Simulation of Dynamic Model of Information Systems Success in M-banking

Le résumé fourni par la source

Mobile commerce has significantly developed in the last decade. As mobile commerce grows, the need to use mobile banking systems becomes more serious. If mobile banking (m-banking) systems are assumed as information systems (IS), successful IS in m-banking means the banks are successful in managing their information systems. On the other hand, based on information success models, many factors play a role in banks' information systems in m-banking. This article is focused on simulating a dynamic model for IS success in m-banking. The system dynamic (SD) perspective helps us to elaborate better on the effects of each element of IS in m-banking. In this research, a dynamic model was developed based on two models of Delone and Mc Lean in information systems success. In previous studies, researchers analyzed the IS success with statistical methods that have so many limitations on the number of factors, but SD helps to overcome this limitation. Also, it helps to forecast the system's behavior for a long period. In this research, first of all, we start the modeling process by establishing a review of the literature and Delphi survey. The second stage was drawing Causal Loop Diagrams (CLD) and Stock Flow Diagrams (SFD) with VENSIM software based on the mental representations of the Delphi technique. In the third step, the VENSIM application was checked the model; In the fourth step, the model was formalized. Sensitivity analysis was the fifth step. After passing the sensitivity analysis step, the Delphi survey again checked the dynamic model. In this way, the dynamic model was validated and reliable. This research forecasts the behavior of each main factor for 132 months later with the VENSIM application. The results indicate that the main factors in the IS systems in m-banking should grow to be a successful information system. Two scenarios are developed in two extremes, optimistic and pessimistic. The dynamic model forecasts the behavior of each of the 6 systems for 44 quarters. Also, some sensitivity analyses show that security, easy learning, easy use, and user satisfaction are critical for the success of information systems in mobile bank systems. Tracking these paths helps the managers of IS systems in banks.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.