144
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Leveraging Multisolving to Impact Workforce Wellbeing Through Community Collaboration

ORCID Icon, ORCID Icon & ORCID Icon
Pages 363-368 | Published online: 15 Aug 2023
 

ABSTRACT

Multisolving strategically addresses multiple problems simultaneously through a single investment of time or money, benefiting organizations and communities amid a global polycrisis. This proactive approach reflects an organizational commitment to systemic and holistic solutions, which may resonate with social work and human service leaders for its inclusivity, proactive and progressive approaches, which signal to social work and human service leaders that organizations are interested in meeting the diverse needs and concerns of their employees and communities. Adopting multisolving within these organizations aligns with international and domestic goals and fosters talent, driving retention, advancement, and job satisfaction, thus benefiting communities. This article advocates multisolving's expansive adoption, emphasizing its relevance in social work research and practice. Real-world examples highlight its transformative impact, showcasing its role in fostering innovation and resilience. Multisolving's integrative and sustainable approach could guide the way for social workers navigating intricate challenges and epitomizing holistic problem-solving.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 445.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.