2016
DOI: 10.1155/2016/4831867
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An Improved Performance Measurement Approach for Knowledge-Based Companies Using Kalman Filter Forecasting Method

Abstract: Performance measurement and forecasting are crucial for effective management of innovative projects in emerging knowledge-based companies. This study proposes an integrated performance assessment and forecasting model based on a combination of earned schedule methodology and the learning curve theory under risk condition. The operational performance is measured in terms of time and cost at completion indicators. As a novelty, the learning effects and Kalman filter forecasting method are employed to accurately … Show more

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Cited by 6 publications
(3 citation statements)
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References 26 publications
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“…Some scholars have done more in-depth research on the accuracy of performance prediction models. To improve the accuracy of performance forecasting models, Hasanzadeh et al (2016) proposed a forecasting method using learning effects and Kalman filter to predict firm performance. Nyitrai (2019) proposed an indicator variable indicating the time trend of financial ratios to improve the forecasting performance of bankruptcy forecasting models, which enriched the literature on bankruptcy forecasting.…”
Section: Related Workmentioning
confidence: 99%
“…Some scholars have done more in-depth research on the accuracy of performance prediction models. To improve the accuracy of performance forecasting models, Hasanzadeh et al (2016) proposed a forecasting method using learning effects and Kalman filter to predict firm performance. Nyitrai (2019) proposed an indicator variable indicating the time trend of financial ratios to improve the forecasting performance of bankruptcy forecasting models, which enriched the literature on bankruptcy forecasting.…”
Section: Related Workmentioning
confidence: 99%
“…B expresses the number of units produced before the first unit, so it is an experience factor. The value of B will be in the range of 0-10 (Gottlieb and Haugbølle (Hasanzadeh et al, 2016;Kara and Kayis, 2005: 209). Here y can represent not only time or cost but a wide range of outcomes of production for instance: defects per unit, or accidents per unit (Greenberg, 1971).…”
Section: Learning Curvementioning
confidence: 99%
“…In the literature, there are several papers on learning effect of construction: (Oglesby et al, 1993;Drewin, 1982;Teplitz, 1991;Everett and Farghal, 1994;Lutz et al, 1994;Lam et al, 2001;Couto and Texiera, 2005). Learning curve theory can be applied to predict cost and time, generally in units of time, to complete repetitive activities (Malyusz and Pem, 2014;Hasanzadeh et al, 2016).…”
Section: Learning Curvementioning
confidence: 99%