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001-es BibID:	BIBFORM096820
Első szerző:	Harcsa Imre Milán (közgazdász)
Cím:	Economic analysis of subcontract distilleries by simulation modeling method / Harcsa Imre Milán, Kovács Sándor, Nábrádi András
Dátum:	2020
ISSN:	1222-569X 1582-5450
Tárgyszavak:	Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk
Megjelenés:	The Annals of the University of Oradea. Economic Sciences. - 29 :1 (2020), p. 39-49. -
További szerzők:	Kovács Sándor (1978-) (matematika tanár) Nábrádi András (1956-) (közgazdász, agrárökonómus)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM074430
Első szerző:	Oláh Judit (agrárközgazdász, logisztika)
Cím:	Applying big data algorithms for sales data stored in SAP HANA / Judit Oláh, Edina Erdei, József Popp
Dátum:	2017
ISSN:	1222-569X 1582-5450
Megjegyzések:	An increasing number of small and medium enterprises operate and supervise their financial, logistics, production, human resource and other activities with ERP (Enterprise Resource Planning) IT systems, which are capable of managing these processes in a uniform framework. It is our research objective to explore analytical and prediction methods which can provide solutions to various financial and logistics problems that are faced by nowadays' enterprises. In order to achieve this objective, we analysed a real database of an enterprise using SAP. This database covers the period between January 2013 ? October 2016 and contains 7 million sales records of 15,674 different products. These products also include currently inactive items, however, they can still be important from the aspect of data analysis in relation to the examined period. The data structure was created using the recently introduced SAP HANA (High Performance Analytic Appliance) database management system which revolutionised data storage with its in-memory and column-oriented features. This new technology makes it possible to execute various transactions more effectively and more quickly. Following the preparation of the schematics of data needed for processing and the calculation of calculation fields, we used the tools provided by SAP Predictive Analytics which was introduced to the market in 2015. After filtering sales data for 15 quarters, we used k-means clustering for each period. After preparing and examining the clusters, we made observations which make it easier to perform stock management, logistics and pricing activities in the future, thereby contributing to the long-term increase of enterprise profit. Clustering was also performed in R programming language, which enabled us to illustrate the clustering results, i.e., each sales record in 3D, colouring them based on their associated cluster label. After inspecting these graphic outputs, it was concluded that certain products should be withdrawn from the market, while others should be either developed or their stock level increased.We used regression analysis on the cluster centroids to predict the movement of each cluster mainly in terms of time. As a result, we provided an estimation as to the direction that the products belonging to the sales records in each cluster will fluctuate to in accordance with the coordinates of the cluster centroids, thereby making recommendations related to the management of each item and group of items. As a next step, we performed a global F test for regression analysis to examine the correctness of our model. As a conclusion, we reject the null hypothesis which stated that our model is basically invalid
Tárgyszavak:	Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény külföldi lapban regression analysis k-means clustering R programming language SAP Predictive Analytics SAP HANA
Megjelenés:	Annals of the University of Oradea Economic Science. - 26 : 1 (2017), p. 453-461. -
További szerzők:	Erdei Edina (1992-) (gazdaságinformatikus) Popp József (1955-) (közgazdász)
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM066656
Első szerző:	Zulfiqar, Sehar (közgazdász)
Cím:	Financial performance of Islamic banks in the United Arab Emirates, Pakistan and Jordan: a case comparative study in a dupont approach / Sahar Zulfiqar, Hossam Haddad, Yahya Al-Shehhi, Domicián Máté
Dátum:	2016
ISSN:	1222-569X 1582-5450
Megjegyzések:	Islamic banking system has observed a high remarkable growth in the circles of global finance since the last three decades. This paper is intended to provide a perspective of Islamic banking in three countries, namely in the United Arab Emirates (UAE), Jordan and Pakistan by analyzing the financial performance of Dubai Islamic Bank (DIB) operating in these countries. A DuPont method is used for our financial analysis. This article consists of two main parts. The first one provides an overview of Islamic banking system and the other represents some empirical findings. In this perspective our study highlights that the financial performance (return on equity) of DIB is better than in UAE comparing to Pakistan and Jordan. The variability of our results can be attributed to several determinants; i.e. different profitability, efficiency and debt policy, and the Islamic institutional environment. Consequently, the age of banks and length of implementation of Islamic banking in the respective countries are also matter.
Tárgyszavak:	Társadalomtudományok Közgazdaságtudományok idegen nyelvű folyóiratközlemény külföldi lapban Islamic Banks Financial Performance Dupont Method
Megjelenés:	Analele Universităţii din Oradea. Ştiinţe economice = Annals of University of Oradea. Economic science. - 25 : 2 (2016), p. 403-409. -
További szerzők:	Haddad, Hossam (1983-) (közgazdász) Alshehhi Yahya Zakareyya Hasan (1972-) (közgazdász) Máté Domicián (1976-) (közgazdász, informatika tanár)
Internet cím:	Szerző által megadott URL Intézményi repozitóriumban (DEA) tárolt változat
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