Naslov
Estimation of optimal investment into information technology using hybrid MOMC model

Autori
Kozina, Melita ; Hunjak, Tihomir

Izvornik
Journal of Information and Organizational Sciences (0351-1804) 28 (2004); 67-91

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
benefits and risks of investing into IT; estimation of investing into IT; hybrid MOMC model

Sažetak
In order to assess and estimate optimal investing into information technology, a study has been done on the benefits and risks of such investments in a business system environment. The goal of reaching this decision will be actualised by identifying the best IT application with respect to estimated investment benefits and risks. In order to solve this problem, we used the hybrid Multi-Objective, Multi-Criteria (MOMC) model. The hybrid MOMC model is one of more recent models for estimating the usefulness of IT, combining whole-number linear goal programming and the Analytic Hierarchy Process (AHP) method. Estimating investments into IT is a complex issue, since quality (or immeasurable) uses and risk factors must be taken into cosideration along side quantity (measurable) elements of IT usefulness. Quality and risk factors are difficult to estimate with certainty, as there are no standard measures made for such estimations. In such a case, the estimation demands a general agreement on the metrics of attaching values to quality factors. The hybrid MOMC model is a structural decision-making model allowing decision-makers to identify all quantity, quality and risks factors involved in the particular situation(s) of investing into IT. All these factors are organized through a hierarchy structure and quantified through the AHP. By using the AHP model, decision-maker may determine the levels of priority for all factors (criteria) according to self-estimations of their relative importance as pertaining to investments. The purpose of determining such priority levels and importance is to have the decision-makers preferences fully adjust to the set goal and relative values of investment benefits and risks. Results gained by the AHP methods shall be used as entry values for the model of goal programming and the selection process.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

Napomena
(međunarodna recenzija, znanstveni rad)

POVEZANOST RADA