Based on COVID-19, Analysis of the Strategic Model of E-commerce Enterprises—A Case Study of Xiaohongshu (RED)

Chuyue, CHEN; Haitao, OUYANG; Jiaqi, TAN; Wu, Fan; Yuqian, ZHAN

doi:10.17265/2159-5542/2022.08.008

Cited by 4 publications

(5 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Xiaohongshu is a social e-commerce platform that primarily provides users with information sharing on shopping, lifestyle, travel, beauty, and fashion [15]. Users can browse through other users' shares to learn about detailed information on products, such as user experiences and purchasing methods [16].…”

Section: Overview Of Xiaohongshumentioning

confidence: 99%

“…As issues related to data privacy and AI decision transparency become increasingly prominent, governments of various countries are paying more attention to these matters and may enact stricter regulations to govern company practices [15]. For instance, if Xiaohongshu fails to obtain sufficient user consent while using AI technology to process user data or if its decision-making processes lack transparency, it may violate these regulations and face legal risks.…”

Section: Threatsmentioning

confidence: 99%

See 1 more Smart Citation

The analysis of social E-commerce with artificial intelligence

Kang,

Wang,

Yang

2024

ACE

View full text Add to dashboard Cite

Nowadays, with the widespread popularization and development of the internet, the e-commerce industry has begun to rise, among which social e-commerce, as a new community, has become popular on the Internet. At the same time, the field of artificial intelligence is slowly infiltrating into every field of today's society. The diversified data contained in the social e-commerce platform has great potential value, but artificial intelligence, as an important technology of information analysis, is rarely applied in this direction. This paper fundamentally discusses the role of artificial intelligence in e-commerce. Taking Xiaohongshu as an example, the SWOT framework is used to analyze the advantages and drawbacks, potential benefits and risks caused by the application of artificial intelligence in an e-commerce platform with rich user data. The limitation and extensibility of artificial intelligence in e-commerce platforms, finally put forward the application prospect of artificial intelligence in the e-commerce direction. This study recommends that the social e-commerce community establish a robust data privacy protection system, increase investment in technology research and development, and fully leverage the potential of AI technology.

show abstract

Section: Overview Of Xiaohongshumentioning

confidence: 99%

Section: Threatsmentioning

confidence: 99%

The analysis of social E-commerce with artificial intelligence

Kang,

Wang,

Yang

2024

ACE

View full text Add to dashboard Cite

show abstract

“…It is permitting items to be profoundly coordinates with life. This approach makes clients think that the stage features a higher sense of reference and believe [14]. For Xiaohongshu, the community provides user stickiness to attract traffic for e-commerce.…”

Section: Xiaohongshumentioning

confidence: 99%

Comparison of Bigdata Application in User Behavior for Short Video Industry: TikTok and Xiaohongshu

Li¹

2022

BCPBM

View full text Add to dashboard Cite

With the progression of innovation, the applications created based on enormous information will gotten to be increasingly copious. Since the computing control of computers and the gigantic sum of information accessible are not easy issue, cleverly applications spoken to by manufactured insights and profound learning will ended up more astute. Within the setting of such industry competition, each brief video stage still must deeply understand the contrasts of its clients in numerous division measurements, so as to realize more precise advertise situating and define more sensible improvement methodologies. This article uses two platforms which analyze user behaviors depending on bigdata. AARRR Model is a technological tool that helps firms to find their problems. Bigdata is a basic section to build up such model. According to the analysis, the two companies built their own big data analysis methods based on this model to help them achieve greater success. These results shed light on guiding further exploration of big data analysis implementation for short video industry.

show abstract

“…There is a big gap between cross-border e-commerce transactions and traditional trade [9][10][11][12] . The number of transaction batches is large, and the amount of transactions is small, which can effectively reduce the risks in the trade process and solve many problems in the trade process.…”

Section: Introductionmentioning

confidence: 99%

Research on Influencing Factors of Repurchase Rate of Hainan Cross-border E-commerce Platform Based on User Experience

Yuan,

Chen

2024

Preprint

View full text Add to dashboard Cite

The conventional analysis method of influencing factors on the repurchase rate of cross-border e-commerce platforms mainly uses SPSS17.0 to obtain the influencing factors, which is vulnerable to the impact of customer experience competition, leading to the high variance between the influencing factor analysis groups. Therefore, an effective analysis method of influencing factors on the repurchase rate of cross-border e-commerce platforms in Hainan needs to be designed based on user experience. That is to say, the preference index of Hainan cross-border e-commerce platform repurchase is selected based on the repurchase impact variables of Hainan cross-border e-commerce platform, and then the contribution value of the variables is calculated using the stepwise regression analysis method, and the regression model of factors affecting the repurchase rate of Hainan cross-border e-commerce platform is constructed, thus realizing the analysis of factors affecting the repurchase rate of Hainan cross-border e-commerce platform. The case analysis results show that the inter group variance of the designed analysis method of factors affecting the repurchase rate of Hainan cross-border e-commerce platform based on user experience is small, which proves that the designed analysis method of factors affecting the repurchase rate is effective, accurate, and has certain application value, and has made certain contributions to improving the comprehensive sales profit of Hainan cross-border e-commerce platform.

show abstract

Based on COVID-19, Analysis of the Strategic Model of E-commerce Enterprises—A Case Study of Xiaohongshu (RED)

Cited by 4 publications

References 7 publications

The analysis of social E-commerce with artificial intelligence

The analysis of social E-commerce with artificial intelligence

Comparison of Bigdata Application in User Behavior for Short Video Industry: TikTok and Xiaohongshu

Research on Influencing Factors of Repurchase Rate of Hainan Cross-border E-commerce Platform Based on User Experience

Contact Info

Product

Resources

About