Thesis supervisor: Ákos Gubán
Location of studies (in Hungarian): Budapesti Gazdasági Egyetem Abbreviation of location of studies: BGE
Description of the research topic:
Description of the research topic:
Nowadays, the rapid development of technology is a great challenge for the corporate sector. Within this, one of the biggest challenges is the enormous amount of data that emerge continuously: how companies can store them and how they can extract relevant information to make more well-founded decisions and to take advantage of modern technologies. For the success of digitalisation, it is important for executives and decision-makers to recognize and identify opportunities in their application areas and to set up the exact goals to be achieved. As a result, due to the rapid technological and technical development, the intellectual capital is becoming more and more valuable. Companies that are able to transform data to information more efficiently and quickly, and ultimately make the necessary decisions will be in a better competitive position compared to their rivals. Small and medium-sized enterprises are the backbone of the economy. This is the reason why it is necessary to attach particular importance to this company size. How can Hungarian SMEs compete in the digital age? At present, there are no exact measurement approaches and standards for determining the digital quality of SMEs. Therefore the objective of the research topic is to create a clear and usable real measurement system. This requires the development and application of a fuzzy and later a neurofuzzy model in the SME sector.
The primary goal is whether the digital maturity could be measurable in the SME sector in an exact way and whether a clear and an automatically applicable life cycle model could be added to it. And if so, this must be created. The latter is the goal of the research and at the same time, if it is measurable, it will be the result as well. A method for determining digital maturity based on artificial intelligence and an automatically applicable procedure should be developed. During this time, the student / candidate will become acquainted with the tools of mathematical and IT-based modelling, and will be independently able to model real economic models and build tools that can be used in practice on them.
Required language skills: angol
Deadline for application: 2021-08-31
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
Login
