Role of Artificial Intelligence in Project Efficiency Mediating with Perceived Organizational Support in the Indian IT Sector
Keywords:Technology Adoption, Artificial Intelligence, Project Efficiency, Age, Years of Experience, IT Sector
This study investigates the influence of demographic variables such as experience and age on the project efficiency of the IT sector. The study employed a quantitative methodology by collecting data from 380 responses from respondents working in various IT organizations. The data was further processed and analysed using SPSS software. Conjoint analysis is used to identify the attributes that are important to employees and classify each attribute into its own level. Discriminant analysis is used to find the association between the demographic characteristics of the respondents and employee status. The results of this study lay the groundwork for future research on artificial intelligence adoption in emerging nations, and they show a notable relationship between enhancing project efficiency in the IT industry. The researchers found that the age of the employees has a significant impact on project efficiency. Moreover, this study shows that IT workers under the age of 30 have the largest influence on project efficiency, representing a substantial demographic cohort in the organization. In addition, this research expands on these findings by indicating that individuals under the age of 30 with less than 5 years of experience are highly motivated to investigate AI opportunities and effectively use them in their job.
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