@article{MTMT:34656834,
	title = {The effect of digitalisation for industry 4.0},
	url = {https://m2.mtmt.hu/api/publication/34656834},
	author = {Korkut, Ilgin and Várallyai, László},
	doi = {10.17700/jai.2023.14.2.706},
	journal-iso = {AGRÁRINFORMATIKA / AGRICULT INFORM},
	journal = {AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS},
	volume = {14},
	unique-id = {34656834},
	issn = {2061-862X},
	abstract = {The economic system that exists in the world has a structure that initiates the private sector. This situation forces the public sector to focus on innovation and change. In this context, all private or public sectors benefit from information and communication technologies. Governments and international organizations must create the necessary regulations for societies to integrate into a new technology-driven industry. Industries will continue to evolve rapidly as it is now inevitable that these new technologies will be adopted to succeed in the market. In addition, 3D printing (additive manufacturing) is bringing about dramatic improvements in industries. Cloud and IoT services allow companies to store data more efficiently. Companies and businesses that cannot keep pace with innovation and transformation cannot adapt to the new economic system. Industry 4.0 offers many opportunities for more efficient and productive production processes. The future winners will be those businesses open to taking revolutionary steps in the industry.. At the same time, it is undeniable that the new digital age will increase inequality in income distribution worldwide. In this respect, governments and organizations should play a regulatory role to ensure that digital transformation has the least possible negative impact on businesses. These new technologies are becoming more affordable today, and some industries are taking cooperative steps to adopt them.},
	year = {2024},
	pages = {19-25},
	orcid-numbers = {Várallyai, László/0000-0002-0795-9527}
}

@article{MTMT:34656992,
	title = {Literature review: Factors Affecting Product Innovation in ICT Enterprises},
	url = {https://m2.mtmt.hu/api/publication/34656992},
	author = {Huyen, Nguyen Thi Khanh and Várallyai, László},
	doi = {10.17700/jai.2023.14.2.704},
	journal-iso = {AGRÁRINFORMATIKA / AGRICULT INFORM},
	journal = {AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS},
	volume = {14},
	unique-id = {34656992},
	issn = {2061-862X},
	abstract = {The primary purpose of this research is to examine the driving forces behind product innovations in the information and communication technology industry in both Vietnamese and Hungarian contexts. The objective of this research project is to carefully dissect the complexities and multiplicity dimensions of the actors involved in the innovation procedure in the ICT firms located in these countries based on a highly organised mixed-method approach. Outcome expectations are expected to yield results beyond contributing positively to the pool of academic knowledge and practical gains that could be put into use at once within the sphere.},
	year = {2023},
	pages = {57-65},
	orcid-numbers = {Várallyai, László/0000-0002-0795-9527}
}

@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 AGRI MANAG INFO},
	journal = {INTERNATIONAL JOURNAL OF SUSTAINABLE AGRICULTURAL MANAGEMENT AND INFORMATICS},
	volume = {1},
	unique-id = {34403489},
	issn = {2054-5819},
	year = {2023},
	eissn = {2054-5827},
	orcid-numbers = {Várallyai, László/0000-0002-0795-9527; Botos, Szilvia/0000-0003-4873-1032; Szilágyi, Róbert/0000-0002-1783-6483}
}

@article{MTMT:33846961,
	title = {Using Agile in Implementing Agriculture AI Projects and Farm Management},
	url = {https://m2.mtmt.hu/api/publication/33846961},
	author = {Al Jafa, Hasan and Várallyai, László},
	doi = {10.17700/jai.2023.14.1.684},
	journal-iso = {AGRÁRINFORMATIKA / AGRICULT INFORM},
	journal = {AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS},
	volume = {14},
	unique-id = {33846961},
	issn = {2061-862X},
	year = {2023},
	pages = {1},
	orcid-numbers = {Al Jafa, Hasan/0000-0003-3248-7952; Várallyai, László/0000-0002-0795-9527}
}

