Artificial Intelligence in Electronic Bidding: Value and Prospects
DOI:
https://doi.org/10.62051/ijcsit.v5n1.08Keywords:
Artificial Intelligence, Electronic Bidding, Value Creation, Case Studies, Industry TransformationAbstract
This research focuses on the application of artificial intelligence (AI) in the field of electronic bidding. Through case studies of several well-known enterprises, combined with cutting-edge theories and industry data, it reveals the significant value that AI brings to electronic bidding, including enhancing operational efficiency, optimizing decision-making quality, and strengthening bidding competitiveness. Meanwhile, it delves deeply into the challenges it faces, such as data security, regulatory compliance, and talent shortage, providing crucial insights for the future development of the industry and the strategy formulation of stakeholders, and facilitating the innovative and sustainable transformation of the electronic bidding industry empowered by AI.
Downloads
References
[1] Gartner. Global Electronic Bidding Market Analysis Report (2020 - 2025).
[2] Thompson, R. (2022). AI-driven Automation in Bidding Document Processing: A Comparative Analysis. Journal of Electronic Bidding Systems, 12(3), 45 - 62.
[3] Davis, L. et al. (2023). The Impact of Automated Data Analysis on Bidding Efficiency: Empirical Evidence from the Construction Industry. International Journal of Project Management, 41(2), 123 - 138.
[4] Johnson, A. (2023). Data Analytics in Bidding: Unraveling Insights for Strategic Decision-making. Journal of Bidding Technologies, 20(2), 23 - 40.
[5] Liu, Y. et al. (2023). AI-assisted Data Analysis for Bidding: Applications and Challenges. ACM Transactions on Information Systems, 41(4), 1 - 20.
[6] Smith, J. (2023). AI-driven Technical Innovation in Bidding: Opportunities and Challenges. Journal of Technology and Bidding, 18(3), 56 - 75.
[7] Wilson, B. (2023). Leveraging AI for Technology Adoption in Bidding: A Strategic Perspective. Journal of Ethics in Bidding and Procurement, 13(2), 23 - 42.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 International Journal of Computer Science and Information Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







