Adaptive Workforce Development in Digital Service Eco-systems: Evidence from Frontline Employees

The rapid digitalization of service ecosystems, characterized by real-time feedback, platform-based complaints, and algorithm-driven monitoring, has increased service complexity and intensified the need for adaptive frontline workforce behavior, raising governance challenges related to pro-customer rule-breaking. This study aims to examine how discretionary HR practices influence pro-customer rule-breaking among frontline service employees, with affective commitment as a mediating mechanism and perceived customer-oriented climate as a moderating condition, contributing to workforce development and adaptive governance within smart and sustainable service systems. Using a quantitative cross-sectional design, data were collected from 158 frontline service employees across multiple customer-intensive sectors in the Greater Jakarta area and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that discretionary HR practices significantly and positively affect affective commitment and pro-customer rule-breaking, while affective commitment mediates the relationship between HR discretion and adaptive rule-breaking behavior. In addition, a strong customer-oriented climate strengthens the indirect effect of discretionary HR practices through affective commitment, although its direct moderating effect is not statistically significant. Overall, the findings highlight controlled discretion and affective attachment as critical workforce development mechanisms that support adaptive service performance without undermining governance integrity. From a sustainability perspective, this study contributes to SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 16 (Peace, Justice, and Strong Institutions) by emphasizing ethical, adaptive, and governance-aware service systems.