The relationship of job characteristics with in-role and extra-role performance: the mediating effect of job crafting

独创性 工作设计 工作态度 结构方程建模 心理学 工作表现 自治 工作分析 相关性(法律) 工作特征理论 社会心理学 价值(数学) 工作满意度 知识管理 计算机科学 政治学 创造力 机器学习 法学
作者
Loredana Mihalca,Lucia Raţiu,Christoph Helm,Gabriela Brendea,Daniel Metz
出处
期刊:Baltic Journal of Management [Emerald Publishing Limited]
卷期号:19 (2): 163-182 被引量:4
标识
DOI:10.1108/bjm-05-2023-0191
摘要

Purpose Drawing upon the job demands-resources model, the purpose of this study is to investigate the differential relevance of contextual antecedents for job crafting dimensions (i.e. increasing structural and social job resources) and consequently for various aspects of work performance (in-role and extra-role performance). Despite considerable research on the role of job autonomy and social support in predicting job crafting, little attention has been paid to how problem-solving, a knowledge job characteristic, relates to job crafting dimensions. Design/methodology/approach Survey data were collected from 282 employees belonging to different information technology companies in Romania. Structural equation modeling was used to examine the hypothesized relations. Findings Problem-solving was positively related to both job crafting dimensions, whereas social support was positively related only to increasing social job resources. Unexpectedly, job autonomy predicted increasing structural resources only when social support was high, as the post-hoc analysis indicated. Furthermore, increasing structural job resources fully mediated the relationship of problem-solving with in-role performance and different types of extra-role behaviors, whereas increasing social resources did not act as a mediator. Originality/value The current study is the first to show that problem-solving is an important predictor for job crafting. Furthermore, this study contributes to the literature by revealing that crafting structural resources represents an important mechanism that explains the positive relationship between work design (i.e. problem-solving) and different performance facets.
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