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All Journal Jurnal Informatika Ekonomi Bisnis Journal of Economics and Management Scienties
P, Muhammad Carda
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science Social Sciences

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AI-Driven Performance Management: Enhancing Objectivity and Efficiency Basalamah, Indira; P, Muhammad Carda
Journal of Economics and Management Scienties Volume 7 No. 3, June 2025
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jems.v7i3.134

Abstract

Traditional performance management systems are frequently criticized for subjectivity, inconsistency, and delayed feedback. To address these limitations, organizations are increasingly adopting Artificial Intelligence (AI) to enable real-time, data-driven employee evaluations. While AI enhances objectivity and operational efficiency, its deployment introduces several critical challenges. These include algorithmic bias rooted in historical data, opacity in decision-making logic, employee concerns about digital surveillance, and organizational resistance to automated appraisal systems. This article presents a systematic review of scholarly literature and enterprise case studies published between 2020 and 2024 to examine how AI is reshaping performance management practices. Four core themes are identified: bias mitigation, feedback automation, ethical risks, and large-scale implementation. The analysis reveals that AI can improve evaluation accuracy and responsiveness—particularly in hybrid and digital-first environments—when accompanied by transparency, ethical oversight, and human interpretability. Rather than replacing managerial judgment, AI should serve as an augmentation tool within a human-centered performance ecosystem.
Job Crafting as an Adaptive Strategy to Prevent Burnout in Digital Work Enviroments P, Muhammad Carda; Basalamah, Indira
Jurnal Informatika Ekonomi Bisnis Vol. 7, No. 4 (December 2025)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/infeb.v7i4.1316

Abstract

This study examines the role of job crafting as an adaptive strategy to prevent burnout in digital work environments where employees face continuous connectivity, rapid communication cycles, and high task intensity. The objective of this research is to identify how different forms of job crafting contribute to reducing emotional exhaustion and sustaining employee well being in technology driven settings. A quantitative descriptive design was used, supported by an online survey distributed to employees working in digital or hybrid arrangements across various sectors. The data collected included job crafting behaviors, burnout indicators, and perceived digital work demands. The analysis revealed that job crafting shows a significant negative relationship with burnout, indicating that employees who proactively modify their tasks, interactions, and perceptions tend to experience lower levels of strain. Task crafting demonstrated the strongest effect in reducing burnout, while relational and cognitive crafting also contributed meaningful support. Digital work demands, on the other hand, were found to have a strong positive influence on burnout, highlighting the pressure created by constant digital engagement. The findings conclude that job crafting functions as a practical, flexible, and effective strategy for enhancing resilience and maintaining psychological balance in digital workplaces. The study provides empirical insights that can guide organizations in designing healthier and more adaptive digital work systems.
Co-Authors Basalamah, Indira