Paper Details

Name: Komal Gupta, Pahrul Sharma
Country: India

Year: 2025
Volume: Volume-12, Issue-2, Year-2025(Special Issue)
Page Number: 79-87
DOI: https://doi.org/10.5281/zenodo.17893573

Social media is dependent on recommendation engines that highly influence the way algorithm links corporations with clients. Therefore, numerous small business endeavors attempt to streamline their content and their activities to align them with such algorithms. In this research, the authors emphasize the hazards that may be attributed to the extreme of such optimization.
The study identifies a gap in the existing literature by explicitly focusing on small businesses, conceptualizing over-optimization in strategic risk, and describing the lived experience of changes in visibility. These findings suggest that relying too heavily on algorithmic visibility may threaten a brand's future goals, make it more vulnerable to platform changes, and cause emotional stress that leads to a reactive approach. The implications for small business strategies and future research directions are studied.
Keywords: algorithmic visibility, social media, small business, over-optimization, recommendation systems, strategic risk.