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At university level, students are encouraged and expectant to create an entrepreneurial culture where they need to experience on how to operate the business inside the campus. This was also to aid the university in producing graduates who can help meet the government’s aspiration of turning Malaysia into a high-income country. Therefore, students are played a significant role as a novice entrepreneur in order to accomplish Vision of 2020. Generally, we have seen some of the research highlights the importance of entrepreneurship education, the effectiveness of entrepreneurship training and also seen the entrepreneurship has been taught in the class but unlikely, they do not fully utilized the given knowledge to practice it. The objectives of this paper is to identify the barriers faced by students for various departments to start-up the business at the IPTA’s in northern region that concise of three variables; personality traits, entrepreneurial skills and micro level. The target population of this study is all students in higher institutions in northern region including UiTM Kedah, UiTM Pulau Pinang, UiTM Perlis, UiTM Perak, USM, UNIMAP and UUM. The expected outcome is to expose a student on how to start-up the business and experiencing the challenges of entrepreneurial environment

Social networking is an important strategy for eCommerce businesses. The study will determine the requirements that must be completed before customers visit an e-commerce website, particularly for the electronic and media sectors. The main contribution of this paper is a conceptual model for the social adoption of factors impacting e-commerce websites by proposing a conceptual model for social adoption model using social media channels. This study will determine what factors must be present in order for customers to visit an ecommerce website especially for electronic and media industry. The outcome of this research will help sellers to increase website traffic that will result in more customers and sales. This study adopts the mixed methods approach with a combination of literature analysis, interview, questionnaire and observation. Based on the result, it was found that various ecommerce websites use different type of social media. Moreover, 89% of people aged 18 to 33 choose Instagram to Facebook as their preferred social media, despite the fact that literature review revealed that Facebook is the most popular social media. Facebook is in third position with 54 percent, while Twitter is in second place with 65 percent. It was observed that interest and intention to buy are the biggest reason for a user to click the advertisement. At the same time, the biggest reason for the unclick link is related to intention and interest to buy the product too and trust issues. Based on the result shows that most users who enjoy purchase online are the experienced user who have the intention and interest to purchase a product. Based on the findings of the research, we developed a a conceptual model for social adoption model of factors influencing e-commerce websites.

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Financial time series data often affected by various unexpected events which known as the outliers. The aim of this study is to detect the outliers in high frequency data using Impulse Indicator Saturation approach (IIS).Monte Carlo simulations illustrate the ability of IIS to detect outliers by using data with various simulation settings. For empirical application, we have chosen the Malaysia Shariah compliant index which is the FBM EMAS Shariah (FBMS) index. The result of this study discovered the presence of 47 outliers which related to several global events such as global financial crisis (2008 & 2009), the falling of stock market (2011), the United States debt-ceiling crisis (2013) and the declination of international crude oil prices (2014). Keywords: outliers; volatility; stock indices; IIS