Nor Intan Saniah Sulaiman

The impact of knowledge sharing through social media among academia

The world of research require researcher, academia and lecturers to share knowledge among them. With the invention of social media, knowledge sharing process has been more effective and easy. Previously, there were numerous researches done to investigate the effect of social media utilization for public used. There were also study that aimed to study social media effects in educatioanal sector but those study were centered around student’s perspective. Less consideration is given towards academia’s perspective. Therefore, this study is directed to explore other niche area on knowledge sharing environment where it will focused on the effects of social media on knowledge sharing among academia. Initially, literature review analysis was done to discover the potential factors that encourage academia to engage in social media. Ability to facilitate communication, idea generation and group establishment are the most cited reasons. Not only that, this paper will highlight the significance of performing this study. In conclusion, there is no doubt that social media do enhance and upgrading the knowledge sharing process thus assisting academia in their scholarly work.

Developing a goal programming model for ideal/mutual house price

One cannot deny the importance of a house as a living need. Unfortunately, the unreasonable house price makes it approximately impossible to be owned, mostly for middle income group. Nowadays, the middle income house buyers have two alternatives, whether to buy it from a private developer or through PR1MA and My First Home scheme, since both parties have their own advantages. Goal programming has been employed to resolve the multi objective problem among parties. Due to the complex decision making in house price determination between the parties, this study purposely modeled the problem using interval goal programming approach. Goal programming and interval goal programming can be differ based on their goal (i.e. the aspire level) which is in the form of interval. This study employed primary data and secondary data, which primary data is acquired from semi-structured interview with private developer, while secondary data is the data obtained from literature review. Initial result shows the satisfactory ho...

Game theoretical framework in determining house prices

Housing is a vital component in world’s economic development as it provides big contribution of the wealth. The issue of high house prices, worrying several parties, especially middle income buyers in Malaysia. Basically, in housing, there are three main parties involved; buyer, property developer and government. Interaction between those parties will give an impact to the housing market, specifically house prices. The complexity of the interaction has increased due to the differences in each party’s preferences and interest. In this research, the main objective is to develop the framework of the interactions among those parties using game theoretical approach. To do so, the preferences and target of each party are investigated and their constraints are established. From the framework, it offers some ideas on how the interaction occurs and how it affect the house prices.

Measuring successful knowledge sharing among academia through social media

This paper aims to study the influence of social media on knowledge sharing among academia. Previously, many researches have been done to explore the importance emergence of social media for public use, but there are still limited studies on how this technological advancement affects the academia. For this study, Facebook is chosen as one of the online social networking tools as the medium of knowledge sharing. To begin with, this study is started with the identification of factors that encourage the academia to share their knowledge through social media. These factors are then categorized based on Theory of Planned Behavior (TPB). After this knowledge has successfully shared, the level of successful knowledge sharing through Facebook is modeled using Fuzzy Logic. Fuzzy inputs for this study are the number of like, comment and share. Findings from this study indeed showed that there are many reasons encouraging academia to utilize social media for their work. Besides, this paper contributes new knowledge ...

Multi attribute decision making assessment on knowledge sharing through social media

This paper discusses knowledge sharing behavior through social media analysis. The aim of this paper is to study the pattern of topics tends to be shared in the social media based on the level of postings (high, low). Facebook page is selected as the medium for social media. Fuzzy logic approach will be applied in determining the level of postings using triangular membership function. The findings will complement the initial finding of this study that which was based on qualitative perspective using Socialization, Externalization, Combination and Externalization (SECI).

Goal-based ultimatum game

This research investigates the human decision-making in ultimatum game in the context of neuroscience theories that give more insight into decision-making process by humans. Based on this approach, a new model of human decision-making has been developed by using Goal Programming approach. The satisficing and egalitarian philosophies on which weighted and Chebyshev Goal Programming (GP) rely; seem to offer an adequate and natural way for modeling human decision processes in at least the single-shot games of coordination. The simulation of ultimatum games gives the distribution of proposers offer which shows some similarity with the distribution from the experiments with real subjects. The sensitivity analyses of this model are also presented. The solutions returned by the proposed GP approach aim to strike the right balance on several dimensions of conflicting goal that are set by players themselves.

Social network analysis in identifying influential webloggers: A preliminary study

In recent years, second generation of internet-based services such as weblog has become an effective communication tool to publish information on the Web. Weblogs have unique characteristics that deserve users attention. Some of webloggers have seen weblogs as appropriate medium to initiate and expand business. These webloggers or also known as direct profit-oriented webloggers (DPOWs) communicate and share knowledge with each other through social interaction. However, survivability is the main issue among DPOW. Frequent communication with influential webloggers is one of the way to keep survive as DPOW. This paper aims to understand the network structure and identify influential webloggers within the network. Proper understanding of the network structure can assist us in knowing how the information is exchanged among members and enhance survivability among DPOW. 30 DPOW were involved in this study. Degree centrality and betweenness centrality measurement in Social Network Analysis (SNA) were used to exa...