@article{MTMT:33629255,
	title = {Role of Artificial Intelligence in Human Resource Management in the Middle East Countries},
	url = {https://m2.mtmt.hu/api/publication/33629255},
	author = {Várallyai, László and Hmoud, Bilal},
	doi = {10.18502/kss.v8i1.12663},
	journal-iso = {KnE Social Sciences},
	journal = {KnE Social Sciences},
	volume = {2023},
	unique-id = {33629255},
	issn = {2518-668X},
	abstract = {The primary goal of this article is to contribute to the field of technology adoption research by providing researchers, organizations, HR leaders, service providers, and decision-makers with advanced understanding and valid inputs on the development of AI-based HR solutions and the determinants of adoption. The overall objective of this research is to determine the general attitude of HR managers toward the adoption of AI in HRM and to assess the factors that determine the adoption of AI from the perspective of HR managers. The proposed adoption factors were grouped into four constructs, innovation characteristics, trust, technology-organizational-environment (TOE) factors, and emphasized HR roles within the organization. The research was conducted among HR managers in Middle Eastern countries, specifically Jordan, Kuwait, Saudi Arabia, and Qatar. An online questionnaire was used to collect data from a total of 389 respondents. The results showed that respondents were largely positive toward AI applications in HRM. This positive attitude can be inferred from the mean values of two variables, relative advantage and attitude toward the application of AI in HRM. The research results showed that HR managers have a positive attitude and confidence that emerging AI applications can contribute to supporting the efficiency, effectiveness, and quality of HRM. In addition, the results showed a constructive perception of the relative benefits of AI. Researchers, policymakers, and service providers are also recommended to investigate the phenomenon from two perspectives, first, the impact of attitudes on actual adoption decisions and second, the factors that influence this impact.Keywords: artificial intelligence, HRM, technology adoption, HR leaders, technologicalorganizational- environmental},
	year = {2023},
	pages = {435-448}
}

@inproceedings{MTMT:33623532,
	title = {Agriculture and education 4.0},
	url = {https://m2.mtmt.hu/api/publication/33623532},
	author = {Várallyai, László},
	booktitle = {Green Deal - Future Perspectives},
	unique-id = {33623532},
	abstract = {The rapid development of information and communication technologies has revolutionised agriculture. The main concept of Agriculture 4.0 is the evolution of precision farming through the automated collection, integration and analysis of previously isolated data Farmers must therefore be highly prepared to embrace the upcoming digital changes and increase or acquire new ICT knowledge and skills. ICT tools open new potentials for on-the-job, individual workplace learning, using new methods and models of education such as personal learning clouds or setting up personal learning environments. All of these helps to solve one of the main challenges reducing existing skill gaps. Thereby the key purpose of the study is to identify the term Agriculture 4.0, to determine the potential of automation and the main required skills and modern learning methods that farmers can use for developing and transformation in the framework of Agriculture 4.0. The main method was the analysis of statistical data characterizing the level of development of the digital Industry, index method, and rating assessment method. To calculate automation potential, McKinsey Global Institute (MGI) broke down all occupations into tasks and activities and estimated what ratio of those activities per different occupation could be automated. Based on this breakdown and the distribution of occupations in various sectors, MGI determined a sector's automation potential for Hungary. We can use and analyse data from the Eurostat database too MGI's assessing automation potential according to employment numbers indicates that such industries as agriculture (56%), manufacturing (64%), transportation (59%), and mining (62%) experience the greatest impact from automation. MGI's analysis also estimates that globally, as much as 49 percent of current work hours could be technically automated. However, the findings do not mean automated machines will replace 49 percent of jobs. MGI's research indicates that less than 5 percent of occupations can be fully automated with current automation technologies, while a third of the activities in 60 percent of the occupations can be automated. Available estimates, based on the Eurostat database prove that the growing demand for e-skills is a core trend in the labour market. For example, Figure 3 presents that the number of persons employed as ICT specialists in Europe grew by 49% during the period from 2010 to 2019, which was 7 times as high as the corresponding increase (7%) for the total employment in EU-28. This paper finally examines the role and tasks of agricultural digitalization education. The major challenges and possibilities of agricultural digitization are inevitable. This article shows why digitization is necessary for agriculture, and also created a proposal for a Curriculum for agridigitization at BSc level. There are five suggested subjects groups. We think that new education programmes and new approaches to an extension would be also needed to accelerate the transition to digitized agriculture.},
	year = {2022},
	pages = {345-358},
	orcid-numbers = {Várallyai, László/0000-0002-0795-9527}
}

