Motivation of Management Information Systems Students Towards Online Learning in the COVID-19 Pandemic

The rapid spread of the COVID-19 pandemic made it necessary to take serious precautions in the field of education, so schools were closed in many countries and switched to online education. The pandemic has caused similar changes in higher education institutions in Turkey. The motivation of the students is an important component in achieving the targeted success of the rapidly adapted online education. This study aims to investigate the factors that affect the motivation of management information systems students towards online education conducted during the COVID-19 pandemic. The findings reveal that the role of instructor, system support, and time management come to the fore in students' positive motivation. On the other hand, ineffective group work, failure to achieve career goals, prolonged pandemic period, and breakdown in social relationships have influence on students' negative motivation. It is expected that this study will guide policy developers for distance education and instructional strategies to be developed in the field of management information systems.

Book Recommendation System Using Machine Learning

Users can use book recommendation systems to search and select books from a number of options available on the web or elsewhere electronic sources. They give the user a little bit selection of products that fit the description, given a large group of objects and a description of the user needs. Our system will simply provide recommendations. Recommendations are based on previous user activity, such as purchase, habits, reviews, and likes. These systems gain lot of interest. In the proposed system, we have a big problem: when the user buys book, we want to recommend some books that the user can enjoy. Buyers also have a great deal of options when it comes to recommending the best and most appropriate books for them. User development privacy while placing small and minor losses of accuracy. Recommendations. The proposed recommendation system will provide user's ability to view and search the publications and using the Support Vector Machine (SVM), will list the most purchased and top rated books based on the subject name given as input. Keywords: Recommender System, Support Vector Machine (SVM), Machine Learning, Classification etc.

Investigation of Serverless Architecture

Serverless computing is a new and still evolving type of cloud computing, which brings a new approach to the development of information systems. The main idea of serverless is to give an approach of doing computing without dealing with a server to a user. Such approach allows to reduce the cost of the system building and system support. It allows small companies to concentrate on their own system designing instead of thinking about infrastructure building and supporting. Also, a big problem of providing the system security on high level is on cloud’s provider engineering support service. Serverless approach allows to start business quickly without huge initial investment. There is an attempt to completely analyze features, benefits and drawbacks of serverless approach, its use cases and main patterns of Serverless architecture. What is more, different providers have been analyzed.

The COVID-19 Pandemic Eroded System Support But Not Social Solidarity

While the World has been busy mitigating the disastrous health and economic effects of the novel coronavirus, a less direct, but not less concerning peril has largely remained unexplored: the COVID-19 crisis may disrupt some of the most fundamental social and political relationships in democratic societies. We interviewed samples resembling the national population of Denmark, Hungary, Italy and the US three times: in April, June and December of 2020 (14K observations). We employed a broad set of survey questions tapping into perceptions about the two major relationships structuring society: Horizontal relationships between citizens, and vertical relationships between citizens and the state. We benchmarked these data against pre-COVID levels measured in the World Values Survey and the European Values Survey. We present strikingly similar findings across the four diverse countries. We show that support for the political system has markedly decreased already by April and fell further till December. Exploiting the panel setup, we demonstrate that within-respondent increases in indicators of pandemic fatigue (specifically, the perceived subjective burden of the pandemic and feelings of anomie) correspond to decreases in system support and increases in extreme anti-systemic attitudes. Meanwhile, we find much smaller changes in social solidarity and trust compared to pre-pandemic levels, and we find that these attitudes are largely unaffected by pandemic burden. Our results imply that the pandemic is not only a health-crisis, but poses a substantial challenge to the relationship between citizens and the state.

Authoritarian Regime Legitimacy and Health Care Provision: Survey Evidence from Contemporary China

Context: Over the last two decades a growing body of research has shown authoritarian regimes trying to increase their legitimacy by providing public goods. But there has so far been very little research on whether or not these regimes are successful. Methods: This article analyzes data from a 2012–2013 nationally representative survey in China to examine whether health care provision bolsters the communist regime’s legitimacy. Using multivariate ordinal logistic regression, we test whether having public health insurance and being satisfied with the health care system are associated with separate measures of the People’s Republic of China’s regime legitimacy: support for “our form of government” (which we call “system support”) and political trust. Findings: Having public health insurance is positively associated with trust in the Chinese central government. Health care system satisfaction is positively associated with system support and trust in local government. Conclusions: Health care provision may bolster the legitimacy of authoritarian regimes, with the clearest evidence showing that concrete benefits may translate into trust in the central government. Further research is needed to understand the relationship between trends in provision and legitimacy over time and in other types of authoritarian regime.

Design, implementation and application of an intelligent system for territorial risks assessment

The process describes an intelligent system creation designed for risk evaluation and management. The risk can be anthropogenic, natural, or social nature, and belong to territories of different scales. Complexity in structuring and collecting information about the state territorial security as well as different risks assessment methods necessitate the development of a modular multitask system. The information management system support model formalizes the problem area to justify the joint intelligent technologies use. Based on the model, system architecture has been developed. This architecture defines the composition, functionality, interaction interfaces, as well as the information resources organization, that were used to support management. Here is presented an intelligent system prototype operation result.