Global trends in digital transformation and the increasing importance of remote collaboration of the teams' members entail specific software platforms. In a crisis mode, the CIO has to propose digital collaboration tools to enable employees to work remotely as interim solutions in the short term. Determining the best-suited software products requires involvement of different experts in the area of IT, including CIO, IT specialists, and digital service team. Towards that goal, a group decision-making model that is suitable for fast evaluation is proposed. This model is capable to aggregate the group decision taking into account the experts' opinions with different weights. The applicability of this model has been demonstrated in the selection of software supporting the collaboration of remote teams using video conferencing, learning management systems, and project management. These three main products are common and suitable for business companies, universities, and research organizations. The obtained results show the practical applicability of the proposed group decision-making model by reasonable, objective and motivated decisions.
The mountain hiking destinations become more popular as this is one of the possible ways to cope with workplace stress and to prevent burnout. In contrast to the tourist destinations, mountain hiking requires special attention due to the variety of mountain trails satisfying the same starting and finishing point for a particular route. For the goal, a two-stage search-based approach for a determining of possible routes considering the users’ preferences is developed. The first stage is focused on the determining of possible hiking routes taking into account the requirements and tourists’ preferences, while the second stage concerns the sorting of already determined hiking routes. The applicability of the described approach is illustrated and the obtained results demonstrate the capability in searching and sorting of mountain hiking trails using directed weighted multigraph including tourists’ preferences.
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