Author(s)

Lu Jiang ¹, Ying Guo ¹, Wanting Huang ¹, Yong Dai ¹

Affiliation(s)

¹ Chongqing Institute of Engineering, Chongqing, China

Corresponding Author

Ying Guo

ABSTRACT

With the economic development and the rapid improvement of national living standards in the Internet society, the consumption level and concept of consumers have also changed. Affected by the traditional consumption habits of residents, the fresh market is mainly based on traditional offline sales. Major e-commerce companies and traditional fresh channels have laid out fresh e-commerce markets. Since the so-called "first year of fresh e-commerce" in 2012, and a large amount of capital has leveraged the market to grow rapidly. However, while the scale is increasing year by year, a series of development bottlenecks inevitably appear in the industry. Therefore, in order to analyze the consumption status and market opportunities behind the fresh food market, based on the results of the questionnaire survey, this paper analyzes the respondents of different genders, ages and occupations to understand their understanding and use of the fresh food e-commerce platform.

KEYWORDS

Fresh e-commerce, consumer satisfaction, correlation analysis, k-means clustering analysis

CITE THIS PAPER

Lu Jiang, Ying Guo, Wanting Huang, Yong Dai, Fresh E-Commerce Platform Consumer Status and Market Opportunity Mining Survey-Taking Chongqing as an Example. Manufacturing and Service Operations Management (2023) Vol. 4: 1-11. DOI: http://dx.doi.org/10.23977/msom.2023.040401.

REFERENCES

[1] Wang Jichuan, Guo Zhigang. Logistic Regression Model: Methods and Applications. Higher Education Press, 2001.
[2] Yu Jianying. Statistical analysis and SPSS application. People's Posts and Telecommunications Publishing House, 2003.
[3] Yao Xiteng. Analysis of Bayesian theorem and its application. Education modernization, 2017 (06): 260-262.
[4] Yao Hesheng. Apply MATLAB programming to realize the operation of a large number of matrices. Journal of Anqing Normal University: Natural Science Edition, 2020, 13 (1): 3.
[5] Zhang Xianda. Matrix analysis and application. Tsinghua University Press, 2013.
[6] Li Fei, Xue Bin, Huang Yalou. K-Means clustering algorithm with initial center optimization. Computer Science, 2021, 29 (7): 94-96.
[7] Li Jie. Construction and Research on Competitiveness Evaluation System of Fresh E-commerce Cold Chain Logistics. Journal of Shanxi Finance and Taxation College, 2019, 18 (4): 67-69. 

Sponsors, Associates, and Links

---

• Information Systems and Economics
  
  
• Accounting, Auditing and Finance
  
  
• Industrial Engineering and Innovation Management
  
  
• Tourism Management and Technology Economy
  
  
• Journal of Computational and Financial Econometrics
  
  
• Financial Engineering and Risk Management
  
  
• Accounting and Corporate Management
  
  
• Social Security and Administration Management
  
  
• Population, Resources & Environmental Economics
  
  
• Statistics & Quantitative Economics
  
  
• Agricultural & Forestry Economics and Management
  
  
• Social Medicine and Health Management
  
  
• Land Resource Management
  
  
• Information, Library and Archival Science
  
  
• Journal of Human Resource Development
  
  
• Operational Research and Cybernetics