Research Article

An Improved Performance Measurement Approach for Knowledge-Based Companies Using Kalman Filter Forecasting Method

Table 1

Taxonomy of performance measurement models.

ReferenceFramework and methodologyPerformance indicatorsAnalysis of learning on performanceRisk analysis

[19]Multidimensional performance model for BSCFinancial, customer, internal processes, learning, and growth
[20]Performance measurement framework—using the analytic network process (ANP)The value of maintenance, operating costs
[21]Conceptual framework to incorporate “risk perspective” into the BSCFinancial, customer, internal processes, learning, and growth
[22]Predicting future performance by learning curvesTime and cost
[23]Integration of EVM with risk management-based performanceTime and cost
[24]Project performance evaluation using Random Forests and IN-PROMETHEE II methodsWide range of indices (e.g., growth of per capita income)
[25]Probabilistic evaluation of cost performance stability in earned value managementCost
[26]BSC and ANPKnowledge resources
[27]Intelligent systems in project performance measurement and evaluationTime and cost
[28] EVMTime and cost
Present studyA performance measurement and forecasting framework using learning curves under risk conditionsTime, cost, learning, and growth