Public Service Motivation and Employee Change-Supportive Intention: Utilizing the Theory of Planned Behavior

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Abstract

Implementing change is considered as a difficult task for public organizations. Some individual dispositional factors have been suggested to influence recipient responses to change in public organizations. Past research has shown a link between public service motivation (PSM) and employee positive responses to organizational change. However, the psychological processes underlining this relationship are not specified. Building on the PSM theory and the theory of planned behavior (TPB), this study examines the role of psychological variables (attitude, subjective norm, and perceived behavioral control) in mediating the relationship between PSM and change-supportive intention. A sample of 143 employees is collected from a public university in the Kurdistan Region of Iraq that was going through a change initiative. The results revealed that PSM predicts change-supportive intention, and the relationship between PSM and change-supportive intention is mediated by change-related attitude and subjective norm. The implications of the findings for theory and practice are discussed.

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The theory of planned behavior

Icek Ajzen (1991)

Organizational Behavior and Human Decision Processes, 50(2), 179-211

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Comparative fit indexes in structural models.

P. Bentler (1990)

Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known population parameters. A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes. CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI). FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI. Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom. All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics. An example illustrates the behavior of these indexes under conditions of correct specification and misspecification. The new fit indexes perform very well at all sample sizes.