Analyzing Job Satisfaction among Gig Workers Using Smart HR 4.0 Technologies
The fast progress of the gig economy has shaken the traditional approaches to employment, offering both new possibilities and challenges to the concept of job satisfaction. This paper examines job satisfaction amongst gig employees as Smart HR 4.0 technologies and incorporates the individual, organizational and technological perspective. The results indicate that individual dynamics like work-life balance, income consistency, gender disparities, and social connectedness are a decisive factor in the satisfaction. Engagement and effectiveness are further determined by organizational dimensions such as job autonomy, flexibility and person job fit. The technological enablers, especially Smart HR 4.0 practices, e-HRM systems, data analytics, and Industry 4.0 enabled HR solutions become important moderators that enhance the positive effects of job and organizational attributes on the satisfaction of gig workers. This paper suggests a conceptual framework in which job satisfaction would be a product of all these interacting factors as well as a mediator between the factors and performance, engagement, and career sustainability. Findings indicate that Smart HR 4.0 has the potential to improve transparency, promote communication, and present a data-driven insight, which eventually promotes long-term employability and value creation by an organization. This study is both theoretically and practically informative by filling the gap between the traditional HR paradigm and the needs of the digital gig economy. It educates HR professionals, policy-makers and platform designers of ways to maximize worker engagement, equity, and sustainability. On the whole, the research highlights the possibility of technologically empowered HR practices that will help to transform gig work into a more fulfilling and sustainable career choice.
Authors
- Siddiqui Lubna Javed Hasan
- M Mallikarjuna
- Rashmi Panchbhai
- Pragya Sikarwar
Institutions
- Jiwaji University (IN)
- Institute of Materials, Minerals and Mining (GB)
- ITM University (IN)
- Jawaharlal Nehru Technological University Anantapur (IN)
Publication Details
- Journal
- JOURNAL OF NOVEL RESEARCH AND INNOVATIVE DEVELOPMENT
- Published
- 2025-01-01
- DOI
- https://doi.org/10.56975/jnrid.v3i9.701648
- Primary Topic
- Impact of AI and Big Data on Business and Society
- Type
- article
- Field-Weighted Citation Impact
- 0.00