in recent years ERP, as a comprehensive new system, has been used by many Malaysian companies. It has been successful in some and in some others it has failed. This article assesses 15 success factors and 8 failure factors in SME companies and tries to recognize the effective ones. The results show that the two most important failure factors in implementing ERP in Malaysian SMEs are 'poor planning or poor management ' and 'inappropriate training methods' and the most important success factors are ' Implementing team's teamwork and composition' and ' Effective training of users'. It could be conducted that team work is a key success factor in Malaysian SMEs and also training is of vital importance. As a result, by a sound investment and effective trainings we may guarantee the success of ERP in SMEs in Malaysia, failure to do so will lead to a defeat for ERP in Malaysian setting.

Nowadays, many companies are using Enterprise Resource Planning (ERP) as one of the comprehensive integrated systems. This study focuses on various aspects of the ERP utilized in Small and Medium Enterprises (SMEs) in Malaysia in three phases. The success and the failure factors of ERP in SMEs were identified in the first phase. A comparison between different ERP training methods was carried out in the second phase. Based on the findings in the first two phases, a new training method was developed in the third phase, so that ERP users may have a more effective ERP training system in the SMEs in Malaysia. The research method applied to the current research is case study in which the required data was collected from different SMEs in Malaysia. The data collection was mainly based on the surveys and interviews, and the results of the data analysis were used to improve a client-based training system. The achieved results indicate that the application of this kind of system which is based on a combination of On-the-job training and Computer-based training system would considerably reduce the time and money spent on learning and training plans, while, at the same time, it would increase the user's proficiency and knowledge concerning in the ERP system.

Training has been identified as one of the most important success factors in the implementation of ERP in Malaysian Small and Medium Enterprises (SMEs). If we do not pay due attention to training as if we fail to implemented training with proper methods, we will end in a failure for ERP application. This article has studied the different training methods of ERP in the Malaysian SMEs, and has identified the most important factors in training which are: the lecturer, on the job training (OJT), and computer -based training. This research, through interviews with the ERP users, has come up with a method which saves the learning time and reduces the training costs; it also increases the users' proficiency on the ERP system.

The cooperation becomes an important requirement in distributed Healthcare Information Systems (HISs). It is used to provide patients with a good and fast treatment. To achieve the cooperation feature, a fractal approach has been proposed by many researchers in different areas. Also, many approaches have been proposed in cooperative HISs to share patients’ information between different healthcare centres in order to provide a good treatment. However, most of these researches did not address the required improvement on physician skills and the possible enhancement on the healthcare services. This empirical study proposes a way to adjust fractal approach in HISs in order to improve the cooperation feature among physicians which may enhance both physician skills and healthcare services. The analysis of the collected data shows there are problems that associated with current system and therefore a set of requirements have been initiated. It has been found that there is a need to adapt the fractal features in current HIS environment.

The balance of human capital supply and industry demands are crucial to sustain a competitive advantage in order to ensure stability of economic growth. Unfortunately, companies often find it hard to recruit the right people. Many ideas obviously relate to connect human capital to education because human capital is created through education. In the education sector, there is a critical need to develop an effective planning mechanism to distribute the students into the most suitable area in the industry. In order to achieve this, the student's pathway needs to be planned systematically in school by identifying the student's streaming based on their academic performance. In this case, students who have the same performance will be grouped in the same cluster using a data mining technique. However, the problem is that, it is difficult to identify real potential for the students, because their performance is not well monitored, and current assessment systems do not support the student's academic planning activities. Besides, there is no specific technique used to group students into clusters based on their performance. This study aims to overcome the problem by grouping the students according to their performance using clustering techniques and to propose a suitable model. This study aims to overcome the problem by identifying a suitable clustering model that can be used to analysis an educational data. The data involves is student performance data. Based on the data, two clusters of students are created which is science and arts. A novelty in the method of study is the use of three clustering models and a comparison among them in order to find a suitable clustering model to be used with student academic performance data. The study was conducted in five schools in Malaysia to support students' grouping in two different academic streams, which are science and art. The result demonstrated the best model of clustering technique that is suitable for mining the educational data. Moreover, suitable streaming based on the students' performance and education policy was created from the results. It can be used to assist schools and students in determining the appropriate streaming for the students, and support for the human capital needs by the country in the future.

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There are many factors contributing to lack of collaboration which relates to teamwork and partnership in healthcare organization such as low awareness level in technology use, computer literacy, absence of e-health cloud, poor health information systems, decentralized systems, language barriers, difficulty to manage and control large amounts of data, work independently and time factor. Among medical staffs it is important to be able to share information and knowledge in patient treatments by having a better implementation of the electronic health cloud as service can improve and enhance the collaboration This research was conducted using mixed method approach combining observations, questionnaires and interviews used to determine the level of collaboration among medical staff in e-health cloud environment.

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