Frontiers in psychology · 2026
Crafting work with AI: human-AI collaborative job crafting, human-AI fit, and employee job performance.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Bao Jun, Wang Qiutong, Pan Yiting, Wang Xiaoqian, Zheng Yuying
Аннотация
INTRODUCTION: Drawing on sociotechnical systems theory, this study examines how and when human-AI collaborative job crafting is associated with employee job performance.
METHODS: Using three-wave data from 485 employees and their direct supervisors, we tested a moderated mediation model involving human-AI fit and inclusive human resource practices.
RESULTS: Human-AI collaborative job crafting was positively associated with human-AI fit, which in turn was associated with higher job performance. Inclusive human resource practices strengthened the positive relationship between human-AI collaborative job crafting and human-AI fit, thereby amplifying its indirect effect on job performance.
DISCUSSION: These findings extend research on job crafting, human-AI fit, and inclusive HR practices, and offer practical implications for organizations seeking to improve employee performance through effective human-AI collaboration.
METHODS: Using three-wave data from 485 employees and their direct supervisors, we tested a moderated mediation model involving human-AI fit and inclusive human resource practices.
RESULTS: Human-AI collaborative job crafting was positively associated with human-AI fit, which in turn was associated with higher job performance. Inclusive human resource practices strengthened the positive relationship between human-AI collaborative job crafting and human-AI fit, thereby amplifying its indirect effect on job performance.
DISCUSSION: These findings extend research on job crafting, human-AI fit, and inclusive HR practices, and offer practical implications for organizations seeking to improve employee performance through effective human-AI collaboration.