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How Technology and Analytics Maturity of Firms Influence Turnover Intention of Data Science and AI Professionals

Year: 2025

Type: article

Abstract: Among the key factors in artificial intelligence (AI) implementation, attracting and retaining talent remains one of the greatest challenges for firms. In this paper, we examine how data science and AI professionals’ focus on data and technology maturity influences job dissatisfaction and turnover intention. Specifically, we argue that firm's lack of analytical maturity is more salient for AI professionals, leading to their higher dissatisfaction and turnover intention. We test our hypotheses using data from data science professionals (e.g., data scientists, data analysts, data engineers), collected through three waves of surveys, with over 10,000 responses between 2021 and 2023. Our findings suggest that prioritizing data and technology maturity affects turnover intention through dissatisfaction with the firm’s analytics maturity, with the effects being more pronounced among AI professionals.

Source: Journal of the Association for Information Systems

Authors: Silveira, Alysson, Luna, Francisco Djalma Silva, Mithas, Sunil

Institutions: University of South Florida, Fundação Getulio Vargas

Language: English

Topic: AI and HR Technologies

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: green

OpenAlex ID: W7019732145

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