Abstract :
In todayʹs globalizing world, also called the information age, information
and information technologies are becoming increasingly important for businesses and have
become an indispensable part of economic and social life. Nowadays, it is impossible to
think of a business that is far from information technology; in addition, it is important
to nd not only information, but also the highly accessible and reliable information. The
important thing is to use information technologies e ectively and eciently. Therefore, it
is expected that the e ective usage of information technology will have signi cant positive
e ects on business performance. The aim of this study is to examine and analyze the impact
of the intensive usage of information technologies on business performance in the supply
chain process. A sequential, multi-method approach, integrating Structural Equation
Modelling (SEM) with neural network analysis, was employed in this research. The
information technology usage performance network was formed by using the SEM model,
and the ANN model was used to predict a relationship between information technology
usage levels and business performance by using these network outputs. Furthermore, the
validity and reliability tests of the relevant model data were performed
