خلاصة:
A new’ integrated model is developed for information sysicms planning. In this model. entitled HISSPM, a combination of the strengths ot Critical Success Factors (CSF) method, Analytic Hierarchy Process (AIIP) technique and frenetic A lporithms (GA) is used to identify and prioritize the required information systems. This model considers both qualitative and quantitative factors, as we!l as the importance of the factors lo decision- makers, and can solve problems with relatively wide search space. Comparing the results of the proposed iiiodel with those of the famous available models reveals that the proposed model is valid ant1 efficient. The model tested on a real world problem, resulting in a portfolio of prioritized information systems. under certain conditions and constraints, which have alignment with organizational goals, strategies and plans. This model can help encotirge managers in optimal or near-optimal decision-making boost investments on required information systems.
ملخص الجهاز:
entitled HISSPM, a combination of the strengths ot Critical Success Factors (CSF) method, Analytic Hierarchy Process (AIIP) technique and frenetic A lporithms (GA) is used to identify and prioritize the required information systems.
Abstract - Keywords - Integrating CS Y, AH P, Genetic Algorithms, Information Systems Planning INTRODUCTION In the information age, cvaluation, prioritization and selection of intormation system projects are the major concerns of IS managers.
LITERA"I’URE REVIEW The literature review of lhis study is organized according to the three basic parts o1” the proposed model: CSF method and information systems prioritization, AHP technique, and genetic algorithms.
The proposed model is the first application of genetic algorithms in information systems planning process.
In other words, in the proposed model, a combination of thc strcngths of CSF method, AHP technique and genetic algorithm are used to identify thc prioritization of required information systems.
In the second component of the proposed model, priority of organizational units for information systems development is dctermined using AHP technique, hased on their contribution to realize organizational objectives, strategies and plans.
In the fifth component of the proposed model, genetic algorithms are used in order to find a near—optimal combination of prioritized information systems.
the results of the CSF method arc compared with those of the proposed model through considering the degree of alignment of resulting information systems with organizational objectives, strategies and plans.