Do Van Tu (2023) Applying Big Data Analytics to Consumers' Responses in Vietnam's E-Commerce Industry: Pros and Cons. Külkereskedelmi Kar.
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Absztrakt (kivonat)
I will summarize the structure of my research paper. The study consists of 8 chapters: Chapter 1: A general introduction to big data and the world's achievements. This section outlines the two research questions of the thesis and the research methodology. Chapter 2: Big data and its basics In this section, I have if the concept of big data is what? The characteristics and benefits of Big data. Big data technologies that the world is applying. Chapter 3: Basic issues of customers' shopping and consumption behavior In this section, the concept of customer behavior has been mentioned about the factors that affect the purchase of customers. Chapter 4: Vietnam's e-commerce situation I mentioned the current situation of e-commerce in Vietnam, such as the characteristics of e-commerce, types of e-commerce, and the general situation in Vietnam. Chapter 5: Research Methodology In this section, I introduced the methodology and explained why I use qualitative and quantitative methods in my research. Chapter 6: Implement research methods In this section, I have done the research steps. The first is the qualitative method; I have analyzed and synthesized the positive and negative factors when applying Big data analysis to customer feedback. After having the negative and positive factors, I did a survey to apply the quantitative method and then prepared for the results in the next chapter. Chapter 7: Presenting the results After using the Power BI data analysis tool, I have presented the results of my research in this section. All data is presented in meaningful numbers and graphs. Chapter 8: Conclusions and Recommendations In this section, I summarized the findings of the qualitative and quantitative analyses and reached a conclusion. Some suggestions for developing e-commerce in Vietnam have been made.
Intézmény
Budapesti Gazdasági Egyetem
Kar
Tanszék
Nemzetközi Kereskedelem és Logisztika Tanszék
Tudományterület/tudományág
NEM RÉSZLETEZETT
Szak
Mű típusa: | diplomadolgozat (NEM RÉSZLETEZETT) |
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Kulcsszavak: | big data, big data analytics, e-commerce, Power BI, Pros and cons, Vitenam |
SWORD Depositor: | Archive User |
Felhasználói azonosító szám (ID): | Archive User |
Rekord készítés dátuma: | 2023. Ápr. 20. 13:56 |
Utolsó módosítás: | 2023. Ápr. 20. 13:56 |
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