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1 2010

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Identyfikacja stopnia rozwoju systemów informatycznych zarządzania

Luściński S., Gierulski W.

Zarządzanie Przedsiębiorstwem

2010

Vol. 13, nr 1

46-54

The processes of organization and management in modern organizations are dependent on the continuous supply and flow of accounting and managing information. Efficiency measured by the degree of rationality of management decisions increases significantly through the use of Management Computer Systems (MCS). Therefore, making right decisions about creation, development and use of the MCS is vital for any organization. The paper presents an original method to identify the level of growth of MCS using model-based diagnostic method based on the one proposed by R.L. Nolan stage model of growth of information technology (IT) within companies. The authors present the framework for designing the measurement instrument to survey the level of MCS growth as a questionnaire with an applied method of checklists. They present a quantitative approach using the tools and mathematical methods to determine the form of a continuous measurement of MCS growth rate. The introduction of continuous measurement in terms of growth rate to identify the stages of MCS development defined as the Nolan's index in place of the commonly used discrete measure increases the accuracy of diagnosis and allows comparing the states of the objects diagnosed as belonging to the same stage. The paper presents the center of gravity method and modified DEA method (Data Envelopment Analysis), each in two versions depending on the type of approximation functions taking into account the coexistence of the properties in a considered object which are characteristic for the different phases of development. Of the four procedures for determining, Nolan's ratio points out as the best the DEA method with a non-linear approximation function of g. The selection is based on the analysis of the results of the computational experiment. The smallest average deviation from the arithmetic mean of the Nolan's index calculated with discussed procedures was taken as a quality criterion. The authors expose prominent advantages of quantitative approaches, including the possibility of building an expert system that allows collection, analysis and interpretation of the facts about a particular organization and produce the recommendation for MCS growth with achieving alignment between information systems and organization as a whole.