The Analysis of Electronic Commerce in the SPSS Software Package Version 26


DOI: https://doi.org/10.15308/Sinteza-2024-103-111
Authors:
Marko Pavlović
Đorđe Dihovični
Dragan Kreculj
Nada Ratković Kovačević
Milena Ilić

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Keywords:
Digital Economy, E-commerce, Internet, SPSS, User Experience


Abstract:
Digital economy is a term used in the new sphere of business and management. The subject of research in this paper is the development of trade in the newly created conditions of digitization and the examination of users' perception and experience of the use of the e-stores. It is known that contemporary trade is increasingly offered via (over) the Internet, and to succeed on the e-market it is necessary to raise consumer’s awareness of new opportunities that are available on the global network. There have been major changes in the way of running business and performing management, in such a way that electronic commerce is becoming a standard. It can be stated that e-commerce is also the beginning of the digital revolution, which cannot evolve without a scientific and technological process and progress. Based on the research subject selected, the aim of this study is to analyse the level of awareness of consumers of digital trade in Serbia and user’s experience. The expected results of this study are to gain viable information on how well the digital commerce performs. This study also indicates the possible ways to improve electronic commerce based on the user impressions and opinions.

CITATION:

IEEE format

M. Pavlović, . Dihovični, D. Kreculj, N. Ratković Kovačević, M. Ilić, “The Analysis of Electronic Commerce in the SPSS Software Package Version 26,” in Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science, Belgrade, Singidunum University, Serbia, 2024, pp. 103-111. doi:10.15308/Sinteza-2024-103-111

APA format

Pavlović, M., Dihovični, ., Kreculj, D., Ratković Kovačević, N., Ilić, M. (2024). The Analysis of Electronic Commerce in the SPSS Software Package Version 26. Paper presented at Sinteza 2024 - International Scientific Conference on Information Technology, Computer Science, and Data Science. doi:10.15308/Sinteza-2024-103-111

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