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Financial Analytics: Science and Experience
 

Analyzing investment in developing a performance management system using Petri nets

Vol. 8, Iss. 20, MAY 2015

PDF  Article PDF Version

Available online: 7 June 2015

Subject Heading: MATHEMATICAL ANALYSIS AND MODELING IN ECONOMICS

JEL Classification: 

Pages: 2-12

Isaev D.V. National Research University Higher School of Economics, Moscow, Russian Federation
disaev@hse.ru

Importance The article discusses the issues of analyzing investment in developing performance management systems that support strategic management processes in terms of information. As for the specifics of such systems, they fail to evaluate the results of their development financially, thus making conventional investment analysis methods inapplicable. In this respect, it is reasonable to apply an approach that would compare investment and respective results that are not expressed in monetary terms. Considering the significant effect of random and casual factors, I suggest using simulation modeling for the above purpose.
     Objectives The research aims at devising a discrete event simulation model that would assess results after programs for developing performance management systems are implemented. The research pursues describing the main components of the model and outlining guidelines on evaluation and selection of development programs.
     Methods The proposed model relies upon the methodology of temporary and stochastic Petri nets.
     Results The simulation model allows analyzing the results of investment in developing performance management systems. The model implies describing projects, precedence relationships among them and the effect of the projects on maturity of the performance management system and financial indicators.
     Conclusions and Relevance The proposed simulation model allows computing the generalized indicators that describe the productivity, resource intensity and temporary parameters of the program for developing the performance management system. When there are several programs, these indicators may be used to compare alternative programs and substantiate why one of them is chosen.

Keywords: management system, performance, development program, investment analysis, simulation modeling, discrete event modeling, Petri net

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