Publisher

NURSCIENCEINSTITUTENURSCIENCEINSTITUTE

Journal Journal of Management and Digital BusinessJournal of Management and Digital Business Abstract

This study aims to analyze workload distribution at ISPCX, a leading internet service provider in Bandung, to identify imbalances and propose strategies for optimizing resource allocation and operational efficiency. The study employs a single-case study approach, integrating both quantitative and qualitative methods. Data were collected through document analysis, employee surveys, semi-structured interviews, and direct observations. The Full-Time Equivalent (FTE) method was utilized to calculate workload ratios, providing a quantitative measure of workforce utilization. The analysis revealed significant workload disparities across roles and divisions. Overburdened roles, such as the Manager in the General Affairs Division (workload ratio 3.24), risk employee burnout. Conversely, underutilized roles in the Technical Division, like the Manager (0.30), indicate inefficiencies in task alignment. Balanced roles were observed in specific administrative positions, highlighting potential best practices. The findings underscore the importance of strategic task redistribution and leveraging digital tools to improve efficiency and reduce employee strain. This study provides actionable insights for digital businesses, emphasizing the role of evidence-based workload management in driving economic growth and sustainable development.

Conclusion

The study revealed significant workload disparities across divisions at ISPCX, highlighting inefficiencies in resource allocation and task alignment.Roles in the General Affairs and Administrative Divisions were often overburdened, posing risks of employee burnout, while roles in the Technical Division were frequently underutilized.These findings underscore the need for strategic task redistribution, the adoption of digital tools, and a more evidence-based approach to workload management to optimize operational efficiency and promote employee well-being.

Future Research

Further research should investigate the long-term impacts of workload redistribution on employee productivity and job satisfaction at ISPCX, providing a comprehensive understanding of the effectiveness of implemented strategies. Additionally, exploring the integration of artificial intelligence (AI) and machine learning (ML) tools for automated task allocation and real-time workload monitoring could offer innovative solutions to optimize resource utilization and proactively address imbalances. Finally, a comparative study across multiple internet service providers could identify best practices in workload management and reveal industry-specific challenges and opportunities, contributing to a broader understanding of effective strategies for the digital economy. These investigations, building upon the current studys findings, will provide valuable insights for enhancing workforce efficiency, promoting employee well-being, and driving sustainable growth within the dynamic landscape of digital businesses.

References

1. 0. pdf obj metadata endobj extgstate font procset text imageb imagec imagei annots mediabox contents... doi.org/10.37502/ijsmr.2024.711100 pdf obj metadata endobj extgstate font procset text imageb imagec imagei annots mediabox contents doi 10 37502 ijsmr 2024 71110
2. Measurement of Load Index and Labor Needs Using FTE Method in RHI PT-PKC Department | Triansyah | Angkasa:... ejournals.itda.ac.id/index.php/angkasa/article/view/2075Measurement of Load Index and Labor Needs Using FTE Method in RHI PT PKC Department Triansyah Angkasa ejournals itda ac index php angkasa article view 2075

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File size	350.95 KB
Pages	12
DMCA	Report