Appalachian State University
Browse

Lives Of The Lonely: How Collaborative Consumption Services Can Alleviate Social Isolation

Download (283.19 kB)
journal contribution
posted on 2025-10-27, 17:09 authored by Merlyn A. Griffiths, B. Yasanthi Perera, Pia A. Albinsson
Loneliness and social isolation are significant public health concerns that affect individual and community wellbeing. Certain urban centers have seen an increase in “lonely deaths” which entail “people, often elderly, dying alone without anyone noticing” (Rashid, 2017). Termed “godoska” by South Koreans, and “kodokushi” by the Japanese (Rashid, 2017), this “death by isolation” (Albinsson et al., 2021) is an extreme consequence of loneliness. Research findings indicate that individuals’ health-related behaviors, their mental and physical health, as well as their risk of death are influenced by the quantity and quality of their social relationships (Umberson and Karas Montez, 2010). According to the Cacioppo Evolutionary Theory of Loneliness, in all age groups, the experience of feeling lonely elicits a host of behavioral and biological processes that contributes to premature death (National Institute on Aging, 2019). Those that are isolated or less socially integrated are physically and psychologically less healthy and thus at greater risk of mortality (Shankar et al., 2011). While this public health concern is being addressed at multiple levels (e.g., government and local community programs), another avenue of exploration is whether sharing economy (SE) initiatives can foster human connections and thereby reduce social isolation and loneliness.<p></p>

History

AI-Assisted

  • No

Year Created

2022

College or School

  • Walker College of Business

Department

Marketing & Supply Chain Management

Language

English

Access Rights

  • Open

Content Genre or Classification

Journal article

Usage metrics

    Research, Scholarly, & Creative Outputs

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC