Search Results

1 - 2 of 2 items

  • Author: Renāte Strazdiņa x
Clear All Modify Search


The goal of the paper is to provide a vague summary of currently existing blockchain use cases in the information technology industry. Respective use cases have been examined in already existing scientific papers, Master Theses, industry white papers and blogs of industry experts. The paper also contains a description of blockchain main technological aspects and working principles, which allows making the assessment of the presented use cases. For each use case respective companies or organisations are added that are applying or testing the given solution. Due to research limitations the paper should not be considered an exhaustive blockchain use case description.

The paper also provides short introduction into a feasibility analysis of specific blockchain use case. The authors describe the basic steps of potential idea evaluation with regards to blockchain main aspects. It helps understand the necessity for development of a detailed blockchain feasibility model.

Towards Narrowing a Conceptual Gap between IT Industry and University

The situation when the number of the students and the popularity of the engineering education in general and IT education in particular is not increasing dramatically due to the fact that there exists an opinion that engineering education is complex and time-consuming from one side and that the graduates are not sufficiently prepared for the industry from another, requires the University to perform a series of actions that can improve the current situation. One of the areas for improvement is the quality of the study programs in the sense of their suitability to ‘customers’, namely Students and Industry. Previous research shows that the knowledge requirements monitoring system and the processes behind it can improve the quality of the study programs, e.g. the results of the Value Network Analysis demonstrate that the Monitoring System can give additional value to both the University and the Industry. Developing a monitoring system prototype requires narrowing the gap between industry and university and introduces new ways of industry-university cooperation.