@article{MTMT:35761605,
	title = {Evaluation of Data-Driven Sustainability Potential at SMEs Using an Altered Ecocanvas Model},
	url = {https://m2.mtmt.hu/api/publication/35761605},
	author = {Bálint, Péter Levente and Várallyai, László and Botos, Szilvia},
	doi = {10.3390/economies13020049},
	journal-iso = {ECONOMIES},
	journal = {ECONOMIES},
	volume = {13},
	unique-id = {35761605},
	issn = {2227-7099},
	abstract = {Incorporating sustainability into business operations is likely to become one of the most significant priorities and challenges for companies in the near future. SMEs operating within conventional frameworks often experience constraints when adjusting to evolving circumstances. They frequently lack resources, qualified experts, skills, and capabilities to enable the efficient implementation of DT within the organization. In this paper, Eurostat datasets were analyzed to uncover trends in SME digitalization and sustainability, focusing on patterns in data utilization, employee training, and environmental considerations. These insights were integrated into an altered Ecocanvas sustainability modeling tool to develop a framework supporting their strategic planning and decision-making. It has proven to be a useful tool for this purpose by mapping business processes against sustainability and strategic goals while indicating where digital or alternative solutions can be introduced. SMEs analyze data and consider environmental impacts at different levels based on their size categories. To determine whether these differences are statistically significant, we have performed one-way ANOVA tests. This paper aims to provide a data-driven situational analysis and tool, which outlines the benefits of data analytics from several aspects while offering practical recommendations for company leaders to consider and implement.},
	year = {2025},
	eissn = {2227-7099},
	pages = {49},
	orcid-numbers = {Várallyai, László/0000-0002-0795-9527; Botos, Szilvia/0000-0003-4873-1032}
}

@misc{MTMT:36162117,
	title = {A nyers kávé globális kereskedelmi hálózatának szerkezete és dinamikája (2001– 2023) [konferencia előadás]},
	url = {https://m2.mtmt.hu/api/publication/36162117},
	author = {Pancsira, János and Lengyel, Péter},
	unique-id = {36162117},
	year = {2025},
	orcid-numbers = {Lengyel, Péter/0000-0003-0737-8586}
}

@misc{MTMT:36162125,
	title = {MI-használati indikátorok fejlesztése a hallgatói digitális felkészültség és alkalmazási szokások mérésére [konferencia előadás]},
	url = {https://m2.mtmt.hu/api/publication/36162125},
	author = {Lengyel, Péter and Emese, Felvégi and Füzesi, István},
	unique-id = {36162125},
	year = {2025},
	orcid-numbers = {Lengyel, Péter/0000-0003-0737-8586}
}

@misc{MTMT:36162148,
	title = {A láthatatlan szerző nyomában -- MIgenerált szövegek és a humanizált tartalmak felismerésének kihívásai : [konferencia előadás]},
	url = {https://m2.mtmt.hu/api/publication/36162148},
	author = {Füzesi, István and Pancsira, János},
	unique-id = {36162148},
	year = {2025}
}

@article{MTMT:36178743,
	title = {How can data analytics and employee upskilling foster digital maturity and sustainable practices in SMES?},
	url = {https://m2.mtmt.hu/api/publication/36178743},
	author = {Bálint, Péter Levente and Péntek, Ádám and Nábrádi, Zsófia and Botos, Szilvia},
	doi = {10.21511/ppm.23(2).2025.44},
	journal-iso = {PROBLEMS AND PERSPECTIVES IN MANAGEMENT},
	journal = {PROBLEMS AND PERSPECTIVES IN MANAGEMENT},
	volume = {23},
	unique-id = {36178743},
	issn = {1727-7051},
	abstract = {The accelerating pace of digital and environmental transformation presents both opportunities and challenges for small- and medium-sized enterprises (SMEs) across the European Union. While digital tools like data analytics can significantly boost operational efficiency and sustainability, many SMEs lack the internal capabilities to fully leverage them. This study investigates how upskilling employees in digital competencies can help SMEs enhance their digital maturity and achieve long-term resilience. A descriptive trend analysis was based on Eurostat datasets focusing on enterprise size categories and examining indicators such as data analytics activities, the prevalence of ICT training, and difficulties encountered in recruiting ICT specialists. Visualized through Tableau, the data reveal notable disparities: in 2023, only 14.5% of small and 33.8% of medium-sized enterprises with high digital maturity performed data analytics, compared to 59.4% of large enterprises. Despite clear demand, only 5% of small and 20% of medium enterprises attempted to recruit ICT-skilled personnel, frequently citing a lack of qualified candidates or unaffordable salary expectations. SMEs rely on their own staff for data analytics tasks, yet many still do not offer structured training. While countries like Finland stand out, with 61.7% of medium enterprises providing ICT upskilling, others fall well below the EU average. These results underscore that internal skill development is not just a workaround but a strategic necessity for SMEs striving to keep pace with digital demands, overcome labor market constraints, and build a foundation for sustainable growth.},
	year = {2025},
	eissn = {1810-5467},
	pages = {606-620},
	orcid-numbers = {Botos, Szilvia/0000-0003-4873-1032}
}

