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Journal : Asian Journal of Management Analytics

Managerial Consequences of the Algorithmic Determination of Incentive Decisions on Procedural Justice Perceptions in Production Line Warsono, Heribertus Yudho; Widada, Dharma; Sumarliani, Sri
Asian Journal of Management Analytics Vol. 4 No. 3 (2025): July 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajma.v4i3.14997

Abstract

This study investigates the managerial consequences of algorithm-based decision-making in incentive allocation on production line workers’ perceptions of procedural fairness. Grounded in organizational justice theory and the socio-technical systems framework, the research explores how algorithm transparency, process clarity, and perceived impartiality influence fairness judgments. Using a mixed-method approach, data were collected from 186 factory workers through surveys, complemented by in-depth interviews, and analyzed using structural equation modeling. The findings reveal that low algorithm transparency correlates negatively with perceptions of procedural fairness, while the absence of human involvement in decision-making reduces trust in managerial systems. These results emphasize the need for human-centered algorithm design and fair management practices to uphold employee trust and fairness in Industry 4.0 environments.
The Influence of Environmental Cost Accounting Integration on Profit Margin Optimization in Manufacturing Companies Based on Circular Economy Amin, M.; Mutira, Putri; Ramandei, Pilipus; Widada, Dharma; Harahap, Subur
Asian Journal of Management Analytics Vol. 4 No. 3 (2025): July 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajma.v4i3.15000

Abstract

This study investigates the impact of integrating environmental cost accounting on profit margin optimization in manufacturing companies adopting circular economy principles. As sustainability pressures increase, firms must internalize environmental externalities through proper cost identification, allocation, and reporting. Using a quantitative approach, the study analyzes secondary data from 60 manufacturing firms listed on the Indonesia Stock Exchange from 2019 to 2023 through multiple regression analysis. The key variables include the integration of environmental cost components—prevention, remediation, and disposal—and their influence on gross and net profit margins. Results show a significant positive relationship (p < 0.01), with integration linked to improved efficiency, waste reduction, and profitability.