文献类型：期刊文献

英文题名：Adaptive job recrafting of gig workers: Concept, measurement, and validation of its impact on job satisfaction

作者：Lin, Qingxiu[1,2];Sun, Rui[3];Zhu, Qiuhua[3]

机构：[1]Guangdong Ocean Univ, Coll Management, Zhanjiang, Peoples R China;[2]Huaqiao Univ, Coll Business Adm, Quanzhou, Peoples R China;[3]Huaqiao Univ, Fujian Humanities & Social Sci Base, Oriental Enterprise Management Res Ctr, Quanzhou, Peoples R China

年份：2026

卷号：262

外文期刊名：ACTA PSYCHOLOGICA

收录：SSCI(收录号：WOS:001637287500001)、、WOS

基金：This work was supported by National Social Sciences Fund of China (21FGLB041) .

语种：英文

外文关键词：Gig workers; Adaptive job recrafting; Scale development; Job satisfaction

外文摘要：In the gig economy dominated by algorithmic control, online labor platforms tend to reduce work resources while increasing job demands, leading gig workers to face weakened agency and declining job satisfaction. This study integrates adaptive structuration theory and job crafting theory to propose the concept of adaptive job recrafting for gig workers who perceived algorithmic control, systematically exploring its connotations and impact mechanisms through a multi-stage mixed-methods research design. First, the grounded theory method is applied to construct a four-dimensional model of adaptive job recrafting comprising algorithm task debugging, socio-technical mutual construction, collaborative skill expansion, and identity cognition evolution. Subsequently, a 19-item measurement instrument was developed following rigorous scale development procedures, with reliability and validity confirmed through empirical testing. Finally, based on the Job Demands-Resources model, a longitudinal survey was conducted to empirically test the positive impact mechanism of adaptive job recrafting on job satisfaction, revealing the partial mediating role of work engagement and the moderating role of psychological capital. This study transcends the limitations of traditional job crafting theory by unveiling the adaptive mechanisms of human-technology interaction under algorithmic control. The practical implications provide evidence for platforms to optimize algorithmic design (such as reserving crafting spaces and incorporating performance evaluation) and for gig workers to construct systematic crafting strategies, helping to achieve a dynamic balance between control and empowerment.