@article{MTMT:33623339,
	title = {LoRa and IoT tools usage possibility in the agricultural sectors},
	url = {https://m2.mtmt.hu/api/publication/33623339},
	author = {Várallyai, László},
	doi = {10.17700/jai.2022.13.2.680},
	journal-iso = {AGRÁRINFORMATIKA / AGRICULT INFORM},
	journal = {AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS},
	volume = {13},
	unique-id = {33623339},
	issn = {2061-862X},
	abstract = {In this paper, I present a LoRa spread spectrum networking device that provides significant efficiency improvements over previously used techniques through digital techniques. Subsequently, the LoRaWAN network is presented, which can communicate with the network server available on the Internet through gateways. Their data rate and transmission power can be optimised depending on the distance from the base stations and the time required for communication can be measured in tens of seconds.In the second major part of the article, Internet of Things devices that also communicate with each other using the LoRa network will be presented. It allows smart devices used in our everyday life to communicate, which are supported by sensors and transmitters to record states and perform actions.IoT devices are also becoming increasingly common in agriculture. Farmers who are already using the technology can better monitor their livestock and crops. IoT can also be used effectively in many areas of agriculture, including dairy, vegetable, fruit and greenhouse operations.},
	keywords = {IoT; LoRa; agricultural sectors.},
	year = {2022},
	pages = {26-32},
	orcid-numbers = {Várallyai, László/0000-0002-0795-9527}
}

@{MTMT:32791469,
	title = {Application Possibilities of IoT-based Management Systems in Agriculture},
	url = {https://m2.mtmt.hu/api/publication/32791469},
	author = {Tóth, Mihály and Felföldi, János and Várallyai, László and Szilágyi, Róbert},
	booktitle = {Information and Communication Technologies for Agriculture : Theme II: Data},
	doi = {10.1007/978-3-030-84148-5_4},
	unique-id = {32791469},
	abstract = {The optimization of agricultural production and business processes is a crucial task in order to fulfill the demand of the increasing population, to meet quality requirements, to reduce the environmental impact as well as to improve economic efficiency. The Industry 4.0 concept provides various methods in this regard, including data acquisition based on IoT (Internet of Things), or data analytics based on Big Data, to support the decision-making process of the management and the data requirement of process control methods. During preliminary research, several modular data acquisition systems, as well as management applications have been developed based on a production system to measure various environmental factors at multiple spatial points. Considering the experience gained from the testing sessions, there was a need for further development regarding the end-user perspective in order to substantiate the practical application. A comparative research was required, considering previous experience and the literature of data acquisition systems, used in agriculture. The comparison concerned an own iteration of a production system and other systems, developed by researchers of the field, to examine different options and directions. Considering three important factors, the focus was on the data acquisition systems, data management, and data utilization methods. The comparison begins with a quantitative bibliometric analysis, determining the field and characteristic connections using network and cluster analysis, considering the IoT concept as the central element. Subsequently, the progression of a system and its evaluation is presented, performed in a greenhouse. This iteration highly focuses on data management with the modification of the existing infrastructure by integrating the Hadoop ecosystem to achieve a standardized interface.},
	keywords = {Mezőgazdaság; döntéstámogatás; big data; Internet of Things},
	year = {2022},
	pages = {77-102},
	orcid-numbers = {Felföldi, János/0000-0002-3895-6636; Várallyai, László/0000-0002-0795-9527; Szilágyi, Róbert/0000-0002-1783-6483}
}

@article{MTMT:32252570,
	title = {Egészségügyi mobilapplikációkra történő használati szándék mérése UTAUT-modellben: tanulmány egy online felmérés eredményei alapján},
	url = {https://m2.mtmt.hu/api/publication/32252570},
	author = {Kovács, Tamás and Várallyai, László},
	doi = {10.22503/inftars.XXI.2021.1.7},
	journal-iso = {INF TARS},
	journal = {INFORMÁCIÓS TÁRSADALOM: TÁRSADALOMTUDOMÁNYI FOLYÓIRAT},
	volume = {21},
	unique-id = {32252570},
	issn = {1587-8694},
	year = {2021},
	pages = {166-187},
	orcid-numbers = {Várallyai, László/0000-0002-0795-9527}
}

@article{MTMT:32210362,
	title = {Artificial Intelligence In Talent Acquisition, Do we Trust It?},
	url = {https://m2.mtmt.hu/api/publication/32210362},
	author = {Hmoud, Bilal and Várallyai, László},
	doi = {10.17700/jai.2021.12.1.594},
	journal-iso = {AGRÁRINFORMATIKA / AGRICULT INFORM},
	journal = {AGRÁRINFORMATIKA / JOURNAL OF AGRICULTURAL INFORMATICS},
	volume = {12},
	unique-id = {32210362},
	issn = {2061-862X},
	year = {2021},
	pages = {41-51}
}