LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Structural Dimension Exploration and Measurement Scale Development of Employee Involution in China’s Workplace Field

Photo by hudsoncrafted from unsplash

The phenomenon of workplace involution has attracted ample attention. How to make employees treat their work with the correct attitude and behavior and improve their work performance has become a… Click to show full abstract

The phenomenon of workplace involution has attracted ample attention. How to make employees treat their work with the correct attitude and behavior and improve their work performance has become a realistic proposition. This study uses a combination of qualitative and quantitative research methods, with the help of grounded theory, to conduct an exploratory study on the structural dimensions of employee involution in the Chinese workplace and, on this basis, to develop and test the measurement scale. The research results show that employee involution is a multi-dimensional construct with rich connotations, including four dimensions: inefficient busyness, exhaustion of innovation, promotion anxiety, and internal competition. The measurement scale consists of four factors and 13 items. The factor analysis results showed that the developed scale’s reliability and validity reached an ideal level. To a certain extent, this study promotes the recognition and attention of various types of organizations at all levels to involution. The research conclusions provide theoretical guidance for employees to get rid of the involution crisis and will motivate managers to formulate better intervention measures to prevent and reduce workplace involution.

Keywords: measurement scale; scale; employee involution; involution; workplace

Journal Title: International Journal of Environmental Research and Public Health
Year Published: 2022

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.