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Work Design and Compensation Strategies in a Post-COVID World: Evidence From Online Job Postings

  • Chunmian Ge (Co-first Author)
  • , Huiqi Deng (Co-first Author)
  • , Dongyuan Wu* (Co-first Author)
  • , Hanwei Huang* (Co-first Author)
  • , James H. Dulebohn (Co-first Author)
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This study examines how the COVID-19 pandemic, as a disruptive external shock, has reshaped organizational practices, with particular emphasis on changes in work design and compensation strategies. Drawing on a unique dataset of over 1.8 million online job postings from Chinese publicly listed firms, we employed a large language model to systematically quantify work design characteristics. Using a difference-in-differences approach, we found that the pandemic significantly enhanced skill variety, task identity, task significance, autonomy, feedback, and work-from-home feasibility. Notably, these effects varied by occupational nonroutineness: occupations with high nonroutineness exhibited larger increases in task significance but smaller increases in other work design characteristics. Moreover, work design characteristics mediated the relationship between the pandemic and salaries, though these indirect effects were attenuated for nonroutine occupations. Additionally, we observed post-pandemic adjustments in firms' compensation, including notable declines in performance-related pay and insurance benefits, accompanied by increases in subsidies. These findings provide new insights into how organizations redesign work and adjust compensation strategies in response to large-scale external shocks. © 2026 Wiley Periodicals LLC.
Original languageEnglish
Pages (from-to)975-994
JournalHuman Resource Management
Volume65
Issue number4
Online published11 Feb 2026
DOIs
Publication statusPublished - Jul 2026

Bibliographical note

Research Unit(s) information for this publication is provided by the author(s) concerned.

Funding

This work was supported by National Natural Science Foundation of China, 72422022, 72272055, 72202041, 72321001; National Social Science Fund of China, 23ZDA063; Research Grants Council of the Hong Kong SAR, China, CityU11501121.

Research Keywords

  • compensation strategies
  • COVID-19 pandemic
  • large language models
  • nonroutineness
  • online job postings
  • work design
  • work from home

RGC Funding Information

  • RGC-funded

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