Employee Performance Analysis in the Technology Start-up Industry

The rapid expansion of the technology start-up ecosystem has significantly transformed modern business dynamics, emphasizing agility, innovation, and human capital efficiency. In such an environment, employee performance becomes a critical determinant of organizational success. This study examines employee performance in technology start-ups with a focus on key influencing factors such as motivation, feedback, recognition, and organizational support. The research is based on primary data collected from 250 respondents using a structured questionnaire designed on a 4-point Likert scale. The collected data was analyzed using SPSS- based statistical tools including frequency distribution, descriptive statistics, correlation analysis, and simple linear regression. The findings reveal that employee performance in start-ups is moderately effective, with significant influence from feedback systems and recognition practices. Feedback shows the strongest positive relationship with motivation (r = 0.62), indicating its critical role in improving employee productivity. Recognition and organizational support also demonstrate a positive impact on engagement and performance. The study concludes that technology start-ups must adopt structured, transparent, and continuous performance management systems to enhance employee productivity and organizational efficiency. The research provides both theoretical and practical insights into human resource practices in start-ups.