R Kiani Mavib
Papers
1
Total Citations
5
H-Index
1
About
R Kiani Mavib is a researcher whose work centers on operational efficiency and decision-making methodologies, with a particular focus on technology selection and performance evaluation. Their most cited paper, "Practical common weights goal programming approach for technology selection" (2009, 5 citations), introduces an innovative goal programming methodology that enhances discriminating power in evaluating decision-making units (DMUs) with multiple outputs and a single input. This contribution offers a practical framework for organizations to systematically assess and select optimal technologies, addressing a critical gap in efficiency measurement. By refining common weight approaches, Mavib’s work improves the accuracy and applicability of data envelopment analysis in real-world contexts. Though their citation count remains modest, the methodological rigor of their approach has provided a foundation for subsequent studies in operations research and technology management. Mavib’s research is particularly valuable for students and practitioners seeking robust, transparent tools for comparative efficiency analysis, demonstrating how targeted methodological innovations can drive informed decision-making in complex technological landscapes.
Research Focus
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Top Papers
- 1