@article{MTMT:34761821,
	title = {Digitális adatok vizsgálata a falmászásban. Egy olimpiai sportág elemzése},
	url = {https://m2.mtmt.hu/api/publication/34761821},
	author = {Bartha, Zsolt and Ács, Pongrác and Stocker, Miklós and Dobos, Imre},
	doi = {10.20311/stat2024.03.hu0284},
	journal-iso = {STATISZTIKAI SZEMLE},
	journal = {STATISZTIKAI SZEMLE},
	volume = {102},
	unique-id = {34761821},
	issn = {0039-0690},
	abstract = {A digitális technológia példátlan növekedési lehetőségeket tár fel a sportiparban, alkalmat kínálva arra, hogy innovatív és személyre szabott élményekkel hozzuk közelebb a sport világához a versenyzőket és a szurkolókat. A sportélet a digitális technológia révén különösen gyors és merész átalakuláson megy keresztül, és az okostelefonok és a táblagépek térnyerése is hozzájárulhat a sportági fejlődéshez. A lehetőségek teljes kiaknázásához azonban a sportszervezeteknek, sportvezetőknek, sportszakembereknek egyaránt digitális átállásra lesz szükségük. A digitális elemzés lehetővé teszi a sportszolgáltatások jobb megértését, a rajongók érdeklődésének felkeltését, szponzorok bevonását, az információk megosztását, valamint üzleti modellek kialakítását. Kutatásunk a falmászás kapcsán egy új olimpiai sportág fejlesztésének jellemzőit vizsgálja fiatal felnőttek körében. Ez az innováció egy innovatív edzésmódszertan kialakításával új alapokra és új irányba mozdítja el a sportszolgáltatást. Az új teljesítménymutatók – például a mászás tempója és az aktív-passzív mászóidő kutatása – hozzájárulnak ahhoz, hogy a versenyzők hatékonyabb és gyorsabb fejlődési utat járjanak be. A műfogások alá, a fal hátoldalára telepíthető speciális Clift fogásérzékelők képesek a fogás idejét és hosszát is mérni, valamint a fogások terhelését az érintéstől megkülönböztetni. A kutatás eredményei a Clift falmászószolgáltatást a világ sportfejlesztéseinek élvonalába helyezik.},
	year = {2024},
	pages = {284-302},
	orcid-numbers = {Bartha, Zsolt/0000-0002-9539-0923; Ács, Pongrác/0000-0002-4999-7345; Stocker, Miklós/0000-0003-2670-6717; Dobos, Imre/0000-0001-6248-2920}
}

@inproceedings{MTMT:34728681,
	title = {Macroeconomic processes and expectations},
	url = {https://m2.mtmt.hu/api/publication/34728681},
	author = {Tóth-Bozó, Brigitta},
	booktitle = {Green and Digital Transitions: Global Insights into Sustainable Solutions},
	doi = {10.14232/gtk.gdtgiss.2024.6},
	unique-id = {34728681},
	abstract = {The study focuses on the problem of introducing expectations, as a subjective factor, into economic theoretical models. The basis of the model presented here is the well-known conventional Keynesian IS-LM model. It also follows that the concept of the IS-LM model can be approached as a problem or task in several ways. Also used was a discretized model encompassing three distinct categories of expectations, namely, simple, adaptive, and rational. It can be concluded that the type of expectation affects the number of stable cases in the model. The inclusion of the adaptive expectation results in the highest number of stable cases within the range of economically relevant values of the parameters studied. Numerical examples illustrate the results.},
	year = {2024},
	pages = {97-111}
}

@article{MTMT:34687600,
	title = {Calculation of Ecological Land-Footprint – Based on the Input-Output Model and Focusing on the Imported Commodities},
	url = {https://m2.mtmt.hu/api/publication/34687600},
	author = {Dobos, Imre and Tóth-Bozó, Brigitta},
	journal-iso = {RES SQUARE},
	journal = {RESEARCH SQUARE : PREPRINT PLATFORM},
	volume = {1},
	unique-id = {34687600},
	year = {2024},
	eissn = {2693-5015},
	pages = {1-22},
	orcid-numbers = {Dobos, Imre/0000-0001-6248-2920}
}

