Author(s)

Xue Bai ¹

Affiliation(s)

¹ Business School, Guangdong Polytechnic, Foshan, Guangdong, China

Corresponding Author

Xue Bai

ABSTRACT

The rapid development of e-commerce has led B2C e-commerce enterprises to face increasingly fierce market competition and constantly changing customer demands. Due to the limitations of traditional Information Technology (IT) infrastructure, enterprises have deficiencies in operational efficiency and market response speed. Therefore, this article uses cloud computing technology to optimize the value chain of B2C e-commerce enterprises, in order to improve their operational efficiency and market competitiveness. By utilizing the powerful data storage and processing capabilities of cloud computing platforms, we collect a large amount of operational data from Amazon in areas such as marketing, order processing, and logistics delivery. We then use the data analysis tools of cloud computing platforms to conduct in-depth analysis on the collected data. Through big data technology, consumer behavior patterns can be identified, market trends can be predicted, inventory management strategies can be optimized, and order processing efficiency can be improved. Based on the results of the above data analysis, a value chain optimization model is constructed using the computing power of cloud computing platforms. The optimization model is applied to actual operations and the implementation effect is monitored in real-time through the cloud computing platform. Research has found that compared to traditional information technology infrastructure, cloud computing technology exhibits significant advantages in multiple key performance indicators. In terms of cost savings, cloud computing technology has achieved an overall cost savings of up to $822000. In terms of efficiency improvement, cloud computing technology can increase efficiency by up to 36.8%, and it has significant advantages in energy efficiency and carbon footprint reduction. With the continuous development of cloud computing technology, it is expected to play a more critical role in the field of e-commerce.

KEYWORDS

B2C E-Commerce, Value Chain Optimization, Cloud Computing, Service Oriented Architecture, Big Data Analysis

CITE THIS PAPER

Xue Bai, Optimization of B2C E-commerce Enterprise Value Chain Based on Cloud Computing. Information Systems and Economics (2024) Vol. 5: 73-81. DOI: http://dx.doi.org/10.23977/infse.2024.050410.

REFERENCES

[1] Chang S, Li A, Wang X. Joint optimization of e-commerce supply chain financing strategy and channel contract. European Journal of Operational Research, 2022, 303 (2): 908-927.
[2] He J. Construction of supply chain coordination and optimization model of fresh food e-commerce platform based on improved bacterial foraging algorithm. RAIRO-Operations Research, 2022, 56 (6): 3853-3869.
[3] Pu W, Ma S, Yan X. Geographical relevance-based multi-period optimization for e-commerce supply chain resilience strategies under disruption risks. International Journal of Production Research, 2024, 62 (7): 2455-2482.
[4] Chu L. Optimization method of fresh agricultural products cross-border e-commerce supply chain based on blockchain technology. Pak. J. Agri. Sci, 2023, 60 (2): 415-423.
[5] Zhang H, Jia F, You J X. Striking a balance between supply chain resilience and supply chain vulnerability in the cross-border e-commerce supply chain. International Journal of Logistics Research and Applications, 2023, 26 (3): 320-344.
[6] Rathnasiri S, Ray P, Vega-Mejía C A. Optimising small-scale electronic commerce supply chain operations: a dynamic cost-sharing contract approach. Annals of Operations Research, 2022, 318 (1): 453-499.
[7] Febransyah A, Camelia Goni J I. Measuring the supply chain competitiveness of e-commerce industry in Indonesia. Competitiveness Review: An International Business Journal, 2022, 32 (2): 250-275.
[8] Hu X, Chuang Y F. E-commerce warehouse layout optimization: systematic layout planning using a genetic algorithm. Electronic Commerce Research, 2023, 23 (1): 97-114.
[9] Wangsa I D, Vanany I, Siswanto N. An optimization model for fresh-food electronic commerce supply chain with carbon emissions and food waste. Journal of Industrial and Production Engineering, 2023, 40 (1): 1-21.
[10] Fan Z, Wang Y, Ying Z. Empowerment of cross-border e-commerce platforms for small and medium-sized enterprises: evidence from China. Journal of Business-to-Business Marketing, 2023, 30 (1): 33-44.
[11] Mishra S K, Sarkar A. Service-oriented architecture for internet of things: a semantic approach. Journal of King Saud University-Computer and Information Sciences, 2022, 34 (10): 8765-8776.
[12] Jawed M S, Sajid M. A comprehensive survey on cloud computing: architecture, tools, technologies, and open issues. International Journal of Cloud Applications and Computing (IJCAC), 2022, 12 (1): 1-33.
[13] Katal A, Dahiya S, Choudhury T. Energy efficiency in cloud computing data centers: a survey on software technologies. Cluster Computing, 2023, 26 (3): 1845-1875.
[14] Qi Y, Wang X, Zhang M. Developing supply chain resilience through integration: An empirical study on an e‐commerce platform. Journal of Operations Management, 2023, 69 (3): 477-496.
[15] Wang L. Establishing enterprise information management platform using cloud storage technology under e-commerce environment. Soft Computing, 2024, 28 (4): 3649-3665.

Sponsors, Associates, and Links

---

• 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
  
  
• Manufacturing and Service Operations Management
  
  
• Operational Research and Cybernetics