Earticle

We are already living in the Internet of Things. The Internet of Things (IoT) refers to a networked state where things or humans can interact closely through embedded communication systems. As IoT technology is introduced into the industrial production sector, it is possible to visually check the production process and supply chain flow of factories and increase efficiency through integrated management that transcends the physical boundaries of factories and companies. Furthermore, IoT technology is also used for other areas, such as smart-factory, health-care, and vehicles, so the importance of the security is also receiving its attention as well. The network technology including IoT is getting more advanced, but the research for the security is incomplete. So, in this research, we have explored to the concept and the element of the IoT technology, and some attacking factors to the IoT security. Furthermore, we will look at some security technology and other supporting policies to suggest some solutions for the direction for the currently improving IoT security.

With the advent of Web2.0 era, more and more consumers begin to use social media to obtain the required information, this kind of information search mode of human interaction -- social information search and traditional human-computer interactive search mode has the essential difference. Understanding the motivation to consumer social information search is of great significance to understand the characteristics of consumer information search. Through the literature review, this study summarizes the three motivations to consumer social information search: risk aversion motivation, entertainment motivation and social motivation. In future studies, we will use structured interviews and empirical methods to further confirm the motivations of consumers' social information search. This study is of certain significance to enrich the theory of social information search and to formulate targeted marketing strategies for enterprises.

Nowadays, in Vietnam, the government tends to have a great concern to the 4th Industrial Revolution, and Education 4.0 is also a matter to be paid attention to. In order to implement Education 4.0, besides technology and social, people are an important factor involved in the development of the education 4.0. The purpose of the study is to find out the factors affecting student readiness for education 4.0. The proposed model consists of 8 independent factors: Internet self-efficacy, Online communication self-efficacy, Self-regulation, Creativity, Self-discovery, Upgrade, Collaboration, Attitude and 1 dependent factor namely Readiness. Based on 361 samples, this quantitative research was conducted: reliability testing, exploratory factor analysis, correlation coefficients and linear regression. The result shows that there are four key factors affecting readiness including Self-regulation, Creativity, Upgrade and Attitude. The result of t-test shows that the group of students who had experienced online learning had higher readiness for the education 4.0 than the others.