Open Access Indonesia Journal of Social Sciences

Algorithmic Management, Perceived Precarity, and Collective Identity Formation Among Indonesian Gig Economy Workers

Darlene Sitorus, Benyamin Wongso, Henrietta Noir — Tue, 26 May 2026 14:25:38 +0000

This cross-sectional study examines the relationships between algorithmic management intensity, perceived precarity, digital literacy, and social identity transformation among Indonesian gig economy workers (n=324). Drawing on social identity theory and precarious work frameworks, we investigate how platform-mediated algorithmic control systems affect collective identity formation processes in one of Southeast Asia’s largest digital labor markets. Participants were recruited from ride-hailing (n=128), food delivery (n=112), and freelance digital service (n=84) platforms in Jakarta and Surabaya. Four validated instruments measured algorithmic management intensity (16 items, α=0.89), perceived precarity (12 items, α=0.86), social identity transformation (20 items, α=0.91), and digital literacy (8 items, α=0.84). Hierarchical multiple regression analysis revealed that the combined model explained 41.8% of variance in social identity transformation (R²=0.418, Adjusted R²=0.395, F(15,308)=14.78, p<0.001, Cohen’s f²=0.718). The strongest predictors were automated deactivation threat (β=-0.385, p<0.001), performance rating pressure (β=-0.318, p<0.001), algorithmic surveillance (β=-0.267, p<0.001), and income instability (β=-0.209, p<0.001). Digital literacy emerged as a significant protective factor (β=0.198, p<0.001), suggesting that workers with greater digital competencies maintain stronger collective identities despite algorithmic pressures. These findings extend social identity theory to platform labor contexts and demonstrate that algorithmic management systems fundamentally disrupt traditional mechanisms of collective identity formation, with implications for worker organizing, platform governance, and labor policy in developing digital economies.

Association Between Spatial Justice Indicators and Perceived Quality of Life Among Residents of Post-Industrial Urban Neighborhoods in Palembang, Indonesia

Christian Napitupulu, Vita Amanda, Aylin Yermekova — Fri, 29 May 2026 13:31:45 +0000

Urbanization and post-industrial transitions have created spatial inequities that may influence residents’ quality of life (QoL). This cross-sectional analytical study examined the association between spatial justice indicators and perceived quality of life among 384 adult residents from three post-industrial neighborhoods (Area A, Area B, and Area C) in Palembang, South Sumatra, Indonesia. Data were collected using validated questionnaires measuring spatial justice indicators (green space access, healthcare access, public transport access, community center access), neighborhood safety, social cohesion, governance participation, and perceived QoL using an adapted WHO Quality of Life Brief instrument. Among the 384 respondents (mean age 42.0 ± 11.0 years; 50.3% female), 289 (75.3%) reported good QoL. Multivariate logistic regression revealed that high spatial justice index (aOR=3.49; 95% CI: 2.25–5.43; p<0.001), high governance participation (aOR=2.59; 95% CI: 1.85–3.62; p=0.002), green space access (aOR=2.12; 95% CI: 1.63–2.76; p=0.004), healthcare access (aOR=2.01; 95% CI: 1.57–2.58; p=0.007), neighborhood safety (aOR=1.85; 95% CI: 1.32–2.60; p=0.003), and social cohesion (aOR=1.68; 95% CI: 1.18–2.39; p=0.012) were significantly associated with good QoL. The Hosmer–Lemeshow test (p=0.684) and Nagelkerke R²=0.348 confirmed adequate model fit. Spatial justice indicators, particularly green space and healthcare accessibility, governance participation, and neighborhood safety, were independently associated with better perceived QoL in post-industrial communities

Association Between Eco-Anxiety and Civic Engagement Among University Students in Jakarta: The Moderating Role of Institutional Trust

Aman Suparman, Zahra Amir, Ervin Munandar — Sat, 30 May 2026 01:19:09 +0000

Climate change has emerged as one of the most pressing global challenges, generating widespread psychological distress among younger populations. This cross-sectional study examined the association between eco-anxiety and civic engagement among 412 university students recruited from three universities (University A, University B, and University C) in Jakarta, Indonesia, and investigated the moderating role of institutional trust. Data were collected using validated questionnaires measuring eco-anxiety, civic engagement, institutional trust, environmental organization membership, social media exposure, self-efficacy, and demographic variables. Among the 412 respondents (mean age 21.3 ± 2.1 years; 55.3% female), 137 (33.3%) demonstrated high civic engagement. Multivariate logistic regression revealed that institutional trust was the strongest predictor (aOR=5.82; 95% CI: 3.41–9.93; p<0.001), followed by environmental organization membership (aOR=4.27; 95% CI: 2.63–6.93; p<0.001), eco-anxiety (aOR=3.84; 95% CI: 2.31–6.38; p<0.001), self-efficacy (aOR=2.96; 95% CI: 1.82–4.81; p<0.001), and social media exposure (aOR=2.43; 95% CI: 1.47–4.02; p=0.001). The interaction between eco-anxiety and institutional trust was statistically significant (OR=1.42; 95% CI: 1.01–1.99; p=0.043). Stratified analysis showed that among students with high institutional trust and high eco-anxiety, 94.4% demonstrated high civic engagement compared to 33.3% among those with low trust and low eco-anxiety. The model demonstrated excellent discriminative ability (AUC=0.879) and adequate fit (Hosmer-Lemeshow p=0.538; Nagelkerke R²=0.42).