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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM67226
Volume:
10 |
9 |
Sep 2026
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of MBA,
Visvesvaraya Institute of Advanced Technology, Center for PG studies, VTU, Muddenahalli
Department of MBA,
Visvesvaraya Institute of Advanced Technology, Center for PG studies, VTU, Muddenahalli
Department of MBA,
Visvesvaraya Institute of Advanced Technology, Center for PG studies, VTU, Muddenahalli
Department of MBA,
Visvesvaraya Institute of Advanced Technology, Center for PG studies, VTU, Muddenahalli
The present study, titled "Role of AI-Powered Search Engines in B2B Industrial Machinery Vendor Selection," aims to examine the impact of AI-powered search engines on vendor selection decisions. The study focuses on understanding how AI-based search tools assist procurement professionals in identifying reliable suppliers, comparing vendor performance, reducing search time, and improving decision-making accuracy. Primary data are collected through structured questionnaires, while secondary data are obtained from journals, books, and online sources. Statistical tools such as percentage analysis and the Chi-square test are used to analyze the collected data. The findings of the study are expected to provide valuable insights into the effectiveness of AI-powered search engines in enhancing procurement efficiency and supporting informed vendor selection in the B2B industrial machinery industry.
KEYWORDS
The study concludes that AI-powered search engines play a significant role in improving B2B industrial machinery vendor selection. These intelligent search tools help organizations identify suitable vendors, compare supplier information, reduce procurement time, and support better decision-making. The findings indicate that most respondents have a positive perception of AI-powered search engines and consider them effective in enhancing procurement efficiency. The Chi-square analysis also confirms a significant relationship between the use of AI-powered search engines and vendor selection. Therefore, organizations should adopt AI-powered search technologies along with human expertise to achieve more accurate, efficient, and reliable vendor selection decisions.
1. Aswathappa, K. (2023). Human Resource Management. McGraw Hill Education. 2. Kotler, P., Keller, K. L., & Chernev, A. (2022). Marketing Management. Pearson Education. 3. Chopra, S., & Meindl, P. (2022). Supply Chain Management: Strategy, Planning, and Operation. Pearson. Websites· Google Scholar – https://scholar.google.com · IEEE Xplore Digital Library – https://ieeexplore.ieee.org · Science Direct – https://www.sciencedirect.com · Springer Link – https://link.springer.com
Publication Date
9/13/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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