The use of the Learning Management System (LMS) in the teaching learning process in the university has been widely used, but the intensification of the use of the LMS to become a culture in the universities has its own challenges. The main objective of this study is how to find the factors that influence the behavior of lecturers when receiving and using the LMS. This study uses the UTAUT 2 and Trust method to identify the factors that influence the acceptance and use of LMS for university lecturers. The data was collected and analyzed using SEM-PLS. The results of this study indicate that performance expectancy, habit and trust have the significant influence on the acceptance of the application (behavioral intention), while habit and behavioral intention are the influential factor in the use of the application (use behaviour).

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Executive dashboard is highly necessary for university's board of leadership as one of the tools in the decision-making process to win the increasingly competitive market. The abundance amount of available data has become a unique challenge for the organisation to manage and process its data to be more useful information. The concept of processing large amounts of data that do not interfere the operational data is called "Data Warehouse" technology. Data warehouse serves as the basis to build an executive dashboard application that could assist the board of leadership in universities to access information in visual form to accelerate and improve the readability of the information itself. The developers of Executive Dashboard should meet what the board of leadership needs and stick to the information system architecture based that university has. This development method utilizes Key Performance Indicator approach owned by the university. To build a proper executive dashboard, developers need data warehouse that is built through the initial stage of system development life cycle for the data warehouse. Since it is applied to universities, this executive dashboard application is called as the University Dashboard. Keywords-executive dashboard, data warehouse, key performance indicators (KPI), university dashboardI.

Application of viral marketing through social networking sites will greatly help companies in saving high marketing costs since companies do not have to give financial incentive to internet users or customers who voluntarily forward the information about the companies. Good marketing communication strategy will increase the company's branding and enable good interaction between customers and companies. This study focuses on whether the customer communication behavior has a relationship and a significant impact on forwarding online content and whether the curiosity variable has a relationship and a significant impact on the variable of consumption of online content in the application of Viral Marketing. The methodology used is interpersonal communication model adopted from FIRO theory, which consists of the following variables: inclusion-need to belong, inclusion-individuation, affection-altruism, controlpersonal growth, and consumption of online content, toward the online content forwarding variable; and also the curiosity variable towards the consumption of online content variable, where the hypothesis was tested by the correlation and regression analysis. The test results based on correlation analysis show that all H1 hypotheses (have relation) are received; and based on regression analysis, all H1 hypotheses (effect) are received, although the value of the correlation coefficient r and the effect is less significant (small).

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