@article{MTMT:34104250,
	title = {Sensitivity of TOPSIS ranks to data normalization and objective weights on the example of digital development},
	url = {https://m2.mtmt.hu/api/publication/34104250},
	author = {Bánhidi, Zoltán and Dobos, Imre},
	doi = {10.1007/s10100-023-00876-y},
	journal-iso = {CEJOR},
	journal = {CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH},
	volume = {32},
	unique-id = {34104250},
	issn = {1435-246X},
	abstract = {The European Commission's Digital Economy and Social Index (DESI) is a composite index that aims to measure the state of digital transformation in the European Union (EU) and its member states based on five principal dimensions. For each dimension, the Commission assigns predefined weights to determine the ranking of countries. The following paper ranks the member states using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS is based on two data transformations. First, it normalizes the data according to a chosen procedure and second, it assigns weights to the criteria. The aim of the study is to evaluate how the countries of the European Union can be ranked according to the five principal dimensions of the DESI but using objective weights instead of the arbitrary predefined weights of the European Commission, testing the robustness of the ranking and its sensitivity to the methods of normalization and weighting.},
	year = {2024},
	eissn = {1613-9178},
	pages = {29-44},
	orcid-numbers = {Bánhidi, Zoltán/0000-0003-0262-5197; Dobos, Imre/0000-0001-6248-2920}
}

@article{MTMT:33944640,
	title = {Dynamics of an Economic Growth Model with New Stylized Facts},
	url = {https://m2.mtmt.hu/api/publication/33944640},
	author = {Zsiros, Ádám János and Ligeti Zsombor, Gábor},
	journal-iso = {SPRINGER PROC MATH STAT},
	journal = {SPRINGER PROCEEDINGS IN MATHEMATICS AND STATISTICS},
	unique-id = {33944640},
	issn = {2194-1009},
	year = {2024},
	eissn = {2194-1017}
}

@article{MTMT:33713447,
	title = {Input and output reconsidered in supplier selection DEA model},
	url = {https://m2.mtmt.hu/api/publication/33713447},
	author = {Dobos, Imre and Vörösmarty, Gyöngyi},
	doi = {10.1007/s10100-023-00845-5},
	journal-iso = {CEJOR},
	journal = {CENTRAL EUROPEAN JOURNAL OF OPERATIONS RESEARCH},
	volume = {32},
	unique-id = {33713447},
	issn = {1435-246X},
	abstract = {The selection of input and output items is crucial for successful application of Data Envelopment Analysis (DEA) as they should express the decision maker's preferences and perceptions of what might affect the efficiency of a decision making unit (DMU). This article addresses the question of the transformation of input and output data that may be required for efficiency analyses using DEA method. Different methods for the data transformation are available in the literature, however, they may lead to different results, which may bias the decisions. This paper attempts to provide some guidance on this issue and to compare the results. An example of supplier evaluation will be used to illustrate the possible solutions and the differences in the final results (supplier evaluated to be among the efficient suppliers).},
	year = {2024},
	eissn = {1613-9178},
	pages = {67-81},
	orcid-numbers = {Dobos, Imre/0000-0001-6248-2920; Vörösmarty, Gyöngyi/0000-0003-3845-2021}
}

@article{MTMT:33676028,
	title = {Analysis of the Network Readiness Index (NRI) Using Multivariate Statistics},
	url = {https://m2.mtmt.hu/api/publication/33676028},
	author = {Tokmergenova, Madina and Dobos, Imre},
	doi = {10.3311/PPso.20548},
	journal-iso = {PERIOD POLYTECH SOC MANAG SCI},
	journal = {PERIODICA POLYTECHNICA SOCIAL AND MANAGEMENT SCIENCES},
	volume = {32},
	unique-id = {33676028},
	issn = {1416-3837},
	abstract = {The Network Readiness Index (NRI) is one of the indicators that shows the level of digital development of countries. The NRI for 2021 shows the development of 130 countries, in contrast to the 45 countries covered by the International Digital Economy and Society Index (I-DESI) of the European Union, which measures only the most developed countries. This paper aims to determine the relationship between 12 sub-pillars of NRI. We use Principal Component Analysis (PCA) to perform a mapping of our data to a lower-dimensional space, and further analyse the causal relationships between the principal sub-pillars using partial correlation coefficients, concluding that two of the twelve main sub-pillars can be explained by ten independent sub-pillars. Thereafter, we use cluster analysis to group our objects (i.e. the 130 countries) into clusters.},
	year = {2024},
	eissn = {1587-3803},
	pages = {28-36},
	orcid-numbers = {Tokmergenova, Madina/0000-0002-3125-0497; Dobos, Imre/0000-0001-6248-2920}
}

