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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM45042
Volume:
9 |
4 |
Apr 2025
Pages:
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.
System downtime poses a significant threat to the reliability and efficiency of trading operations in today’s digital-first financial landscape. This study investigates the causes and impact of system downtime within Growth Arrow, a trading and financial advisory firm. Through primary data collected from employees across departments, the research explores how downtimes affect productivity, trading losses, client trust, and operational efficiency. Quantitative methods including percentage analysis, chi-square tests, and correlation analysis were used to interpret the data. The findings highlight the need for improved IT systems, backup mechanisms, and employee training. Recommendations are proposed to mitigate the effects of downtime and ensure smooth trading operations.
KEYWORDS
Publication Date
4/19/2025
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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