@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}
}

@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: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: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}
}

@article{MTMT:34399474,
	title = {Országok digitális fejlettségének megállapítása lépcsőzetes DEA, lépcsőzetes Pareto-hatékonyság és klaszteranalízis felhasználásával, a 2020-as nemzetközi digitális gazdasági és társadalmi index adatai alapján},
	url = {https://m2.mtmt.hu/api/publication/34399474},
	author = {Bánhidi, Zoltán and Dobos, Imre},
	doi = {10.20311/stat2023.11.hu0978},
	journal-iso = {STATISZTIKAI SZEMLE},
	journal = {STATISZTIKAI SZEMLE},
	volume = {101},
	unique-id = {34399474},
	issn = {0039-0690},
	abstract = {Tanulmányunkban a nemzetközi digitális gazdasági és társadalmi index (I-DESI) 2020. évi kiadásának 5 fő dimenzióját használjuk fel a digitális fejlettség mérésére, azonban az Európai Bizottság szubjektív scoringmodellje helyett a döntéselmélet és a többváltozós statisztika objektív módszereit alkalmazzuk az adatbázisban szereplő országok csoportosításához, amit a Tiered Data Envelopment Analysis (lépcsőzetes burkológörbe-elemzés, TDEA) módszerével, a lépcsőzetes Pareto-hatékonysági megközelítéssel (Hasse-diagramon keresztül), valamint a k-közép klaszterezési algoritmussal végzünk el. E három módszer eredményeit ezután a Spearman-féle rhó és a Kendall-féle tau-b korrelációs együtthatók segítségével hasonlítjuk össze. A TDEA és a Hasse-módszer nagyon hasonló, közel azonos országcsoportokat eredményez, de a harmadik módszerünkkel kapott klaszterek sem különböznek ezektől túlságosan. Magyarország pozíciója a k-közép klaszterezés szerint a legjobb, a középmezőnybe helyezi hazánkat, a többi módszer viszont a mezőny alsó felébe, hasonlóan a V4 többi országához.},
	year = {2023},
	pages = {978-998},
	orcid-numbers = {Bánhidi, Zoltán/0000-0003-0262-5197; Dobos, Imre/0000-0001-6248-2920}
}

@article{MTMT:34204054,
	title = {Management applications and methodology developments in DEA - an overview of literature reviews},
	url = {https://m2.mtmt.hu/api/publication/34204054},
	author = {Vörösmarty, Gyöngyi and Dobos, Imre},
	doi = {10.1504/IJMDM.2023.134049},
	journal-iso = {INT J MANAG DECIS MAKING},
	journal = {INTERNATIONAL JOURNAL OF MANAGEMENT AND DECISION MAKING},
	volume = {22},
	unique-id = {34204054},
	issn = {1462-4621},
	abstract = {Data envelopment analysis (DEA) is a methodology that is widely used in business to measure efficiency and performance. The purpose of this literature review is to provide an overview of its areas of use and the most important methodological enhancements. The extensive literature on DEA will be reviewed with the help of previously published literature reviews. The main applications of DEA are identified as healthcare, banking and insurance, higher education and the human sphere, transportation and supply chain management, sustainability, and energy policy. The reviews mainly address service applications for benchmarking efficiency - manufacturing was not addressed. The DEA-related methodological developments were ranking, managing data status, weight and input/output selection, and network and dynamic extensions. The management literature makes much use of the DEA method for decision support and performance measurement.},
	year = {2023},
	eissn = {1741-5187},
	pages = {472-491},
	orcid-numbers = {Vörösmarty, Gyöngyi/0000-0003-3845-2021; Dobos, Imre/0000-0001-6248-2920}
}

@article{MTMT:34177102,
	title = {Cooperation in an Arrow-Karlin Type Supply Chain},
	url = {https://m2.mtmt.hu/api/publication/34177102},
	author = {Dobos, Imre},
	doi = {10.14267/CJSSP.2023.1.5},
	journal-iso = {CORVINUS J SOC SOC POLICY},
	journal = {CORVINUS JOURNAL OF SOCIOLOGY AND SOCIAL POLICY},
	volume = {14},
	unique-id = {34177102},
	issn = {2061-5558},
	abstract = {In this paper we apply cooperative game theory concepts to analyze vertical supply chains. The bullwhip effect in a two-stage supply chain (supplier-manufacturer) in the framework of the Arrow-Karlin model with linear-convex cost functions is considered. It is assumed that both firms minimize their relevant costs, and two cases are examined: the supplier and the manufacturer minimize their relevant costs in a decentralized and in a centralized (cooperative) way. The question of how to share the savings of the decreased bullwhip effect in the centralized (cooperative) model is answered by transferable utility cooperative game theory tools.},
	year = {2023},
	eissn = {2062-087X},
	pages = {107-129},
	orcid-numbers = {Dobos, Imre/0000-0001-6248-2920}
}