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In recent years, new R&D institutions have emerged in China, distinguished from traditional research entities by their unique structure and objectives. This study explores the impact of person-job fit on the innovative behavior of 334 researchers within these institutions. Through hierarchical regression analysis and bootstrap methods, we find that person-job fit significantly enhances innovative behavior. Furthermore, self-efficacy and job involvement partially mediate this relationship. These findings offer practical implications for managers seeking to foster innovation by aligning employees' roles with their skills and motivations, thereby improving organizational effectiveness and supporting strategic business decisions.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11913163 | PMC |
http://dx.doi.org/10.3389/fpsyg.2025.1550324 | DOI Listing |
Behav Sci (Basel)
August 2025
School of Management, Zhejiang Gongshang University Hangzhou College of Commerce, Hangzhou 311508, China.
Grounded in the person-environment fit theory and an identity-based perspective, this study investigated the relationship between perceived overqualification and knowledge hiding, focusing on the mediating role of future work self-salience and the moderating role of the growth mindset. We suggest that perceived overqualification as a person-job misfit would negatively impact employees' salient hoped-for work identities, representing a low level of future work self-salience. The diminished salience of a future work self leads employees to hide their knowledge.
View Article and Find Full Text PDFRehabilitation (Stuttg)
August 2025
Psychotherapy and Diagnostics, Technische Universität Braunschweig, Braunschweig, Germany.
Sick leave due to mental disorders is a world-wide problem. The key issue for work ability is a good person-job-fit, i. e.
View Article and Find Full Text PDFEntropy (Basel)
June 2025
School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an 710121, China.
Online recruitment platforms are transforming talent acquisition paradigms, where a precise person-job fit plays a pivotal role in intelligent recruitment systems. However, current methodologies predominantly rely on coarse-grained semantic analysis, failing to address the textual structural dependencies and noise inherent in resumes and job descriptions. To bridge this gap, the novel fine-grained semantics-enhanced graph neural network for person-job fit (FSEGNN-PJF) framework is proposed.
View Article and Find Full Text PDFCurr Opin Psychol
October 2025
Tilburg School of Social and Behavioral Sciences, Tilburg University, Warandelaan 2, 5037 AB, Tilburg, the Netherlands.
Personality traits are among the strongest non-cognitive predictors of job performance, but many trait models exist that are used to predict different performance outcomes. To structure and synthesize this vast amount of research, we review empirical evidence and emerging trends regarding the relations of the Big Five, HEXACO, and Dark Triad traits with three indicators of job performance (i.e.
View Article and Find Full Text PDFFront Psychol
April 2025
Business School, Shandong University of Technology, Shandong, China.
With the development of the digital economy and digital technology, innovation-driven growth has become the key to the digital transformation of various organizations. Employee behavior and digital leadership affect the innovative performance of a company significantly. Using the proactive motivation model, this study constructed a moderated mediation model with job crafting as the mediating variable and person-job fit as the moderating variable.
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