000086998 001__ 86998
000086998 005__ 20221004075833.0
000086998 0247_ $$2doi$$a10.3390/su12020474
000086998 0248_ $$2sideral$$a115387
000086998 037__ $$aART-2020-115387
000086998 041__ $$aeng
000086998 100__ $$0(orcid)0000-0001-8640-4097$$aRamos Villagrasa, Pedro José$$uUniversidad de Zaragoza
000086998 245__ $$aDoes Evil Prevail? The “Bright” and “Dark” Sides of Personality as Predictors of Adaptive Performance
000086998 260__ $$c2020
000086998 5060_ $$aAccess copy available to the general public$$fUnrestricted
000086998 5203_ $$aThe turbulent context in which organizations operate today makes them search for adaptable workers. Previous studies have shown the predictive value of the “Big Five” personality traits on adaptive performance, but some authors suggest extending personality domain with the “dark” traits of personality, that is, Machiavellianism, narcissism, psychopathy (i.e., the “Dark Triad”), and sadism (which, along with the aforementioned traits, composes the “Dark Tetrad”). The present research investigates the incremental validity of the dark traits in the prediction of adaptive performance over the Big Five. The study follows a cross-sectional design with a convenience sample of 613 participants (46% women; mean age 38.78 years, SD = 14.05; mean job experience = 16.93 years, SD = 13.39) from different organizations who fill in a questionnaire with the variables. Our results showed that the Dark Triad improved the predictive model with respect to the Big Five (R2 = 0.202, ΔR2 = 0.030, p < 0.001). The statistically significant predictors were neuroticism (β = −0.127, p = 0.010), openness to experience (β = 0.155, p < 0.001), conscientiousness (β = 0.164, p = 0.001), narcissism (β = 0.134 p < 0.002), and psychopathy (β = −0.137, p = 0.005). The incorporation of sadism did not improve the Dark Triad model (R2 = 0.202, ΔR2= −0.001, p = 0.541).
000086998 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000086998 590__ $$a3.251$$b2020
000086998 592__ $$a0.611$$b2020
000086998 591__ $$aENVIRONMENTAL SCIENCES$$b124 / 273 = 0.454$$c2020$$dQ2$$eT2
000086998 593__ $$aEnergy Engineering and Power Technology$$c2020$$dQ1
000086998 591__ $$aENVIRONMENTAL STUDIES$$b60 / 125 = 0.48$$c2020$$dQ2$$eT2
000086998 593__ $$aEnvironmental Science (miscellaneous)$$c2020$$dQ1
000086998 591__ $$aGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY$$b30 / 44 = 0.682$$c2020$$dQ3$$eT3
000086998 593__ $$aRenewable Energy, Sustainability and the Environment$$c2020$$dQ1
000086998 591__ $$aGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY$$b6 / 9 = 0.667$$c2020$$dQ3$$eT3
000086998 593__ $$aManagement, Monitoring, Policy and Law$$c2020$$dQ1
000086998 593__ $$aGeography, Planning and Development$$c2020$$dQ1
000086998 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000086998 700__ $$0(orcid)0000-0002-9645-8109$$aFernández del Río, Elena$$uUniversidad de Zaragoza
000086998 700__ $$0(orcid)0000-0001-6887-6277$$aBarrada, Juan Ramón$$uUniversidad de Zaragoza
000086998 7102_ $$14009$$2740$$aUniversidad de Zaragoza$$bDpto. Psicología y Sociología$$cÁrea Psicología Social
000086998 7102_ $$14009$$2620$$aUniversidad de Zaragoza$$bDpto. Psicología y Sociología$$cÁrea Metod.Ciencias Comportam.
000086998 773__ $$g12, 2 (2020), 474 [13 pp.]$$pSustainability (Basel)$$tSustainability (Switzerland)$$x2071-1050
000086998 8564_ $$s279442$$uhttps://zaguan.unizar.es/record/86998/files/texto_completo.pdf$$yVersión publicada
000086998 8564_ $$s114572$$uhttps://zaguan.unizar.es/record/86998/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000086998 909CO $$ooai:zaguan.unizar.es:86998$$particulos$$pdriver
000086998 951__ $$a2022-10-03-13:17:49
000086998 980__ $$aARTICLE