Predicting employees' commitment to and support for organisational change

This study aimed to identify factors that predict employees' commitment to and support for organisational change. The three components of Herscovitch and Meyer's (2002) commitment to organisational change model were hypothesised to mediate the relationship between organisational climate and behavioural support for organisational change. Data were collected from a Queensland government department (N = 342). Analysis of correlations revealed that organisational climate, commitment to change, and behavioural support for change variables were all significantly related. Structural equation modelling demonstrated that affective, normative, and continuance commitment to change were all predictors of behavioural support for organisational change. Positive work climate also contributed directly to the prediction of behavioural support for change over and above the indirect influence through commitment to organisational change, indicating a partial mediation effect. These findings support Herscovitch and Meyer's (2002) three-component model of commitment to organisational change and extend their nomological network by showing the relevance of two types of organisational climate to the core components of the model. Affective commitment to organisational change is a positive influence on employees' behavioural support for change and also reflects healthy aspects of the organisational climate. However, continuance commitment to organisational change is detrimental influence on employees' behavioural support for change and is linked with unhealthy dimensions of the organisational climate

Measuring the relationship conditions in person-centred and experiential psychotherapies : past, present, and future

This chapter looks at measuring the relationship conditions in person-centred and experiential psychotherapie

Congruence Testing of Point Sets in 4-Space

We give a deterministic O(n log n)-time algorithm to decide if two n-point sets in 4-dimensional Euclidean space are the same up to rotations and translations. It has been conjectured that O(n log n) algorithms should exist for any fixed dimension. The best algorithms in d-space so far are a deterministic algorithm by Brass and Knauer [Int. J. Comput. Geom. Appl., 2000] and a randomized Monte Carlo algorithm by Akutsu [Comp. Geom., 1998]. They take time O(n^2 log n) and O(n^(3/2) log n) respectively in 4-space. Our algorithm exploits many geometric structures and properties of 4-dimensional space

Technical Report for “When People Estimate their Personal Intelligence Who Is Overconfident? Who is Accurate?”

The Technical Supplement includes additional information about the article “Who Believes they are High in Personal Intelligence.” The Supplement is organized such that material follows the organization of the article, with the exception that group-wise analyses—i.e., analyses based on median splits of the archival samples on the Test of Personal Intelligence and Self-Estimated Personal Intelligence, are in their own Appendix owing to the considerable length of that material

Multiattribute perceptual mapping with idiosyncratic brand and attribute sets

This article proposes an extremely flexible procedure for perceptual mapping based on multiattribute ratings, such that the respondent freely generates sets of both brands and attributes. Therefore, the brands and attributes are known and relevant to each participant. Collecting and analyzing such idiosyncratic datasets can be challenging. Therefore, this study proposes a modification of generalized canonical correlation analysis to support the analysis of the complex data structure. The model results in a common perceptual map with subject-specific and overall fit measures. An experimental study compares the proposed procedure with alternative approaches using predetermined sets of brands and/or attributes. In the proposed procedure, brands are better known, attributes appear more relevant, and the respondent's burden is lower. The positions of brands in the new perceptual map differ from those obtained when using fixed brand sets. Moreover, the new procedure typically yields positioning information on more brands. An empirical study on positioning of shoe stores illustrates our procedure and resulting insights. Finally, the authors discuss limitations, potential application areas, and directions for research