Linking consumer trust perception in constructing an e-commerce trust model

Trust issues is still considered as a main obstacle in the implementation of eCommerce Due to the increasing numbers of cyber crimes committed today, consumers are faced with doubt to engage in online shopping. As a safety precaution, consumers will take certain measures to protect their information by evaluating and assessing these websites trustworthiness before an actual purchase occurs. This paper describes a model that examines the elements related to online consumer behavior and to investigate this behavior towards building and increasing trust. The applicability of the model was tested in attempt to view consumers' acceptance towards the model and its component. The fmdings indicate the respondents are aware of the trust issue surrounding e-Commerce implementation as they accept and agreed with the model and its components

Requirements of knowledge sharing for group decision support system

Group decision support systems (GDSS) have evolved from applications designed primarily to support decision making for groups. Indeed, it is generally accepted that improvements of group support systems is a longstanding interest to organizational researchers, containing solid practical as well as scientific significance. Within this practice, there is increasing challenge to improve the exchange of knowledge among group members in order to enhance GDSS capability of knowledge sharing. Therefore, the paper investigates the current GDSS situation and analyzing the requirements of knowledge sharing (KS) to enhance GDSS. It is hoped that these findings will aid to provide GDSS systems with the solid capability of knowledge sharing

Proposing a model to predict students’ perception towards adopting an e-assessment system

Information communication technology (ICT) is the buzzword of the 21st century. The letter ‘E’ appears in the words e-commerce, e-learning, e-banking and etc. In essence, the said letter reflects the ICT component that is utilized in providing more ‘reach’ in addition to making more effective and efficient commercial transactions, information and knowledge transactions and financial transactions to name a few. An e-based system will be utilized when there are supportive factors that collectively encourage its use. The perspective of the user is an undeniably important component. E-based systems may exist in an educational environment for varied purposes. Assessments inevitably play a role in such an educational environment as one of the many ways available to measure students learning outcomes. Thus, this study was conducted to explore students’ perspective on engaging in an e-assessment experience. In that sense, the first and foremost step forward would be to recognize and identify real world problems and issued students are facing in their practice. So as to reach this goal, the study moved forward with the phase of article selection which is done through well-known academic databases. In continue, selected articles went through filtering phase so the most relevant studies disclosed. Secondly, to map those identified issues with corresponding behavioral factors of adoption. As a result, this could set the stage right for future studies on resolving issues and enhancing the e-assessment practice. This study reveals that UTAUT is the most suited underlying theory, and two constructs, namely Computer Anxiety and Habit are incorporated into the model to tailor the UTAUT so it could fit the case of e-assessment adoptio

Genetic algorithm based feature selection with ensemble methods for student academic performance prediction

Student academic performance is an important factor that affect the achievement of an educational institution. Educational Data Mining (EDM) is a data mining process that is applied to explore educational data that can produce information related to student academic performance. The knowledge produced from the data mining process is used by the educational institutions to improve their teaching processes, which aim to improve student academic performance results. In this paper, a method based on Genetic Algorithm (GA) feature selection technique with classification method is proposed in order to predict student academic performance. Almost all previous feature selection techniques apply local search technique throughout the process, so the optimal solution is quite difficult to achieve. Therefore, GA is apply as a technique of features selection with ensemble classification method in order to improve classification accuracy value of student academic performance prediction, as well as it can be used for datasets with high dimensional and imbalanced class. In this paper, the data used for experiments comes from Kaggle repository datasets which consists of three main categories: behaviour, academic, and demographic. The performances evaluation used to evaluate the proposed method is the Area Under the Curve (AUC). Based on the results obtained from the experiments, shows that the proposed method makes an impressive result in the predictions of student academic performance

Privacy policy preference (P3P) in e-commerce: key for improvement

E-commerce is one of the mediums being used for online business via internet. Buying, selling and exchanging information are examples of activities conducted in e-commerce. In order to use e-commerce, some private information must be revealed by the customer. At this point, privacy policy plays the role in preventing unauthorized access to the user's private information. This study will investigate the concept of a privacy policy and the role of a platform for privacy policy preference (P3P) in e-commerce. This paper suggest some key improvements that should be included in privacy policy statements based on P3P and end with suggestions for future work

Social media usage for informal learning in Malaysia: academic researcher perspective

