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001-es BibID:	BIBFORM075007
Első szerző:	Kitukutha, Nicodemus Mutinda (közgazdász)
Cím:	Trust and e-commerce, case study on Jumia Company / Nicodemus Kitukutha, Judit Oláh
Dátum:	2018
ISSN:	1222-569X 1582-5450
Megjegyzések:	In the recent past, E-commerce has been growing rapidly, the tremendous growth of online companies mushrooming everywhere. This has created many business opportunities for the different segment of business in Kenya. Business to Business, Business to Consumers, Consumers to Consumers, However, we will concentrate on the Business to Consumers form of business. Therefore, this paper will do research reviews on issues of security, privacy, and trust surrounding e-commerce in Kenya to ensure that the consumers gain trust in these online companies. The purpose of the study will be to provide solutions facing e-commerce in terms of the trust, security, and privacy. Consumer distrust is a major concern, mainly regarded as the protection of private information and the fear of the risk of being exposed to online fraudulent activities. This has been the main obstacle to e-commerce in Kenya. With all the benefits that online business present to the companies and consumers, it is the best interest of the companies to increase its trustworthiness to its users. Some of the online crimes will be analyzed and solutions provided with practical guidelines to achieve confidence in the online business environment. The research will be significant to scholars, government, academicians and other stakeholders in the implementation of policy and laws that can govern E-commerce in Kenya. This will be made possible by analysis of the Jumia company which has been operating in Kenya for the last for the last five years with the tremendous growth and been preferred by most of the consumers in the country. It will demonstrate how different reviews conducted previously were of additional value to the current research. The research shows the challenges faced by e-commerce and also provides the possible solutions for the challenges. In the conclusion, it recommends what the government, online companies, and consumers should do to embrace online business and reap the full benefits of e-commerce.
Tárgyszavak:	Társadalomtudományok Közgazdaságtudományok idegen nyelvű folyóiratközlemény külföldi lapban e-commerce trust security privacy kenya
Megjelenés:	The Annals of the University of Oradea, Economic Sciences. - 27 : 1 (2018), p. 313-323. -
További szerzők:	Oláh Judit (1973-) (agrárközgazdász, logisztika)
Internet cím:	Szerző által megadott URL 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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