Dispositional resistance to change and emotional exhaustion: moderating effects at the work-unit level

Organizational change, although essential for business success, may negatively impact employees’ well-being. Based on person–environment fit theory, the authors investigate employees’ dispositional resistance to change as it impacts emotional exhaustion. Furthermore, the authors examine boundary conditions that may affect dispositional resistance to change and its influence on emotional exhaustion. They take a trait activation approach and test the moderating roles of two work-unit-level internal contextual factors: perceived organizational support and informational team climate. Using a longitudinal research design of 709 participants in 30 work units, multilevel analyses reveal that dispositional resistance to change (time 1) is positively related to emotional exhaustion (time 2). Moreover, a lack of perceived organizational support and a high informational team climate strengthen these effects. The authors conclude that organizations should offer coaching and training programmes to cope with organizational change for employees who are highly change resistant. Furthermore, personal and organizational development strategies should consider the insights gained from the study regarding internal contextual factors that moderate change management processes.     

Go with the flow: How children's persuasion knowledge is associated with their state of flow and emotions during advergame play

This study investigates children's persuasion knowledge towards an advergame. Based on the theory of limited capacity and the PAD dimensions of emotions (i.e. pleasure, arousal and dominance), we propose a model in which persuasion knowledge is associated with game flow, and in which game flow is subsequently related to self‐reported player emotions. To test this model, 200 respondents between 7 and 12 years old were asked to play an advergame and to complete a survey addressing self‐reported emotions, persuasion knowledge and game flow. Structural equation modelling partially confirms our model. Both managerial and ethical implications are discussed in the paper. Copyright © 2015 John Wiley & Sons, Ltd.     

Cross‐cultural Generalizability of the Alternative Five‐factor Model Using the Zuckerman–Kuhlman–Aluja Personality Questionnaire

Several personality models are known for being replicable across cultures, such as the Five‐Factor Model (FFM) or Eysenck's Psychoticism–Extraversion–Neuroticism (PEN) model, and are for this reason considered universal. The aim of the current study was to evaluate the cross‐cultural replicability of the recently revised Alternative FFM (AFFM). A total of 15 048 participants from 23 cultures completed the Zuckerman–Kuhlman–Aluja Personality Questionnaire (ZKA‐PQ) aimed at assessing personality according to this revised AFFM. Internal consistencies, gender differences and correlations with age were similar across cultures for all five factors and facet scales. The AFFM structure was very similar across samples and can be considered as highly replicable with total congruence coefficients ranging from .94 to .99. Measurement invariance across cultures was assessed using multi‐group confirmatory factor analyses, and each higher‐order personality factor did reach configural and metric invariance. Scalar invariance was never reached, which implies that culture‐specific norms should be considered. The underlying structure of the ZKA‐PQ replicates well across cultures, suggesting that this questionnaire can be used in a large diversity of cultures and that the AFFM might be as universal as the FFM or the PEN model. This suggests that more research is needed to identify and define an integrative framework underlying these personality models. Copyright © 2016 European Association of Personality Psychology     

Nodule Detection with Eye Movements

Radiologists often miss nodules that may represent lung cancer on chest radiographs. We investigated whether eye movements collected during the search for lung nodules by large samples of laypeople may provide information that could assist radiologists in their detection. For that purpose, we developed a partially invisible Markov model with partially unobserved states and analyzed eye tracking data of over 100 laypeople who reviewed 14 chest X‐ray images, of which seven contained a potentially cancerous nodule. We used the luminance value of the pixels in the X‐ray images as prior information on the possible location of a nodule and identified six regions of interest on each image that may contain a nodule. Our study demonstrated that the eye movements recorded from laypersons contained information that may assist radiologists in the detection of nodules in chest X‐rays, which has important implications for crowdsourcing of search for pulmonary nodules, which are discussed. Copyright © 2016 John Wiley & Sons, Ltd.