Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/102671
Title: Modeling Workplace Bullying Behaviors Using Catastrophe Theory
Author: Escartín Solanelles, Jordi
Ceja, Lucía
Navarro Cid, José
Zapf, Dieter
Keywords: Assetjament psicològic
Catàstrofes (Matemàtica)
Psychological abuse
Catastrophes (Mathematics)
Issue Date: 14-Jan-2013
Publisher: Springer Verlag
Abstract: Workplace bullying is defined as negative behaviors directed at organizational members or their work context that occur regularly and repeatedly over a period of time. Employees' perceptions of psychosocial safety climate, workplace bullying victimization, and workplace bullying perpetration were assessed within a sample of nearly 5,000 workers. Linear and nonlinear approaches were applied in order to model both continuous and sudden changes in workplace bullying. More specifically, the present study examines whether a nonlinear dynamical systems model (i.e., a cusp catastrophe model) is superior to the linear combination of variables for predicting the effect of psychosocial safety climate and workplace bullying victimization on workplace bullying perpetration. According to the AICc, and BIC indices, the linear regression model fits the data better than the cusp catastrophe model. The study concludes that some phenomena, especially unhealthy behaviors at work (like workplace bullying), may be better studied using linear approaches as opposed to nonlinear dynamical systems models. This can be explained through the healthy variability hypothesis, which argues that positive organizational behavior is likely to present nonlinear behavior, while a decrease
Note: Versió postprint del document publicat a: https://www.societyforchaostheory.org/ndpls/askFILE.cgi?vol=17&iss=04&art=03&desc=PDF
It is part of: Nonlinear Dynamics Psychology and Life Sciences, 2013, vol. 17, num. 4, p. 493-515
URI: http://hdl.handle.net/2445/102671
ISSN: 1090-0578
Appears in Collections:Articles publicats en revistes (Psicologia Social i Psicologia Quantitativa)

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