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An OECD survey of employee well-being: An instrument to measure employee well-being inside companies

Author

Listed:
  • Vincent Siegerink
  • Fabrice Murtin

Abstract

This working paper provides an overview of a standardised Employee Well-being Survey implemented in four companies in Japan. This survey aligns with international measurement guidelines and practices, including the 2017 OECD Guidelines on Measuring the Quality of the Working Environment, it has been developed under the guidance of the Committee on Statistics and Statistical Policy, and it allows for the calculation at firm level of an equivalent of the Job Strain index, namely the third pillar of the OECD Job Quality framework. The objectives of the study were: i) to pilot the new Employee Well-being Survey at the firm level; ii) to demonstrate the potential of harmonised employee survey data as a source of information on business social performance, with associated benefits for companies, stakeholders, investors, governments and national statistical offices; and iii) to operationalise one element of a proposed framework on measuring non-financial performance of businesses.

Suggested Citation

  • Vincent Siegerink & Fabrice Murtin, 2024. "An OECD survey of employee well-being: An instrument to measure employee well-being inside companies," OECD Papers on Well-being and Inequalities 24, OECD Publishing.
    • Handle: RePEc:oec:wiseaa:24-en
    DOI: 10.1787/74f48e24-en
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    More about this item

    Keywords

    corporate sustainability; Employee well-being; working conditions;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • J81 - Labor and Demographic Economics - - Labor Standards - - - Working Conditions
    • M54 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Labor Management
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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