Students acquire learning material in different ways. Some prefer to read, some prefer to listen, others use the third type of sense. Traditional teaching uses only one of these teaching strategies since it is impossible to use all of them in the classroom. However, these days, adaptive e-learning systems enable learning material to be customized to the individual needs of learners. For the purpose of this paper, the researchers designed a model of the adaptive learning management system and implemented it in Moodle. The system was evaluated on 228 students. The incorporation of learning styles in Moodle is based on the VAK learning style model. The authors analysed the effects and effectiveness of an adaptive e-learning system. It was discovered that there are significant differences in learning effectiveness, satisfaction and motivation when students use an adaptive e-learning module in comparison to a standard e-learning module. Moreover, we investigated the durability of knowledge acquired with an adaptive e-learning system by comparing the performance of students not only after the completion of the course but also a month after the course. The results of the research confirmed the authors’ expectations and showed that an adaptive e-learning system can increase students’ learning results. So far, to our knowledge, no study has evaluated the performance between a control and experiment group a few months after the completion of the course, i.e. by analysing the durability of knowledge acquired through an adaptive e-learning system. Moreover, the motivation of students to continue using an adaptive e-learning system hasn’t been analysed until now.

Sustainable development and project stakeholder management indicate a business practice where an organization strives to fulfil the demands of the important stakeholders for the project’s success. If one company relies on subassembly parts from its supplier, then it might be considered that it has high interest for enhancing the business continuity of the supplier. This issue has become more complex during 2020 due to turbulent business conditions where the problem of the safety and health of workers during daily work has become one of main reasons for business vulnerability. Besides the above-mentioned, project stakeholders may have different demands. The implementation of the management actions that lead to the fulfilment of stakeholder demands (SDs), such as addressing ongoing issues, are almost always limited by the available budget. The contribution of this research is providing the input for determining the actions which should address the most important SDs. Those activities may be seen as part of the strategy for external stakeholder management and successful long-term relationship. The determination of the priorities of SDs is based on a fuzzy multicriteria optimization model with type-2 fuzzy sets.

The Big Data embodies a technology that permits the storage, processing, and management of broad and complex data sets in which traditional data processing applications are not applicable. These sets of data are usually characterized by a substantial volume of information that they carry, variety, versatility in terms of the format in which they are written, as well as a high-speed ingress which is often greater than the speed of processing. A particular challenge is the data which are coming from the Internet of Things (IoT) “world” that is constantly expanding and which already consists of several billion devices that can measure various parameters in the environment, communicate, process and transmit information. The data streams emanating from these devices are changing traditional approaches to data management and contribute to the emergence of the Big Data paradigm. This paper discusses the characteristics of the IoT infrastructure in terms of vast scale sensor applications and a possibility of connectivity of sensor networks, as well as various techniques of collection, storage, archiving and processing of the data on the cloud.

Due to globalization, companies are exposed to a culturally diversified workforce; therefore, great emphasis is placed on identifying the most effective leadership style that would be able to manage such a workforce. Although numerous studies have attempted to identify successful leadership styles in different cultural settings, none have focused on the perceptions of top managers who work in multinational corporations (MNCs) in culturally diversified surroundings. Thus, our research attempts to identify the most preferred leadership style and characteristics from the perspective of top managers in MNCs in the United Arab Emirates (UAE). The 13 leadership characteristics analyzed in this study were generated from the 21 characteristics found by Global Leadership and Organizational Behavior Effectiveness (GLOBE) research. The participants, top managers in MNCs, needed to evaluate leadership styles by considering leadership characteristics. To ensure the objectiveness of the study, we analyzed their answers by applying the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The results indicated that the most preferred leadership characteristics were visionary, inspirational, collaborative team-oriented, and performance-oriented. Moreover, the transformational leadership style emerged as the most preferred leadership style. The study’s findings show that top managers believe that employees in MNCs in the UAE seek a leader with a vision who will inspire, motivate, and help them fulfill their true potential.

Security is one of great problems in the creation and implementation of e-learning solution. As an end user is not able to see these problems, they are often neglected. As all other applications, e-learning portals are widely distributed and available to a wide audience, which makes them vulnerable in a way. As the concept of Web applications is very spontaneously developed without a detailed plan, and with great effort invested in development of programming languages and interpreters for Web applications, there is a danger from manipulation by malicious users.

The paper considers the possibility of using integer single-error-correcting (SEC) codes instead of the Internet checksum (IC). It is shown that such a replacement can be easily carried out, since the integer SEC codes are a generalization of the IC.