@article{MTMT:34794421,
	title = {Az additív DEA modell kereszthatékonyságának alkalmazása a beszállítóértékelésben},
	url = {https://m2.mtmt.hu/api/publication/34794421},
	author = {Dobos, Imre and Vörösmarty, Gyöngyi},
	journal-iso = {SZIGMA},
	journal = {SZIGMA},
	volume = {54},
	unique-id = {34794421},
	issn = {0039-8128},
	year = {2023},
	pages = {191-203},
	orcid-numbers = {Dobos, Imre/0000-0001-6248-2920; Vörösmarty, Gyöngyi/0000-0003-3845-2021}
}

@article{MTMT:34668667,
	title = {How Do Culture and Institutions Jointly Impact Income?. Empirical Evidence Based on Cultural and Institutional Multipliers},
	url = {https://m2.mtmt.hu/api/publication/34668667},
	author = {Kapás, Judit},
	doi = {10.3311/PPso.21855},
	journal-iso = {PERIOD POLYTECH SOC MANAG SCI},
	journal = {PERIODICA POLYTECHNICA SOCIAL AND MANAGEMENT SCIENCES},
	volume = {online first},
	unique-id = {34668667},
	issn = {1416-3837},
	abstract = {The aim of this paper is to look at the joint impact of culture and institutions on economic development by operationalizing the cultural and institutional multipliers conceptualized in the literature. The study uses regression analyses to estimate the two multipliers which are key in an understanding of the interaction of culture and institutions. As for culture, two layers are distinguished, deep culture (values) and a slow-moving cultural layer (beliefs). The cross-country empirical analyses, including IV estimations, provide evidence that the two cultural layers "behave" differently. Deep culture is not a substitute for (better) institutions, however, high-quality institutions can substitute improvement in deep culture, while in the majority of countries, in which institutions are not of high quality, institutions complement improvement in deep culture. Contrary to that, the slow-moving layer does not appear to be a significant determinant of development once institutions are controlled for. But what is more, no sign of interaction with institutions has been detectable. These findings shed light on the unique role of deep culture in economic development.},
	year = {2023},
	eissn = {1587-3803},
	pages = {https://doi.org/10.3311/PPso.21855}
}

@article{MTMT:34446608,
	title = {Tiered Data Envelopment as method for clustering suppliers},
	url = {https://m2.mtmt.hu/api/publication/34446608},
	author = {Dobos, Imre},
	doi = {10.17535/crorr.2023.0009},
	journal-iso = {CROAT OPER RES REV},
	journal = {CROATIAN OPERATIONAL RESEARCH REVIEW},
	volume = {14},
	unique-id = {34446608},
	issn = {1848-0225},
	abstract = {Effective supplier management requires continuous monitoring of the performance and capabilities of one’s supplier base. Although the literature often focuses on ranking, it has lately become increasingly important to group suppliers according to their capabilities. In this paper, we compare two clustering methods. The application of Cluster Analysis (CA) has been widely discussed in the literature. Tiered Data Envelopment Analysis (TDEA) is also well-known in the decision-making literature, but is nonetheless seldom employed in supplier evaluation. CA is only suitable for group formation on a nominal scale, whereas the TDEA method during group formation allows the groups to be formed on an ordinal scale. TDEA may therefore prove to be the more suitable method for ordinal group formation. This article attempts to bridge a research gap, which arises since the two methods are infrequently employed in supplier selection. A numerical example is used to compare their application.},
	year = {2023},
	eissn = {1848-9931},
	pages = {99-110},
	orcid-numbers = {Dobos, Imre/0000-0001-6248-2920}
}