@article{MTMT:34403489,
	title = {Agricultural and business digitalisation degree in achieving sustainable development goals},
	url = {https://m2.mtmt.hu/api/publication/34403489},
	author = {Várallyai, László and Botos, Szilvia and Bálint, Péter Levente and Kovács, Tamás and Szilágyi, Róbert},
	doi = {10.1504/IJSAMI.2023.10060658},
	journal-iso = {INT J SUSTAIN AGRIC MANAGE INFORM},
	journal = {INTERNATIONAL JOURNAL OF SUSTAINABLE AGRICULTURAL MANAGEMENT AND INFORMATICS},
	volume = {10},
	unique-id = {34403489},
	issn = {2054-5819},
	year = {2024},
	eissn = {2054-5827},
	pages = {327-345},
	orcid-numbers = {Várallyai, László/0000-0002-0795-9527; Botos, Szilvia/0000-0003-4873-1032; Szilágyi, Róbert/0000-0002-1783-6483}
}

@book{MTMT:35483228,
	title = {Business Informatics. academic lecture notes},
	url = {https://m2.mtmt.hu/api/publication/35483228},
	isbn = {9789636151812},
	editor = {Lengyel, Péter},
	publisher = {Debreceni Egyetemi Kiadó},
	unique-id = {35483228},
	year = {2024},
	orcid-numbers = {Lengyel, Péter/0000-0003-0737-8586}
}

@{MTMT:35483229,
	title = {Information Systems},
	url = {https://m2.mtmt.hu/api/publication/35483229},
	author = {Lengyel, Péter},
	booktitle = {Business Informatics},
	unique-id = {35483229},
	year = {2024},
	pages = {31-48},
	orcid-numbers = {Lengyel, Péter/0000-0003-0737-8586}
}

@article{MTMT:35996737,
	title = {Towards Agriculture 5.0 in the European Union: Training and digital skill trends in the agricultural sector},
	url = {https://m2.mtmt.hu/api/publication/35996737},
	author = {Bálint, Péter Levente and Botos, Szilvia and Várallyai, László},
	journal-iso = {CEUR WORKSHOP PROC},
	journal = {CEUR WORKSHOP PROCEEDINGS},
	volume = {3930},
	unique-id = {35996737},
	year = {2024},
	eissn = {1613-0073},
	pages = {46-50},
	orcid-numbers = {Botos, Szilvia/0000-0003-4873-1032; Várallyai, László/0000-0002-0795-9527}
}

@article{MTMT:35997420,
	title = {Enhancing data accuracy in agri-food forecasting: Methods and implications for informed decision-making},
	url = {https://m2.mtmt.hu/api/publication/35997420},
	author = {Várallyai, László and Botos, Szilvia and Bálint, Péter Levente and Takács, Viktor László and Szilágyi, Róbert},
	journal-iso = {CEUR WORKSHOP PROC},
	journal = {CEUR WORKSHOP PROCEEDINGS},
	volume = {3930},
	unique-id = {35997420},
	keywords = {food industry; trend analysis},
	year = {2024},
	eissn = {1613-0073},
	pages = {58-63},
	orcid-numbers = {Várallyai, László/0000-0002-0795-9527; Botos, Szilvia/0000-0003-4873-1032; Takács, Viktor László/0000-0001-8433-6115; Szilágyi, Róbert/0000-0002-1783-6483}
}