24 research outputs found
The understanding of social networking site adoption as s-commerce platform
The popularity of social networking sites’ (SNSs) services is changing the landscape of e-commerce.SNSs are providing consumers and
businesses the platform to engage in social
commerce (s-commerce).The use of SNSs to conduct s-commerce activities is utilising the
advantages of the synergetic experience and motivation to buy in crowds.Through SNSs, businesses are able to reach more consumers at
lower advertising and marketing cost.This is due to the fact that the products or services are marketed by consumer to consumers.Despite the growing advantages associated with SNSs as s-commerce platform, very little is known about issues related to SNSs adoption as s-commerce platforms.The main objective of this research in progress paper is to introduce a conceptualized research model that can be used to examine the adoption of SNSs as s-commerce platform.This paper also discusses the methodology adopted in this study
The conceptual relation of electronic word-of-mouth, commitment and trust in influencing continuous usage of social commerce
The advancement of social media has attracted businesses and firms to adopt and create a new type of commerce known now as social commerce (s-commerce). Within s-commerce, consumer’s loyalty and returning to use have reduced mainly because it is a highly competitive environment, which is simply presented by products that are proposed and announced rapidly to the market. Electronic word-of-mouth (e-WOM), in s-commerce, plays a
magic power because it enables consumers to make a collaborative decision. At the same time, it allows businesses to reach up their consumers and their related network in almost no cost and short time.Little is known about the effect of e-WOM on consumers’ continuous use behavior.Hence, it is worth to propose a conceptual model to explain the relationship between e-WOM and continuous use behavior. Furthermore, this study explains the mediating role of trust and commitment on therelationship between e-WOM and continuous use behavior by adopting commitment-trust theory.Additionally, this study examines flow experience determinants as predictors for promoting e-WOM among s-commerce consumers
The conceptual relation of electronic word-of-mouth, commitment and trust in influencing continuous usage of social commerce
The advancement of social media has attracted businesses and firms to adopt and create a new type of commerce known now as social commerce (s-commerce). Within s-commerce, consumer’s loyalty and returning to use have reduced mainly because it is a highly competitive environment, which is simply presented by products that are proposed and announced rapidly to the market. Electronic word-of-mouth (e-WOM), in s-commerce, plays a
magic power because it enables consumers to make a collaborative decision. At the same time, it allows businesses to reach up their consumers and their related network in almost no cost and short time.Little is known about the effect of e-WOM on consumers’ continuous use behavior.Hence, it is worth to propose a conceptual model to explain the relationship between e-WOM and continuous use behavior. Furthermore, this study explains the mediating role of trust and commitment on therelationship between e-WOM and continuous use behavior by adopting commitment-trust theory.Additionally, this study examines flow experience determinants as predictors for promoting e-WOM among s-commerce consumers
An Analysis Of Multiple Size Region Of Interest In Disparity Mapping For Stereo Vision Application
This paper presents an analysis of multiple size region of interest in selected area or segment of disparity mapping in application of stereo vision. The mapping is about to deal with the intensities of pixels which allocate the depths of an image and can be extracted to get the distance values. This region is a reference view of the stereo camera and stereo vision baseline is based on horizontal configuration. The block matching technique is briefly described with the performance of its output. The disparity mapping is generated by the algorithm with the reference to the left image coordinate. The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software. The rectification and block matching processes are also briefly described in this paper
Analysis on vowel /E/ in Malay language recognition via Convolution Neural Network (CNN)
In recent years, the silent killer disease, defined as a non-communicable disease, has become a frequent topic discussed in many academic discussions. Although this disease is not transferable from one to another, starting from 1990, the increment trend was annually published by the world statistic data for this disease, e.g., heart attack and stroke. The more significant consequence of these two diseases is to disable one or more human capabilities. One of the stroke disease effects is becoming disabled from hearing. Speech disabilities are the focus of this proposed study in this paper. Since the person diagnosed as a stroke patient requires attending the recovery session or rehabilitation session, the rehabilitation center must prepare and provide a sound module and system to help the patient regain their capability. Rehabilitation is an alternative path to gradually giving routine practice to the patient to improve their capability back. For this purpose, the rehab center requires a quantity of time to provide the patient to attend the training session. The training, however, is conducted in two ways, physically and virtually. For the Malaysia stroke patient, the training for pronouncing the vowel in the Malay language is crucial in getting back the speaking capability. Since the Malay language has 6 types of vowels, which are/a/,/e/,/ĂŞ/,/i/,/u/, and/o/. Here, there is a limitation to smartly recognizing the difference between the two/e/vowels. Malay's/e/vowel is crucial as the similar spelling vocabulary conveys two different meanings. This study analyzed the differences in recognizing the two/e/vowels using Convolution Neural Network (CNN) with the help of the existing sound-image dataset
Using Songs To Reinforce The Learning Of Subject-Verb Agreement
