A Discrepancy Model of Information System Personnel Turnover.

Author List: Jiang, James J.; Klein, Gary;
Journal of Management Information Systems, 2002, Volume 19, Issue 2, Page 249-272.
Turnover of information system (IS) personnel is a critical problem for organizations. To gain a better understanding of turnover, researchers have explored career orientations that characterize an employee's internal motivations and desires. The inability of an organization to match career desires is often related to measures indicative of turnover in IS employees, including intent to leave and career dissatisfaction, though empirical evidence is indirect and inconclusive. Using career orientations, this study explicitly models the impact of the discrepancy between the wants of employees and employee perceptions of how their organization satisfies those wants. The model is based on discrepancy theory and predicts the gap is closely related to the turnover indicators. Model predictions hold true for a sample of 153 IS personnel. These results indicate the importance of developing career plans that employees perceive as matching their wants.
Keywords: career orientations; career satisfaction; discrepancy theory; employee turnover; information systems personnel
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#109 0.307 career human professionals job turnover orientations careers capital study resource personnel advancement configurations employees mobility jobs management individuals pay non-it
#298 0.173 job employees satisfaction work role turnover employee organizations organizational information ambiguity characteristics personnel stress professionals conflict organization intention variables systems
#275 0.114 perceptions attitudes research study impacts importance perceived theory results perceptual perceive perception impact relationships basis significant positive reported common individuals
#191 0.079 model models process analysis paper management support used environment decision provides based develop use using help literature mathematical presented formulation
#262 0.072 impact data effect set propensity potential unique increase matching use selection score results self-selection heterogeneity evidence measure associated estimate leads
#276 0.066 satisfaction information systems study characteristics data results using user related field survey empirical quality hypotheses important success various indicate tested
#11 0.050 structural pls measurement modeling equation research formative squares partial using indicators constructs construct statistical models researchers latent analysis results sem