Abstract-The widespread of smartphones usage have increased the convenience of accessing information and knowledge sharing for higher learning students. University's students are exposed with the multi channels of knowledge from various sources primarily from online learning's resources. The study examines smartphone habit and behaviors, internet literacy, and mobile learning in relation to self-efficacy. Self-efficacy refers to the internal forces of a student's belief in the abilities in utilizing smartphone as educational aid in the context of mobile learning. This study deploys a quantitative approach in assessing the relationship between self-efficacy, internet literacy and smartphone's habits for of university students. Understanding student selfefficacy is important factor to deliver an effective ways in supporting mobile learning activities. In addition to documenting the findings of self-efficacy and mobile learning, the research also represents a model of internal and external factors that affects student self-efficacy to make mobile learning successful.
Businesses are starting to use the Metaverse to expand their service network and establish new value co-creation for customers. However, businesses may need to carefully assess the ethical implications of their data collection and utilisation procedures for business sustainability. This paper examines the ethical concerns surrounding the usage of the Metaverse by organisations to obtain a competitive edge. This research was based on an exploratory assessment of business ethics and a Metaverse business model. A structured literature review was selected as the study’s design to get a better understanding of the issue. This research provides preliminary insights into the Metaverse and its business ethics, suggesting that any business must have a transparent policy regarding its Metaverse applications to foster a culture of ethics. This research aims to promote a constructive discussion on the issue of ethics in the context of the Metaverse that arises when an organisation conducts a violation or misuses user data. This paper is useful for people in the fields of technology and public policy, such as academics, businesspeople, and policymakers.
This article describes how smartphones have converged into multifunctional personal devices. Smartphones are equipped with features such as Internet access, cameras (pictures and videos) and MP3 players. While a majority of previous research investigated the use and effects of mobile phones and young people, these studies focused on the Western context. A qualitative research method was used to investigate the research questions. Specifically, focus groups and in-depth interviews were used to collect data. Nevertheless, while a growing number of studies has investigated mobile phone use by teenagers in non-western countries, there is little research on smartphone uses and their implications to teenagers in an Islamic context. This article examines the uses of smartphones by, and their implications to, Bruneian teenagers. The research seeks to map and understand the complex forces that influence and challenge the socio-cultural values and religious beliefs of teenagers in a non-Western, Malay, Islamic society such as Brunei.
The growing numbers of unemployment raises concerns around the world. With the arrival of the Fourth Industrial Revolution (4IR) many believed that 4IR might increase the unemployment rate by replacing the current jobs with automated machines such as robots whereas some argued that 4IR might reduce the unemployment rate by creating millions of new jobs. The paper aims to share the scenario of Industry 4.0 processes that affect future talent management, in determining which jobs will be severely affected, and that will be less affected. The talent mapping is a conceptual framework of job landscapes and the following four clusters examine job characteristics: machine-centric to human-centric, routine to complex, and optimization to identity. A qualitative method was deployed to extracts primary data from educators' perspectives in developing talents required for 4IR through Education 4.0. The adoption of Education 4.0 will be advantageous for developing talent in keeping up with the progressive and demanding talents in 4IR. The proposed model defined that clusters of machine-centric are jobs performed routinely on an application basis and usually structured and do not require any compassion or emotions. While developing talents for clusters in human-centric jobs, it may be difficult to replace humans due to complexities in the decision-making process and required compassion for task completion.
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