Yoke Yie Chen

The effect of integrating social plugins into e-commerce website: a study on online consumer behaviour

The high interactivity rate in social networking sites (SNSs) has drawn the attention of many researchers and businesses. However, this high activity rate has made it difficult for businesses to decide where to build their web presence in their e-commerce website or in SNSs. This paper explores the impact of social plugins integration into e-commerce website. An empirical study was undertaken to investigate the impact of social plugins on consumers perceived trust, word-of-mouth (WOM) effect, and consumers purchase intention. The result shows that there is positive impact on consumer purchase intention by integrating social plugins in e-commerce website. Recommendations for future research are outlined in this paper.

Designing a Checklist for an E-Commerce Website Using Kansei Engineering

Usability has played a big role in refining the design of a website. Effective design of e-commerce web interfaces potentially increases perceived trust of its consumers. It is thus critical that e-commerce designers understand usability issues pertaining to e-commerce. However, usability looks only at functionalities and we have moved beyond usability towards users emotions. The purpose of this study is to design a preliminary checklist using Kansei Engineering for an e-commerce perspective, which can contribute towards trust and purchase intention of consumers in the Malaysia context. A usability evaluation method was conducted, Feedback Capture after Task (FCAT) using the URANUS tool. It was performed on an online gift shop with a group of potential consumers with age range of 18-22. Using Kansei Engineering, we manage to extract words that are mentioned by the users, in which we have categorized it as per Kansei Concept. There are four categories, namely aesthetic, physical, sensational and operational. This research is deemed important in which future web designers could use as a guideline to design an e-commerce website that focuses on perceived trust and purchase intentions based on Kansei Engineering.

Road Accident Auto-dialer via Pressure Sensor

An accident sometimes goes unnoticed, for example, falling into a ravine. Thus no one is able to make emergency calls to the relevant authorities. Airbags in vehicles are designed to inflate when serious accidents occur. However, reliance an airbag alone may not be sufficient. This research explores developing a prototype using crash and pressure sensor as a parameter to trigger auto-dialer to call a pre-programmed list of numbers when an accident occurs. Global Positioning Satellite (GPS) and Global System for Mobile Communications (GSM) modules are integrated to track vehicle location and send information. A Short Message Service (SMS) will be sent containing the vehicle registration number and GPS location, to the authorities or even the insurance agent. This life-saving system which can be placed in the black box of a vehicle to report incidences and thus reduce the time needed to relay accident location information to the relevant authorities.

Exploration of communication process using Business Microscope

This paper describes first results of ongoing research effort to investigate communication pattern within a procurement process in an organization. Previous studies have shown that the main reasons of long ordering cycle are it takes too long to deal with purchase order and unable to share information with vendors. The procurement process of an educational institution is chosen as a research sample. In this paper, we outline the opportunities for developing a future possible theoretical framework around the construct of effective communication pattern with the usage of Business Microscope®. In particular, we are able to identify typical communication patterns between inter- and intra-departments. We aim to explore the communication process that integrates efficient modes of communication that will influence and regulate the communication process.

Estimation of Production Rate Limits Using Agent-Based Simulation for Oil and Gas Plants Safety

Safe production is one of the most important issues in oil and gas plants. Oil and gas companies lose enormous amounts of money and trust once they experience accidents such as explosions and oil spills. They have to make clear production rate limits to mitigate the human related risks that cause accidents. In this study, we model plant workers using an agent-based simulation to estimate the limits. The proposed model represents that plant workers solve problems with risks, and that the probability of the occurrence of a problem is proportional to three main factors, the production rate, the plant size, and the plant equipment degradation rate. The experimental results show that the proposed model can estimate the limits for different sizes of the three factors. The results imply that the limit estimation made by the proposed model is very crucial for plant operations to mitigate human-related accidents.

FaceSnap: game-based courseware as a learning tool for children with social impairment

Gaming has been viewed as a way of making education fun and is able to engage children in the learning process longer. This paper presents a development of a game-based courseware for children with social impairment. This courseware focuses on helping children with Aspergers Syndrome to learn facial expression and social behavior. Six children are divided into two groups; Aspergers Syndrome group and a control group consisting of normal children are tested in playing this game. The result shows that there is an improvement in the former groups scores which indicates that this courseware is effective in helping children with social impairment to learn facial expressions and social behavior.