Malaysian students have always faced difficulty in understanding subject-verb agreement(SVA). The reason for this to happen is because of interference from students’ first language (L1).However, explicit teaching of this grammar point may increase students’ level of anxiety. Therefore,teachers need to camouflage the teaching by including fun elements in the lesson. Thus, this study aims toinvestigate the effectiveness of using songs in enhancing the understanding of SVA. The study adoptedquasi-experimental design. Thirty-seven primary five pupils from Sekolah Kebangsaan Sri Pulai wereinvolved. They were divided into two groups, the experimental group and the control group. Theexperimental group went through the song-based tasks in three different sessions while the control groupresumed normal lesson. The instruments used in collecting data were pre-test, post-test, observation of thetreatments from a recorded tape, and students’ reflection sheet. Data were analyzed qualitatively andquantitatively. The findings showed that song-based activities are useful tools to reinforce the learning ofSVA and provide an enjoyable classroom atmosphere. Hence, it is highly recommended that languageteachers incorporate songs in grammar lesson
Use of learning resources on the World Wide Web (WWW) among UTM Students In Project Based Learning for English Academic Purpose
This research is a survey on the use of learning resources on the World Wide Web (WWW) for project based learning for the subject English for Academic Communication among UTM students in Skudai, Johor Bahru. 218 UTM students from various faculties were involved in this research. Data were collected using questionnaire and analyzed using descriptive statistics. The findings indicated that in general UTM students used the learning resources on the WWW moderately for their project based learning especially for those students who are currently taking English subject UHB 1322
Guidelines and Assessment Tool for Making Web Text Legible on Full High Definition Display
The degree of legibility of a webpage is also influencing the degree of usability of a webpage. This paper will be focused on a research on what need to be considers to make sure a text displayed on a webpage is legible in terms of colour, font type and size against the background colour on full high definition (Full HD) display. The goal of this research is to come out with guideline on how to choose the best font with the right combination of colour and size to maintain the legibility when viewing on high definition displays. Based on the guideline, a tool will be developed to assist webpage designer to measure the legibility level of their webpage design by using Optical Character Recognition (OCR) technology and the new guideline. To achieve this goal a survey will be done to quantitatively measure the legibility of a combination of a font type, colour and size against the background colour
A Study on Colour Combination Guidelines for Text and Background in Web Legibility Perspective
Nowadays, webpages are widely used to disseminate information or as an online application to replace the old paper based form. Since webpages are flexible and simple for the web developer to design and use a variety of colour combinations, font types and font sizes, guidelines seem very important in helping a web designer to design an aesthetically appealing and legible webpage. However, the guidelines developed are based on earlier research that was mostly done using old Video Display Technologies (VDT). The latest generation of VDT is capable of displaying sharper images with its high-resolution technologies. The differences in the display technologies have made this area of research very important for a restudy. This paper will explore the current guidelines and determine what is necessary to ensure web text legibility through choosing the right colour combinations to be used as well as fonts and
background colour
An improved legibility guideline for text in web pages
Delivering information through the Internet is universal, offering significant advantages in terms of accessibility and flexibility in designing the appearance of text on the World Wide Web. Video Display Terminal (VDT) technology has recently been equipped with higher and higher pixel densities, and it is important to ensure that the text display as legible and as comfortable as low resolution VDTs. The purpose of this research is to investigate the VDT resolutions that affect reading performance in terms of legibility and comfortability. A reading task based experiment was conducted to measure the level of legibility and comfortability focusing on four texts in the web pages design parameters: the type of fonts, font sizes, colour combinations, and colour contrast ratio between text and background colour. Two sets of experiments were carried out using the selected VDT resolutions for low and high resolutions. The experiments were intended to investigate the relationship between legibility performance and VDT resolutions using reading and word counting tasks. Assessing the comfortable level, subjects then rated their comfort level based on experience doing the reading and word counting task. Improvement was observed almost on all text in the web design parameters when high resolution is used. Legibility levels between the two resolutions tested on type of fonts, font sizes, and colour combinations were not significant. However, in terms of colour contrast ratio, significant improvement was noted. The recommended colour contrast ratio is decreasing (2.35:1) compared to selected low resolution and recommendation from existing guideline (3.32:1). The decrease on colour contrast ratio value will lead to more flexibility in choosing the colour combination of text and background. Prototype Legibility Assessment Tool (LAT) was developed using the improved Legibility Guideline (LG) based on the results of this research. The purpose of this tool is to assess the existing web page legibility level and as a contribution from this research. A black box testing was done to the LAT by comparing the output from the LAT and the output from two web browser selected, Firefox and Internet Explorer. The result is 100% accuracy. Based on the result of the testing also indicate 100% accurate when assessing the text on the web font properties against the newly improved LG