Powered by OpenAIRE graph
Found an issue? Give us feedback
e-mentorarrow_drop_down
e-mentor
Article . 2023 . Peer-reviewed
Data sources: Crossref
addClaim

Applying the PERMA model in employee wellbeing

Authors: Artur Wilczyński; Ewa Kołoszycz;

Applying the PERMA model in employee wellbeing

Abstract

The aim of this study is to define the essence of wellbeing in employee management, and present the functionality of the PERMA model in positive psychology. The first part of the study describes the multidimensionality of the concept of wellbeing and the difficulties in defining it. An important element of the conducted analysis is the presentation of the positive effects of the implementation of wellbeing in organisations, including elements of wellbeing dimensions and activities affecting wellbeing, while the most important part of the article is the diagnosis of the applicability of the PERMA model in the study of employee wellbeing and positive education. Different elements of the model are described and the latest solutions with regards to its improvement are presented. An analysis of the literature showed that a model with four additional dimensions - physical health, mindset, work environment and economic security - may be the most useful for analysing employee wellbeing. The next part of this publication is devoted to the use of the PERMA model in the classification of interventions, where we show that the model not only enables diagnosis of the weaknesses of wellbeing, but even facilitates the assigning of specific interventions. These solutions make it possible to build wellbeing that positively impacts employee behaviour, with the authors indicating discrepancies in the activities undertaken by organisations and the needs of employees with regards to wellbeing. The findings suggest that employees expect activities related to the development of their mental dimension and economic security, not necessarily related to physical health, which are most commonly implemented by organisations.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    4
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!