An examination of the correlates of burnout in information systems professionals
Information Resources Management Journal
How to turn around `turnover culture' in IT
Communications of the ACM - Ontology: different ways of representing the same concept
Turnover of IT professionals: a quantitative analysis of the literature
SIGMIS CPR '03 Proceedings of the 2003 SIGMIS conference on Computer personnel research: Freedom in Philadelphia--leveraging differences and diversity in the IT workforce
Using Multivariate Statistics (5th Edition)
Using Multivariate Statistics (5th Edition)
Information Systems Research
Which reduces IT turnover intention the most: Workplace characteristics or job characteristics?
Information and Management
Improving retention strategies for IT professionals working in the public sector
Information and Management
IT employee retention: employee expectations and workplace environments
Proceedings of the special interest group on management information system's 47th annual conference on Computer personnel research
A Model of Turnover Intention Among Technically-Oriented Information Systems Professionals
Information Resources Management Journal
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Recent studies have shown that turnover is a major issue in IT environments (Armstrong & Riemenschneider, 2011; Carayon, Schoepke, Hoonakker, Haims, & Brunette, 2006; Moore, 2000a; Rigas, 2009). In fact, the research literature in IT and the popular press suggest that IT professionals are particularly vulnerable to burnout (Armstrong & Riemenschneider, 2011; Kalimo & Toppinen, 1995; McGee, 1996; Moore, 2000a). Using the Job Demands-Resources Model of Burnout as a framework, this study investigates the relationship between disengagement, work exhaustion and turnover intentions among IT professionals in a single university in a major metropolitan area. This study employed a non-experimental, cross-sectional survey research design using a Web-based survey questionnaire to collect data from a population (N=287) of university IT employees in a major metropolitan area. Two instruments were employed in the study: the OLdenburg Burnout Inventory (OLBI) measures work exhaustion and disengagement as developed by Demerouti et al. (2001); the Michigan Organizational Assessment Questionnaire Job Satisfaction Subscale (MOAQ-JSS) measures turnover intentions. The findings from this research indicated that disengagement consistently showed a statistically significant, positive correlation with turnover intentions. The most important conceptual implication of the study is that future investigations of disengagement, work exhaustion and turnover intentions among university IT employees must account for the unique work environment and how those workplace characteristics predict disengagement, work exhaustion and subsequent thoughts about quitting.