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Aylin Yermekova
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Humanities Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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Governing the Algorithm: A Mediation Analysis of Digital Transformation, Bureaucratic Discretion, and Service Quality in a Developing Democracy Emir Abdullah; Aylin Yermekova; Benyamin Wongso; Ahmad Badruddin
Open Access Indonesia Journal of Social Sciences Vol. 8 No. 4 (2025): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v8i4.293

Abstract

Governments worldwide are implementing digital transformation policies to enhance public service delivery. However, the impact of these algorithm-driven systems on street-level bureaucrats remains critically under-examined. This study investigates the complex pathways through which Indonesia's e-government policy affects bureaucratic work and service outcomes. This study employed a mixed-methods explanatory sequential design. Quantitative data were collected from 500 public officials across five Indonesian provinces. An E-Government Implementation Index (EGII) was constructed. We used Ordinary Least Squares (OLS) regression and a formal mediation analysis with bootstrapping to analyze the relationships between EGII, Perceived Bureaucratic Discretion (PBD), and Bureaucrat-Perceived Public Service Quality (B-PSQ). This was supplemented by 20 in-depth, semi-structured interviews to explain the statistical findings. Regression analysis confirmed a significant negative association between EGII and PBD (β = -0.47, p < 0.001) and a significant positive association between EGII and B-PSQ (β = 0.62, p < 0.001). The mediation analysis revealed that EGII has a strong, positive direct effect on B-PSQ (Effect = 0.57, p < 0.001) and a small but significant negative indirect effect through the reduction of PBD (Effect = -0.05, p < 0.01). Qualitative data revealed that officials feel constrained by "algorithmic cages" that, while improving efficiency, limit their ability to handle exceptional cases, thereby risking service equity for marginalized citizens. In conclusion, Indonesia’s digital transformation presents a complex trade-off. It successfully enhances administrative efficiency but simultaneously curtails the beneficial discretion of frontline bureaucrats, creating a small but significant drag on service quality. Effective digital governance requires a hybrid model that embeds algorithmic systems within a framework that empowers, rather than replaces, human judgment.
Governing the Algorithm: A Mediation Analysis of Digital Transformation, Bureaucratic Discretion, and Service Quality in a Developing Democracy Emir Abdullah; Aylin Yermekova; Benyamin Wongso; Ahmad Badruddin
Open Access Indonesia Journal of Social Sciences Vol. 8 No. 4 (2025): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v8i4.293

Abstract

Governments worldwide are implementing digital transformation policies to enhance public service delivery. However, the impact of these algorithm-driven systems on street-level bureaucrats remains critically under-examined. This study investigates the complex pathways through which Indonesia's e-government policy affects bureaucratic work and service outcomes. This study employed a mixed-methods explanatory sequential design. Quantitative data were collected from 500 public officials across five Indonesian provinces. An E-Government Implementation Index (EGII) was constructed. We used Ordinary Least Squares (OLS) regression and a formal mediation analysis with bootstrapping to analyze the relationships between EGII, Perceived Bureaucratic Discretion (PBD), and Bureaucrat-Perceived Public Service Quality (B-PSQ). This was supplemented by 20 in-depth, semi-structured interviews to explain the statistical findings. Regression analysis confirmed a significant negative association between EGII and PBD (β = -0.47, p < 0.001) and a significant positive association between EGII and B-PSQ (β = 0.62, p < 0.001). The mediation analysis revealed that EGII has a strong, positive direct effect on B-PSQ (Effect = 0.57, p < 0.001) and a small but significant negative indirect effect through the reduction of PBD (Effect = -0.05, p < 0.01). Qualitative data revealed that officials feel constrained by "algorithmic cages" that, while improving efficiency, limit their ability to handle exceptional cases, thereby risking service equity for marginalized citizens. In conclusion, Indonesia’s digital transformation presents a complex trade-off. It successfully enhances administrative efficiency but simultaneously curtails the beneficial discretion of frontline bureaucrats, creating a small but significant drag on service quality. Effective digital governance requires a hybrid model that embeds algorithmic systems within a framework that empowers, rather than replaces, human judgment.
Spatial Heterogeneity of Child Malnutrition and Governance Fragility: A Geographically Weighted Regression Analysis of Stunting and Political Instability in Indonesia’s Peripheral Regions Fitriyanti Fitriyanti; Aylin Yermekova; Ahmad Erza; Alex Putra Pratama
Open Access Indonesia Journal of Social Sciences Vol. 8 No. 3 (2025): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v8i3.303

Abstract

Stunting remains a critical public health challenge in Indonesia, particularly in peripheral regions known as Terdepan, Terluar, Tertinggal (3T). While biological and nutritional factors are well-documented, the impact of political instability and governance fragility on health outcomes remains under-explored. This study investigates the spatial relationship between political instability and stunting prevalence across Indonesia's peripheral districts. We employed Geographically Weighted Regression (GWR) to analyze spatial non-stationarity. Data were analyzed for 122 peripheral districts, integrating the Stunting Prevalence Index (SPI) as the dependent variable and the Political Instability Index (PII), poverty rates, and healthcare accessibility as predictors. Global Moran’s I was used to detect spatial autocorrelation. Significant spatial clustering was identified (Moran’s I = 0.48, p < 0.001). The GWR model significantly outperformed the Ordinary Least Squares (OLS) model (R-squared GWR = 0.76 versus R-squared OLS = 0.54), revealing that political instability has a disproportionately higher impact on stunting in the Eastern Indonesia cluster—specifically Papua and Maluku—compared to Western peripheral zones. In conclusion, stunting interventions in peripheral regions must transcend clinical nutrition to include governance stabilization. Tailored, location-specific policies are essential for regions where political fragility exacerbates supply chain disruptions for health services.
Spatial Heterogeneity of Child Malnutrition and Governance Fragility: A Geographically Weighted Regression Analysis of Stunting and Political Instability in Indonesia’s Peripheral Regions Fitriyanti Fitriyanti; Aylin Yermekova; Ahmad Erza; Alex Putra Pratama
Open Access Indonesia Journal of Social Sciences Vol. 8 No. 3 (2025): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v8i3.303

Abstract

Stunting remains a critical public health challenge in Indonesia, particularly in peripheral regions known as Terdepan, Terluar, Tertinggal (3T). While biological and nutritional factors are well-documented, the impact of political instability and governance fragility on health outcomes remains under-explored. This study investigates the spatial relationship between political instability and stunting prevalence across Indonesia's peripheral districts. We employed Geographically Weighted Regression (GWR) to analyze spatial non-stationarity. Data were analyzed for 122 peripheral districts, integrating the Stunting Prevalence Index (SPI) as the dependent variable and the Political Instability Index (PII), poverty rates, and healthcare accessibility as predictors. Global Moran’s I was used to detect spatial autocorrelation. Significant spatial clustering was identified (Moran’s I = 0.48, p < 0.001). The GWR model significantly outperformed the Ordinary Least Squares (OLS) model (R-squared GWR = 0.76 versus R-squared OLS = 0.54), revealing that political instability has a disproportionately higher impact on stunting in the Eastern Indonesia cluster—specifically Papua and Maluku—compared to Western peripheral zones. In conclusion, stunting interventions in peripheral regions must transcend clinical nutrition to include governance stabilization. Tailored, location-specific policies are essential for regions where political fragility exacerbates supply chain disruptions for health services.
Co-Authors Ahmad Badruddin Ahmad Erza Alex Putra Pratama Benyamin Wongso Emir Abdullah fitriyanti fitriyanti