概念化
安静的
度量(数据仓库)
心理学
应用心理学
计算机科学
数据挖掘
人工智能
物理
量子力学
作者
Mariam Arif Karrani,Shaker Bani‐Melhem,Faridahwati Mohd Shamsudin
标识
DOI:10.1080/02642069.2023.2286604
摘要
The prevalence and harmful impact of employee quiet quitting behaviours in organizational settings call for more research, yet the lack of understanding, conceptualization, and tailored measures hinder progress in addressing this issue effectively. To fill this gap, this study utilized a multiphase process to conceptualize and develop a measure of employee quiet quitting behaviours that is applicable in organizational settings. Using three samples from service organizations, we developed a reliable scale called the Quiet Quitting Scale (QQS), with a unidimensional factor structure replicated across three separate samples. The scale exhibits both convergent and discriminant validity, and criterion-related validity is demonstrated through the scale’s relation with employee disengagement, dissatisfaction, job stress and work alienation. Overall, the QQS is found to be a reliable and valid measure, while the quiet quitting construct offers important theoretical and practical implications.
科研通智能强力驱动
Strongly Powered by AbleSci AI