Start Date
10-12-2017 12:00 AM
Description
The study of turnover intention has been of interest to IT workforce researchers for over 30 years. Joseph et al. (2007) conducted the first comprehensive meta-analysis of IT professionals’ turnover intention covering the years 1985-2005. Their goal was to synthesize the knowledge base and uncover some moderators causing the variations in the results of the studies. According to IT Market Research, some organizations believe hiring will be significantly more challenging in 2017 since employees feel better about leaving their current work to pursue better opportunities during good economy as compared to previous years. With that in mind, this research aims to re-analyze the perceived organizational factors and shed the light on the possible individual and methodological attributes, as possible moderators, to further explain the contradictory results identified in the IT workforce research.
Recommended Citation
Zaza, Ibtissam and Armstrong, Deborah J., "Information Technology Professionals’ Turnover Intentions: A Meta-Analysis of Perceived Organizational Factors" (2017). ICIS 2017 Proceedings. 2.
https://aisel.aisnet.org/icis2017/HumanBehavior/Presentations/2
Information Technology Professionals’ Turnover Intentions: A Meta-Analysis of Perceived Organizational Factors
The study of turnover intention has been of interest to IT workforce researchers for over 30 years. Joseph et al. (2007) conducted the first comprehensive meta-analysis of IT professionals’ turnover intention covering the years 1985-2005. Their goal was to synthesize the knowledge base and uncover some moderators causing the variations in the results of the studies. According to IT Market Research, some organizations believe hiring will be significantly more challenging in 2017 since employees feel better about leaving their current work to pursue better opportunities during good economy as compared to previous years. With that in mind, this research aims to re-analyze the perceived organizational factors and shed the light on the possible individual and methodological attributes, as possible moderators, to further explain the contradictory results identified in the IT workforce research.