FACTORS INFLUENCING SOCIAL NETWORKING SITES ADDICTION AMONG THE ADOLESCENTS IN ASIAN COUNTRIES

Social Networking Sites (SNS) addiction among the adolescents has begun to getting attention among the scholars. Previous studies have focused on the factors influenced SNS addiction mostly among the adults compared to the adolescents. Furthermore, studies on SNS addiction that integrate different perspective from different theoretical foundation is very scarce. This study has taken a systematic literature approach to identify factors that contributes to SNS addiction among the adolescents in Asian countries. Based on the systematic literature approach, ten papers were found to be significantly highlighted factors that contributes to SNS addiction in Asian countries which is Malaysia, Singapore, Thailand, Hong Kong, Taiwan, South Korea and China. Subsequently, the factors were categorized into three different perspective which is Information System, Sociology and Psychology. These factors are hoped to be guidance for future research in SNS addiction context among adolescents in Asian countries

Support Vector Machine Algorithm for SMS Spam Classification in The Telecommunication Industry

In recent years, we have withnessed a dramatic increment volume in the number of mobile users grows in telecommunication industry. However, this leads to drastic increase to the number of spam SMS messages. Short Message Service (SMS) is considered one of the widely used communication in telecommunication service. In reality, most of the users ignore the spam because of the lower rate of SMS and limited amount of spam classification tools. In this paper, we propose a Support Vector Machine (SVM) algorithm for SMS Spam Classification. Support Vector Machine is considered as the one of the most effective for data mining techniques. The propose algorithm have been evaluated using public dataset from UCI machine learning repository. The performance achieved is compared with other three data mining techniques such as Naïve Bayes, Multinominal Naïve Bayes and K-Nearest Neighbor with the different number of K= 1,3 and 5. Based on the measuring factors like higher accuracy, less processing time, highest kappa statistics, low error and the lowest false positive instance, it’s been identified that Support Vector Machines (SVM) outperforms better than other classifiers and it is the most accurate classifier to detect and label the spam messages with an average an accuracy is 98.9%. Comparing both the error parameter overall, the highest error has been found on the algorithm KNN with K=3 and K=5. Whereas the model with less error is SVM followed by Multinominal Naïve Bayes. Therefore, this propose method can be used as a best baseline for further comparison based on SMS spam classification

Mobile Business Intelligence Acceptance Model for Organisational Decision Making

Mobile Business Intelligence (BI) is the ability to access BI-related data such as key performance indicators (KPIs), business metric and dashboard through mobile device. Mobile BI addresses the use-case of remote or mobile workers that need on-demand access to business-critical data. User acceptance on mobile BI is an essential in order to identify which factors influence the user acceptance of mobile BI application. Research on mobile BI acceptance model on organizational decision-making is limited due to the novelty of mobile BI as newly emerged innovation. In order to answer gap of the adoption of mobile BI in organizational decision-making, this paper reviews the existing works on mobile BI Acceptance Model for organizational decision-making. Two user acceptance models which are Technology Acceptance Model and Technology Acceptance Model for Mobile Services will be review. Realizing the essential of strategic organizational decision-making in determining success of organizations, the potential of mobile BI in decision-making need to be explore. Since mobile BI still in its infancy, there is a need to study user acceptance and usage behavior on mobile BI in organizational decision-making. There is still opportunity for further investigate the impact of mobile BI on organizational decision-making

Applying game theory to mortgage framework

To some, the retail banking market is considered an oligopoly. This is not healthy for a country's economy and its people because it is important for competition to thrive in the banking industry. Any form of market failure or anti-competitive behaviour affects productive efficiency, consumer welfare and economic growth. With the introduction of the Base Rate (BR) to replace the Base Lending Rate (BLR), Bank Negara Malaysia (BNM) seeks to inject transparency into the mortgage framework. Under this system, banks will have to disclose their margins and are not allowed to loan below the BR just to attract customers and boost loan growth. This new framework will allow customers to make better financial decisions whilst having little impact on borrowers. Even though this only applies to personal home loans, it still poses a challenge to competing banks. Those with a seemingly strong niche in consumer financing will be able to offer more attractive and competitive BR leading to better Effective Lending Rates (ELR). This paper proposes using Game Theory (GT) as a method to predict probable outcomes in strategic interactions for BR revision. Monte Carlo Simulation (MCS) will then provide a means of weighing the probabilities of the contributing factors. With the ability to anticipate the competition's next moves in a quantifiable manner, strategists will be better prepared in understanding and navigating the complex banking system

Mobile educational games for learning Sirah Nabi: development and usability evaluation

The pervasive use of the internet and mobile phone among the age group 5 – 17 years old makes learning through these media an attractive proposition. Mobile learning presents a flexible and inventive way of learning as well as the new normal. On the other hand, learning Sirah is an essential part of every Muslim in the world in order to understand what has happened in the past regarding our beloved prophet and to learn from his behaviour and follow his sunnah. However, past studies shown that the traditional learning approach seems dull and not interesting enough. Mobile learning thus offers a new solution in learning the Sirah and similar subjects most students find of low interest and dull. The study used a quantitative approach using survey for data collection; and was divided into two phases: Sirah Game Prototype Design and Usability Evaluation phase. The ADDIE model was adapted as a model to guide instructional design process and development of the Sirah mobile applications with five phases throughout the process. An evaluation model consisted of seven components namely Game Usability, Mobility, Learning Content and Playability, Satisfaction, Efficiency was implemented. The findings suggested that students are highly interested in the use of the games for learning, able to learn Sirah subject in better ways by using the games and learning with games was found as enjoyable way to learn. This study adds more to Islamic digital content and enhances the learning approach for Sirah subject. We hope to contribute more towards Islamic digital content in the future for the benefit of our ummah and community

