Analyzing Employee Training Programs and Their Impact on the Adoption of Emerging Technologies in Investment and Risk Management in Production Sectors
Abstract
This study examined the relationship between employee training and the adoption of emerging technologies in investment and risk management within the production sector. Drawing on data from 200 respondents, the research underscores the critical role of training participation in driving technological innovation. Statistical analysis, including the chi-square test, confirms a significant correlation (χ² = 0.638, p < 0.05) between training and technology adoption rates, validating the hypothesis. Moreover, demographic factors such as age and education level are found to influence this relationship, with age group 18-35 years notably affecting technology adoption. However, education levels show no substantial impact, highlighting the need for tailored training programs that consider generational differences. Additionally, the study emphasizes the importance of self-efficacy, revealing a statistically significant relationship (χ² = 3.238, p < 0.05) between higher self-efficacy and increased technology adoption rates. These findings underscore the necessity for organizations to strategically invest in customized workforce training to foster innovation and efficiency in production sectors grappling with emerging technologies. In conclusion, this research provides actionable insights for organizations seeking to navigate technological advancements effectively, recommending adaptive training strategies that prioritize building self-efficacy and acknowledge demographic nuances.