Strategic Performance Evaluation Using the Interval Malmquist Index for Institutional Assessment
Journal Title: Acadlore Transactions on Applied Mathematics and Statistics - Year 2024, Vol 2, Issue 3
Abstract
This study proposes an advanced framework for performance evaluation by extending the Malmquist Productivity Index (MPI) to accommodate interval data, addressing the inherent uncertainty and imprecision frequently encountered in institutional assessments. In many contexts, input-output data are often reported as intervals rather than precise values, which poses significant challenges for evaluating productivity changes. The extended MPI model allows for a more comprehensive analysis of performance by incorporating such interval data, thus providing a robust mechanism for assessing both progress and regression in the productivity of Decision-Making Units (DMUs). A case study on university departments is employed to demonstrate the practical application of this interval-based model. The results highlight notable variations in efficiency and technological advancement, offering valuable insights for institutional decision-makers. The proposed methodology enhances the accuracy of performance evaluation in dynamic and uncertain environments, making it a powerful tool for strategic planning and policy formulation. Furthermore, it is suggested that this interval-based approach offers a significant improvement over traditional models by accounting for the uncertainty present in real-world data. The study contributes to the broader field of strategic performance analytics by advancing the methodological understanding of productivity analysis, offering a more nuanced and reliable framework for institutional assessment.
Authors and Affiliations
Bardia Khalilian1, Soheil Fakheri, Mohammad Fallah
Strategic Performance Evaluation Using the Interval Malmquist Index for Institutional Assessment
This study proposes an advanced framework for performance evaluation by extending the Malmquist Productivity Index (MPI) to accommodate interval data, addressing the inherent uncertainty and imprecision frequently encoun...
Stochastic Dynamics and Extinction Time in SIR Epidemiological Models
In the realm of epidemiological modeling, the intricacies of epidemic dynamics are elucidated through the lens of compartmental models, with the SIR (Susceptible-Infectious-Recovered) and its variant, the SIS (Susceptibl...
Analyzing Sensitivity and Solitonic Behavior Using the Dullin-Gottwald-Holm Model in Shallow Water Waves
This paper presents an investigation of traveling wave solutions and a sensitivity analysis for the unidirectional Dullin-Gottwald-Holm (DGH) system, a well-established model for wave propagation in shallow water. We app...
A Systemic Approach to Risk Management: Utilizing Decision Support Software Solutions for Enhanced Decision-Making
The process of decision-making involves selecting the most suitable management action from a range of options, thereby guiding the system towards its management objectives. Within the complex decision-making environment,...
Evaluating the Employment Efficiency of IT Candidates Using Data Envelopment Analysis
This study aims to identify efficient Information Technology (IT) candidates for a specific position and highlight areas for improvement using Data Envelopment Analysis (DEA). By streamlining the selection process and re...