organizations. Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS) and Fuzzy Analytic Hierarchy Process (F-AHP) was applied involves in quantitative approach in the ranking and weighting of the factors presented in Meso-level dimension framework. As a result, in this study, we develop a Multi Criteria Decision Making (MCDM) framework for healthcare industry improvement and adoption of EMR. The purpose of ranking and weighting using the F-TOPSIS and F-AHP is to inspect which factors are most imperative in EMRs adoption among primary care physicians. Performing F-TOPSIS and F-AHP is as novelty methods in this study for identifying the critical factors of EMRs adoption to assist healthcare organizations specifically hospitals setting in pursuing their key users' behavior towards accepting of this new technology. We find that seven factors, namely time investment, screen/room, hybrid system, planning, resource training, workflow, and weight, are the most influential criteria and strongest drivers in the adoption of EMR in Malaysia's primary care setting.

Electronic Medical Record (EMR) has been introduced into healthcare organizations in order to incorporate better use of technology, to aid decision making and to facilitate searching for a medical solution. The EMR is an Information Technology (IT) tool supporting the examination, treatment and care of patients. Low adoption of the EMR persists despite the obvious benefits of centralized medical record management. The rate of EMR implementation among physician practices has been slow and limited. This needs those professionals in healthcare organizations to be in the process of changing from the use of paper to maintain medical records into computerized medical record keeping opportunities. The critical users are physicians, which play an important role in success of Health Information Technology (HIT) including EMR. Hence, study regarding individual level of adoption in EMR should be done to understand more about this issue. Hence, the objective of this paper is to finding out the imperative factors in affecting EMR adoption. The macro-level framework evaluated based on Fuzzy Analytic Hierarchy Process (F-AHP). Basically, surveys distributed to physicians who has experienced with using EMR technology in three Malaysian public hospitals. Findings showed the most important factors and sub-factors in macro-level context related to adoption of EMR. The results of F-AHP showed that the most important factors are Socio-pol-economic trends and HIS standards and the most important sub-factors are economic trends, standardized data, and political trends.