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Generation Z's Readiness for the Gig Economy: The Role of Digital Literacy, Self-Efficacy, and Career Orientation Reska Rahmatullah; Ghia Subagja; Lina Dameria Siregar; Ahmad Khoirun Najib
Journal of Economics and Management Scienties Volume 8 No. 2, March 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jems.v8i2.342

Abstract

Gig economy continues to expand rapidly, reshaping employment patterns among young generations, particularly Generation Z raised in digital environments. This study investigates the effects of digital literacy, self-efficacy, and career orientation on university students’ readiness for the gig economy. A quantitative approach was employed involving 227 Generation Z students from Universitas Sriwijaya. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The measurement model demonstrated strong validity and reliability, with factor loadings above 0.70, AVE values exceeding 0.50, and composite reliability above 0.90. The structural model showed substantial explanatory power (R² = 0.639; Q² = 0.403). Self-efficacy (β = 0.356) and career orientation (β = 0.358) emerged as the strongest predictors, while digital literacy also had a significant effect (β = 0.195). These findings highlight that gig economy readiness is shaped by the integration of digital competence, psychological capacity, and career clarity, underscoring the importance of strengthening digital literacy, self-efficacy development, and career planning services in higher education.
Extending the Technology Acceptance Model for Electric Vehicle Adoption in Palembang Ghia Subagja; Reska Rahmatullah; Ahmad Khoirun Najib; Rahellia Panjaitan
Journal of Economics and Management Scienties Volume 8 No. 2, March 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jems.v8i2.372

Abstract

This study aims to analyzes electric vehicle (EV) adoption in Palembang, Indonesia by extending the Technology Acceptance Model (TAM) with environmental concern and government support. EV adoption is increasingly important as cities seek to reduce transport emissions, but growing urban areas still face practical and behavioral barriers. A quantitative survey of 300 EV users in Palembang was conducted through an online questionnaire capturing daily experience, perceived benefits, ease of use, and views on government support. Data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The findings show that perceived usefulness and perceived ease of use have positive and significant effects on EV adoption. Perceived ease of use also has a positive and significant effect on attitude, and attitude further supports adoption. Environmental concern and government support likewise have positive and significant effects, indicating that care for the environment and supportive policies and infrastructure strengthen users’ decisions. Overall, the results suggest that EV adoption is shaped by both technology perceptions and wider policy support. These findings imply that faster EV uptake in Palembang can be supported by improving usability and charging convenience, communicating clear benefits, and expanding incentives, charging facilities, and consistent public information to reduce uncertainty and encourage wider adoption locally.