Social media (SM) has gained a huge acceptance from all and sundry. A huge potential exists for academic researchers in the use of SM for intellectual exercise. Informal learning (IL) has redefined the entire learning process, creating a new dawn from the formal learning rigid structures. However, there is lack of research on why some researchers fail to accept SM for IL. Therefore, the aim of this paper is to explore the use of SM for IL, barriers, benefits, and effect of individual factors. For this reason, a thorough literature review was conducted, and items were extracted from prior studies. Using a survey, a total of 170 responses were received from academic researchers using paper-based questionnaire. The authors discovered from the survey that lack of encouragement, lack of quality information, threat to research material are the barriers affecting SM use. Furthermore, they found that the benefits of using SM by academic researchers are to communicate with peers, share knowledge, and enhance collaboration. Thus, these findings will help stakeholders in encouraging the use of SM for IL

The student's perceptions on the usability of industrial training system and its implication

Industrial training refers to placement of students in the industry or organization for a certain period of time in order for them to apply their theoretical knowledge in the actual career world. Industrial training is one of the main components in the Computer Science curriculum in Universiti Teknologi Malaysia (DIM). Meanwhile, Industrial Training Systems (ITS) is a web based system which is developed to manage the industrial training process in DIM. ITS consist of four major modules for students which are student registration, student placement, student online log book and student assessment. Beside the four modules, ITS also facilitated with communication features like email notification and announcements. Hence, ITS become a solution to improve the current process of managing and monitoring the industrial training which were previously being done manually. Indirectly, ITS gives an opportunity for students to utilize internet technology as part of their effective learning tool during industrial training. The aim of this paper is to analyze the satisfaction rate of students towards ITS from the aspect of usability. Usability is used to measures the usable and functional of IT'ss functions from the aspect of learn ability, efficiency, memorability, errors and satisfaction. A survey has been distributed online to undergraduate students who have used ITS during their industrial training period from year 2012 until 2015. The results are derived from satisfactory Likert scales which indicate that students were satisfied with the functionalities provided by ITS

An empirical study of the behavioral factors affecting students’ perception on adopting electronic assessment system

Electronic assessment (e-assessment) system inevitably plays a role in the educational environment as one of the means available to measure students learning outcomes. There are large numbers of cases that prove the establishment of an e-assessment system did not bring the promised benefits for students. Meanwhile, many studies focused on technical difficulties of development rather than incorporating the behavioral aspects. This all amounted to create a gap in understanding of e-assessment system adoption from student's point of view. Thus, the main concern in this research would be to identify all the behavioral issues of adopting an e-assessment system from students’ point of view. Alas, encapsulate identified constructs into one model that resolve all the behavioral problems, and at last, investigating the existence of statistical relationship among the proposed constructs. In that sense, the first step would be to recognize real-world problems that students are facing in their practices. The behavioral model has been proposed on the basis of the behavioral essence of the unified theory of acceptance and use of technology. For the model evaluation, the research conducts a survey on 380 students from Open University Malaysia (OUM) who had prior experience with e-assessment system. The results show that the entireties of hypothesis were significantly validated except in the case of habit toward usage intention. Moreover, the statistical findings of this research can create a well-established ground for future research, as well as, developing of e-assessment system for university level students

Knowledge management system as enabler in knowledge management practices in virtual communities

Knowledge Management System was recognized as one of the key enablers in a Knowledge Management initiative. This is because KMS have been prove bring value for Knowledge Management initiatives such as eliminate distance and time barriers. Furthermore KMS also made KM more effective for the organization. As general KMS have two main functions, first managing people interaction and managing information/knowledge. Because knowledge creates from the interaction of the people, than KMS has a vital function in knowledge creation with managing people interaction. In KM on an organization, they conduct interaction by developing some activities such as: Communities of Practices, Communities of Interest, Peer Assist and Share Learning as a method to create and leverage the knowledge. The activities could be conducted manually or virtually. In support that activities done in virtual, using IT could bring potential value. In this study we would like to propose the framework for organizations on how to implement KMS as a powerful enabler for KM in virtual communities

Trust requirements for ecommerce website

The presence of attributes of trust in eCommerce websites is essential for gammg consumer confidence. However, until now, it is unknown which trust attributes are valued more by consumers. Furthermore, this scenario may lead to wasting consumer's time in searching and e\'aluating trust attributes. The purpose of this paper is to describe the specification of a trust attributes that based on Informational-based and Functional-based. The paper emphasises the need for trust attributes in eCommerce websites by examining five models of trust. Four trust dimensions. namel~ 'merchant trust'. 'content trust'. 'product trust'. and' proccss trust' are proposed based on trust development stages