Study of techniques of class schedule/timetable retrieval via SMS for students convenience

Short Messaging Services (SMS) is a service for transmitting text messages between mobile phones and also external systems such as electronic mail, paging and voice mail systems. In today's digital age, this service has becomes a valuable and effective tool for the students and lecturers in education environment. Some universities have used the SMS technology to improve the effectiveness of their services such as exam result notification, class cancellation, class changes, appointment reminders, class schedules and so forth. With SMS, students and lecturers can be reached in anywhere and anytime with ensuring that message is delivered. The SMS class schedule is a way to provide a service for students to retrieve their class schedule or timetable faster and cost effective. This service also can increase convenience for the students because the information comes to them immediately and effectively rather than having to seek them on paper. This paper begins by studying two common techniques of class schedule through SMS, which are addressed on SMS via cellular modem and SMS via gateway. It will describe the system architecture of these techniques include how they were implemented, it’s strengths and weaknesses in main aspects such as network interoperability and messaging cost. From these two techniques, the studies will come out with an appropriate technique solution for the class schedule via SMS for the student convenience, which considered the cost-effective and practical factors. Finally, the paper reports on the finding of a new prototype of SMS class schedule technique that will benefit students and lectures in terms of fast delivery of class schedule, reliable and effective cost communication for concise information

Technological and social dimension on acceptance of social networking sites among students in higher learning institutions

One of the purposes students in higher learning institutions use social networking sites (SNS) is to communicate with one another. This purpose is significant, especially during the Covid-19 pandemic, which recently spread worldwide. Most research on SNS acceptance in higher education used the same Information System (IS) theories (such as Technological Acceptance Model), focusing more on the technological side. Thus, there is a lack of research on students‟ SNS acceptance, focusing on the technological and social dimensions using other IS theories. This study aims to identify the technological and social factors affecting SNS acceptance among students in Malaysia‟s higher learning institutions. A conceptual model was developed based on the identified potential factors and the underpinning theory of Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). The UTAUT2 was chosen to fill in the research gap because it was related to the use of other IS theories in SNS acceptance studies. The data collection was conducted at various Malaysia Higher Learning Institutions using the survey form, and 498 responses were recorded. The data were analysed using SPSS 26.0 for descriptive analysis of demographic data and Partial Least Square-Structured Equation Modelling for validating the conceptual model. The model validation revealed that Effort Expectancy, Habit, Hedonic Motivation, Privacy Concern, Social Value, and Trust affected SNS Behavioral Intention significantly. Whereas Facilitating Conditions, Habit, Social Value, Technology Cluster, and Behavioral Intention had significant effects on SNS Use Behavior. The R² value of endogenous constructs in this study is 0.558 for SNS Use Behavior. The identified factors in this study explained that 55 % of the variance accepted the use behaviour of SNS among the students, showing a good explanatory power of the model. In addition, SNS Behavioral Intention also acted as a mediator between Effort Expectancy, Hedonic Motivation, Trust, Privacy Concern and Habit with SNS Use Behavior. Apart from that, the moderator effect analysis showed that gender, education level and personality traits acted as positive moderators between the factors and SNS Behavioral Intention and SNS Use Behavior. This research contributed to the theoretical knowledge of SNS technology acceptance in the context of technological and social context measurements. In addition, the research outcome will benefit the Malaysia Ministry of Higher Education, the higher education student administrator, lecturers and the SNS service providers. The research outcome will contribute to the development of creating an atmosphere of new and innovative ways to communicate fast and easily with the students. This will nurture students‟ moral beliefs and principles that are accepted by society

Re-CRUD code automation framework evaluation using DESMET feature analysis

A unified view of web application design and development is crucial for dealing with complexity. However, the literature proposes many denominations, depending on the development methodology, frameworks or tools. This multitude of Create, Read, Update and Delete (CRUD) approaches does not allow a holistic view of the web application. Besides, in a web application, the search for good practice in design, features and essential functions is still a relevant issue. A subset of essential CRUD operations is to provide code automation for web application rapid prototyping. Re-CRUD articulates the records management features into CRUD operation. This study aims to provide insight into the effectiveness and efficiency of Re-CRUD in web application development and to compare it with other web application frameworks' CRUD output. The qualitative feature analysis is used based on the evaluation guideline proposed in DESMET and reviewed by experts for validation. A document management system is developed and used as a case study for Re-CRUD evaluation. The feature analysis comprises Re-CRUD and four other web application frameworks CRUD, namely, CakePHP, Laravel, Symfony and FuelPHP. According to the review, Re-CRUD satisfies its expectations by providing more useful features and delivering higher code automation in the web application development process. Compared to the other existing CRUD generator, Re-CRUD has integrated records management features that are useful in providing support in managing born-digital data and also contributes to effectiveness and efficiency in web application development