Psychological and Economic Dimensions of Gig Economy and Freelancing: Challenges and Opportunities in Modern Working Models
This article aims to comprehensively examine the psychological and economic effects of the gig economy and freelancing on modern working patterns. While the gig economy refers to a working model that generates income through short-term, independent jobs and projects, freelancing covers a broader form of independent work. The article analyzes the implications of these two working models on both individuals and the general economy. The gig economy and freelancing have significant effects on individuals' psychological states. Research shows that these ways of working offer high flexibility and independence, but also bring challenges such as uncertainty, low income security and social isolation. Key factors affecting psychological health include lack of job security, constant pressure to perform, and lack of social connection. This study examines how individuals cope with these psychological challenges and how they affect their quality of life. The gig economy and freelancing models present both economic opportunities and risks. Economic opportunities include faster entry into the job market, reduced costs, and access to a broader customer base. However, these models also carry risks such as economic uncertainties and lack of social protections such as health insurance and retirement plans. The article evaluates these economic elements and analyzes the financial challenges faced by freelancers and gig economy workers. As a result, while the gig economy and freelancing bring flexibility and independence to the modern workforce, they also create a variety of psychological and economic challenges. This study provides recommendations to minimize these challenges and maximize opportunities. In particular, it is emphasized that supportive social policies, psychological support programs and financial security systems should be developed.
Institutions
- St Clements University Higher Education School (NU)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-11
- DOI
- https://doi.org/10.5281/zenodo.14383457
- Primary Topic
- Signaling Pathways in Disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00