@article{MTMT:34760161,
	title = {AI-Based Solution for Sustainability Tracing for Companies},
	url = {https://m2.mtmt.hu/api/publication/34760161},
	author = {Pisoni, Galena and Molnár, Bálint},
	doi = {10.4018/IJKM.340723},
	journal-iso = {IJKM},
	journal = {INTERNATIONAL JOURNAL OF KNOWLEDGE MANAGEMENT},
	volume = {20},
	unique-id = {34760161},
	issn = {1548-0666},
	abstract = {Many companies look for novel ways to trace their operational sustainability. The application of AI to analyze and make sense of the big data the company holds represents one promising approach for this aim. The authors study how one can set and design an AI-based solution for improving the sustainability of complex business processes and decision-making in companies of different types. First, they provide a general analysis of current frameworks for measuring adherence to sustainability goals for companies, then they present a conceptual framework and architecture design for an AI-enabled sustainability service for companies. The implications of our research suggest that AI can provide distinct functions: (a) automation: taking big data from different departments and analyzing them with the aim of tracing the sustainability of the company; (b) support: to help decision-making and create relevant insights for stakeholders that are coherent with defined sustainability decision criteria. To the authors' knowledge, no previous research has provided analysis and design of such AI solution for companies.},
	year = {2024},
	eissn = {1548-0658},
	pages = {1-17},
	orcid-numbers = {Pisoni, Galena/0000-0002-3266-1773; Molnár, Bálint/0000-0001-5015-8883}
}

@CONFERENCE{MTMT:34741958,
	title = {REDUCING COMPLEXITY BY USING LINGUISTIC SUMMARIES FOR BUSINESS INTELLIGENCE REPORTING},
	url = {https://m2.mtmt.hu/api/publication/34741958},
	isbn = {9789898704566},
	author = {Galena, Pisoni and Erika, Mináriková and Miroslav, Hudec and Hanna, Kristin Skaftadottir and Molnár, Bálint and Miljan, Vučetić and Denisa, Sedláková},
	booktitle = {17th IADIS INTERNATIONAL CONFERENCE INFORMATION SYSTEMS 2024},
	unique-id = {34741958},
	year = {2024},
	pages = {174-178},
	orcid-numbers = {Molnár, Bálint/0000-0001-5015-8883}
}

@CONFERENCE{MTMT:34741953,
	title = {SUSTAINABILITY TRACING FOR COMPANIES: GOVERNANCE, REGULATION, ECONOMICAL AND ETHICAL CONSIDERATIONS},
	url = {https://m2.mtmt.hu/api/publication/34741953},
	author = {Galena, Pisoni and Molnár, Bálint and Szabolcs, Korba and Maria, Moloney},
	booktitle = {17th IADIS INTERNATIONAL CONFERENCE INFORMATION SYSTEMS 2024},
	unique-id = {34741953},
	year = {2024},
	pages = {136-140},
	orcid-numbers = {Molnár, Bálint/0000-0001-5015-8883}
}

@misc{MTMT:34741944,
	title = {SUSTAINABILITY TRACING FOR COMPANIES: GOVERNANCE, REGULATION, ECONOMICAL AND ETHICAL CONSIDERATIONS},
	url = {https://m2.mtmt.hu/api/publication/34741944},
	isbn = {9789898704566},
	author = {Galena, Pisoni and Molnár, Bálint and Szabolcs, Korba and Maria, Moloney},
	publisher = {International Association for Development of the Information Society Press},
	unique-id = {34741944},
	year = {2024},
	orcid-numbers = {Molnár, Bálint/0000-0001-5015-8883}
}

@article{MTMT:34536179,
	title = {Review: Quick start guide to large language models: strategies and best practices for using ChatGPT and other LLMs},
	url = {https://m2.mtmt.hu/api/publication/34536179},
	author = {Molnár, Bálint},
	journal-iso = {COMP REV - ACM},
	journal = {COMPUTING REVIEWS - ASSOCIATION FOR COMPUTING MACHINERY},
	volume = {2024},
	unique-id = {34536179},
	year = {2024},
	eissn = {1530-6585},
	orcid-numbers = {Molnár, Bálint/0000-0001-5015-8883}
}

@inproceedings{MTMT:34548975,
	title = {An Analysis of the Concept of Cognitive Enterprise Architecture Foundation of Cognitive Enterprise Archtecture},
	url = {https://m2.mtmt.hu/api/publication/34548975},
	author = {Molnár, Bálint},
	booktitle = {14th IEEE International Conference on Cognitive Infocommunications},
	doi = {10.1109/CogInfoCom59411.2023.10397536},
	unique-id = {34548975},
	year = {2023},
	pages = {107-112},
	orcid-numbers = {Molnár, Bálint/0000-0001-5015-8883}
}

@inproceedings{MTMT:34472933,
	title = {Data Management and Enterprise Architectures for Responsible AI Services},
	url = {https://m2.mtmt.hu/api/publication/34472933},
	author = {Pisoni, Galena and Molnár, Bálint},
	booktitle = {Open Science in Engineering},
	doi = {10.1007/978-3-031-42467-0_83},
	unique-id = {34472933},
	abstract = {Big data is becoming a reality. Complex and difficult-to-understand data may be found in a wide range of industries. Big data is a critical component of enterprise services and technology architectures. Data science techniques and methodologies can be applied in many aspects of the working of companies. In this paper, first, as a background, we provide an overview of knowledge management practices and data analysis strategies and techniques in the daily operations of companies working towards development of AI agents. Furthermore, we look at the need in particular companies to develop human centric AI solutions; then, we discuss the basics for cross-disciplinary research, in which we stress the need to rethink development processes of AI services and make them more responsible. Thereby, we define research questions to investigate the problem. As the research proposal discusses, companies and public institutions can create and develop new responsible, ethical, and transparent AI services.},
	year = {2023},
	pages = {879-884},
	orcid-numbers = {Pisoni, Galena/0000-0002-3266-1773; Molnár, Bálint/0000-0001-5015-8883}
}

@article{MTMT:34411978,
	title = {Knowledge Management and Data Analysis Techniques for Data-Driven Financial Companies},
	url = {https://m2.mtmt.hu/api/publication/34411978},
	author = {Pisoni, Galena and Molnár, Bálint and Tarcsi, Ádám},
	doi = {10.1007/s13132-023-01607-z},
	journal-iso = {J KNOWL ECON},
	journal = {JOURNAL OF THE KNOWLEDGE ECONOMY},
	volume = {1},
	unique-id = {34411978},
	issn = {1868-7865},
	abstract = {In today’s fast-paced financial industry, knowledge management and data-driven decision making have become essential for the success of financial technology (FinTech) companies. Big data (BD) is a prevalent phenomenon that can be found across many industries, including finance. Despite its complexity and difficulty to comprehend, big data is a critical component of financial services enterprises and technology architectures. We examine BD from various aspects, considering data science (DS) techniques and methodologies that can be applied during the operation of an enterprise. Our aim is to provide an overview of knowledge management (KM) practices and data analysis (DA) strategies and techniques in the daily operations of financial companies. We address the role of knowledge management, data analytics in a financial institution. The paper demonstrates financial institutions’ enablement for new services resulting from technological advancements.},
	year = {2023},
	eissn = {1868-7873},
	orcid-numbers = {Pisoni, Galena/0000-0002-3266-1773; Molnár, Bálint/0000-0001-5015-8883}
}

@misc{MTMT:34399662,
	title = {Mitigating Digital Asset Risks},
	url = {https://m2.mtmt.hu/api/publication/34399662},
	author = {Teng, Huei-Wen and Härdle, Wolfgang Karl and Osterrieder, Joerg and Baals, Lennart John and Papavassiliou, Vassilios G. and Bolesta, Karolina and Kabasinskas, Audrius and Filipovska, Olivija and Thomaidis, Nikolaos S. and Moukas, Alexios Ioannis and Goundar, Sam and Nasir, Jamal Abdul and Weinberg, Abraham Itzhak and Arakelian, Veni and anon, Ciprian-Octavian and Akar, Mutlu and kabaklarli, esra and Apostol, Elena-Simona and Iannario, Maria and Bedowska-Sojka, Barbara and Skaftadottir, Hanna Kristin and Schwendner, Peter and Yıldırım, Özgür and Shala, Albulena and Pisoni, Galena and Coita, Ioana Florina and Korba, Szabolcs and Hafner, Christian M. and Molnár, Bálint and Xhumari, Elda and Pele, Daniel Traian},
	doi = {10.2139/ssrn.4594467},
	unique-id = {34399662},
	year = {2023},
	orcid-numbers = {Molnár, Bálint/0000-0001-5015-8883}
}

@article{MTMT:34368042,
	title = {Review: Algorithms for constructing computably enumerable sets},
	url = {https://m2.mtmt.hu/api/publication/34368042},
	author = {Molnár, Bálint},
	journal-iso = {COMP REV - ACM},
	journal = {COMPUTING REVIEWS - ASSOCIATION FOR COMPUTING MACHINERY},
	volume = {2023},
	unique-id = {34368042},
	year = {2023},
	eissn = {1530-6585},
	orcid-numbers = {Molnár, Bálint/0000-0001-5015-8883}
}