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Precarious work and workplace dignity during COVID-19: A longitudinal study.

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Precarious work predicted job loss during the COVID-19 pandemic and reduced survival needs for those employed. Workplace dignity and need fulfillment were reciprocal, highlighting their importance for well-being.

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Area of Science:

  • Psychology
  • Sociology
  • Organizational Behavior

Background:

  • The psychology of working theory (PWT) provides a framework for understanding work's impact on well-being.
  • Precarious work and workplace dignity are critical factors influencing employee experiences.
  • Basic needs fulfillment (survival, social contribution, self-determination) is essential for psychological health.

Purpose of the Study:

  • To examine longitudinal relationships between precarious work, workplace dignity, and basic need fulfillment.
  • To explore predictors of job loss during the early COVID-19 pandemic.
  • To expand the psychology of working theory (PWT) by investigating these work conditions.

Main Methods:

  • A longitudinal survey design was employed with working adults in the United States.
  • Data were collected across three waves over a three-month period (starting March 2020).
  • Statistical analyses examined predictive relationships among study variables, including job loss.

Main Results:

  • Precarious work in March 2020 predicted job loss in May 2020 due to COVID-19.
  • For employed individuals, precarious work predicted decreased fulfillment of survival needs over time.
  • Workplace dignity and relatedness needs fulfillment showed a reciprocal relationship; dignity also predicted social contribution, autonomy, and competence needs fulfillment.

Conclusions:

  • Precarious work and workplace dignity are significant work conditions impacting basic need fulfillment over time.
  • The findings extend PWT by demonstrating the distinct roles of precarious work and dignity in need satisfaction.
  • Understanding these factors is crucial for promoting employee well-being, especially in times of economic uncertainty.