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Projects, professional events

Research projects

A study examining the extent of SMEs’ digitalization and GDP contribution

This research investigates the impact of digitalization on contribution to Gross Domestic Product, in the context of the Hungarian National Infocommunication Strategy adopting the European Union’s Digital Agenda. 1045 small and medium enterprises were included in the research, using data from years of 2010 and 2018. The level of digitalization was measured by the Digital Economy and Society Index, using both information technology infrastructure-

related information, as well as the use of enterprise software applications, particularly Enterprise Resource Planning or Customer Relationship Management systems. The contribution to Gross Domestic Product was measured by headcount, pay costs and turnover as proxies using the financial data submissions of the companies. The results of the partial least squares structural equation modelling suggest that while the firm’s current financial position is being the most important factor for its future contribution to Gross Domestic Product, digitalization, especially the adoption of enterprise software systems is also a significant factor to the firm’s contribution. Therefore, it is worth pursuing digitalisation for driving economic development. The proposed method could be applied to other Member States, creating the opportunity to understand similarities and differences of their economies.

The research resulted in a 162-page paper, which was presented at the SAP NOW-2023 conference. The scientific article was published in the journal Procedia Computer Science:

Szabo, I., Ternai, K., Prosser, A., & Kovacs, T. (2024). The impact of digitalization on SMEs GDP contribution. Procedia Computer Science, 2024(239), 1807-1814. https://doi.org/10.1016/j.procs.2024.06.36

„IPAMS – Industrial Process Analysis and Monitoring System A hazai ipari digitalizáció elősegítését célzó I4.0 megoldásokra épülő gyártásmonitorozási és analitikai rendszerfejlesztés”

The aim of the project was to contribute to the digitalisation development of Hungary’s SME sector and to catch up with Industry 4.0 by screening corporate management systems and by analysing the operating/installed digital background-free production lines supported by i4.0 digitalisation (https://www.uni-corvinus.hu/fooldal/kutatas/kutatasi-es-fejlesztesi-projektek/kutatasi-palyazatok/2020-1-1-2-piaci-kfi-2021-00213/). Katalin Ternai, Ildikó Szabó and Szabina Fodor participated in the development of the digital maturity model and the IT solution to measure the maturity.

HPI Future SOC Lab – Process-based machine learning to analyse HEI compliance

Technological innovations contribute to restructure business processes. This implies a strong pressure on workforce because they have to learn about these new technologies in time. Educational institutions must rethink their training programs and students must improve their competences including skills in the light of this transformation a process. A data warehouse approach is to consolidate labor market needs and forecast future competences.

Talent management

As part of our Talent Management programme, students in their third year or above in Business Informatics worked on problems identified by our partners in the context of the Enterprise Digitalisation Project. In solving the problems, they used the knowledge they had acquired during their training in a complex way. The companies involved in the cooperation are NTT Data, SAP Hungary, IFUA.

Examples of completed student projects

New generation customer experience with ‘Digital Human’ solution

The aim of the project was to develop a Digital Human customer service solution capable of natural dialogue, emotional expression and visual interaction. The technology already existed abroad, the aim was to adapt it to

Hungarian needs and create a proof-of-concept demo for NTTData Business Solutions: https://youtu.be/MO5OVz808h8

Enterprise Document and Invoice Processing with Artificial Intelligence

The aim of the project was to develop an enterprise document and invoice processing system based on artificial intelligence, capable of automated scanning of PDF invoices, extraction of key data, structured storage and processing of these data, with the aim of reducing administrative burden, increasing cost efficiency and integrating the data into an ERP system. Design Thinking was used in the development. The project was implemented by students of the Corvinus University of Budapest with the professional support of NTTData.

Using RPA tools to test enterprise processes

The aim of the project was to develop a robotic process automation (RPA) solution in an enterprise SAP environment with the support of NTT Data. During the project, the students used the Kryon RPA tool and gradually built a working software robot through several development versions (https://nttdata-solutions.com/hu/innovaciok/robotic-process-automation/)

Conferences, events

  • We presented this research at the SKIMA 2025 conference in Scotland, 9-11 June 2025, in the article below.
  1. Ildikó, S., & Katalin, T. (2025, June 9). The contribution of process mining in the environmental sustainability of IT. 16th International Conference on Software, Knowledge, Information Management and Applications, Paisley, Scotland.
  2. Our day-to-day and work activities are executed more efficiently due to technological evolution, even though the resource requirements of digital technologies have serious impact on our natural environment. Green IT policies, strategies, models aim to manage IT resources in an environmentally sustainable way. Distributing these resources to support business needs is one of the main directions, however little mention is made of how business processes can be improved from resource consumption perspective. This study intends to propose a solution utilizing the PM4PY Python library and shows how IT infrastructure measurements such as transaction processing steps and average response time per dialog step can be interpreted in terms of business process variants. The analysis identified repetitive and unnecessary process steps, users who need more training, and combinations of process steps that consume too many IT resources, such as energy, due to high response times.

Competences, previous research

The staff of the Institute of Data Analytics and Information Systems at Corvinus University of Budapest and the research centre have achieved internationally recognised research results in the field of information systems and data analysis, in particular through projects that address technological innovation, human competences development and business process transformation in an integrated way. The professional community in the Department of Information Systems has been working for decades to solve practical problems that address the challenges of the fourth industrial revolution. The research focuses on how organisations can exploit technological opportunities, how they can transform their processes and what skills workforces they will need in the future.

Systems developed in the department – such as the e-Best workflow generation tool, the ProKEX skills gap detection system, and the SMart and Smartplus platforms – are all designed to support organisational adaptation, automation and the labour market fit of training programmes. These solutions allow for more efficient processes, targeted human resource development and strategic decision-making.

Cooperating partners

We believe it is important to establish and maintain links with relevant Institutes and research groups both within and outside the University, facilitating the launch of interdisciplinary research projects that can grasp the opportunities in a complex way.

We also consider it important to develop and foster links outside the university through active participation in relevant professional organisations, in addition to industrial collaborations.

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