Predicting Sustainable Employability in Swedish Healthcare: The Complexity of Social Job Resources.

Predicting Sustainable Employability in Swedish Healthcare: The Complexity of Social Job Resources.

Roczniewska, Marta;Richter, Anne;Hasson, Henna;Schwarz, Ulrica von Thiele;
International journal of environmental research and public health 2020 Vol. 17
268
roczniewska2020predictinginternational

Abstract

Achieving sustainable employability (SE), i.e., when employees are able to continue working in a productive, satisfactory, and healthy manner, is a timely challenge for healthcare. Because healthcare is a female-dominated sector, our paper investigated the role of social job resources in promoting SE. To better illustrate the complexity of the organizational environment, we incorporated resources that operate at different levels (individual, group) and in different planes (horizontal, vertical): trust (individual-vertical), teamwork (group-horizontal), and transformational leadership (group-vertical). Based on the job demands-resources model, we predicted that these resources initiate the motivational process and thus promote SE. To test these predictions, we conducted a 3-wave study in 42 units of a healthcare organization in Sweden. The final study sample consisted of 269 professionals. The results of the multilevel analyses demonstrated that, at the individual level, vertical trust was positively related to all three facets of SE. Next, at the group level, teamwork had a positive link with employee health and productivity, while transformational leadership was negatively related to productivity. These findings underline the importance of acknowledging the levels and planes at which social job resources operate to more accurately capture the complexity of organizational phenomena and to design interventions that target the right level of the environment.

Access

Citation

ID: 97800
Ref Key: roczniewska2020predictinginternational
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
97800
Unique Identifier:
E1200
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet