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Handbook of Principles of Organizational Behavior - Soltanieh ...

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CONTROL VOLUNTARY TURNOVER BY UNDERSTANDING ITS CAUSES<br />

125<br />

First, overall job satisfaction strongly correlates with affective organizational commitment<br />

(r.65), and the intentions to search for another job (r .60) and intentions to leave<br />

(r.46). More specifically, lower scores on job attitude measures are consistently<br />

associated with more thoughts <strong>of</strong> leaving and job - search activities. Second, job satisfaction<br />

(r.19), organizational commitment (r .23), thoughts <strong>of</strong> quitting (r .24), and<br />

intentions to search (r .29) and intentions to leave (r .38) correlate moderately well<br />

with actual turnover behavior. In other words, these variables are consistently associated with<br />

employee withdrawal. Third, until people quit, less satisfied employees are absent slightly<br />

more <strong>of</strong>ten (r ’ s between .10 and .l5), somewhat less helpful to co - workers (r ’ s between .22<br />

and .26), and perform their jobs more poorly (r .25). Similarly, less affectively committed<br />

employees also perform fewer citizenship behaviors (r .32), perform their jobs more poorly<br />

(r.17), and have higher turnover intentions (r .51). Thus, employees with poor job<br />

attitudes <strong>of</strong>ten exhibit multiple negative behaviors and can be difficult to manage.<br />

What to monitor first: job attitudes. Every traditional theory on employee turnover includes job<br />

dissatisfaction as either the primary starting point or as an early stage in the turnover process.<br />

Moreover, the evidence indicates consistent and large correlations (cited above) between job<br />

satisfaction and the intermediate variables (e.g. organizational commitment, intention to<br />

search or to leave) before actual employee turnover occurs. In turn, the evidence reveals<br />

consistent, moderate - sized, and predictive over time correlations between the intermediate variables<br />

and actual quitting. When considered together, job satisfaction and organizational commitment<br />

should be monitored as clear and compelling indicators <strong>of</strong> future employees ’ quitting.<br />

Merely analyzing employee job satisfaction and organizational commitment in a static<br />

manner is not enough. It is imperative to examine attitude trends over time. Employees<br />

may experience significant decreases in attitudes over time and these changes may lead to<br />

an increase in search and quit intentions and actual turnover. For example, employees<br />

who appear to be satisfied with their jobs may decide to quit because some aspect <strong>of</strong> their<br />

jobs changed over the past few weeks and made them be less satisfied than before. A static<br />

approach to monitoring job attitudes would miss these nuances, and managers might<br />

therefore inaccurately assume that these employees will most likely not leave. Eventual leavers<br />

will likely experience a decline in job satisfaction and organizational commitment over time,<br />

therefore rendering a dynamic monitoring <strong>of</strong> these attitudes essential to managers (Bentein,<br />

Vandenberg, Vandenberghe, and Stinglhamber, 2005 ; Kammeyer- Mueller, Wanberg, Glomb,<br />

and Ahlburg, 2005 ).<br />

What to monitor second: global withdrawal cognitions. These traditional approaches most <strong>of</strong>ten<br />

conceptualize factors such as thoughts <strong>of</strong> quitting, expected utility <strong>of</strong> job search, cost <strong>of</strong> quitting,<br />

intention to search, evaluation <strong>of</strong> alternative jobs, comparisons between current and<br />

alternative jobs, and intention to leave as separate entities. Correspondingly, organiz ational<br />

behavior researchers have sought to measure and study these variables separately. An<br />

enduring problem, however, is that these intermediate variables (between job satisfaction<br />

and turnover) are difficult to separate accurately (e.g. using various statistical methods). As a<br />

result, several turnover scholars have sought to simplify the meaning <strong>of</strong> these “ intermediate<br />

steps. ” More specifically, these numerous factors have been reconceptualized and empirically<br />

measured as a global and broader- based variable labeled “ withdrawal cognitions. ”

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