English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Digital technologies are rapidly transforming the world of work, creating digital labor markets. Based on transaction cost theory and labor market segmentation theory, this study adopts binary logistic and multiple regression models and uses EPWK transaction data ( n  = 21,808) to empirically examine the institutional segmentation phenomenon of digital labor markets. This study finds institutional segmentation existing in such markets, owing to differences in the Witkey level among employees, thus leading to inequality in work opportunities and labor remuneration income. Further, transaction mode and task type moderate the segmentation phenomenon. Suggestions are offered to reduce institutional segmentation by improving the platform system.

Institutional Segmentation, Inequality in Work Opportunities, and Income in Digital Labor Markets: Evidence Based on Witkey Transactions