A Balanced Scorecard-Driven DEA Model for Organizational Efficiency
This study introduces a novel framework that integrates the balanced scorecard (BSC) with Data Envelopment Analysis (DEA) to address the critical challenge of aligning organizational strategy with operational efficiency.The BSC, a widely adopted tool for translating strategic objectives into measurable performance indicators, is utilized to define inputs and outputs in the DEA model.This approach facilitates a comprehensive evaluation of the relative efficiency of decision-making units (DMUs) within organizations, while ensuring that performance assessments are aligned with overarching strategic goals.The integration of these methodologies bridges the gap between qualitative strategic insights and quantitative efficiency assessments, offering a holistic perspective on organizational performance.A case study in the banking sector illustrates the framework's applicability, demonstrating its effectiveness in identifying inefficiencies, benchmarking high-performing units, and providing actionable recommendations for resource optimization.The results underscore the robustness of the proposed model, highlighting its ability to enhance data-driven decision-making processes and support sustainable organizational growth.The framework's versatility is further evidenced by its potential for application across diverse sectors, making it a powerful tool for contemporary performance management.The implications of this approach are significant, offering organizations a systematic method for evaluating efficiency while simultaneously ensuring that performance aligns with strategic objectives, thereby fostering long-term organizational success.
Authors
- Esmaeil Najafi (ORCID: https://orcid.org/0000-0002-8734-5436)
- Sara Partouvi
Publication Details
- Journal
- Journal of Organizations Technology and Entrepreneurship
- Published
- 2024-09-30
- DOI
- https://doi.org/10.56578/jote020303
- Citations
- 3
- Primary Topic
- Efficiency Analysis Using DEA
- Type
- article
- Field-Weighted Citation Impact
- 1.47