工作环境中的个人性格变异:对工作表现是福还是祸?

IF 9.4 1区 心理学 Q1 MANAGEMENT
Journal of Applied Psychology Pub Date : 2023-11-01 Epub Date: 2023-06-12 DOI:10.1037/apl0001101
Loes Abrahams, Jasmine Vergauwe, Filip De Fruyt
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引用次数: 1

摘要

直到最近,个人性格的变化对工作表现来说是福还是祸,这个问题才提上了工业和组织心理学(I-O)研究人员的议事日程。然而,这种有限的研究流导致了不一致的结果,并且对评分源和平均水平人格在这种关系中的作用的理解很少。在广泛遵循社会分析理论的基础上,本研究考察了自我评价和他人评价的人格变异性对自我评价和他人评价的工作表现的预测程度,以及这种预测是否受到平均水平人格的调节。本研究以166名教师、95名主管、69个班级(包括1354名学生)为研究对象,进行经验抽样研究,获得人格变异指数和工作绩效评价。结果表明,除了平均水平人格的影响外,自我评定的个人内部变异性与自我评定的工作绩效呈正相关,而他人评定的个人内部变异性与他人评定的绩效呈负相关。发现了许多与平均水平人格的相互作用,主要显示了变异性对那些适应性较差的人格特征(如“诅咒”)的负面影响,而对那些适应性较强的性格特征(如“祝福”)的变异性的积极影响。然而,重要的是,额外的分析几乎没有提供证据表明不同类型的评分来源之间存在关联。这些发现对I-O心理学领域做出了贡献,强调了对个人人格变异性的感知可能会影响人格特质以外的绩效评估,尽管其可取性似乎取决于个人的人格特质水平。讨论了影响和局限性。(PsycInfo数据库记录(c) 2023 APA,版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Within-person personality variability in the work context: A blessing or a curse for job performance?

Only recently, the question whether within-person personality variability is a blessing or a curse for job performance has reached the agendas of industrial and organizational (I-O) psychology researchers. Yet, this limited stream of research resulted in inconsistent findings, and only little understanding exists about the role of rater source and mean-level personality in this relationship. Broadly following socioanalytic theory, the present study examined the extent to which self- and other-rated within-person personality variability predicts self- and other-rated job performance, and whether this is moderated by mean-level personality. Within-person personality variability indices and job performance evaluations were obtained from an experience sampling study including N = 166 teachers, N = 95 supervisors, and N = 69 classes (including 1,354 students). Results showed that-above and beyond the effects of mean-level personality-self-rated within-person variability was positively associated with self-rated job performance, while other-rated within-person variability was negatively associated with other-ratings of performance. Many interactions with mean-level personality were found, mainly demonstrating negative effects of variability for those with a less adaptive personality profile (cf. variability as a "curse"), while showing positive effects of variability for those with a more adaptive trait profile (cf. variability as a "blessing"). Importantly, however, additional analyses provided little evidence for associations across type of rater source. These findings contribute to the field of I-O psychology by highlighting that perceptions of within-person personality variability may impact performance evaluations beyond personality traits, although its desirability seems to depend on individuals' personality trait level. Implications and limitations are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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来源期刊
CiteScore
17.60
自引率
6.10%
发文量
175
期刊介绍: The Journal of Applied Psychology® focuses on publishing original investigations that contribute new knowledge and understanding to fields of applied psychology (excluding clinical and applied experimental or human factors, which are better suited for other APA journals). The journal primarily considers empirical and theoretical investigations that enhance understanding of cognitive, motivational, affective, and behavioral psychological phenomena in work and organizational settings. These phenomena can occur at individual, group, organizational, or cultural levels, and in various work settings such as business, education, training, health, service, government, or military institutions. The journal welcomes submissions from both public and private sector organizations, for-profit or nonprofit. It publishes several types of articles, including: 1.Rigorously conducted empirical investigations that expand conceptual understanding (original investigations or meta-analyses). 2.Theory development articles and integrative conceptual reviews that synthesize literature and generate new theories on psychological phenomena to stimulate novel research. 3.Rigorously conducted qualitative research on phenomena that are challenging to capture with quantitative methods or require inductive theory building.
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